bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Pipeline Integrity Management in a Large Pipelines Network in India
Authors:   University of Petroleum and Energy Studies, Dehradun & Indian Oil Corporation Ltd., Noida, Gupta* S S , Arya Dr.A K ,   Sr. Asst Professor University of Petroleum and Energy Studies, Dehradun, Vijay Dr. P ,   Associate Professor University of Petroleum and Energy Studies, Dehradun
Published: December 2019

Hydrocarbon pipelines are one of the key elements of the energy security system of a country, especially in a large country like India hydrocarbon pipelines are the backbone of the energy distribution system. While the operational reliability of such a system is important to ensure a sustained supply of hydrocarbon energy across the country, the continued structural integrity of the network is vital for public safety. Generally, pipelines are the safest mode of transportation of bulk hydrocarbon energy, but pipeline failure is not uncommon. Recent global databases on pipeline failure indicate that third party damage and corrosion are two major causes of pipeline failure though there are other reasons like poor construction quality; an incorrect operation etc., may also lead to pipeline failure. The extent of damage that a pipeline failure can cause depends on the extent of the release, for example, a small leak may not cause much damage if detected with a short period, while a rupture of the pipeline can release a significant amount of pipeline content and may cause significant damage to property and life. With a higher degree of public awareness and stricter regulatory regime, pipeline operators are having a relook into their integrity management system to prevent any untoward incident. Majority of the pipeline operator now realize that holistic approach taking together as much factor as possible could be a better approach to manage the integrity of the pipeline network especially a large network of pipeline spread across a vast country like India. This realization has led many pipeline operators to implement computer-based pipeline integrity management system. While this is a welcome change but implementation of PIMS across a vast network of pipeline built over a long period, with various technologies and having diverse engineering requirements have come of the challenges that the pipeline operator must overcome. This paper discusses one such case of implementation of the Pipeline Integrity Management System (PIMS) in a large and diverse network pipeline in India and the challenges faced in the course of implementation. Authors feel that the case could be a good learning ground for those operators who are contemplating implementation of PIMS in their respective pipeline network.
ABC Based Neural Network Method for Brain Tumor Identification from MRI and CT Images
Authors:   Research Scholar, Noorul Islam University, Tamil Nadu, India., Jose* Mitha Rachel , Singh J. Amar Pratap ,   Professor and Director (Admin), Noorul Islam University, Tamil Nadu, India.
Published: December 2019

According to the inconsistency and complication of tumors, MRI is a complicated method for categorizing brain tumor. Generally, the classification accuracy is enhanced by the help of pre-processing and feature extraction processes which are essential methods. In this document, we enhanced a brain tumor recognition process through ABC-ANN procedure. The anticipated procedure contains three segments such as Preprocessing, feature extraction and classification. Initially, the median filter and Histogram Equalization methods are used to augment the images. The second and third segments are FFT related attribute extraction and categorized by means of ABC related ANN method simultaneously.
Management Philosophy: Ontological Problems
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Otyutskiy* G.P.
Published: December 2019

Management philosophy is a new branch of philosophical knowledge, which is designed to serve as a philosophical and methodological basis, providing the holistic perception and essential understanding of social management phenomenon. The existing points of view on the subject and object of management philosophy are compared, the ontological aspect of management philosophy is revealed. The place of social management phenomenon in the system of social being is shown, the content of philosophical-methodological problems of management activity is revealed.
Human Capital In The Sustainable Development Of The Regional Economy
Authors:   National Academy of Management, Kyiv, Ukraine, Glushkov* Valery , Ekaterina Dolzhenkova ,   Southwest state University, Kursk, Russian Federation, Voronkova Olga ,   Altai state University, Barnaul, Russia, Perova Anastasia ,   Kuban State University, Krasnodar, Russian Federation, Kuban Nadezda Klimovskikh ,   State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation, Kondrashova Kseniya ,   Financial University under the Government of the Russian Federation, Moscow, Russian Federation
Published: December 2019

Purpose: Consideration of the key directions of social infrastructure development affecting the formation of human capital Design / Methodology / Approach: This study uses the method of analogy and comparison, monographic and statistical methods Findings. The study indicates a strong correlation between the level of human capital formation and the healthcare system. The authors analyze and assess absolute and relative parameters of the main objects of social infrastructure suggesting several recommendations for their improvement Practical implications: The problems discussed in the article indicate an urgent need to improve the health system in rural areas Originality / value: The authors define the concept of social infrastructure, consider various approaches to its definition, and also indicate the main factors that adversely affect the reproduction of human capital
An Enhanced OLSR Protocol to Improve Performance Of UAV in Wireless Mesh Network
Authors:   Department electronics and communication engineering, Shri JJT University, Rajisthan, India., Kaur* Jasleen , Prakash Om ,   department of electronics and communication engineering, MRIET, HYDERABAD, India,
Published: December 2019

