bluuebunny/crossref_metadata_2025 huggingface dataset:
The Symmetry of Viral Sialic Acid Binding Sites–Implications for Antiviral Strategies
Authors: Rustmeier Nils H. , Strebl Michael , Stehle Thilo
Published: October 2019

Virus infections are initiated by the attachment of the viral particle to protein or carbohydrate receptors on the host cell. Sialic acid-bearing glycan structures are prominently displayed at the cell surface, and, consequently, these structures can function as receptors for a large number of diverse viruses. Structural biology research has helped to establish the molecular bases for many virus–sialic acid interactions. Due to the icosahedral 532 point group symmetry that underlies many viral capsids, the receptor binding sites are frequently arranged in a highly symmetric fashion and linked by five-fold, three-fold, or two-fold rotation axes. For the inhibition of viral attachment, one emerging strategy is based on developing multivalent sialic acid-based inhibitors that can simultaneously engage several of these binding sites, thus binding viral capsids with high avidity. In this review, we will evaluate the structures of non-enveloped virus capsid proteins bound to sialylated glycan receptors and discuss the potential of these structures for the development of potent antiviral attachment inhibitors.
Innovative Variance Corrected Sen’s Trend Test on Persistent Hydrometeorological Data
Authors: Wang Wenpeng , Zhu Yuelong , Liu Bo , Chen Yuanfang , Zhao Xu
Published: October 2019

Trend detection in observations helps one to identify anthropogenic forces on natural hydrological and climatic systems. Hydrometeorological data are often persistent over time that deviates from the assumption of independence used by many statistical methods. A recently proposed Sen’s trend test claimed to be free of this problem and thereby received widespread attention. However, both theoretical derivation and stochastic simulation of the current study implies that persistence inflates the trend significance, leading to false trends. To tackle this problem, we incorporate the feature of persistence into the variance of the trend test statistic, whereby an innovative variance-corrected Sen’s trend test is developed. Two theoretical variances of the trend test statistic are newly derived to account for short-term and long-term persistent behavior. The original variance for independent data is also corrected because of its negative bias. A stepwise procedure, including steps to specify the underlying persistent behavior and to test trend with new statistic, is outlined for performing the new test on factual data. Variance-corrected Sen’s trend test can effectively restore the inflated trend significance back to its nominal state. This study may call for the reassessment of published results of the original Sen’s trend test on data with persistence.
Three-Dimensional Numerical Method for Simulating Large-Scale Free Water Surface by Massive Parallel Computing on a GPU
Authors: Peng Yongqin , Diao Wei , Zhang Xujin , Zhang Chunze , Yang Shuqing
Published: October 2019

Water wave dynamics and its engineering application have always been a key issue in the field of hydraulics, and effective and efficient numerical methods need to be proposed to perform three-dimensional (3-D) simulation of large-scale water fluctuation in engineering practice. A single-phase free-surface lattice Boltzmann method (SPFS-LB method) is coupled with a large-eddy simulation approach for simulating large-scale free water surface flows, and the simulation is accelerated on a GPU (graphic processing unit). The coupling model is used to simulate the evolution process of dam-break wave after complete and partial dam-break. The formation mechanism of horizontal and vertical vortices in water after partial dam-break and the advance and evolution process of dam-break flow on non-contour riverbed are analyzed. The method has been verified to be reasonable and can obtain a more accurate time curve of water level fluctuation. Applying this method to practical arch dams, discharge coefficients consistent with empirical formulas can be obtained by comparison and analysis, and the surface flow phenomena (such as tongue diffusion, surface fragmentation, and surface fusion) can be well simulated by this method. In addition, based on the key technology of parallel computing on a GPU, the implementation of the SPFS-LB model on a GPU unit achieves tens of millions of lattice updates per second, which is over fifty times higher than that on a single CPU chip. It is proved that the proposed method for large-scale water fluctuations can be used to study practical engineering problems. The mathematical model method realizes the efficient and accurate simulation of practical physical problems.
Effects of the Freezing–Thawing Cycle Mode on Alpine Vegetation in the Nagqu River Basin of the Qinghai–Tibet Plateau
Authors: Man Zihao , Weng Baisha , Yang Yuheng , Gong Xiaoyan , Li Meng , Yu Zhilei
Published: October 2019

