bluuebunny/crossref_metadata_2025 huggingface dataset:
Control of the Sit-To-Stand Transfer of a Biped Robotic Device for Postural Rehabilitation
Authors: Menga Giuseppe , Ghirardi Marco
Published: October 2019

This paper deals with the control of the sit-to-stand transfer of a biped robotic device (either an autonomous biped robot or a haptic assistive exoskeleton for postural rehabilitation). The control has been synthesized, instead of considering the physiology, analyzing the basic laws of dynamics. The transfer of a human from sitting on a chair to an erect posture is an interesting case study, because it treats biped balance in a two-phase dynamic setting, with an external force disturbance (the chair–pelvis contact) affecting the center of pressure under the feet. At the beginning, a body is sitting, with a fixed pelvis moving with the hips going toward the supporting feet and, contemporaneously, releasing the load from the chair with ankles and knee torques. Then, after lift-off, it reaches and maintains an erect posture. The paper objectives are threefold: identifying the major dynamical determinants of the exercise; sythesizing an automatic control for an autonomous device; proposing an innovative approach for the rehabilitation process with an exoskeleton. For this last objective, the paper extends the idea of the authors of a haptic exoskeleton for rehabilitation. It is driven to control the joints by electromiographical signals from the patient. The two spaces, cartesian (world) and joint, where, respectively, the automatic control and the patient operate, are considered and a technique to blend the two actions is proposed. The exoskeleton is programed to perform the exercise autonomously. Then, during the evolution of the phases of rehabilitation, we postulated to seamlessly move the control from one space (purely autonomous) to another (completely driven by the patient), choosing and keeping the postural tasks and joints (heaps, knees, or ankles) on which to apply each one of the two actions without interaction.
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale
Authors: Bohnenkamp David , Behmann Jan , Mahlein Anne-Katrin
Published: October 2019

The application of hyperspectral imaging technology for plant disease detection in the field is still challenging. Existing equipment and analysis algorithms are adapted to highly controlled environmental conditions in the laboratory. However, only real time information from the field scale is able to guide plant protection measures and to optimize the use of resources. At the field scale, many parameters such as the optimal measurement distance, informative feature sets, and suitable algorithms have not been investigated. In this study, the hyperspectral detection and quantification of yellow rust in wheat was evaluated using two measurement platforms: a ground-based vehicle and an unmanned aerial vehicle (UAV). Different disease development stages and disease severities were provided in a plot-based field experiment. Measurements were performed weekly during the vegetation period. Data analysis was performed by three prediction algorithms with a focus on the selection of optimal feature sets. In this context, the across-scale application of optimized feature sets, an approach of information transfer between scales, was also evaluated. Relevant aspects for an on-line disease assessment in the field integrating affordable sensor technology, sensor spatial resolution, compact analysis models, and fast evaluation have been outlined and reflected upon. For the first time, a hyperspectral imaging observation experiment of a plant disease was comparatively performed at two scales, ground canopy and UAV.
Private Transfer Payments, Inequality, and Poverty: From the Perspective of Households
Authors: Fan Zengzeng , Zou Wei
Published: October 2019

Private transfer of wealth is a ubiquitous phenomenon in both urban and rural areas of China. This paper took an inflow private transfer payment as the research object and used the China Household Finance Survey data to analyze the impact of inward private transfer payment (IPTP) on social welfare and family welfare. According to the result of logit regression, we found the following: there is an age at which households are least likely to receive private transfer payments; families with living partners (including married and cohabiting couples) are more likely to receive private transfer payments; the worse the health of householders, the more likely they are to receive private transfer payments; rural households are more likely to have IPTPs than urban households. From the perspective of social welfare, the IPTP has seemingly decreased social inequality, especially in the case of rural areas. However, the counterfactual analysis finds that IPTP increases inequality. Analysis from three aspects of income, consumption, and family poverty level finds that IPTP not only subsidizes the family income directly but also promotes increases in family income indirectly. It also stimulates family consumption expenditure, with an increment of approximately 5000 yuan. Although it increased household income, as well as consumption expenditure, IPTP did not have a significant impact on the poverty level of Chinese households. On the whole, the existence of IPTP does not improve social welfare but improves family welfare. At the same time, IPTP has no significant effect on the reduction of family poverty.
Integrated Transport Planning: From Supply- to Demand-Oriented Planning. Considering the Benefits
Authors: Schwedes Oliver , Hoor Maximilian
Published: October 2019