Over the past few decades, wireless mesh network is the main area of research in small and large sized network structure. Wireless mesh network is a radio based network scheme that needs minimal structure and organisation. It has the capability to integrate the wired system and can be prolonged at minimum cost without losing the mobile nature. Routing protocols mainly affects the performance of the WMN. Some of the advantages of the WMN are cost effective, easy management, robust and reliable service. It is utilised in numerous application areas such as hospitality and healthcare applications, rescue actions and disaster controlling, broadband connection services at home and institutions. In WMN , some challenges faced are, unsuitable number of alternate routes among the pair of the hops, entire capacity decreased due to interference among the multiple connections, effect on security due to complex networks. In a wireless mesh network, described about the optimized link state routing protocol (OLSR) and works on network parameters. In routing protocol, an immediate routing is required so that the change in topology may lead to flooding of data to desirable hosts in the system. After that, routing, performance is evaluated with encryption method using DES. Data encryption standard (DES) is cryptographic method that is applied to block of information. In this research proposed work, developed a novel improved, optimised link state routing method to enhance the network performance end to delay, delivery rate and recover the loss of data from sender to receiver hop. Experimental analysis is done using various parameters metrices as end delay, packet delivery ratio and throughput. In this research, an improvement in discovery delay of PASER and FER is also increased. The frame error rate computed is based on the level ranges range from 0%, 10% and 20%. Moreover, packet delivery ratio is 70% and throughput is 81%.
Knowledge Management Skills and Its Impact on Job Performance of Employees Working In Selected I.T. Companies in Hyderabad
Authors:   Director, Academic Audit, Mahatma Gandhi University, Nalgonda, Telangana, Ravi Aluvala
Published: December 2019

Job performance of Employees has become an issue since there are broad mismatches between the acquired skills by Employees and the skills required by employers. There is a huge problem of demand-supply mismatch due to lack of Knowledge Management Skills and lack of Knowledge Management skills. Due to shortage of skill set the demand for recruiting the right are unable to fulfill the industry needs. Today Organizations requires well-educated, competent and talented workforce. Job seekers in IT companies have to understand the needs of the industry and gain appropriate knowledge management skills to get the employment. The present study is undertaken to know the Knowledge based factors affecting the Job performance of Employees. A sample of 146 respondents was collected from 25 IT recruiters in Hyderabad. Factor analysis was done, to know the influence of major factors on Job performance of Employees. It was found that Theoretical knowledge, Communication skills, Interpersonal skills, Social networking ,Intellectual capabilities, Problem solving skills,Teamwork,Leadership skills, Planning and Organization skills, Business Skills.Adaptability.Intellectual & Learning Skills, Managing Priorities/deadlines, Technology skills and Analytical Skills are major influencing factors that influence Job performance of Employees. It is suggested that Knowledge Management (KM) has become critical in today’s rapidly changing business environment so the employees must try to gain adequate knowledge Management skills through knowledge creating, sharing and retaining for better performance of job in the Organization.
Towards Enhanced Anomaly Object Detection and Face Recognition (EAODFR) in Surveillance Videos using Recurrent Neural Networks
Authors:   Research Scholar, Department of Computer Science and Engineering, Park College of Engineering and Technology, Tamil Nadu, India., Ragupathy* P. , Vivekanandan P. ,   Professor and Head, Department of Computer Science and Engineering, Park College of Engineering and Technology, Tamil Nadu, India.
Published: December 2019

In the present decade, anomaly object detection and face recognition from surveillance videos from diverse environments have become interesting and challenging research areas in computer vision. This paper works on developing an Enhanced Anomaly Object Detection and Face Recognition (EAODFR) model using Recurrent Neural Networks (RNN). Moreover, fractional derivative based background separation has been incorporated for framing efficient background subtraction model and foreground segmentation with appropriate pixel definitions on each frame of the surveillance videos. The Region of Interest detection has been done using optimal thresholding and for detecting anomaly objects. Further, efficient face recognition has been accomplished by designing the Recurrent Neural Networks (RNN), which is implemented with Long Short-Term Memory (LSTM). The recurrent NN are trained in terms of determining anomalous objects using the extracted features in the each frame of the video. The obtained results are analyzed in terms of precision, recall and f-measure and compared with some existing face recognition models. The comparative analysis provides better results and outperforms others.
Tentative Exploration of Bacterial Concrete with Partial Replacement of Stone Dust
Authors:   research scholar in University college of Eengineering & Technology in Acharya Nagarjuna University , A.P., Shaik* Bifathima , Varalakshmi Dr.T.V.S ,   Assistant professor, University college of Engineering& Technology in Acharya Nagarjuna University, A.P
Published: December 2019