The freezing–thawing cycle is a basic feature of a frozen soil ecosystem, and it affects the growth of alpine vegetation both directly and indirectly. As the climate changes, the freezing–thawing mode, along with its impact on frozen soil ecosystems, also changes. In this research, the freezing–thawing cycle of the Nagqu River Basin in the Qinghai–Tibet Plateau was studied. Vegetation growth characteristics and microbial abundance were analyzed under different freezing–thawing modes. The direct and indirect effects of the freezing–thawing cycle mode on alpine vegetation in the Nagqu River Basin are presented, and the changing trends and hazards of the freezing–thawing cycle mode due to climate change are discussed. The results highlight two major findings. First, the freezing–thawing cycle in the Nagqu River Basin has a high-frequency mode (HFM) and a low-frequency mode (LFM). With the influence of climate change, the LFM is gradually shifting to the HFM. Second, the alpine vegetation biomass in the HFM is lower than that in the LFM. Frequent freezing–thawing cycles reduce root cell activity and can even lead to root cell death. On the other hand, frequent freezing–thawing cycles increase microbial (Bradyrhizobium, Mesorhizobium, and Pseudomonas) death, weaken symbiotic nitrogen fixation and the disease resistance of vegetation, accelerate soil nutrient loss, reduce the soil water holding capacity and soil moisture, and hinder root growth. This study provides a complete response mechanism of alpine vegetation to the freezing–thawing cycle frequency while providing a theoretical basis for studying the change direction and impact on the frozen soil ecosystem due to climate change.
Explicit Solution for Critical Depth in Closed Conduits Flowing Partly Full
Authors: Shang Haixin , Xu Song , Zhang Kuandi , Zhao Luyou
Published: October 2019

Critical depth is an essential parameter for the design, operation, and maintenance of conduits. Circular, arched, and egg-shaped sections are often used in non-pressure conduits in hydraulic engineering, irrigation, and sewerage works. However, equations governing the critical depth in various sections are complicated implicit transcendental equations. The function model is established for the geometric features of multiple sections using the mathematical transform method and while considering non-dimensional parameters. Then, revised PSO algorithms are implemented in MATLAB, and the right solution’s formula for the critical depths in various non-pressure conduit sections is established through optimization. The error analysis results show that the established formula has broad applicability. The maximum relative errors of the formula for critical depths are less than 0.182%, 0.0629%, and 0.170% in circular, arched, and egg-shaped sections, respectively, which are more accurate than those of existing formulas; the form of the formula proposed in this work is also more compact than that of the existing formulas. The results of this research may be useful in design, operation, and maintenance in conduit engineering.
The Spatial Distribution of the Microbial Community in a Contaminated Aquitard below an Industrial Zone
Authors: Balaban Noa , Yankelzon Irina , Adar Eilon , Gelman Faina , Ronen Zeev , Bernstein Anat
Published: October 2019

The industrial complex Neot Hovav, in Israel, is situated above an anaerobic fractured chalk aquitard, which is polluted by a wide variety of hazardous organic compounds. These include volatile and non-volatile, halogenated, organic compounds. In this study, we characterized the indigenous bacterial population in 17 boreholes of the groundwater environment, while observing the spatial variations in the population and structure as a function of distance from the polluting source. In addition, the de-halogenating potential of the microbial groundwater population was tested through a series of lab microcosm experiments, thus exemplifying the potential and limitations for bioremediation of the site. In all samples, the dominant phylum was Proteobacteria. In the production plant area, the non-obligatory organo-halide respiring bacteria (OHRB) Firmicutes Phylum was also detected in the polluted water, in abundancies of up to 16 %. Non-metric multidimensional scaling (NMDS) analysis of the microbial community structure in the groundwater exhibited clusters of distinct populations following the location in the industrial complex and distance from the polluting source. Dehalogenation of halogenated ethylene was demonstrated in contrast to the persistence of brominated alcohols. Persistence is likely due to the chemical characteristics of brominated alcohols, and not because of the absence of active de-halogenating bacteria.
Shift of Sediments Bacterial Community in the Black-Odor Urban River during In Situ Remediation by Comprehensive Measures
Authors: Zhang Jian , Tang Yun , Kou Zhanguo , Teng Xiao , Cai Wei , Hu Jian
Published: October 2019

The phenomenon of black-odor urban rivers with rapid urbanization has attracted extensive attention. In this study, we investigated the water quality and composition of sediment-associated bacteria communities in three remediation stages (before remediation, 30 days after remediation, and 90 days after remediation) based on the in situ remediation using comprehensive measures (physical, chemical, and biological measures). The results show that the overlying water quality was notably improved after in situ remediation, while the diversity and richness of sediment-associated bacterial communities decreased. A growing trend of some dominant genus was observed following the remediation of a black-odor river, such as Halomonas, Pseudomonas, Decarbonamis, Leptolina, Longilina, Caldiseericum, Smithella, Mesotoga, Truepera, and Ralstonia, which play an important role in the removal of nitrogen, organic pollutants and hydrogen sulfide (H2S) during the sediment remediation. Redundancy analysis (RDA) showed that the bacterial community succession may accelerate the transformation of organic pollutants into inorganic salts in the sediment after in situ remediation. In a word, the water quality of the black-odor river was obviously improved after in situ remediation, and the bacterial community in the sediment notably changed, which determines the nutrients environment in the sediment.
A Classification Method for Fish Swimming Behaviors under Incremental Water Velocity for Fishway Hydraulic Design
Authors: Mu Xiangpeng , Cao Ping , Gong Li , Baiyin Baoligao , Li Xiang
Published: October 2019

