bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing the Knowledge and Proficiency for Interior Designers in Malaysia through the Implementation Building Information Modelling
Authors: Abd Hamid A B , Embi M R , Mohd Taib M Z , Abdul Razak A H N 
Published: January 2020

Abstract
Building Information Modelling (BIM) is the process to develop and enhance the process of work to ensure the accuracy in the scope of work and efficiency in the documentation are less error during the construction project. Having the knowledge and proficiency for interior designers on the required tasks and scope of work for interior designers are critical as a tools to manage interior project. This study is to emphasize the significance of knowledge and skill among interior designers in Malaysia while implement BIM in the interior projects. This research was conducted through preliminary study by choosing interior design firms in Klang Valley. Sixteen (16) interior design firms were choose randomly in this survey. The survey were conduct through questionnaire survey and discussion with the interior design expertise. The data was analysed the elements of barrier and key factors the enhancement of knowledge and proficiency for interior designers in Malaysia.
A Review of Green Roof: Definition, History, Evolution and Functions
Authors: Abass F , Ismail L H , Wahab I A , Elgadi A A 
Published: January 2020

Abstract
In cities, buildings contribute large unused panels, especially on their wall and roofs. These external surfaces generally made from materials that listed as a reflector to the heat such as concrete, glass, and bricks. Covering the external surfaces with green vegetation could be a solution to many environmental, economic and social problems, especially in the urban areas. A review was directed of studies that reported and measured on the relationship between characteristics of vegetation and their influence on building thermal performance, air and water pollution, and building energy-efficient. A numerous of published studies were investigated for their: (a) definition based on roof typologies and combinations; (b) historical evolution periods; (c) observation the green system functions. These analyses cover to afford scholars with a review of conventional techniques to understand one of the passive cooling strategies adopted in warm and cold climates. The techniques provide a significant contribution to the field of sustainable architecture, also to improve understanding of the progressive developments of a green roof. Despite other new designs of green system, this conventional and simple green roof has remained to contribute significantly to provide indoor thermal comfort.
Finite Element Modeling of Innovative Shallow Raft Foundation with Granular Pile Anchor System for Expansive Clays
Authors: Hamad Sfoog Ehab , Lim Meng Siang Alvin John , Albadri Wael M. , Naji Nahla , Sy Yi Sim , Anak Guntor Nickholas Anting 
Published: January 2020

Abstract
Granular pile anchor foundations (GPAF) are considered a significant promising foundation system to alleviate the serious effects of changes in the volume of expansive soils that occur throughout shrinkage and expansion. In this paper, 3D finite element analyses are presented by applying PLAXIS software, which is carried out on a typical double-story building built over a GPAF system in expansive soil. An investigation on GPAF system is presented in terms of its resistance ability to the forces caused by the soil movement as a result of variant moisture and the effect of the resistance on the superstructure induced by the straining actions. The results indicate the significance of the GPAF system in restricting the soil movement with high efficiency, which results in a noticeable improvement in the building structural responses in terms of uplift forces, heave and induced deformations.
The Evolution of Imperative Programming Paradigms as a Search for New Ways to Reduce Code Duplication
Authors: Avacheva T , Prutzkow A 
Published: January 2020

Abstract
The cause for imperative programming paradigm shift is the impossibility of developing software systems of a new level of complexity. We consider the evolution of programming paradigms: structured, procedural, and object-oriented. We demonstrate new ways of code duplication reducing have appeared with the shift of paradigm. We conclude the factor of code duplication reducing determines the direction of programming paradigm evolution. We discover the constraints, which were introduced in the paradigms, simplify the development of software systems. We conclude the new constraints allow the development of more complex software systems. The main reason for the code duplication is the low qualification of programmers. Therefore, in the process of learning programming, one should pay attention to code duplication and ways to reduce it.
Nonparametric Method for Aircraft Sensor Fault Real-Time Detection and Localization
Authors: Bondarenko Y , Chekin A , Zybin E , Kosyanchuk V 
Published: January 2020

