bluuebunny/crossref_metadata_2025 huggingface dataset:
New Technological Scheme for Dredging Process
Authors:   Associate Professor and Head of Ship`s Power Plants Operation and Systems Department of the Danube Institute of the National University “Odesa Maritime Academy”, Izmail City, Ukraine., Maslov Igor Z. , Chimshir Valentin I. ,   Associate Professor and Director of the Danube Institute of the National University “Odesa Maritime Academy”, Izmail City, Ukraine., Smyrnova Iryna M. ,   Associate Professor and Deputy Director for Scientific Work of the Danube Institute of the National University “Odesa Maritime Academy”, Izmail City, Ukraine, Naydyonov Andrii I. ,   Senior Lecturer at Department of Ship Power Plants and Systems of the Danube Institute of the National University “Odesa Maritime Academy
Published: January 2020

The present investigation aims to propose adevelopment of new technology for marine dredging operations. The main problem of dredging process connected with profit increase and reduction of time required to produce the necessary amount of soil. It is shown in the article that these can be achieved by changing the technology of slurryprocessing and transporting only. The specific concentration of water in the slurry reductionleads to an increase of the most important working indicator - the productivity of the dredger. Under the same conditions the dredging vessel’s operating time can be reduced by increasing the concentration of soil in the slurry. For this purpose, a new technological scheme was developed. It was describedhow to use the schemefor two typical operational modes of the vessel.The first one describes the process of slurry extraction and transportation through a nearshore deflate pipeline, and the second one, when the extracted soil enters the cargo hold of the dredger.
Cosmetology Field and It’s Significance for Education and Industry Sector
Authors:   Senior Lecturer, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia., Kiong Tee Tze , Puad Farah Najwa Ahmad ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia, Zain Elia Md ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia., Heong Yee Mei ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia., Azid Nurulwahida ,   Education and Modern Languages, UUM College of Arts and Sciences, Universiti Utara Malaysia.
Published: January 2020

The purpose of this paper was to identify the trends in cosmetology field. This paper also provides the definition of cosmetology, cosmetics, and other pertinent terms. Gathered articles were identified using electronic databases such as Google Scholar, Science Direct and Eric from year 2010 to 2019. These reviews found that training and earning professional licensing are crucial for cosmetologist to sustain in the beauty industry. Furthermore, these reviews bring researcher to relate that there is a lack of study in cosmetology education and teaching. Whereas, this cosmetology field is vast and growing nowadays. So that, the results of this study suggest that future study needs to be conducted to examine the educational intervention on effective learning and teaching strategies in cosmetology fields. This will provide more information required for the development of cosmetology curriculum to support students’ academic interests, knowledge and skills in cosmetology.
Determinants of Bond Rating and its Implications to Corporate Bond Yield
Authors:   Universitas Pamulang,Tangerang Selatan,Indonesia, Hamid Aceng Abdul , Siagian Arifin ,   Universitas Satya Negara Indonesia, Jakarta,Indonesia;, Razak A. ,   Politeknik Negeri Pontianak, Pontianak, Kalimantan Barat , Indonesia, Endri Endri ,   Universitas Mercu Buana, Jakarta, Indonesia;
Published: January 2020

Identifying the factors that affect bond ratings is important in relation to investment decisions in long-term debt securities because they have an impact on corporate bonds. The research objective is to analyze the factors that influence bond ratings and their implications for corporate bond yields, both partially and simultaneously. This study uses a logistic regression model to estimate the determinants of corporate bond ratings and a panel data regression model to estimate the implications for corporate bond yields, by taking samples of corporate bonds listed on the Indonesia Stock Exchange (IDX) during the 2012-2016 period with a number of samples research with as many as 36 corporate bonds. Based on the results of the study, using the logistic regression method, the following research findings were obtained: company size, liquidity, leverage and profitability simultaneously affected bond ratings with a contribution of 33.62% (R2 ). In addition, the size and liquidity of the company have a positive and significant effect on bond ratings. While the results of the panel data regression analysis, it was found that company size, liquidity, leverage, profitability and bond rating simultaneously affected bond yields with a contribution of 70.4% (R2) while 29.6% was influenced by other variables. In addition, the size and leverage of the company has a negative and significant effect on the yield of corporate bonds. This study also shows that the larger the size of the company, the less sensitive the changes in bond yields and vice versa, the smaller the size of the company, the more sensitive it is to changes in corporate bond yields.
Manipulation of Nonsense to Bring Sense: The Pinter Technique
Authors:   Assistant Professor, Vel Tech Rangarajan Dr. Sangunthala Institute of Science andTechnology Chennai., S Anuradha , Kumar R.Udhya ,   Assistant Professor, Vel Tech Rangarajan Dr. Sangunthala Institute of Science and Technology, Chennai
Published: January 2020