In fishway design, the combination of fish swimming behaviors and suitable fishway hydraulic characteristics increases the fish passage efficiency. In this study, the most representative grass carp among the “four major Chinese carps” was selected. Under conditions similar to the time period for feeding migration, juvenile grass carps were targeted to study the swimming characteristic indicators (i.e., critical and burst swimming speeds) and swimming behaviors that were closely associated with fishway hydraulic design using the incremental water velocity method in a homemade test water tank. (1) The study results reveal that both the absolute critical (Ucrit) and burst (Uburst) swimming speeds increased linearly with increasing body length and both the relative critical (U’crit) and burst (U’burst) swimming speeds decreased linearly with increasing body length. There existed a quantitative relationship between Uburst and Ucrit, which could facilitate the fishway hydraulic design. (2) This study analyzed the effects of water velocity changes on fish swimming behaviors and proposed a classification method for four fish swimming behaviors—swimming freely, staying, dashing at a long distance, and dashing at a short distance—of tested fish during the process of adapting to water velocity changes interspersed with one another. The entire swimming process under the incremental water velocity was divided into four stages. (3) This study suggests that the maximum water velocity of the mainstream in a fishway using grass carp as the major passage fish should not exceed 52–60% Uburst at stage 1. For the high-water velocity areas of a fishway, such as vertical slots and orifices, the optimal water velocity should not be higher than 76–79% Uburst at stage 2 and should absolutely not exceed 90–96% Uburst at stage 3.
Optimization Difficulty Indicator and Testing Framework for Water Distribution Network Complexity
Authors: Jung Donghwi , Lee Seungyub , Hwang Hwee
Published: October 2019

In the last three decades, benchmark water distribution networks (WDNs) have provided a common testbed for new optimization algorithms and design approaches. However, deriving generalized and reliable conclusions from such benchmark WDNs is difficult because their optimization difficulty levels (ODLs) are either too low or too high (i.e., biased). Final solutions do not consistently converge to a global optimum for a WDN problem with a high ODL. In addition, little effort has been given to quantifying and comparing the ODLs of WDNs with different characteristics and conditions. In this study, an ODL indicator was developed for WDNs: the coefficient of variation of the final solution fitness values. An ODL quantification framework was also developed with two phases: (1) generating network layouts with various topological characteristics, and (2) quantifying the statistics of the final solution quality and ODL by using a global parallel genetic algorithm. The proposed indicator and framework were applied to the design of a dense-grid B-city network and large C network, and the results demonstrated their applicability to generating a WDN benchmark problem with the target ODL.
Spatial Variability of Soil Moisture in Newly Implemented Agricultural Bench Terraces in the Ethiopian Plateau
Authors: Mesfin Shimbahri , Almeida Oliveira Lucas Allan , Yazew Eyasu , Bresci Elena , Castelli Giulio
Published: October 2019

In arid areas prone to desertification and soil erosion, the effectiveness of radical bench terracing in reducing drought risk is dependent on its correct implementation. However, the relationship between proper terracing implementation and the landscape capacity of holding soil moisture is still not understood. Moreover, spatial patterns of Soil Water Content (SWC) within the same terraced hillslope are weakly studied. The present paper analyses SWC variations in four newly implemented terraced sites in Tigray Region, Ethiopia. In all sites, terraced areas show SWC significantly higher than non-terraced ones, with the lower part of the terraced hillslope more humid than the others. A Multiple Linear Regression (MLR) analysis highlighted significant dependency of SWC from the date of analysis, the position in the terraced slope, and its significant positive correlation with the percent of Water Stable Aggregates (WSA) analyzed at the study sites. Since high soil disturbance induces low soil aggregates stability, this result shows how low soil disturbance can significantly increase SWC of radical terraces. Overall, the results of the present paper testify the good performances of bench terraces in Northern Ethiopia in terms of soil water conservation, and can represent a benchmark study informing future terracing implementation in some arid and semi-arid agricultural areas of the world.
RESEARCH OF STRENGTH OF CONTACT OF THE PLASTIC PIPE ANDCONCRETE WHEN CALCULATING PLASTIC PIPE CONCRETE STRUCTURES
Authors: Долженко А. , Dolzhenko Aleksandr , Наумов А. , Naumov A. , Шевченко А. , Shevchenko Andrey , Бодяков С. , Bodyakov S. , Гвасалия Х. , Gvasaliya H.
Published: October 2019

This article presents numerical studies of the stress-strain state of centrally compressed short plastic-tube-concrete (PTC) cylindrical cores, having experimentally obtained and analyzed the influence of the tangential friction forces at the boundary of the concrete core and plastic shell layers on the stress-strain state of the PTC core under the assumption of elastic work of the core materials and shell. The need for these studies is associated with a lack of theoretical and numerical studies of the influence of tangential friction forces on the stress-strain state of this type of structural elements, including the classical solution with a steel shell. In this regard, mathematical modeling and the creation of engineering methods for calculating the PTC based on the study of the actual joint work of the concrete core and the cylindrical plastic shell has significant scientific potential. The performed calculations demonstrated the relevance with engineering accuracy of using the mathematical model of a short PTC rack for engineering calculations and structural analysis of the structure. It has been established that the use of an analytical model allows us to study the effect of variations in the physical and mechanical characteristics of the materials of the core and shell of the PTC on the parameters of the stress-strain state of the structure and to rationally design the PTC elements in the construction of civil and industrial buildings with reference to the widely used materials market.
THE ALGORITHM OF ANALYSIS OF ENERGY EFFICIENCY OF HEAT SUPPLY SOURCE
Authors: Буланин В. , Bulanin V.
Published: October 2019