The idea of integrated transport planning is widely accepted in the research community as well as in the field of transport policy. However, the actual implementation is still lagging behind. Acknowledging the gap between concept and reality, the benefits of a demand-oriented approach have to be reconsidered by the various stakeholders in politics, the economy, planning and civil society. In order to address this issue, we created a factual use-case by redefining empirical data (qualitative interviews) from Berlin, which our department collected in 2013 for a research project on e-mobility. The initial objective was to find out what kind of charging infrastructure would be necessary to persuade on-street parkers in densely-populated inner city areas to switch to e-mobility vehicles in the future, basically following the conventional ‚predict and provide‘-approach characteristic of traditional transport planning. In the course of the research, we decided to go against the directive and switched perspective completely in favour of a demand-approach, enquiring into people’s needs, which otherwise would have remained unidentified and invisible. Rather than creating the data to support proposed planning interventions, our method led to a much more sustainable, bottom-up planning strategy in line with the social and ecological benefits of an integrated transport planning approach and revealed the real mobility needs of people living in inner-city areas of Berlin.
Special Issue “IFN-Independent ISG Expression and Its Role in Antiviral Cell-Intrinsic Innate Immunity”
Authors: Thomas Emmanuel , Saito Takeshi
Published: October 2019

Over the last few decades, accumulating evidence has demonstrated that numerous Interferon (IFN) stimulate genes (ISGs) can be directly upregulated following virus infection independent of IFN signaling [...]
High-Throughput MicroRNA Profiles of Permissive Madin-Darby Canine Kidney Cell Line Infected with Influenza B Viruses
Authors: Saengchoowong Suthat , Khongnomnan Kritsada , Poomipak Witthaya , Praianantathavorn Kesmanee , Poovorawan Yong , Zhang Qibo , Payungporn Sunchai
Published: October 2019

Victoria and Yamagata lineages of influenza B viruses are globally circulating in seasonal epidemics. Madin–Darby canine kidney (MDCK) cells are permissive for viral isolation and vaccine manufacture. Nevertheless, the interplay between influenza B viruses and host microRNAs has not been investigated in this cell line. Therefore, the present study aims at high-throughput analysis of canine microRNA profile upon infection of influenza B viruses. Briefly, MDCK cells were infected with Victoria or Yamagata lineage at MOI of 0.01. After being harvested at 6, 12 and 24 h post infection, microRNAs were subjected to high-throughput sequencing based on MiSeq platform (Illumina). The results demonstrated that five microRNAs including cfa-miR-197, cfa-miR-215, cfa-miR361, cfa-miR-1841, and cfa-miR-1842 were overexpressed in both Victoria and Yamagata lineage infections. Interestingly, computational prediction showed that karyopherin alpha 6 (KPNA6) was targeted by cfa-miR-197 and cfa-miR-215. Moreover, the binding sites of both microRNAs were assessed by 3′-UTR reporter assay. The results showed that only cfa-miR-197 could bind to the target sites of KPNA6, leading to suppressing luciferase activity. Additionally, silencing of KPNA6 was confirmed by overexpression of cfa-miR-197. This study provides canine microRNA responses to seasonal influenza B viruses, suggesting that virus-mediated microRNAs might play crucial roles in host gene regulation.
Scour around Piers under Waves: Current Status of Research and Its Future Prospect
Authors: Gazi Ainal Hoque , Afzal Mohammad Saud , Dey Subhasish
Published: October 2019

In this review article, the current status of research on pier scour under waves is presented. This includes a summary of different bridge failure events due to scour, scour mechanism, scour depth predictors under waves, influence of pier shape on scour depth formation, shape of scour hole around piers, and many others. Further, this article describes the scour process, development of scour depth predictors, and the complexity involved in the scour related calculations. Finally, the future scope of research is delineated.
Integrated Solutions for the Water-Energy-Land Nexus: Are Global Models Rising to the Challenge?
Authors: Johnson Nils , Burek Peter , Byers Edward , Falchetta Giacomo , Flörke Martina , Fujimori Shinichiro , Havlik Petr , Hejazi Mohamad , Hunt Julian , Krey Volker , Langan Simon , Nakicenovic Nebojsa , Palazzo Amanda , Popp Alexander , Riahi Keywan , van Dijk Michiel , van Vliet Michelle , van Vuuren Detlef , Wada Yoshihide , Wiberg David , Willaarts Barbara , Zimm Caroline , Parkinson Simon
Published: October 2019