Abstract
This paper is a part of a series of articles on unified nonparametric methods in dynamic systems theory. Here the authors propose a new method for dynamic system sensor fault real-time detection and localization based only on some past measurements of monitored system input-output signals. The described nonparametric method needs no any priori information on system or sensor model parameters and does not require functional redundancy, identification, prediction, training or statistical calculations. An example of nonparametric detection and localization of aircraft multiple sensor faults is presented.
Special Aspects of Quality Assurance in the Design, Manufacture, Testing of Aerospace Engineering Products
Authors: Dmitriev A Ya , Zagidulin R S , Mitroshkina T A 
Published: January 2020

Abstract
A quality assurance model is proposed for the design, manufacture, testing of aerospace products based on robust design approaches and the widespread use of additive technologies. Examples of developing proposals and optimizing the design of aerospace engineering products based on the presented are given. Tests of optimized prototypes of products made by selective laser sintering show positive results.
Buckling Problem Statement and Approaches to Buckling Problem Investigation of Structurally-Anisotropic Aircraft Panels Made from Composite Materials
Authors: Gavva L M , Firsanov V V , Korochkov A N 
Published: January 2020

Abstract
Aircraft composite structure design in the field of production technology is the outlook research trend. New mathematical model relations for the buckling investigation of structurally-anisotropic panels comprising composite materials are presented. The primary scientific novelty is the further development of the theory of thin-walled elastic ribs related to the contact problem for the skin and the rib with an improved rib model. One considers the residual thermal stresses and the preliminary tension of the reinforcing fibers with respect to panel production technology. The buckling problem results in the boundary value problem when solving for the eighth order partial derivative equation in the rectangular field. The solution is designed by a double trigonometric series and by a unitary trigonometric series. The results of testing series are presented.
Design of an Experimental Test Bench for a UAV Type Convertiplane
Authors: Jatsun S , Emelyanova O , Martinez Leon A S 
Published: January 2020

Abstract
This paper deals with the design of a test bench for an unnamed aerial vehicle UAV type convertiplane with controlled electric drives and tilt rotors (propellers) executed on a quadcopter pattern. This experimental test bench provides an intermediate step between simulation process and real time flight of the UAV, it allows to test its and evaluate solutions in safe and controllable environment conditions. Thus, the development of methods of state estimation and control UAV becomes possible, in addition the developed system can be used for teaching about the basis of automatic control in multirotor aerial vehicles. The test bench presented in this paper contains a convertiplane type quadcopter attached on the base through a universal joint which let the UAV be able to rotate around plane axes x and y, while the vertical axis z is fixed, in turn this part of the system is fixed through a bar connected with a linear guideway block that moves over a linear guide which depends of the generated lifting force by the UAV. To determinate the travelled road of the system and the different parameters of the behavior of the convertiplane it has been also implemented a measuring system.
Modern Diagnostics of Aircraft Gas Turbine Engines
Authors: Komshin A S , Pronyakin V I 
Published: January 2020

Abstract
The article deals with the assessment of the technical condition of gas turbine engines. The analysis of the application of traditional approaches to the assessment of the technical condition of gas turbine engines. The technique of obtaining parameters of low-frequency torsional vibrations of the shaft on the basis of precision chronometric measurements is presented.
Operator’s State Estimation Based on the Face’s Video Images Analysis Using Deep Convolutional Neural Networks
Authors: Korsun O N , Yurko V N , Mikhaylov E I 
Published: January 2020

Abstract
The paper deals with the problem of operator’s state estimating. For this purpose various approaches based on using deep convolutional neural networks are proposed. The approach using automatic emotion recognition methods is considered in the most detail. During the experiment video records of the operator’s face registered during operator performing the flight task on the flight simulator were processed. To determine the type of operator’s activity the studies based on using the emotional background of the face are also carried out. The experimental results of this approach confirmed the efficiency of the selected methods, especially for monitoring the operator’s state when falling asleep.
Automated Identification of Critical Malfunctions of Aircraft Engines Based on Modified Wavelet Transform and Deep Neural Network Clustering
Authors: Kulagin V P , Akimov D A , Pavelyev S A , Potapov D A 
Published: January 2020