The main energy-consuming element of the heat supply system of cities and settlements is a source of heat energy. In connection with the need to minimize the cost of fuel and electricity for heat supply, the article presents an analysis of the energy balance of the steam turbine installation, on the basis of which new analytical expressions are developed that comprehensively characterize the efficiency of the power plant. In 2000 еру RD 153-34.1-09.163-00 "Model program of energy audits of thermal power plants and district boiler houses of joint-stock companies of power and electrification of Russia" was enacted. Some aspects of the analysis of the energy balance of the steam turbine installation using the relative increase in heat consumption for condensation power generation are considered. An analytical assessment of the impact of energy costs on the boiler unit's own needs on the energy balance of the thermal power plant is made.
Formation of design competences in students in the course of development of a subject matter of "Basics of project activities"
Authors: Vorontsova Anna V.
Published: October 2019

The article is devoted to the description of the pedagogic potentials of the discipline Basics of project activities. The discipline is the first component of the general system of preparing university students for project activities. The discipline allows informing students about the theoretical basis of design and creates the conditions for the acquisition of the first skills of the project activity. The article describes the structure and content of the discipline, technology and methods of its implementation. The author presents the results of a survey of students on the basis of the development of the discipline. The students appreciate the content, technology, teaching skills of the lecturer and pedagogues, leading practical classes. The author presents a vision of the development of discipline teaching methods.
Comprehensive content of formative evaluation
Authors: Chetvertnykh Tat'yana V.
Published: October 2019

The article deals with the issue of formative evaluation, its comprehensive orientation and place in the structure of the content of education. The author draws attention to the need for restructuring the system of educational content in accordance with the changes of the Standard: the requirements for personal and comprehensive results of education, a system-activity approach. The article identifies some deficiencies in the content of education. The author formulates conclusions on the content of the concepts "metasubject" and "comprehensive component of the content of education" based on the analysis of modern concepts of educational content. In the course of a preliminary content analysis of modern scientists' research on formative evaluation, as well as summarising the methods of applying formative evaluation in the learning process, the author identifies the essential characteristics of formative evaluation and proves that they are comparable with metacompetences and they are of metadisciplinary orientation. The author substantiates the idea that formative evaluation is a component of educational content by presenting its didactic model.
Life competency formation in the period of emerging adulthood
Authors: Ivankova Dar'ya L.
Published: October 2019

The article is devoted to the age peculiarities of formation of the life competency in young adults. Life competency is systemic property of an individual, integrating autobiographical knowledge and related strategies for solving developmental problems, as well as the aspirations and assessments arising in the course of their decision-making. It is in the empirical level justified that life competency in the period of emerging adulthood changes in terms of increasing the volume of autobiographical knowledge, development and increment of the repertoire of strategies for solving developmental problems, increasing internal motivation. For the first time the psychological content and genesis of life competency have been studied in the context of making decisions and solving age problems of development of young people in the period of entry into adulthood. The materials' theoretical significance lies in the study of life competency as a factor of personal development of young people; while the practical significance, in testing of the diagnostic tool of the life competency development levelduring adulthood.
Social-psychological aspects of academic motivation of students at the higher levels of continuing education
Authors: Markov Dmitriy O.
Published: October 2019

This article describes a study of academic motivation of students of different groups, as well as the factors of their social-psychological adaptation. As the main hypothesis, it was suggested that between the social-psychological characteristics of students at different levels and the structural elements of their motivation for educational and professional activities there are stable and unique relationships for each group that are non-random in nature. The contingent of subjects consisted of 395 students of Russian universities, studying in humanitarian specialties on the levels of undergraduate, graduate and postgraduate studies. The questionnaire were used in this study to identify features of the academic motivation, as well as methods to determine the social-psychological parameters. The results of the study showed the presence of stable relationships between the social-psychological characteristics of students and the structural components of their academic motivation.
Principles of systematisation of customer's psychological issues in reflexive psychological advice
Authors: Sizikova Tat'yana E. , Durachenko Oksana A.
Published: October 2019

The post-non-classical paradigm allows exploring the client's psychological problems in a new way. The article reveals two basic principles underlying the development of a typology of client problems in reflexive psychological counselling. The psychological problem is a complex formation that is poorly structured in a formal-logical framework. In this regard, a holistic approach is the most adequate. Holistic consideration of the problem is based on two basic principles. The principle of dynamic equilibrium allows distinguishing three states of a psychological problem and the degree of its extremes in relation to each other. The "nesting doll" principle allows analysing the interrelatedness of various psychological problems among themselves. Based on this principle, there are three main and two additional levels of development of problems. Transition of one problem from one level to another fills it with new content and gives new meaning.
Respon Tanaman Kedelai (Glycine max (L.) Merril) terhadap Kombinasi Dosis PGPR (Plant Growth Promoting Rhizobacteria) dan Pupuk Phonska
Authors: Salman Syafrullah
Published: October 2019