Harold Pinter, the Nobel laureate, is a literary giant of modern drama in English. His plays are categorized as belonging to the absurd theatre along with the likes of Beckett. The absurd theatre makes use of language in a peculiar way to communicate the real predicament of human existence. Harold Pinter, as a chief exponent of the Absurd Theatre made a significant stamp on the theatrical language. His style is so unique that it led to the coinage of the word ‘Pinteresque’. The speeches in his plays are an interplay of both sense and nonsense. This article aims to analyze the language employed by Harold Pinter and in the process examine how absurd it actually is
Power Quality Improvement in DG System using BOA based Interlined Unified Power Quality Conditioner
Authors:   Assistant Professor, Faculty of Electrical and Electronics Engineering, RVR & JCCE, Chowdavaram, Guntur., Anitha M. , Jyothsna T.R. ,   Professor, Department of Electrical and Electronics Engineering, Andhra University, Visakhapatnam,India
Published: January 2020

To improve the power quality of multi-feeder distribution system, this paper proposes a concept of Interline Power Flow Controller (IUPQC). IUPQC is a structure of two filters such as, series and shunt filters. The causes for poor power quality of system is due to harmonics, power factor variations and changes in system voltage. The purpose of these converters is to mitigate the PQ issues. The reference signals required for series and shunt converters of iUPQC system is generated with the help of conventional controllers and PWM controllers. The PLL used to match the phase sequence of converters. For obtaining better improvement in Power Quality this paper is implemented with one of the optimization technique such as Bull Optimization Technique (BOA). The purpose of BOA is used to control the DC Link Voltage of iUPQC. With the help of this BOA technique, the variations in voltage and current are reduced to enhance the power quality. The effectiveness of this proposed system with BOA technique is tested and verified using Matlab/ Simulink environment.
Optimization of Biodiesel Transesterification using ANN and Fuzzy Logic
Authors:   Associate Professor, Chemical Engineering Department, MVGR College of Engineering (A), Vizianagaram, A.P., India., Sastry Susarla Venkata Ananta Rama , Rao B. Sarva ,   Associate Professor, Chemical Engineering Department, MVGR College of Engineering (A), Vizianagaram, A.P., India., Kishor G. Ravi ,   Assistant Professor, Chemical Engineering Department, MVGR College of Engineering (A), Vizianagaram, A.P., India.
Published: January 2020

The high energy demand in domestic sector coupled with pollution brought by extensive exploitation of conventional fuels in an industrialized world makes it mandatory to boost renewable energy sources having lesser environmental impact than non-renewable ones. In this regard bio-diesel can be considered as a more reliable resource of energy that can be used readily in the existing engines. Biodiesel is formed by transesterification reaction of alcohol and triglycerides under a catalyst. In this paper, Bio-diesel is produced from karanja (pongamia pinnata) oil in sono reactor at varied methanol-oil ratios and varied catalyst ratios. Yield was found at different molar ratios of methanol:oil (6:1; 4.5:1; 3:1), different KOH concentrations (2.0 wt %; 1.5 wt %; 1.0 wt %) and different times (15 min; 30 min; 45 min; 60 min). The biodiesel thus obtained conformed to ASTM D6751 standards. The optimum conditions of maximum yield are determined at 50o C temperature, 45 min reaction time, 4.5:1 methanol:oil ratio and 1.5% of KOH. The results obtained are well in accord with the literature. Also ultrasonic vibration used for production of biodiesel proves to be promising technique. The biodiesel thus produced is analyzed using various tests to obtain its properties. Further optimization techniques namely Artificial Neural Network and Fuzzy Logic have been applied for modeling the reaction and finding the optimum yield at different conditions. The yield predicted by using ANN and Fuzzy logic was compared with the experimental yield. The ANN and Fuzzy can precisely calculate as per the experimental data with R2 = 0.998 and R2 = 0.995, respectively.
LFC of DFIG based Two Area System using TCPS, SSSC and SMES
Authors:   Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, india., Stephen D* Silas
Published: January 2020