Abstract
The paper considers the issues of automatic classification of vibrational states of aircraft engine malfunctions based on the use of convolutional neural network processing of vibrational measurement data presented in spectral form and the knowledge of experts with experience in interpreting spectrograms characterizing the vibrational state of aircraft engines. The developed spectrogram analysis model allows the state monitoring of aircraft engines in automatic mode both during maintenance and in flight operation. The system is able to timely notify technical personnel or crew about the appearance of signs of emergency situations, as well as the type of possible malfunctions. It is shown that the main problem affecting the quality of detection of a potential turbine malfunction is a small sample of data corresponding to malfunctioning states. It is proposed to detect emission anomalies in a small sample by recognizing a modified wavelet transform and neural network clustering, which allows more complete formation of a training sample. The data samples used in training the neural network classifier during the experimental studies were generated on the basis of existing archive files containing complete aperture data from engine vibration sensors and information about malfunctions detected in them.
Reliability Analysis of the Air Transportation Network when Blocking Nodes and/or Connections Based on the Methods of Percolation Theory
Authors: Lesko Sergey , Aleshkin Anton , Zhukov Dmitry 
Published: January 2020

Abstract
The paper shows that to study the reliability and fault tolerance of air transportation networks, methods of percolation theory can be used, in which any aviation transport structure can be represented as a random non-planar, incompletely connected graph (nodes are airports, arcs are airlines). In the theory of percolation, one can consider the solution of the problems of finding the shares of blocked nodes and blocked connections for networks with various random and regular structures, in which they decompose into unconnected areas. The share of blocked nodes (in the node problem) or connections (in the connection problem), at which the conductivity between two arbitrarily selected network nodes disappears, is called the percolation (flow) threshold. For the same structure, the values of percolation thresholds for the bond problem and the node problem have different meanings. The percolation threshold value depends on the average number of connections per network node (density), and is a criterion for its reliability, i.e. determines the percentage of blocked nodes and/or communications that the network will lose the necessary level of performance ability. The dependence of the blocking threshold (percolation) on the network connection density can be expressed mathematically. Using a map of a real aviation transport network, it is possible to determine the average number of connections per one node and then calculate the threshold value of its predetermined reliability value. If the reliability threshold needs to be increased, then the necessary number of additional links can be calculated.
Printed Load Cells on Clothing Made of Fire-Protective Fabric
Authors: Lozitskaya A V , Kondratov A P , Baranov V A , Cherkasov E P 
Published: January 2020

Abstract
The paper represents the trial results of nonwoven fabric stencil-screen printed gauge indicators that can be made on other two types of fabric. They can be applied either for specific producing of pilot and test pilots’ uniform or for airport emergency and fire officers clothing. The research being carried out, volt-ampere characteristics of conductive belt layer and electrical resistance scale effected by distortion were identified. It was also revealed that aramid fiber fabric sensors were to be applicable for creep stress measurement at temperatures of 20–200 C.
Modeling Systems Based on the Assessment of Weak Symmetry Breaking in Reconstructed Attractors
Authors: Nikulchev Evgeny 
Published: January 2020

Abstract
The paper proposes to use the research method for chaotic processes based on the identification of weak symmetry breaking of the restored attractor. It is shown how the calculations results can be used to identify systems. An algorithm for creating finite-difference models has been developed, including: calculating by numerical methods the necessary conditions for the existence of chaos, reconstructing an attractor in a time series, searching for symmetric attractor fragments under conditions of weak symmetry breaking, determining the form of nonlinearities, and parametric identification. The result of the algorithm is a system of finite-difference equations in the state space Criteria for assessing symmetry breaking based on estimates of the divergence of fragments of phase trajectories are introduced. The results of modeling systems with chaotic dynamics are presented.
Algorithm Development for Estimating Projections of Wind Velocity Using Measurements of Airspeed, Angle of Attack and Sideslip
Authors: Moung Htang Om , Latt Kyaw Zin , Zhelannikov A I 
Published: January 2020