Concrete remains the foremost magnificently used artifact on the soil. The vulnerability of concrete to very little scale breaking decreases its quality and toughness. The repair steel onself for splits is pricey, time disbursement and gets to be arduous in blocked off regions. A self mending bioremediation procedure consolidating spar quick microorganism has been projected among the show take into consideration which could operate the arrangement to this issue. The being spar precipitation will naturally recuperate the smaller scale splits and pores inside the concrete and avoid the broadening of splits. this could cause the thrifty of costs and times went through for maintenance and avoid the subsequent misfortune in quality and solidness of concrete. The concentration of true bacteria Megatherium 10^5cfu/ml and salt were introduced in auxiliary concrete to comprehend the right concentration of microbes. the quality of the foremost elevated review of being concrete had progressed as compared to the foremost reduced review due to the classification of the component. The cogitate has been created to assess the impact on mechanical and toughness properties of M35 review concrete created with substitution of cement with quarry clean ( third,15%,20% and, twenty five and 30%) for each set mechanical property wear examined by liberal arts compression check for 3d shapes, flexural check for bars at that quality ar progressing to be reached thereon result able to embrace the true bacteria Megaterum and at the instant another time discover out the compression take a look at for 3d shapes, flexural check for bars. being spar precipitation was evaluated utilizing associate X-ray diffraction investigation visualized by filtering research and analyzed by vitality dispersive spectroscope. it had been found that the right concentration of B.megaterium had a positive impact on quality auxiliary concrete.
An Integrated Methodology towards Mitigation of Global Warming and Biomass Production for Biodiesel using Chlorella sorokiniana BTA 9031
Authors:   Assistant Professor Department of Chemical Engineering, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, India, Khan* Dr. Anoar Ali , Mondal Madhumanti ,   Department of Chemical Engineering, National Institute of Technology Durgapur, Durgapur, India, Halder Gopinath ,   Department of Chemical Engineering, National Institute of Technology Durgapur, Durgapur, India
Published: December 2019

The rise of atmospheric carbon dioxide (CO2)concentration as well as depletion of fossil fuel reserves calls for the development of clean and ecofriendly alternative fuel source. Recently, lipid rich microalgal biomass is being extensively studied for generation of biodiesel however, the expensesincurred on production of microalgal biomassis a significant hurdle. Almost 80 % of the production costis generated from the cultivation medium which majorly comprise of carbon, nitrogen and phosphate. If the microalgal cultivation could be linked to a CO2 capturing unit than the cost of production could be reduced to a large extent. CO2 absorption by means of aqueous amine solvents is known to be a mature technology and could be integrated with microalgal cultivation unit for efficient utilization of the captured CO2. In this present research work, blended solution of piperazine (PZ) and2-amino-2-methyl-1-propanol (AMP) (5/25 wt. %) was used to capture CO2 and then the captured CO2 was utilized as an inorganic carbon stream for growing Chlorella sorokiniana BTA 9031 for biodiesel production. The CO2rate absorption was governed by series of process variablesviz.solvent flow rate ranges (1.5 to 3) ×10⁻4 m3 min-1, absorption temperature (298 to 313) K,concentration of CO2 (10 to 15) kPa and gas flow rate(5 to 8) ×10⁻3 m3 min-1. The detected final biomass strengthofChlorella sorokiniana BTA 9031 was0.955g L-1. The fatty acid methyl esters (FAME) determinedsubsequentlyacid transesterification was observed to contain fatty acids suitable for biodiesel production.
Magnify Qos with Tabu & Link Scheduling In Wmn
Authors:   AP, CSE, Erode Sengunthar Engineering College(Autonomouc), Erode, India., Revathy* DrG. , Arieth Dr.R.Madonna ,   ASP/CSE, Vemu Institute of Technology,Chittoor, AP,India, Saravanan* DrG. ,   AP,CSE,Erode Sengunthar Engineering College(Autonomouc), Erode, India, Venkateshwaran Mr.M. ,   AP/CSE,Agni College of Technology,Chennai, India.
Published: December 2019

Wireless mesh networks(WMN) are remarkably endowed knowledge and steadfastness a progressively more imperative arrangement in impending cohort wireless mobile networks. A node in WMN act as both patron and attendant and convey data using hop by hop transmission. The preponderance urbane quality of WMN is scalability, and hence the prime problem is interference. We put self-assured a narrative technique to prolong route using TABU optimization(TSO) and stalk by link scheduling to shrivel interference and consequently swelling Quality Of Services(QOS). The investigational upshot shows arbitrator to the existing loom our new proposed method show increase in QOS.
Parkinson’s Disease Classification using Various Advanced Neural Network Classifiers
Authors:   student of M.E., Applied Electronics, Department of EEE, Kongu Engineering College, Erode, Tamil Nadu, India., Devi* S.Surya , Sivachitra Dr.M. ,   Professor, Department of EEE, Kongu Engineering College, Erode, Tamil Nadu, India., Sivachitra Dr.M. ,   Professor, Department of EEE, Kongu Engineering College, Erode, Tamil Nadu, India., Vadivel Dr.P. ,   Assistant Professor (Senior Grade), Department of Mathematics, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: December 2019

This paper proposes the application of Online Meta-neuron Based Learning Algorithm (OMLA), Self adaptive Resource Allocation Network (SRAN) and Projection Based Learning Meta-cognitive Radial Basis Functional Network (PBL-McRBFN) for Parkinson’s disease classification. This is the first journal paper to apply the concept of OMLA, SRAN and PBL-McRBFN for Parkinson’s disease classification. Online Meta-neuron based Learning Algorithm (OMLA) is a newly evolved network applied for Parkinson’s disease classification. This classifier make use of both global and local information of the network. Self Adaptive Resource Allocation Network (SRAN) consists of self adaptive control parameters that changes training data sequence, develop network architecture and learns network parameters. Also, repeated learning samples are removed with the help of this algorithm, hence training time and over flow problems can be minimized. The Projection Based Learning algorithm determines the output parameters of the network such that the energy function is minimum. The result shows the comparison of efficiency for the three networks in classification of Parkinson’s disease.
Improving Performance Parameters of PMBLDC Motor Using Fuzzy Sliding Mode Controller
Authors:   M-Tech Scholar, Department of EEE, Anurag Group of Institutions, Hyderabad, India., Manoj* Mr. Singirala , Krishna Mr. D. ,   Assistant Professor, Department OF EEE, Anurag Group of Institutions, Hyderabad, India., Kumar Dr. T. Anil ,   Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, India.
Published: December 2019