The frequency and tie-line power in a system varies as the load changes. Therefore in order to damp the frequency, Load Frequency Control (LFC) is used. The function of the LFC is to minimizes the transient deviation and to make the steady state change in frequency, zero. This paper presents a Load frequency control (LFC) of Doubly Fed Induction Generator (DFIG) based two area system using Thyristor Controlled Phase Shifter (TCPS), Static Synchronous Series Compensator (SSSC) and Superconducting Magnetic Energy storage (SMES). Flexible AC Transmission Systems (FACTS) devices and SMES are used to damp out the frequency oscillations effectively in a power system. In order to maintain the system frequency at nominal value and the oscillations to settle down quickly a fast acting controller is desirable. In this paper a MATLAB based PID controller has been proposed in order to minimize the damping oscillation of the two-area interconnected power system. The results obtained with various combinations are presented and the results were encouraging.
Micro-Cement for Injection Consolidation of Base Soils
Authors:   Saint Petersburg Mining University, Saint-Petersburg, Russia., Smirnova* O.M. , Glazev M.V. ,   Saint Petersburg Mining University, Saint-Petersburg, Russia., Komolov V.V. ,   Saint Petersburg Mining University, Saint-Petersburg, Russia., Vilenskii M.Yu. ,   St. Petersburg State University of Architecture and Civil Engineering, Saint-Petersburg, Russia.
Published: January 2020

Issues of development of compositions of injectable materials on inorganic basis for underground and transport construction are considered in the paper. Inorganic binders for aqueous suspensions for strengthening of low-strength sandy and debris soils by injection into the fortified massif are proposed. The use of silica gel in combination with hydrated lime for injectable aqueous suspensions is justified. The influence of superplasticizer on the technological properties of suspensions is shown. The properties of micro-cement of different compositions are presented. Optimal ratios of components were determined. The following properties of aqueous suspensions have been studied: viscosity, sedimentation and penetrating power. The viscosity was up to 40 s, sedimentation up to 1.4%. Soil-concrete obtained by injecting the aqueous suspension based on composite binders has the compressive strength in the range of 3.3-6.2MPa.
A Computational System for Disease Diagnosis and Prescription Generation
Authors:   B.E, Department of Computer Engineering, Sardar Patel Institute of Technology, Bakhrey* Nishant , Bakhtiani Riya ,   B.E, Department of Computer Engineering, Sardar Patel Institute of Technology, Soni Jainam ,   B.E, Department of Computer Engineering, Sardar Patel Institute of Technology, Kalbande Dr.Dhananjay ,   Professor, Department of Computer Engineering, Sardar Patel Institute of Technology
Published: January 2020

Illnesses should be dealt with proper care and understanding and on time. If failed to be treated on time, they pave the way for numerous medical issues and these issues can lead to fatal deterioration of health, and in worst case death. These issues are winding up more awful in the villages because of the shortage of authorities, specialists and healthcare centres. To mention as a fact, the practitioners in Primary Health Care Centres (PHC) who provide 80% of outpatient care, don’t have proper qualifications for it. Considering the scenario of rural India, more than 8% of 25,300 primary health centres in the country were operating without a proper doctor, 38% had absence of a laboratory technician, and 22% had no pharmacist. The reason for the shortages of educated doctors is that trained and city-bred doctors are unwilling to serve in rural areas. In this paper, with a goal to address such issues, we have made endeavors to plan and create a master framework for practitioners and patients to enter the symptoms and find out the relevant disease. For most users, however, just the recognition of the disease is not helpful. This paper introduces a novel concept to augment the result of the recognized disease with affinity analysis to perform market basket analysis to help users identify their symptoms more easily and ameliorate the set of symptoms-input for classification. Later, it takes into consideration any particular allergy of the user while generating prescription. This system possess enormous advantage in diagnosing diseases especially in rural areas and provide adequate and appropriate results and also makes reliable predictions to users. For achieving this, we use Decision Tree Classifier on the symptom disease dataset and a content based recommendation system for generating the appropriate prescription.
The Factors that Influence the Development of Slums in Tallo, Makassar
Authors:   Department of Population and Environmental Education of the State University of Makassar, Latief* Rudi , Umar Ramli ,   Department of Population and Environmental Education of the State University of Makassar, Mandra Moh. Aksan S. ,   Department of Engineering of the State University of Makassar Bonto Langkasa Street, Gunung Sari Baru Campus, Postal Code: 90222 Indonesia
Published: January 2020