Abstract
The article considers the problem of estimating wind velocity in flight. The method proposed in this paper provides estimates for three projections of wind velocity in a normal Earth coordinate system using satellite navigation data (SNS), as well as on-board barometric measurements of flight speed. It is assumed that the wind has a constant velocity and direction for the flight interval, the duration of which is 30–31 s. The proposed algorithm can provide measurement of three projections of wind velocity for interval 0.5 s, which compares favourably with other options when the required observation interval was tens of seconds.
Speech Recognition Using Convolutional Neural Networks on Small Training Sets
Authors: Poliyev A V , Korsun O N 
Published: January 2020

Abstract
The algorithm of separate words automatic recognition based on convolutional neural networks is developed and presented in this paper. Distinctive feature of this algorithm is the training on sets consisting of only hundreds or thousands of samples. Therefore, important problem is the selection of optimal architecture for neural network, which was firstly proposed and tested. After that, four different cases for recognition were researched: speaker-dependent recognition without noise, speaker-independent recognition without noise, speaker-dependent recognition with noise, speaker-independent recognition without noise. Finally, we analyse the experiment results that showed good results for all cases of interest.
Mathematical Model of Lithium-Ion Battery Cell and Battery (Lib) on its Basis
Authors: Smagin D I , Trofimov A A , Napreenko K S , Neveshkina A R 
Published: January 2020

Abstract
The article considers a mathematical model of lithium-ion battery cell and battery (LIB) on its basis. The developed mathematical model allows predicting LIB temperature on different parts of its surface during charging and discharging by nominal and maximum currents. The results of the battery discharge process simulation and validation of the mathematical model based on the field experiment results are also presented
Structure and properties of graphene reinforced Ti-based composite coatings on TC4 alloy by argon arc cladding
Authors: Meng J S , Shi X P , Zhang S J , Wang M Y , Liu B B , Xue F , Cui WC 
Published: January 2020

Abstract
The TiC coating was prepared on TC4 alloy using argon arc cladding method of graphene and titanium powder to improve wear resistance. The microstructure and phase of coating was observed by XRD, OM and SEM. The properties of coating were tested by microhardness-tester and dry slipping friction tester. The results show that the coating consists of TiC and Ti, and the composite coatings have good bonding with substrate. The in-situ synthesis of TiC particles are uniformly distributed in the composite coatings, and the morphology of TiC particles are composed of particle-shaped, rod-like and flower-like morphologies. The average microhardness of composite coating can reach 835 HV, about 2.8 times of the substrate. The composite coating has excellent tribological properties.
Novel tubular graphene synthesized via chemical vapor deposition process
Authors: Yang Ming , Wang Yanyan , Dong Lei , Wu Zhekun , Liu Yanhua , Peng Changsi 
Published: January 2020

Abstract
In this work, we prepared a novel nanoscale tubular graphene (TG) by depositing it on the surface of nickel nanowires (Ni-NWs). This method allowed us to synthetize Ni-NWs by a chemical reduction process carried out under water-bath heat and magnetic field. The TG was subsequently deposited on the as-prepared Ni-NWs through a chemical vapor deposition (CVD) process under atmospheric pressure. Scanning electron microscopy (SEM) and Raman spectroscopy revealed the presence of Ni-NWs and TG/Ni-NW composites containing a few layers of graphene. The diameters of the Ni-NWs and TG/Ni-NW composites were ca. 300–500 and 500–1000 nm, respectively. The novel tubular structure of graphene provided this material with large specific surface area and excellent electrical conductivity, making it an ideal for sensor applications.
Performance analysis of automatic sprinkler systems in warehouses using fire dynamic simulation
Authors: Nonsawat Pennurat , Patvichaichod Supat 
Published: January 2020