Increasing human demands for water, energy, food and materials, are expected to accentuate resource supply challenges over the coming decades. Experience suggests that long-term strategies for a single sector could yield both trade-offs and synergies for other sectors. Thus, long-term transition pathways for linked resource systems should be informed using nexus approaches. Global integrated assessment models can represent the synergies and trade-offs inherent in the exploitation of water, energy and land (WEL) resources, including the impacts of international trade and climate policies. In this study, we review the current state-of-the-science in global integrated assessment modeling with an emphasis on how models have incorporated integrated WEL solutions. A large-scale assessment of the relevant literature was performed using online databases and structured keyword search queries. The results point to the following main opportunities for future research and model development: (1) improving the temporal and spatial resolution of economic models for the energy and water sectors; (2) balancing energy and land requirements across sectors; (3) integrated representation of the role of distribution infrastructure in alleviating resource challenges; (4) modeling of solution impacts on downstream environmental quality; (5) improved representation of the implementation challenges stemming from regional financial and institutional capacity; (6) enabling dynamic multi-sectoral vulnerability and adaptation needs assessment; and (7) the development of fully-coupled assessment frameworks based on consistent, scalable, and regionally-transferable platforms. Improved database management and computational power are needed to address many of these modeling challenges at a global-scale.
The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
Authors: Andrew Ross G. , Burns Robert C. , Allen Mary E.
Published: October 2019

Understanding perceptions of water quality held by residents is critical to address gaps in public awareness and knowledge and may provide insight into what defines communities that are more/less resilient to changing water conditions locally. We sought to identify spatial patterns of water quality perceptions gathered in a survey of Southern West Virginia (WV) residents during spring/summer 2018. Using over 500 survey responses across 15 counties, we calculated spatial autocorrelation metrics and modeled the relationships between overall water quality perceptions and county-level socioeconomic endpoints, such as poverty rate, per capita income, and education level. We identified significant differences across counties labeled as socioeconomically “transitional”, “at-risk”, and “distressed”, as it pertained to responses for water quality perceptions, education level, and income level. We also found significant positive relationships between overall water quality perceptions, elevation, and income level. We calculated an empirical semivariogram and fit an exponential model to explain a significant autocorrelation pattern within a range of 104.2 km. Using that semivariance function, we created a kriging interpolation surface across the study area to identify significant clusters of water quality perceptions. This work highlights the influence of location on water quality perceptions within Southern West Virginia, but the analytical framework should be considered in further research, when samples are spread across large areas with varying socioeconomics.
Spatio-Temporal Variations in Farmland Water Conditions in the Yanhe River Basin
Authors: Wang Zhanyun , Song Wei , Yuan Xuefeng , Yin Lichang
Published: October 2019

To gain a deeper understanding of the influence of climate change on water cycling and water resources, it is important to investigate the changes in farmland moisture profits and losses and the influencing factors. In view of this, using the Yanhe River Basin as an example, we adopted the Penman–Monteith model to calculate the amounts of moisture profit and loss in the basin and analyzed the spatio-temporal variations of moisture profit and loss from 2003 to 2015. Based on our results, the Yanhe River Basin was characterized by water shortage from 2003 to 2015. From 2003 to 2007, the water deficit of the basin was obvious, while from 2007 to 2011, the water shortage was moderate. From 2011 to 2015, the area experienced an aggravated water deficit. Overall, from 2003 to 2015, the area proportions of the regions with normal and mild water deficits decreased by 32.65% and 18.98%, respectively, while the area proportion of the regions with acute water deficits increased by 32.97%. In terms of the spatial distribution of moisture profits and losses in the Yanhe River Basin, the water deficit was gradually mitigated from northwest to southeast. Precipitation and near-surface air specific humidity were the main factors influencing the water conditions in the river basin.
RESEARCH OF APARTMENTS’ AIR REGIME IN THE PROCESS OF OPERATION AND RECONSTRUCTION
Authors: Тирон О. , Tiron O. , Попов Е. , Popov E.
Published: October 2019

Insufficient air exchange of apartments in gasified apartment residential buildings, as well as an apartment’s air balance when using mechanical ventilation can cause the formation and accumulation of carbon monoxide. This work is aimed at studying the air exchange of apartments when installing kitchen hoods in apartment buildings, as well as insufficient air permeability of windows in PVC (Polyvinyl chloride) bindings during the cold season. Analytical calculations and a full-scale experiment are carried out in two apartments with and without kitchen hood. The calculated air exchanges, actual air exchanges are determined: in normal operation by tenants and in conditionally maximum operating mode with open windows. The comparison of the results of analytical calculations with experimental data shows insufficient air permeability of PVC windows to maintain the necessary air exchange of natural ventilation. It becomes obvious that there are two ways to increase air exchange: regulated - opening vents and non-normative - installation of mechanical hoods. At the same time, the use of mechanical hoods can disrupt the operation of the natural ventilation system.
Website Media Pembelajaran Matematika Berbasis Moodle Platform
Authors: Marsa Arif Rizki , Yunita Rini
Published: October 2019