This research aims to find out effect of combination dosage of PGPR (Plant Growth Promoting Rhizobacteria) and phonska fertilizer toward the growth and the yield of soybean. This experiment was carried out in the field using a combination randomized block design (RBD) with five repeating.The treatments gave were 100% PGPR fertilizer (8 grams / liter) (A), 100% PGPR fertilizer (8 grams / liter) + 50% phonska fertilizer (0.78 grams) (B), 50% PGPR fertilizer (4 grams / liter) + 100% phonska fertilizer (1.56 gram) (C), 50% PGPR fertilizer (4 gram / liter) + 50% phonska fertilizer (0.78 gram) (D) and 100% phonska fertilizer (1, 56 grams) (E).The results showed that the treatment of 50% PGPR fertilizer (4 grams / liter) + phonska fertilizer 100% (1.56 grams) (C) gave a significant effect on the variable root length and leaf area index (LAI).The treatment of 100% phonska fertilizer (1.56 grams) (E) gave a significant effect on the variable seed weight per plot.
Predictive Analysis based Efficient Routing of Smart Garbage Bins for Effective Waste Management
Authors:   Department of Computer Science and Engineering,KCG College of Technology, Chennai 600097, India., Johnson* Mabel , R Dhanalakshmi ,   Department of Computer Science and Engineering, KCG College of Technology, Chennai 600097, India
Published: October 2019

The crux of an effective waste management system is a well-organized routing algorithm that aids to collect the garbage from the bins efficiently and thereby eliminate the overflow of the garbage bins. To automate the garbage collection, the bins use a smart integrated sensing system. Three sensors (ultrasonic, load and gas sensors) are equipped in the proposed garbage bin to sense the level, weight and Carbon-di-oxide (CO2) concentration of the garbage in the bin. A dedicated webpage is assigned to monitor the collected garbage bin sensor data continuously. If the bin reaches the maximum waste level or weight or CO2 level (threshold) it will be marked as “Ready to be picked up”. Scheduling the route(s) and allocating pickup vehicle(s) to collect the filled bins is a significant concern for the efficiency of any waste management system. This scheduling problem boils down to a capacitated arc routing problem (CARP).Considering multiple trips for the available vehicles, capacity of the vehicle, capacity of the bins to be collected, etc., as factors a heuristic algorithm for an efficient routing is proposed in this paper. The primary aimof the proposed heuristic routing algorithm is to reduce the total usage cost of vehicles by minimizing total traversed distance. Predictive analysis algorithms will aid the pickup trucks to be used to the fullest capacity even though there are only few bins to collect so that better efficiency is achieved. In this paper, simple linear regression and multiple linear regression algorithms are applied to suggest the bins (that will be filled in near future) to be added to the route that will help achieve maximum usage of truck capacity. The waste management web application allows the admin to add these bins to the route and authorize the same for the drivers.
Mass Transfer Enhancement in GLS Fluidized Beds using Nanomaterials
Authors:   Department of Chemical Engineering, NIT, Raipur, India., Pendse Vaishali , Mazumdar* Bidyut ,   Department of Chemical Engineering, NIT, Raipur, India., Kumar H. ,   Department of Chemical Engineering, RIT, Raipur, India.
Published: October 2019

Nanomaterial has unique physical property which made it important for many applications and that is why the use of nanomaterials rapidly increasing in the field of science and engineering.1. This work focuses on mass transfer of solids into liquid in three phase fluidized beds in presence of nanomaterial. This include the study of effect of gas velocity, time and different concentration of nanomaterials on mass transfer coefficient in stagnant liquid column in three phase fluidized bed system. To measure coefficient of the mass transfer, known quantity of solid pellets ie benzoic acid and known amount of nanomaterial fraction ie Arachitol nano were charged in the test column of three phase fluidized bed system. At the beginning of each run, test section was partially filled with water which prevent breakage of particles. The experiments were conducted by sequentially varying gas velocity for different volumes of nanomaterial and measuring the rate of mass transfer by collecting samples directly from the outlet ports at the top subsequently analysed by volumetric titration method. The results show enhancement in mass transfer coefficient by addition of nanomaterials. Arachitol nano has been taken in different volumes ie 3ml, 7ml, 10ml and 20ml in (GLS) gas ,liquid and solid fluidized bed with air, water and benzoic acid pellets as three phases respectively in the system. The presence of nanomaterial increases the solid liquid mass transfer coefficient value with increasing fraction of nanomaterial, increasing gas velocity and increasing time although experimental run has been taken only for one hour.
Feasibility of Recycled Concrete in Pavements with Demolished Building Waste in UAE
Authors:   Student, Department of civil Engineering, Amity University Dubai, UAE, Sabhnan* Priyanka Sunil , Mohanan Vidya P ,   Lecturer, Department of civil Engineering, Amity University Dubai, UAE
Published: October 2019