Abstract
This research is based on studying the capability of automatic sprinkler systems by applying fire dynamics simulation. The selection of scenarios based on NFPA 101. A warehouse containing diving instrument in carton placed on wood pallets, which can cause class A fires. To prevent potential damage to the goods, the conflagration in this specific scenarios is simulated to study the effects of temperature on the roof deterioration, the proficiency of the automatic sprinkler systems to extinguish the fire. Researchers found that the sprinklers located on the ceiling of the warehouse are not able to put out the fire but are able to control further spreading of the fire. Researchers, then, install more fire sprinklers in the racks, following the standard from NFPA 13. Results have shown that the second set of sprinklers is not capable of extinguishing the fire but controlling the spread and significantly reducing the temperature. Furthermore, installing both sets of fire sprinklers can prevent the collapse of the roof.
Performance analysis of inert gas systems in main distribution board room using fire dynamics simulation
Authors: Rattananon Nummon , Patvichaichod Supat 
Published: January 2020

Abstract
This study focused on the fire-extinguishing performance of inert gas in main distribution board room using fire dynamics simulator. The study included 4 types of inert gas: Nitrogen, Argon, Argonite and Inergen. The simulation was done in a 1 meters wide x 2.1 meters height x 1 meters deep main distribution board. In simulation, according to each type of inert gas, 3405.0 kW/m2 heat release rate of electrical wires with ramp-up time at 492.0 second using concentration of inert gases based on NFPA 2001 standard. With initial concentration of Nitrogen at 41.9%, Argon 52.9%, Argonite 42.7% and Inergen 38.5% and also simulated the incidents when increased safety factor of Class C fire to 50% and 100% respectively in all 4 experimental gases which divided into 12 cases.
The results showed that different types of inert gases did not affect the fire-extinguishing performance caused by the same fuel in the same environment. And the increasing of safety factor of Class C fire by 50% and 100% respectively in all 4 types of inert gas did not improve their fire-extinguishing performance.
Evacuation time analysis of high-rise building by Using Pathfinder case study: Residential Occupancy
Authors: Sudte Jeeraphon , Patvichaichod Supat 
Published: January 2020

Abstract
This research involves the study of evacuation time for a high-rise and extra-large building in Bangkok, which has 41 stories. The height of building is 143.7 meters and the building have usage area of 31,898 square meters. The objectives of this research are the estimate time of the building evacuation. The building occupant load of 2,461 persons was estimated according to NFPA 101 Life Safety Code. The simulation via Pathfinder was carried out for 4 cases; Case 1 fire in resident room on the 13th floor is to ensure that the type fires most likely to occur, Case 2 fire in lounge at the 35th floor that a large number of occupants in a large area and Case 3,4 from case 1 and case 2 the exit stair at the inside is not available. The building evacuation times are 2,321 seconds, 2,410.8 seconds, 2,736.3 seconds, and 2,841.8 seconds respectively. In the case where only one exit stair is available, the building evacuation time may be increase because of the congestions at the exit stair.
Performance – based life safety analysis of the hospital building
Authors: Chiangaek Natnaree , Patvichaichod Supat 
Published: January 2020

Abstract
This study Performance – Based Life Safety Analysis of the Hospital Building reference NFPA 101, Life Safety Code. Four simulation scenarios were selected for this simulation. First, fire in a patient room; evacuation time is 2,847.3 seconds after the announcement. Second, fire in a storage room near the canteen; evacuation time is 3,014.5 seconds after the announcement. Third, from the first and second scenarios have a nonoperative fire alarm system which increases evacuation time that is 3,122.0 seconds and 3,235.8 seconds respectively. From simulation results shows that the first problem is the bottleneck at the fire escape door. It must be modified by expanding the door. And the second problem is the slow movement of the patient that has to solve the problem by having a staff to help evacuate.