Tujuan penelitian ini adalah mengembangkan media pembelajaran berbasis moodle untuk perkuliahan Matematika. Penelitian dilakukan dengan model pendidikan (Educational Research and Development). Jenis penelitian R&D, penelitian terfokus pada pengembangan platform moodle melalui fase define, design, dan develop, Dan  dilakukan penyempurnaan dengan revalidasi produk dan diseminasi. Pengembangan desain platform moodle dilakukan secara offline dan online menggunakan software moodle versi 3.3. Pengembangan secara offline dilakukan untuk mengatur story board, page navigation, profile setting, administration settings, dan management course setting. Pengembangan secara online dilakukan agar pembelajaran matematika dapat diakses di manapun sehingga mahasiswa dapat belajar lebih mudah dan fleksibel. Hasil pengembangan divalidasikan kepada pakar pembelajaran dan diujicobakan kepada mahasiswa. Pengumpulan data respon dilakukan lewat angket dan tes dan hasilnya dianalisis dengan statistik deskriptif. Hasil validasi pakar untuk silabus, RPS, dan kelayakan ketiganya masuk kategori sangat baik/layak sehingga dapat dinyatakan layak untuk digunakan untuk mendukung proses pembelajaran. mahasiswa juga memberikan respon yang positif terhadap media yang dikembangkan.
Diffusion characteristics of dyeing in Polyester fiber garments referred to their mixtures with cotton and composition
Authors: Jiménez-Pacheco Hugo , Palma Figueroa Gregorio Urbano , Villegas Aragon Javier Alonso , Camiña Pacheco María del Carmen , Linares Flores Castro Antonio Erick , Miranda Ramos Lilia Mary
Published: October 2019

Currently, textile dyeing companies determine their market according to the raw materials processed, which are based on 100% cotton fibers, these fibers are directed to an exclusive market and therefore these companies establish criteria of high quality standards in each of its processes, dyeing being one of the most demanding due to its fastness parameters and color specifications, these characteristics establish the competitiveness of expanding a product portfolio with the incursion of 100% fiber-based clothing polyester and with cotton blends.Some studies suggest the implementation of the dyeing process of these fibers, allowing the organization to have new production alternatives, dyeing processes for polyester and cotton are carried out with heat treatment between 60 °C and 130 °C respectively, with the use of dispersed and chemical dyes; as in the dyeing of Polyester-Cotton that are made in bathrooms established in each stage. Color and solidity tests are performed according to quality parameters, with light and wash fastness controls. Within these dyeing conditions it is essential to determine the thermal gradients to be applied, whose variable must be controlled to optimize the dyeing of polyester fibers and mixtures.The present study evaluates the pre-treatments and the temperature gradient behavior stage in the dyeing process of polyester fibers, taking into account the dyeing curve, in which only the temperature gradient varies. Mathis-ALT-B equipment is used for the dyeing process, for thermal gradient conditions of 135 °C with gradients of 0.3-4.0 °C/min, rotation speed 40-70 RPM, and as colorants were used Novacron, Terail and Liandisperse for cotton and polyester fibers respectively. The results show that the use of dispersants and anti-breakage agents work to prevent failures and improve the corresponding colors, but a high gradient increases the migration of the dye and breaks in the fibers, but in low gradients (2 ° C/min ) The quality of diffusion and dyeing is better and, therefore, prevents reprocessing in the dyeing stage.
La pragmática de la comunicación antes del lenguaje
Authors: Rodríguez Fernando G.
Published: October 2019

El lenguaje infantil suele ser investigado con prescindencia de otras variantes semiósicas que sin embargo los estudios sobre desarrollo han revelado decisivas en el proceso de adquisición lingüística. El presente trabajo refleja una exploración de las relaciones multimodales en los intercambios comunicativos niño-adulto durante un período en que la gestualidad y la expresión oral experimentan una particularmente estrecha colaboración. La investigación incluyó la elaboración de un sistema de categorías de observación atento al proceso de desarrollo de habilidades semiósicas en el niño pequeño y reveló la evolución de formas y usos del gesto, de la modalidad oral, de las composiciones entre signos uni y bimodales y de las funciones comunicativas durante el período precedente a las primeras producciones con morfosintaxis (período de dos palabras,19-29 meses). La presente exposición se concentra en la pragmática de la gestualidad y el habla, destacando resultados que respaldan la hipótesis de una estructura cognitiva compartida de signos verbales y gestuales, por ende una opción no modular-innata del lenguaje.
Using 3Ds Max Application Create An Eyeball
Authors:   International Education School, China Medical University, Shenyang, China P.R., GAO JIAN
Published: October 2019