This paper proposes an intelligent speed control system for PMBLDC motor drive applications. A fuzzy sliding mode controller is designed for the high speed control of BLDC motors, Efficacy of the system can be improved by FSM controller. Due to the non- linear characteristics of BLDC motors PID controllers are not relevant to it. Noise disturbances, harmonics, and antecedent or consequent uncertainties are difficult to handle by Interval Type2 fuzzy PID controller. Whereas Sliding Mode Controller is most attractive control technique for all type of uncertainties, and improves the performance of the system. An effective Mat-lab / Simulation result presents the attractive performance of proposed system.
Work-Family Conflict and Family-Work Conflict and Their Effect on Quality of Life among Leather Industry Workers
Authors:   Assistant Professor, Department of Commerce in Pondicherry University Community College, Puducherry, India., Pandu Dr.A.
Published: December 2019

Conflict refers to the difference of opinion in layman terms, but the term is used for a better understanding as a clash that exists among different things. In this study, the work life conflict has been discussed and it describes the level of disagreement every individual faces while meeting the demands of both work as well as that of the family. The common perspective that exists among every individuals is that the work life conflict affects the quality of life of the working individuals and since, this statement subjects to variation and it needs to be tested the following objectives have been framed for the study. The objective of this research is to examine the relationship between work to family and family to work conflict and their effect on the quality of life among leather industry workers in Vellore. Data were gathered from 761 married workers employed in leather firms through a simple random sampling technique. The study has adopted the simple random sampling technique of data collection mainly due to its advantage of the probabilities of selecting each and every member of the target population as the samples for the study. SEM model is used for data analysis. The study identified that the rewards and recognition factors have a strong correlation with work to family conflict and employees’ health & that of their family members construct has a more positive association with the family to work conflict. On the other hand, work to family conflict possesses more impact over the quality of life than that of the normal family to work conflict. Results recommended that the government, Non-Government Organizations, and Women Self-help Groups must take necessary further measures such as quality of life awareness programs, alteration of working hours & ensuring employees' and their family members' well-being to avoid the work-life conflict issues and to improve their quality of life. This type of research would be highly helpful in order to conduct behavioural studies among the working individuals in the near future.
Impact Of Globalisation on Formal, Motivational And Strategic HRM Practices: AN Empirical Evidence From India
Authors:   Research Scholar, Department of Commerce, Aligarh Muslim University, Aligarh, India., Khan* Akbar Ali , Khan Dr. Mohd Asif ,   Associate Professor, Department of Commerce, Aligarh Muslim University, Aligarh, India.
Published: December 2019

New economic development, which is a result of globalisation and internationalisation, has exerted tremendous pressure on the Indian human resource functions how to evolve itself and add the value to the outcome of the firm. The present paper precisely discusses the globalisation and its impact on the HRM practices of Indian firm in the light of new economic reforms. This study aims to examine the far-reaching changes in the pattern of HR practices owing to ever-increasing globalisation in India. The data were collected through the self-developed questionnaire from 282 senior HR managers of Indian firms. The principal component analysis with varimax rotation generated three components from fifteen HR practices, namely Formal, Motivational and Strategic HR practices. Structural Equation Modelling (SEM) technique has been applied to understand the relationship between globalisation and three bundles of HR practices by using the SPSS Amos 22 software. The study findings suggest that the role of globalisation cannot be neglected. Indeed, The HR policies and practices of Indian firms are strongly influenced by the pace of globalisation of the Indian economy.
Community-Driven Collaborative Recommendation System
Authors:   SC & SS, Jawaharlal Nehru University, New Delhi, India., Chaudhary Laxmi , Singh Buddha ,   SC & SS, Jawaharlal Nehru University, New Delhi, India.
Published: December 2019

Recommendation systems (RSs) are an application of community detection, becoming more significant in our daily lives. They play a significant role in suggesting information to users such as products, services, friends and so on. A novel community driven collaborative recommendation system (CDCRS) has been proposed by the authors, in this particular paper. Furthermore, K means approach has been utilized to detect communities and extract the relationship among the users. The singular value decomposition method (SVD) is also applied. Issues of sparsity and scalability of the collaborative method are considered. Experiments were conducted on MovieLens datasets. Movie ratings were predicted and top-k recommendations for the user produced. The comparative study that was performed between the proposed as well as the collaborative filtering method dependent on SVD (CFSVD) as well as the results of experiments shows that CFSVD is outperformed by the proposed CDCRS method.
K medoid Clustering in Wireless Sensor Network using a Constant Threshold
Authors:   Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India., Gupta* Sonal , Narwaria R.P. ,   Department of electronics engineering ,madhav institute of technology and science ,Gwalior ,India.
Published: December 2019