The growing population has increased the demand for residential and commercial buildings. As a result of demolition of these buildings, lot of construction waste is generated. Most of these waste are non-biodegradable. When put into landfills, these waste pollute the land and harm the environment. Therefore, need of recycling these materials and using them is necessary. Concrete aggregates from demolished buildings can be reused to make concrete. However, its strength is immensely affected due to cement paste and mortar attached to it. Experimental research was carried out to determine how strengths of concrete made of natural aggregate, rejected concrete batch aggregate, aggregate from 8 years and 16 years old demolished buildings vary and also the feasibility of each. Different ratios of each type of recycled aggregates were taken along with the natural aggregates to determine how strength varies with change in ratio.
Differentiating Trauma from Normal Human Emotion using Recurrent Neural Network
Authors:   Ph.D Research Scholar, Dept. of Electronics and Instrumentation, Annamalai University, Chidambaram, India, Sofia* R. , Sivakumar D. ,   Professor, Dept. of Electronics and Instrumentation, Annamalai University, Chidambaram, India
Published: October 2019

In this paper Trauma identification has been done by using the Recurrent Neural Network, which will be greatly helpful in understanding the human normal emotional condition (happy, anger, sad, neutral, disgust, fear), as well as the network will efficiently differentiate the Traumatic condition of the person from the normal condition.
Butterfly-PSO Based Energy Efficient Data Analysis of Wireless IoT Devices
Authors:   Research Scholar Dept. of Computer Science & Engineering RNTU Raisen, India, Khara* Mr. Satvik , Saxena Prof. Amitabh ,   Pro Vice Chancellor RNTU Raisen, India, KumarSinha Prof. Dr. Sitesh ,   Dept. of Computer Science & Engineering RNTU Raisen, India, Gupta Dean Dr.SanjeevKumar ,   Engineering RNTU Raisen, India
Published: October 2019

Paper collecting data from various sources for research observation, security, etc. are depend on IOT networks. As IOT device are remotely which transform information from nearby area and lifespan of this network rely on energy uses for communication. So this paper proposed a neural network and genetic algorithm combination for increasing the life span of the network. Error Back Propagation neural network was trained to identify best set of nodes for the cluster center selection. This machine learning based data selection increase the cluster selection accuracy of the BFPSO (Butterfly Particle Swarm Optimization). As combination get reduce by neural network data analysis so less number of population need to be developed for BFPSO algorithm which ultimately increase the accuracy of device selection. Various set of region size and number of nodes were developed to evaluate proposed model. Comparison of proposed model NN-BFPSO-CHS (Neural Network Butterfly Particle Swarm Optimization based Cluster Head Selection) was done with previous existing methods on different evaluation parameters and it was obtained that proposed model has improved all set of parameters.
Image Restoration Model using Total Variance, Bilateral and Wavelet Denoising Filter
Authors:   Faculty, Department of Computer science. CSA, REVA University, Bengaluru, India., Jailani N Mohamed Abdul Kader , Thirunavukkarasu Dr. V. ,   Faculty Department of computer science. CSA, REVA University, Bengaluru, India.
Published: October 2019

iNoise in images are most common due to various degradation. Noises in images are random variations in images due to lighting conditions, camera electronics, surface reflectance, lens, atmospheric conditions and motions (Either camera is moving or object is moving). Image Restoration is a process which restores a degraded image into its original image which has been degraded by some degradation model which degraded the image. Images are degraded due to various reasons. The first and foremost reason for image degradation is the fault in the imaging devices during the image acquisition process. The noise is generated in the imaging devices and is propagated to the image. The second source of degradation in image is the noise added during the image transmission. This type of image degradation is most common. The third source of image degradation is due to the motion blur and atmospheric turbulence. This paper analyzes various image noise models and restoration techniques. Particularly in analyses three kind of filters namely total variance filter, bilateral filter and wavelet image denoising. The image restoration is measured using the PSNR and SSI of original and degraded images
Real Time Minimum Energy Tracking Techniquies for Digital Load Circuit
Authors:   Assistant Professor ,Electronics & Communication ENGG, Dr Ambedkar Institute of Technology Bengaluru, Karnataka, India, N* Manjula , Yellampalli Dr . Siva S ,   Professor of practice,School of engineering and applied sciences, SRM university, Amaravati , India
Published: October 2019

Minimization of energy consumption is an important constraint in portable electronic devices such as smart phones or tablet PCs, laptops . With reliable energy measurement and estimation methods and tools, it is possible to accurate prediction of minimum energy consumption at different levels i.e., from circuit to architecture, architecture to system software and system software to application. Energy efficient design requires reducing energy dissipation in all stages of the design process without compromising the system performance and the quality of services..
Using Heart Rate to Predict Students’ Academic Performance
Authors:   School of Computing & Information Technology, REVA University, Bengaluru, India., Wong* Mu Lin , Senthil S. ,   School of Computer Science and Applications, REVA University, Bengaluru, India., Robert L. ,   Computer Science Department, Government Arts College, Coimbatore, India.
Published: October 2019