This paper represents an experiment report of VR (Virtual Reality) and AR (Augmented Reality) for medical learners. Four main purposes of this experiment through 3Ds Max application create an eyeball. The environment of experiment also be discussed. As well as the studies of organ in medical points of view. Two parts, two objects and three modifications as core activities for representing anatomical studies. More details about creation in experiment essential features demonstrated consequently. Thirty steps in experiment, descriptions show with screenshots. Output of this experiments would be able to understand medical learner’s anatomical perspective studies, as well as medical educators introduce organ and medical knowledge to no-medical learners. Combining VR and AR to medical learning activities, as well as clinical presentations. This paper no only practices the application 3Ds Max create organ models, but also medical learning perspective discussion.
Improving the Personnel Motivation System in Service Activities Organizations
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,, Z.V.* Smirnova , O. I. Vaganova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,, S. D Sirotyk ,   Federal State Budget Educational Institution of Higher Education «Togliatti State University», D.G. Sidorova ,   Siberian Federal University, Ju. S. Klyueva ,   Institute of Food Technology and Design - a branch of the Nizhny Novgorod State Medical University of Engineering and Economics University, E.N. Chelnokova ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, M. V. Mukhina ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation,
Published: October 2019

The problem of improving the system of motivation of personnel of service organizations is currently of particular relevance. In the current economic situation, issues of personnel motivation management are becoming especially relevant and require deep consideration. The article discloses the success of managing any socio-economic object, which depends on how effective the motivation system for people working within this object is. The decisive causative factor in the effectiveness of people's activities is their motivation. The article aims to develop recommendations for improving the system of motivation of personnel of service activities organizations. The analysis of the personnel management system, based on data held in organizations of service activities. The result of the practical application of proposals and recommendations in selected areas of improving the system of motivation of the personnel of the organization is determined.
Exploration of Attacks Originate by Clone Node in Wireless Sensor Network
Authors:   Ph.D. Research Scholar, CSE, IKGPTU, Kapurthala, India., Lalar* Sachin , Bhushan Shashi ,   Professor, I.T., CGC, Landran, Punjab, India., A.P. Surender ,   Computer Appl GTB, Bhawanigarh, India.
Published: October 2019

Wireless sensor networks are used today in numerous applications. Due to the limited battery, storage and processing power, the sensor node absorbs the environment and sends data to the base station. Wireless sensor networks are vulnerable to various attacks due to their limited functionality. Clone node is the attack where adversary physically grabs the node from its location & generates various nodes by using secret information and reflects them on the network. Due to node cloning, various attacks can easily occur in WSN. In this paper, we describe the layer by layer attacks generated by the clone node in WSN. We compare the network scenarios in Network Simulator 2 in which first scenario are normal network & second scenario has the clone nodes which produce the attack inside network. We estimate the impact of clone node in form of packet loss and also compare packet loss rate in normal network and clone node containing network in 8 different scenarios.
Implementation of IRIS Image Segmentation using Distance Matrix
Authors:   Department of Computer Science, VISTAS, Chennai, India., Perumal* S. , Raju Lalitha ,   Department of Computer Science, VISTAS, Chennai, India., Balamurugan R. ,   Department of Computer Science, VISTAS, Chennai, India.
Published: October 2019

The human reorganization process plays a major part in giving a safer way of information sharing. The security plays a vital role in accessing applications with lot of confidentiality. The image processing can be a solvent of solving various security issues in iris detection technique. The IRIS images are collected from various persons for testing process and compared with various classification algorithms. Images are cleaned with implementing the preprocessing technique for noise removal. The clarity of the image are also improved with implementing image enhancement and resizing process. Basic image processing algorithmic rules are applied for identifying the necessary features for enhanced features. Some of filtering techniques such as Gabor filter, discrete wavelet transformation filter, Gaussian filter, etc, are used for main feature enhancement and filtering technique. These filtering technique used in this research work are helpful in calculating the distance between pupil and iris of an eye. The implementation process is tested with three different dissimilar iris dataset and compared with different classification algorithms. The research work helps in giving a simple solution in giving security to systems as well as giving a solution to identify the eye disease effectively.
Features Selection Based ABC-SVM and PSO-SVM in Classification Problem
Authors:   Master of Computer Science - Postgraduate Programs STMIK Nusa Mandiri, Indonesia, Wahyudi Mochamad , Sfenrianto* Sfenrianto ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Dharmawan Weiskhy Steven ,   Master of Computer Science - Postgraduate Programs STMIK Nusa Mandiri, Indonesia,
Published: October 2019