wireless sensor network (WSN) is system which comprises of countless little sensors called node which has low-control handset that utilized device for get-together information in an assortment of situations dependent on system arrangement. The correspondence or message transitory procedure intended to preserve restricted energy assets of sensors for information handling is fundamental undertaking of WSN. To achieve this assignment, we are presenting another idea for sparing energy& upgrading the system lifetime of the system. Clustering is inventive in a few territories which incorporates abstain from execution clustering in every round, presenting secure limit, utilizing various calculations to do Clustering & using multi-jump directing by thinking about reasonable center node to transfer information as of every cluster to base station (BS). Residual energy, no. of nodes & separation of every node are measured measures to choose cluster head (CH) utilizing consistent edge has been contrasted with different calculations as far as parameters, for example, organize era, dead nodes in each round, main node kick bucket, & half beyond words last amazing.
Innovative Technologies in Agriculture
Authors:   Department of Management and Business Administration, Michurinsk State Agrarian University, Michurinsk, Russia., Nikitin* Alexander , Kuzicheva Natalia ,   Department of Management and Business Administration, Michurinsk State Agrarian University, Michurinsk, Russia.
Published: December 2019

Agriculture is a key industry for solving problems on food security, economic and environmental sustainability. Due to this, issues of restoring the industry intensity are becoming vital. In the article it is emphasized that this process should be implemented through an evolutionary transition to the fifth technological mode. This implies bringing the number of agricultural machinery to standard values and its subsequent equipping with means of information control over the operation of all technical systems, as well as parallel driving. The search for ways to restore soil fertility by using biologization of agriculture is becoming highly relevant under the conditions of increasing toxicity of chemical mineral fertilizers remaining in soils, the acute imbalance and nutrient deficiency. The Russian agriculture should be reindustrialized by using achievements of biotechnology. The use of the biological product system of fertilizers and the protection of plants from pests and diseases should result in the widespread development of the organic agricultural production. However, the availability of innovative technologies remains low for most agricultural producers. The reason for this situation is the low intensity of the reproduction process in the industry, accompanied by low profitability of agribusiness. The state should motivate the transition to innovative agricultural production technologies. On the one hand, it should initiate the creation of enterprises on producing resources for using innovative technologies in agriculture, and on the other hand, – regulate the intersectoral redistribution of the created value, avoiding the “zero” profitability of production among participants of production systems, and, on the third hand, – maintain or increase the profitable part of the budget.
Sensor Guided Docking of Autonomous Mobile Robot for Battery Recharging
Authors:   Department of Electronics & Instrumentation Engineering, GSSS Institute of Engineering & Technology for Women, Mysuru, India., Rao* M V Sreenivas , Shivakumar Dr. M ,   Department of Electronics & Instrumentation Engineering, GSSS Institute of Engineering & Technology for Women, Mysuru, India.
Published: December 2019

For uninterrupted working of autonomous mobile robot, battery level needs to be continuously monitored. Normally, few hours of peak usage may be provided by rechargeable batteries. The batteries need to be recharged when its voltage reaches threshold value. The autonomous mobile robot docking for recharging is implemented in this paper. The robot employs sensors, microcontroller ATMEGA16 and voltage divider circuit. The robot has two sensors, IR sensor and Ultrasonic sensor which finds the obstacle (docking station) and orient the robot in the proper position for docking and recharging. The discharging voltage of the battery is detected using voltage divider circuit. The robot’s ultrasonic and IR sensors perform the detection of docking station for battery recharging. Ultrasonic sensor helps to detect the obstacle and range from robot.IR sensor is used for the orientation of the robot at the exact position for docking purpose. These two sensors in the robot provide the data about the distance from the docking station to the microcontroller. The algorithm called as Random search algorithm (RAS) is developed to assist the robot to get docked for recharging. This algorithm randomly moves the robot to search the docking station, if found will move towards it and starts for docking and charging or else it rotates to the right. Atmel studio 6 is the software development environment used to write code in Embedded C language.
Methodological Basis of Forming Spatial Poles of the Economic Growth in the Rural Areas
Authors:   Novosibirsk State Agricultural University, Novosibirsk, Russia, Denisov* Alexander Sergeevich , Papelo Valerij Nikolaevich ,   Siberian Institute of management – a branch of the Russian Presidential Academy of National Economy and Public Administration (RANEPA), Novosibirsk, Russia., Kovtun Bogdan Anatol'evich ,   Novosibirsk State Agricultural University (NSAU), Novosibirsk, Russia., Vyshegurov Maksim Sultanovich ,   Novosibirsk State Agricultural University (NSAU), Novosibirsk, Russia., Goloshevskaya Anna Nikolaevna ,   Siberian Institute of management – a branch of the Russian Presidential Academy of National Economy and Public Administration (RANEPA), Novosibirsk, Russia.
Published: December 2019