Timeliness was a missing factor in many studies on Academic Performance Prediction to identify at-risk students. This study embarked on a search to evaluate the feasibility of predicting students’ performance based on heart rate data collected during classes. This dimension of data was collected in the first four weeks after semester commencement to validate accurate prediction that will enable educationists to introduce remedial intervention to at-risk students. Another aim of this study is to determine the best threshold values for the different types of heart rate fluctuations that can be used in predicting academic achievements. The threshold values were tested further to verify whether the prediction model for individual course or combined courses was more accurate. Results revealed that heart rate data alone can achieve a maximum prediction accuracy of 88% and recall of 100%. Threshold values calculated in derived heart rate fluctuation types produces the best results. Prediction models for individual courses outperform the model using average threshold values of all courses.
Dynamic Characteristics of Twisted Composite Panels
Authors:   Professor of Mechanical Engineering at Kongu Engineering College, Tamilnadu, India., Hariharan* Dr.V. , Rajeshkumar Dr.G. ,   Associate Professor of Mechanical Engineering at PSG Institute of Technology and Applied Research, India, Tamilnadu India., Thangavel Dr.P. ,   Associate Professor of Mechanical Engineering at Kongu Engineering ,Tamilnadu, India.
Published: October 2019

Composite materials are being increasingly used in turbo-machinery blades because of their higher specific strength and stiffness, and these can be tailored through the variation of fiber orientation and stacking sequence to obtain an efficient design. Thus the dynamic characteristics of laminated composite twisted cantilever panels are of great importance in engineering applications. Analytical solutions are seldom capable of accurately analyzing these types of problems because of the complex orthographic nature of material and geometry. The finite element method (FEM) is the most commonly used numerical technique. The present research work deals with the review of finite element formulation of dynamic problems applied to orthotropic laminated plates and to carry out a parametric FEM analysis of laminated composite twisted curved panels. The effects of parameters like twist angle, stacking sequence and thickness, lamination angle, and orthotropic ratio on the natural frequencies and mode shapes of twisted cantilevered composite plates are investigated.
Addressing the Trust Factor in Mobile Payments through Enhanced Security Controls
Authors:   Applied Mathematics & Humanities Department, S.V.National Institute of Technology, Surat, India., Bulsara Dr.Hemantkumar P. , Pandya Ms. Esha A. ,   S.R.Luthra Institute of Management, Surat, India.
Published: October 2019

Trust plays a key role in the acceptance of a new payment system and is at the heart of any method of payment. Companies have been using mobile payments for over a decade. Because of the high uncertainty and security issues accompanying mobile payment, developing trust of users is critical to enable their adoption and use. Customers will use mobile payments as long as they have trust in this relatively new mode of payment together with dependence on its services and applications. In this context, recent studies indicate that trust in mobile payment systems (MPS) is not uniform among users despite the fast development of mobile technology and the new modes of payment. The aim of this paper is to provide a number of suggestions to assist developing greater trust in the mobile networks and provide customers with a secure and befitting experience that will influence mobile payment adoption in turn.
Effect of Viscous Dissipation on MHD Williamson Nanofluid Flow in a Porous Medium
Authors:   Department of Mathematics, Sreenidhi Institute of Science and Technology, Hyderabad, India., Manjula* N. , Govardhan K. ,   Department of Mathematics, GITAM University, Hyderabad, India., Rajashekar MN ,   Department of Mathematics, JNTU College of Engineering Jagtial, India.
Published: October 2019

The main objective of this paper is to focus on a numerical study of viscous dissipation effect on the steady state flow of MHD Williamson nanofluid. A mathematical modeled which resembles the physical flow problem has been developed. By using an appropriate transformation, we converted the system of dimensional PDEs (nonlinear) into coupled dimensionless ODEs. The numerical solution of these modeled ordinary differential equations (ODEs) is achieved by utilizing shooting technique together with Adams-Bashforth Moulton method of order four. Finally, the results of discussed for different parameters through graphs and tables.
Low Cost Hardware Architecture of Fast Lifting Wavelet Transform for Image Compression
Authors:   Research Scholar, Jain University, Karnataka, India., Ezhilarasan* K , Jayadevappa D ,   Electronics and Instrumentation Engg. JSS Academy of Technical Education, Karnataka, India.
Published: October 2019