Feature selection can be used to improve the performance of classification algorithms. This study aims to use algorithms for feature selection in classification problems. The method in feature selection use to the Artificial Bee Colony (ABC) algorithm and Particle Swarm Optimization (PSO) based on Support Vector Machine (SVM). The ABC-SVM algorithm functions as a method of feature selection to choose the optimal subset according to the objectives set to provide the results of the classification. Then, the PSO-SVM as a comparison method in other feature selection. The results of the classification conducted by PSO-SVM with the vowel dataset is good classification (AUC 0.873), when compared with the ABC-SVM with the classification result is superior (AUC 0.996). The results of the Precision Recall and F-Measure calculations on the PSO-VSM algorithm have good classification results for sonar and wavefrom data sets. Meanwhile, the results of tests conducted by ABC-SVM get superior value from the classifier quality efficiency in the vowel data set.
Optimization of Input Parameters with Carbide Inserts and HSS Tool on CNC Turning of EN19 Steel
Authors:   studying M.tech in Mechanical Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., Kriyadeesh* A , Rao Dr.P.Srinivas ,   Department of Mechanical Engineering. Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., kumar, C. Labesh ,   Department of Mechanical Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.
Published: October 2019

This paper deals with the experimental investigation and testing on a single point cutting tool with carbide inserts and high speed steel tool. Cutting tool has to be strong enough to withstand the wear resistance. It is to be proved that carbide inserts have better performance than HSS tools on machining operation. Components with higher surface quality, higher material removal rate in less time and lower tool wear is only possible by carbide insert tools. The tool material selected for this experiment are cemented & tungsten carbide inserts along with high speed steel tool on machining medium carbon steel EN19. The complete machining process is performed on cnc lathe machine Hence the intention of this project is to minimize the surface roughness, tool wear, machining time and increasing the material removal rate. Taguchi’s L9 orthogonal array is favor for this investigation work. The result obtained in this project can be further used for optimizing the process parameters there by optimized results helps the operator to improve the quality as well as production rate.
Multi-Objective Hyper-Heuristic Improved Particle Swarm Optimization Based Configuration of Support Vector Machines for Big Data Cyber Security
Authors:   M.Sc.,M.Phil., Ph.D Scholar, Sri Ramakrishna College of Arts and Science,Assistant Professor, KG College of Arts and Science, R* Aswanandini. , N Dr.Muthumani. ,   Ph.D, Professor & Head, Department of Mathematics(CA), Sri Ramakrishna College of Arts and Science
Published: October 2019

The massive increase of information in the big data era has not only created data processing problems, but also the data security issues. These big data cyber security issues can be handled effectively using machine learning algorithms among which the Support Vector Machines (SVM) has better results on big data classification problems. Defining the proper configuration of the SVM requires expert knowledge in selecting the kernel function and other parameters and this can significantly improve its classification results. In this paper, the SVM configuration process is modelled as a multi-objective optimization problem by considering the false positive rate, false negative rate and model complexity parameters. A Hyper-Heuristic Improved Particle Swarm Optimization (HHIPSO) framework is developed to optimize the SVM multi-objective optimization problem by incorporating the hyper-heuristics and improved particle swarm optimization algorithm. The proposed hyper-heuristic framework includes the high-level strategy for controlling the selection of low-level heuristics by search process and the low-level heuristics generate the new SVM configuration solutions using different rules of PSO. The effective selection of the kernel function and the respective parameters of the SVM should result in better values of false positive rate and false negative rate and also reduce the complexity. The evaluation of the proposed HHIPSO is performed on two cyber security problems and the obtained results illustrated that the proposed approach is effective in improving the classification of big data cyber security problems than the other algorithms.
An Novel Framework For Content Based Image Retrieval With Quality Assessment System using Optimal Deep Convolution Neural Network
Authors:   Research Scholar, Department of Computer and Information Science, Annamalai University, Anandababu* P. , Kamarasan M. ,   Assistant professor, Department of Computer and Information Science, Annamalai University
Published: October 2019

Content based image retrieval (CBIR) models become popular for retrieving images connected to the query image (QI) from massive dataset. Feature extraction process in CBIR plays a vital role as it affects the system’s performance. This paper is focused on the design of deep learning (DL) model for feature extraction based CBIR model. The presented model utilizes a ResNet50 with co-occurrence matrix (RCM) model for CBIR. Here, the ResNet50 model is applied for feature extraction of the QI. Then, the extracted features are placed in the feature repository as a feature vector. The RCM model computes the feature vector for every input image and compares it with the features present in the repository. Then, the images with maximum resemblance will be retrieved from the dataset. In addition, the resemblance between the feature vectors is determined by the use of co-occurrence matrix subtraction process. Besides, structural similarity (SSIM) measure is applied for the validation of the similarity among the images. A comprehensive results analysis takes place by the use of Corel 10K dataset. The experimental outcome indicated the superiority of the RCM model with respect to precision, recall and SSIM.
A Novel Technique to Improve the Performance of fog Computing using fog Terminal Nodes
Authors:   Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India., Geethanjali* O. , khan P M D Ali ,   Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India, Reddy B Ramakantha ,   Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India.
Published: October 2019