The current socio-economic development of the Siberian village and its arrearage from the standards of the population’s life quality require rural territories to change over to the sustainable development. This change assumes the depth and consistency of the innovative structural, organizational and economic, and legal transformations that are forthcoming in the economy and social area of rural territories. It is impossible to carry out such modernization simultaneously and everywhere. The authors of the study substantiate the methodology of a phased approach based on the theory of “poles” or growth “areas”. The methodology has been offered to form rural growth poles. It has been developed by using the cartographic method based on the principles of identifying growth centers and developing adjacent areas as economic satellites whose socio-economic development is related to the “poles” development. During the study, the authors have offered to single out seven rural poles of the social and economic growth in the Novosibirsk Region as promising centers of development, concentration of economically active population where it is possible to form territories of advanced development.
Design and Analysis of Solar Assisted Electrical Vehicle
Authors:   Research Assistant, Department of Vehicle Engineering, National Taipei University of Technology, Taipei City, Taiwan., Kantipudi* Mahendra Babu , Chunchula Rajesh Babu ,   Assistant Professor, School of Mechanical Engineering, REVA University, Bangalore, INDIA
Published: December 2019

Regular fuel-based vehicles are more reliable because of their rich looks, flexibility, influence, and preferred effectiveness over non-traditional electrical vehicles. Building a green vehicle is a test given the constraint in power transformation. The energy transfer rate of a sun-oriented power vehicle is less. In this proposition, this paper has endeavored to cover every one of the parameters and components influencing the manufacture of a sun-oriented controlled vehicle. Computer-aided engineering/design has played a significant job to accomplish the execution objectives of the vehicle. The present work visualize utilizing both sunlight based and electric forces to impel the vehicle since sun based power transformation is not enough to meet the complete power necessities. Considering weight, strength, and ergonomics an optimal chassis was designed. Then the chassis frame analyzed for different ride conditions. The suspension system and other vehicle systems were designed by following basic vehicle conditions and analyzed the components. Finally, the performance of the vehicle was estimated. According to those estimations, this vehicle is very much suitable for on-campus transport application. This design is just to give a brief idea to develop the solar-based electrically driven vehicles
Statistical Analysis of Wind Speed & Wind Direction in Tantan Province, Morocco
Authors:   Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco., Mohammed* Daoudi , Abdelaziz Ait Sidi Mou ,   Faculty of Sciences and Technologies, University Hassan 2nd, Mohammedia, Morocco., Mohammed El Koumri ,   Faculty of Sciences, University Ibn Zohr, Agadir, Morocco., Elmostapha Elkhouzai ,   Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco.
Published: December 2019

In this paper, a two-parameter Weibull statistical distribution is used to analyze the characteristics of the wind from the Saharan area, located in the Tantan province, Morocco, for 08 years at 10 m. During those 08 years (2009-2017) the frequency distribution of the wind speed, the wind direction, the mean wind speed, the shape and scale (k & c) Weibull parameters have been calculated for the province. The mean wind speed for the entire data set is 6.4 m/s. The parameters k & c are found as 1.9 and 2.52 m/s in relative order. The study also provides an analysis of the wind direction along with a wind rose chart for the province. The analysis suggests that the highest wind speeds that vary (vm = 5.1m/s; vmax = 18.5m/s) prevail between sectors 165-175 ° with an average frequency of 1.4% and lower wind speeds (vm = 2.5m/s; vmax = 9.7m/s) occur between sectors 245-255° with an average frequency of 0.6%. The results of this document help to understand the wind power potential of the province and serve as a source of wind power projects. From a perspective, the wind energy system is an alternative to the future of the Sahara province of Morocco.
Face Recognition Based Attendance System in Schools and Organisations
Authors:   College: Department of Computer Science and Engineering, SRM Institute of Science and Technology Chennai, India, Singh* ImAbhishek Kumar , Pattanaik Chirag ,   College: Department of Computer Science and Engineering, SRM Institute of Science and Technology Chennai, India, Darokar Sanket ,   College: Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai, India.
Published: December 2019

To give programmed understudy attendance framework and understudy attendance framework by actualizing a superior face discovery and acknowledgment framework. The framework takes pictures of understudies and distinguishes, examines and perceive faces utilizing picture preparing calculations. Haar course classifier and LBPH calculations are utilized for facial acknowledgment. In the wake of gathering picture handling information, the framework will create a record of definite attendance and transfer it to the cloud. In a particular time (ex: 14 minutes after class has begun) framework will send the email warnings to the understudies in the event that they are missing. After conclusive report is transferred tally of the understudies’ present will be spared. On the off chance that check is diminished during address hours, at that point email will be sent to the regarded staff about the bunking of the understudy. OpenCV library will be utilized for actualizing Haar course classifier and LBPH, Python and python library Numpy will be utilized for investigating information [10]. Area Convolutional Neural Network (R-CNN) is utilized for flawlessly checking the quantity of understudies present inside the study hall and recognizing on the off chance that somebody bunks the class.
Efficient Intrusion Detection System to prevent the Packet Dropping nodes from Infrastructure Less Networks
Authors:   Assistant Professor, Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to be University, Hyderabad, India., Mohammad* Arshad Ahmad Khan , Muqtadir Abdul ,   Lecturer , Mazoon College, Muscat, Sultanate of Oman,, M Anusha ,   Associate Professor, Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
Published: December 2019