In this work, the researchers have given a low-cost, multiplier-less design with latest DWT (2D lifting technology) for high-speed dual-Z scans. A single dimension parallele row, column processors and five transposing registers are the suggested architecture. Furthermore, a 4N timeline buffer is used to process 2D DWT images with NxN resolution. Flipping architecture is intended to decrease the critical path, replacing multipliers with shifting and adding logic. To reduce transposition and latency buffers, dual Z scanning technology is introduced. The proposed architecture is better for similar performance requirements than the existing hardware architectures. Verilog is defined as the suggested Design Register Transfer Logic (RTL) and is synthesized with Xilinx ISE 14.5. When synthesized with a better hardware efficiency for Xilinx Spartan 6 series field programmable gate array, the suggested architecture works at a frequency of 140.47 MHz.
Steganography in High Intensity Pixel of a Thermal Image using Barcode Encoder Technique
Authors:   Research Scholar, Dept. of ECE, Annamalai University, Tamilnadu, Rathika* Mrs. S. , Gayathri Dr.R. ,   Assistant Professor, Dept. of ECE, Annamalai University, Tamilnadu
Published: October 2019

In this research, the high intensity pixels are the region of interest is selected based on the difference in the intensity level of the colors in an image. The image holding the information is hidden in a cover image which is pattern locked in which a random number is allocated for each of the pixel. The pattern is drawn and the nodes that connect each pixel were selected and marked as the area of interest, which has high intensity as said. These numbers extracted and converted to barcode that are saved as normal image. In this proposed research the information that is hidden in the normal image is fused with the thermal image, which comprises of high intensity colors. The image fusion technique which is proposed in this research is much interesting that ensures more security as it do not reveals any clue about the existence of the information to interpreters. This research, analyzes the Barcode Encoder technique in steganography only on colors with high intensity, and identifies those areas where this technique can be applied, so that the human race could be benefited abundantly.
Ontology-Based Diet Recommendation System
Authors:   School Of Computing Sciences And Engineering, Vit University, Chennai, India, S* Shridevi , K Archana ,   School Of Computing Sciences And Engineering, Vit University, Chennai, India
Published: October 2019

Recommender systems are needed to find food items of one’s interest. We propose a food personalization framework that assists the user with the actual diet selection process. The Ontology-based process, recommend an appropriate diet for the user. The system analyses the user’s queries based on their requirements and recommends diet, based on their diseases and deficiencies. The system is tested for its efficiency in terms of query processing for users nutrient requirements.
Estimation of Compressive Strength of Concrete by testing the Pozzolanic Reactions of Blended Cement Mortars using Bolomey’s Equation
Authors:   Associate Professor, Dept. of Civil Engineering, Vasavi College of Engineering (A), Ibrahimbagh, Hyderabad-500 031-Telangana-India., Sastri* M.V.S.S. , Rao K.Jagannadha ,   Professor, Department .of Civil Engineering, Chaitanya Bharathi Institute of Technology (A), Hyderabad-500075- Telangana- India., Bhikshma V. ,   Professor, Department of Civil Engineering, OU College of Engineering (A), Osmania University, Hyderabad-500 007-Telangana-India.
Published: October 2019

To experimentally investigate the effect of the presence of Supplementary Cementitious Materials (SCMs) in concrete strength gain by using the efficiency factors in Bolomey’s equation to the cement mortar. The quaternary blended cement mortar consists of Fly ash (FA) at 0, 20 and 30%, micro silica (SF) at 0, 5 and 10% and Nano silica (NSF) at 0, 2, 3 and 6% replacement to cement. To study the compressive and flexural strength of mortars a total of 63 mortar mixes, with a cement-sand ratio of 1:2.75 were cast and tested; out of these mixes, 27 were variable w/b ratios based on consistency and remaining 36 were with fixed w/b ratio of 0.485. The mixes using SF and NSF had shown an improved performance while FA at 20% optimum indicated strength on par with the control mix. In triple blended mixes, all the combinations of NSF-SF, NSF-FA and SF-FA improved the performance of mortar. Bolomey’s equation was used to find the Efficiency of SCMs in mortar and concrete mixtures. Concrete mixes with two different cement contents along with a confirmation test using another cement quantity were carried out to identify optimum proportions of quaternary blended mixtures.
Lightweight Security Protocol for Efficient Information Transfer in Sensor Networks
Authors:   Department of MCA, R.V. College of Engineering, Bengaluru, INDIA,, Dharani* Dr. Andhe , B Dr. Manjuprasad ,   Department of Computer Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru, INDIA,
Published: October 2019

Wireless Sensor Networks have become major integral components of various other technologies like- IoT, Big Data, Cloud Computing and many. This impact is also making WSNs to grow more rapidly and its global market size is predicted to grow $944.92 million by 2020, at a CAGR of 12.96%. In-spite of this impact some challenges and application requirements in WSNs is there limiting its performance. In this article a detailed analysis and research has been carried out to address and resolve some of the major issues in the WSNs. This paper mainly aims in identifying and analyzing the major challenges and requirements along with some existing works in WSNs. Based on the identified problems this article presents the solution to increase the performance of WSNs. The main focus is given to energy and security aspects in the WSNs. The proposed protocol provides more strengthening security parameters with a focus on increasing the lifetime of the network in the resource constraint devices. The outcome of this paper is resulted in better results than the existing security and energy mechanism in the field of the wireless sensor networks.