Cloud computing is considered to be technological revolution in the past decade, due to its reliability and flexibility in enabling anything-as-a-service to the end users based on the key principle of utility computing. With the advent of IoT and Real-time data processing continuous usage of cloud services have incremented the dependency levels of Cloud Data Centres which in a while required high processing power as well as it will be hazardous to the environment. Addressing this problem several research studies have identified FoG Computing as a next generation computing platform that enhances the performance of the cloud servers by processing the data at the edge devices. This paper presents a novel fog computing framework that enhances the performance of the data migration reducing the effort on cloud servers.
Implementation of RC Oscillator with High-Q Frequency Selection using CCCII.
Authors:   Department of ECE,UCEV, JNTUK Vizianagaram, Naidu* G. Appala , Mounika S. ,   Department of ECE,UCEV, JNTUK, Vizianagaram, Krishna B.T. ,   Professor and Head of the Department of ECE, UCEK, JNTUK, Kakinada
Published: October 2019

This article given a second generation current controlled current conveyor positive (CCCII+), second generation current controlled current conveyor negative (CCCII-), Quadrature oscillator with high-Q frequency choosing network and implementing completely different phase oscillators by employing (CCCII+) positive and (CCCII-) negative, and high band pass filter network, the approach is predicted on the CMOS technology . The root of this concept is, considering a customary voltage mode oscillator which consists of band pass filter with prime quality issue (high-Q) and voltage mode amplifier is transfigure into current mode oscillator by replacing tans-conductance amplifier. Because the loop of the oscillator is has lavish selectivity, the oscillator process less distortion. In addition 3dB bandwidth, oscillating condition, oscillation frequency of the oscillator could linearly, independently and electronically be tuned by adjusting the bias current of the (CCCII±)[1], lastly different simulations have been carried out to verify the linearity between output and input ports, range of frequency operations. These results can justify that the designed circuits are workable.
Machine Learning and Deep Learning
Authors:   Department of Computer Science and Applications, Maharishi Dayanand University, Rohtak, India., Chahal* Ayushi , Gulia Preeti ,   Department of Computer Science and Applications, Maharishi Dayanand University, Rohtak, India.
Published: October 2019

Now-a-days artificial intelligence has become an asset for engineering and experimental studies, just like statistics and calculus. Data science is a growing field for researchers and artificial intelligence, machine learning and deep learning are roots of it. This paper describes the relation between these roots of data science. There is a need of machine learning if any kind of analysis is to be performed. This study describes machine learning from the scratch. It also focuses on Deep Learning. Deep learning can also be known as new trend of machine learning. This paper gives a light on basic architecture of Deep learning. A comparative study of machine learning and deep learning is also given in the paper and allows researcher to have a broad view on these techniques so that they can understand which one will be preferable solution for a particular problem.
Vitality of Steel and Polypropylene Fibers in High Strength Concrete
Authors:   Department of Civil Engineering, Institute of Aeronautical Engineering,, India., KUMAR* P. AKHIL , Prasad J.S.R ,   department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India., Malagavelli Venu ,   department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India,
Published: October 2019

The main aim of this work was to investigate the influence of widely used steel fibers and polypropylene fibers on the concrete. From many studies it has been shown that, addition of fibers to the concrete has influenced the cracking of concrete, due to shrinkage, thermal insulation and bleeding of water. So, in this study we made use of ultra high strength concrete mix of M50, and we made use of both steel as well as polypropylene fibers to enhance the properties of the concrete. In this study total five concrete mixes were made with steel fiber in dosages of 2.5%, 2%, 1.5%, 1% and polypropylene fibers are in dosage 0%, 0.5%, 1%, 1.5% of the weight of concrete mix. The specimens were casted and all the specimens are tested for 7days and 28 days strength. The results have depicted a gradual increase in the strength of the concrete as the fiber content increased.
An Optimized Associative Classifier for Incremental Data Based On Non-Trivial Data Insertion
Authors:   Assistant Professor, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore and Research Scholar- Bharathiar University, R * Ramesh , V Saravanan ,   dean- Computer Studies, Dr. SNS College of Arts and Science, Coimbatore., R Manikandan ,   Research Scholar , Anna University , Chennai, India.
Published: October 2019