Mobile ad hoc networks is wireless infrastructure free networks. It consist of heterogeneous mobile nodes. These nodes are distributed in wireless communication area. The characteristics of the network are adaptation, autonomous and self-formation and distributed peer to peer network. Applications of the network are military, health care and disaster recovery. Characteristics and applications of MANET demands reliable efficient communication. Multi hop communication is enable in the network by cooperation of the intermediate nodes. The intermediate nodes drop the packets due to either system fault or malicious behavior. Different way of packets drop due to system fault is recognized and isolated from malicious packet dropping nodes during the communication in existing “secure knowledge algorithm”. However, it does not prevent the packet drop due to system fault in the network and it is very essential to enhance the performance and reliability of the communication. Thus the paper design “Efficient Intrusion Detection System to Avoid the Packet Dropping Nodes from Communication Route”. Performance of the proposed IDS is tested in the simulator NS-2 and compare the results with existing work. Results are clearly indicating that the proposed IDS out perform in comparison with existing work in terms of reliability and packet delivery.
Red Lesions Identification of Retina for Diabetic Patients
Authors:   Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India., Unhale* Geeta G. , Biswas Mohua ,   Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India., Deshmukh Manoj A. ,   Department of Electronics and Telecommunication Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India.
Published: December 2019

The automatic identification of retinal lesions in fundus images is crucial. In this paper, the approach used for identification of microaneurysms and hemorrhages in fundus images is appropriate. By using this technique, the features of changing shape for the identification of red lesions in the fundus images are effective in which segmentation is not necessary. While image flooding, shape features are evolved and characterized between red lesions and vessel segments.
Efektivitas Inovasi Intervensi Keperawatan Mengulum Es Batu Terhadap Skala Haus Pasien Hemodialisis
Authors: Lina Liza Fitri , Wahyu Haifa
Published: December 2019

Patients with chronic renal failure undergoing hemodialysis often feel thirsty due to the presence of a recommended fluid restriction program. Sucking ice cubes is one of the many methods of managing thirst in CKD patients. The purpose of this study was to determine the Effectiveness of Nursing Innovation in Ice Cubes Nursing Interventions to reduce the thirst scale of chronic renal failure patients undergoing hemodialysis at RSUD dr. M. Yunus Bengkulu. This type of research will be used is quantitative research with a pre-experimental approach using one group design pre-test and post-test. The results of the univariate analysis found that most respondents were female with a total of 8 people (60.0%), most of the respondents' thirsty scale before sipping ice jeger was a heavy thirst that was as many as 7 people (46.7%). After being given the intervention of drinking ice jeger, most of the thirst scale decreased to moderate thirst as many as 11 people (73.4%) and 1 person weight (6.7). Bivariate analysis results obtained ρ Value 0.001 (0.05). In conclusion, there is an influence of cold suction on the reduction of thirst in chronic kidney failure patients undergoing hemodialysis at RSUD Dr. M. Yunus Bengkulu. This research can be a management / therapy that can be applied to reduce thirst complaints both at home and in the hospital. Key words: chronic kidney failure, hemodialysis, sucking ice cubes, thirst scale
PENGARUH MODEL PAIR CHECK TERHADAP KEMAMPUAN MENGINDENTIFIKASI UNSUR-UNSUR TEKS NARASI (CERITA FANTASI) PADA SISWA KELAS VII SMP SWASTA BUDI SETIA SUNGGAL TAHUN PELAJARAN 2018/2019
Authors: Rahmadhani Aulia , Annisa Annisa , Daulay Ibrahim
Published: December 2019

Penelitian ini bertujuan untuk mengetahui pengaruh model pair check terhadap kemampuan mengidentifikasi unsur-unsur teks narasi (cerita fantasi) pada kelas VII SMP Swasta Budi Setia Tahun Pelajaran 2018/2019. Penelitian ini merupakan penelitian kuantitatif menggunakan metode eksperimen dengan desain two group post-test only design.

Populasi dalam penelitian ini adalah siswa kelas VII SMP Swasta Budi Setia Sunggal yang berjumlah 91 siswa. Penelitian sampel dengan teknik random sampling. Berdasarkan teknik tersebut diperoleh kelas VII-A sebagai kelas eksperimen terdiri dari 30 siswa dan kelas VII-B sebagai kelas kontrol terdiri dari 30 siswa. Teknik pengumpulan data dengan menggunakan tes, yaitu post-test. Proses pengumpulan data dengan cara menugaskan siswa mengidentifikasi unsur-unsur teks narasi (cerita fantasi).