Associative classification (AC) is an interesting approach in the domain of data mining which makes use of the association rules for building a classification system, which are easy for interpretation by the end user. The previous work [1] showed excellent performance in a static large data base but there existed a question of same performance when applied in an incremental data. Many of the Associative Classification methods have left the problem of data insertion and optimization unattended that results in serious performance degradation. To resolve this issue, we used new technique C-NTDI for building a classifier when there is an insertion of data that take place in a non-trivial fashion in the initial data that are used for updating the classification rules and thereafter to apply the PPCE technique for the generating of rules and further Proportion of Frequency occurrence count with BAT Algorithm (PFOCBA) is applied for optimizing the rules that are generated. The experiments were conducted on 6 different incremental data sets and we found that the proposed technique outperforms other methods such as ACIM, E-ACIM, Fast Update (FUP), Galois Lattice theory (GLT) and New Fast Update (NFUP) in terms of accuracy and time complexity.
ACO Based Scheduling Method for Soft RTOS with Simulation and Mathematical Proofs
Authors:   Computer Engineering Department, Marwadi University, Rajkot, India., Teraiya* Jay , Shah Apurva ,   Computer Science and Engineering Department, The Maharaja Sayajirao University of Baroda, Baroda, India., Kotecha Ketan ,   The Symbiosis Institute of Technology, Pune, India.
Published: October 2019

The Ant Colony Optimization (ACO) algorithm is a mathematical model enlivened by the system searching conduct of ants. By taking a gander at the qualities of ACO, it is most suitable for scheduling of tasks in soft real-time systems. In this paper, the ACO based scheduling method for the soft real-time operating system (RTOS) has been profound with mathematical and practical proof. In Mathematical proof, three different Propositions and two Theorems have been given, which prove the correctness of the proposed algorithm. Practical experiments also support mathematical proofs. During the investigation, observations are gathered with different periodic task set. Algorithms have been observed regarding Success Ratio (SR) and Effective CPU utilization (ECU). ACO based scheduling algorithm has been compared with the Earliest Deadline First (EDF) algorithm with parameter SR and ECU. The EDF is dynamic scheduling algorithm and it is most suitable in RTOS when task set is preemptable. It is noted that the new algorithm is equally efficient during under loaded conditions when CPU load is less than one. ACO based scheduling algorithm performs superior during the overloaded conditions when CPU load is more than one where as EDF algorithm performance degraded in overload condition. Empirical study has been executed with a hefty Dataset consist of more than 7500 task set, and a set contains different one to nine processes where CPU load is dynamic for each process set and differ from 0.5 to 5. Algorithms have been executed on five-hundred-time unit for each process set to authenticate the accuracy of both algorithms.
World Biodiesel Market and Optimal Scenarios for Biodiesel Production and use in Russia
Authors:   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia., Avarskii* Nabi D. , Taran Vasiliy V. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia., Gasanova Khatimat N. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia., Osipov Andrei N. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia., Silko Elena A. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia., Gumerov Vadim R. ,   Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia.
Published: October 2019

The purpose is to analyze current situation and future developments in the global biodiesel market including Russia. Among the results obtained are the assessment of feedstock, technical standards and production cost of biodiesel and critical analysis of multidiscipline factors influencing global biodiesel market development. For Russia the potentials of biodiesel production and the rates of diesel fuel substitution are estimated. The main vectors of biodiesel market development and state supporting measures are suggested. The conclusion underlines main trends in the world biodiesel market and emphasizes reasonability to concentrate the use of biodiesel in the Russian agricultural sector.
The Adversarial System in Criminal Procedure: Norms and Implementation
Authors:   The North Caucasian branch of the Federal State Budget-Funded Educational Institution of Higher Education “The Russian State University of Justice”, Krasnodar, Russia., Borodinova Tatyana Gennad`evna , Borodinov Vladimir Vladimirovich ,   The North Caucasian branch of the Federal State Budget-Funded Educational Institution of Higher Education “The Russian State University of Justice”, Krasnodar, Russia.
Published: October 2019

The research is devoted to the analysis of the essence and place of the adversarial system in modern criminal procedure regulation. The existing acute debatability regarding the procedural status of the adversarial system in the criminal procedure law of the Russian Federation necessitates the appeal of scholars to this category. The purpose of identifying the true procedural nature of the adversarial system and the boundaries of its implementation is directly related to the determination of the correct place of this procedural category in the modern system of criminal procedure regulation. The analysis of modern scientific views on the procedural status of the adversarial system indicates the presence of diametrical views on the compliance of the adversarial system with the characteristics of an independent industry-wide principle. A controversial opinion about the extension of the principle of adversarial practice to the pre-trial stages of Russian criminal proceedings is noted. According to the authors, the current law enforcement practice confirms the implementation of the "pure" adversarial system only in the judicial stages of the criminal process. Taking into account the provisions of the Constitution of the Russian Federation and the position of the Supreme Court of the Russian Federation, the work provides an argumentation of the authors’ position on the advisability of changing the status and, accordingly, the place of the adversarial system in the structure of the Code of Criminal Procedure of the Russian Federation from the "industry-wide principle" to the "general condition of the trial".