Sebelum dilakukan analisis data, terlebih dahulu dilakukan uji normalitas dan uji homogenitas yang menunjukkan bahwa skor post-test berdistribusi normal dan homogen. Teknik analisis data adalah uji-t. hasil penelitian menunjukkan adanya pebedaan kemampuan mengidentifikasi unsur-unsur teks narasi (cerita fantasi) siswa kelas VII SMP Swasta Budi Setia Sunggal dengan model pair check dan tanpa model pair check. perbedaan tersebut ditunjukkan oleh hasil uji-t yaitu = 11,2, = 2,03 maka kriteria pengujian hipotesis penelitian ini adalah > . Hipotesis nilai ditolak dan hipotesis alternatif () diterima.hal ini membukikan bahwa terdapat pengaruh positif model pair check terhadap kemampuan mengidentifikasi unsur-unsur teks narasi (ceriat fantasi) pada siswa kelas VII SMP Swasta Budi Setia Sunggal Tahun Pelajaran 2018/2019.
PERGESERAN MAKNA ASOSIATIF PADA LIRIK LAGU IWAN FALS DI ALBUM MUSIKAL SATU TAHUN 2015
Authors: Ratnasari Iin , Retnowaty Retnowaty , Prasetya Kiftian Hady
Published: December 2019

Pembahasan yang diangkat oleh peneliti adalah tentang kajian semantik yakni jenis-jenis makna. Akan tetapi peneliti hanya memfokuskan pada jenis makna asosiatif dengan rumusan masalah yakni mengenai jenis makna asosiatif yang meliputi makna konotatif, makna stilistik, makna afektif, makna reflektif dan makna kolokatif. Peneliti memilih lirik lagu Iwan Fals album musikal “Satu” tahun 2015 sebagai objek penelitian karena dalam objek tersebut banyak mengandung pembahasan mengenai rumusan masalah tersebut. Jenis metode yang digunakan dalam penelitian ini adalah metode penelitian kualitatif yang bersifat mendeskripsikan data, untuk mempermudah dalam pengumpulan data mengenai makna asosiatif yang terdapat pada lirik lagu Iwan Fals album musikal “Satu” tahun 2015. Peneliti menggunakan kartu data kemudian peneliti menguraikan di pembahasan hasil penelitian. Hasil penelitian yang berjudul Pergeseran Makna Asosiatif Pada Lirik Lagu Iwan Fals Di Album Musikal “Satu” Tahun 2015. Peneliti menemukan jenis – jenis makna asosiatif yaitu makna konotatif makna yang mempunyai nilai rasa, ditemukan sebanyak 14 data. Makna stilistik makna yang berhubungan dengan perbedaan sosial, ditemukan sebanyak 4 data. Makna afektif makna yang berhubungan dengan perasaan pendengar, ditemukan sebanyak 5 data. Makna reflektif makna yang menimbulkan makna lain, ditemukan sebanyak 6 data. Makna kolokatif merupakan makna yang berada pada kolokasi yang sama, ditemukan sebanyak 4 data.
Principales herramientas epigenéticas para el diagnóstico y seguimiento de neoplasias hematológicas
Authors: Sánchez-Álvarez Juliana P. , Acevedo-Toro Paola A.
Published: December 2019

El análisis exhaustivo de los patrones de metilación del ADN es una parte fundamental para entender las bases moleculares del desarrollo y progresión de las neoplasias hematológicas, debido a que la hipermetilación en regiones promotoras afecta directamente vías carcinogénicas y conduce a la inactivación de genes involucrados en procesos celulares fundamentales como el ciclo celular y la apoptosis. En esta revisión de literatura se presenta una descripción de las técnicas más utilizadas para el estudio de la metilación: la reacción en cadena de la polimerasa específica de la metilación (MSP), el análisis combinado restricción bisulfito (COBRA), la secuenciación dependiente de bisulfito (BSP), la pirosecuenciación con bisulfito y las técnicas basadas en micromatrices; describiendo su principio, aplicación en la investigación de las neoplasias hematológicas y algunas de sus fortalezas y debilidades.
Condrodisplasia metafisaria tipo Schmid: un caso de presentación familiar
Authors: Garcés-Constaín Camilo E. , Rodríguez-Vélez Guillermo H. , Acosta-Aragón María A.
Published: December 2019

Dentro de las displasias óseas hay cuadros clínicos que hacen parte de las denominadas condrodisplasias metafisarias, conocidas también como disostosis metafisarias, las cuales presentan mínimas diferencias entre sí, lo que las hace susceptibles de ser confundidas con otros cuadros clínicos como la acondroplasia y el raquitismo. En este artículo se presenta un caso clínico de condrodisplasia metafisaria tipo Schmid de un paciente de Popayán, Colombia, al igual que algunas consideraciones sobre las principales características clínicas, radiológicas, de diagnóstico y tipo de herencia de esta enfermedad. El caso clínico corresponde a un paciente de género masculino de 23 meses de edad, en quien se inician estudios por la presencia de talla baja desproporcionada. Los resultados mostraron coxa vara, genu varo y extremidades cortas, con un fenotipo similar en la madre y el abuelo materno. Las radiografías evidencian la presencia de irregularidad con “deshilachamiento” de las metáfisis de huesos largos; además, ensanchamiento y esclerosis en las metáfisis proximales de ambos fémur. La meta final es ser confirmado por medio de pruebas genéticas. En conclusión, las condrodisplasias metafisarias, especialmente la tipo Schmid, son enfermedades caracterizadas por talla baja y hallazgos radiológicos especiales, dados principalmente por el compromiso metafisario a nivel de los huesos largos, que en conjunto con las características fenotípicas pueden conducir a la sospecha e identificación de este tipo de patología.