Tallo Urban Village which is one of the villages in Tallo District with a high population density, Tallo Urban Village has conditions that are categorized as slums on water based on Makassar Mayor Decree No.050.05 / 1341 / KEP / IX / 2014. There are 6 Subdistricts in Makassar City that are designated as slums especially Tallo Urban Village so that the problem in this study can be formulated regarding various factors that led to the development of slums in Tallo Urban District of Makassar. The purpose of this study is to identify the cause of the development of slums in Tallo Urban Village, Makassar City. In this study, the slums are characterized by physical areas (building management, water supply, wastewater management, drainage facilities, and environmental roads), non-physical areas (ownership of land rights, population density). The research variables we use in this study are Slums; Population density; Width of the Road Environment; Drainage Conditions; Waste Water Management; Clean water supply; Building Layout; and Building Status. In this study, the data collection techniques used were Multi-Stage Sampling, namely: area sampling technique; proportional sampling technique; and simple random sampling. The analytical approach used in this research is to use a quantitative approach, using the Chi-Square method. The results of this study found that the cause of the development of slums in the Tallo District of Makassar City was population growth that continued to increase each year. This shows that the allotment of land functions in Tallo Kelurahan, besides functioning as a settlement function, many also function as warehousing, so that Tallo Kelurahan is classified as moderate density, with population growth increasing every year.
A Big Data Analysis on Distributed File Storage System
Authors:   Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R&D Institutute of Science and Technology, Chennai, India., Yosepu* C. , Mahesh Dr. C. ,   Department of Information Technology, Veltech Rangarajan Dr.Sagunthala R&D Institutute of Science and Technology, Chennai, India.
Published: January 2020

Nowadays, the digital technologies and information systems (i.e. cloud computing and Internet of Things) generated the vast data in terabytes to extract the knowledge for making a better decision by the end users. However, these massive data require a large effort of researchers at multiple levels to analyze for decision making. To find a better development, researchers concentrated on Big Data Analysis (BDA), but the traditional databases, data techniques and platforms suffers from storage, imbalance data, scalability, insufficient accuracy, slow responsiveness and scalability, which leads to very less efficiency in Big Data (BD) context. Therefore, the main objective of this research is to present a generalized view of complete BD system that consists of various stages and major components of every stage to process the BD. In specific, the data management process describes the NoSQL databases and different Parallel Distributed File Systems (PDFS) and then, the impact of challenges, analyzed for BD with recent developments provides a better understanding that how different tools and technologies apply to solve real-life applications.
2735 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B6605129219/2019©BEIESP DOI: 10.35940/ijitee.B6605.129219 Journal Website: www.ijitee.org Image Substance Extraction using Data Mining Clustering Method
Authors:   Faculty of Operations & IT ICFAI Business School (IBS), Hyderabad, India., Saravanan* D.
Published: January 2020

Dater retrieval is one of the key challenging factor for today. Because of increasing the volume of data sets every year due to various factors. Information extraction in image data sets are too multifaceted compare with normal text data recovery. Image data set consist of different attributes those attribute sets are normalized before it extract from the stored data base. This required additional burden to the user who wish to extract any information from this data sets. This key challenges invite more researchers in the field of image data mining. Today many of the data sets in the form of image it gives more accurate result and more outputs. For extracting any image data image attributes are properly trained for better result. The proposed work based on grouping the data sets using image attributes. The entire process of this work divided into two major separate operations. Experiments dons against various data sets, and outputs verified proposed work gives more accurate results than the existing techniques.
A Multi Stage Path Indexed Energy Conserving Routing in MANET
Authors:   Research Scholar, Department of CSE, Noorul Islam Center for Higher Education Kumarakovil, India., Baby* Basil , Pramila Dr. R Suji ,   Associate Professor, Department of CSE, Noorul Islam Center for Higher Education Kumarakovil, India.
Published: January 2020

The technology behind Mobile Adhoc Network is growing day by day. This growth is triggered by the needs of the society and it remarks the influence and usage of MANET around the world. Due to the flexibility, scalability and ease of use, MANET has become a part of everyone’s life. So researches are carried out with a sole aim to maximize the throughput. There are many aspects to be covered to improve MANET performance which includes routing, energy usage, bandwidth usage, mobility management etc… Researchers try to bring better performance by tuning the above parameters to an optimal condition so as to bring an overall balance. Management of energy and its conservation by optimization is a critical issue to be addressed in MANET. This paper introduces a novel approach in MANET routing which enables better energy management during data exchange. This method uses a new paradigm which will provide Multi Stage Indexed Energy Conserving Routing in MANET (MSPIEC routing). MSPIEC routing identifies the overall energy equilibrium of the MANET during route discovery, and based on the statistics the data exchange will be carried out. Since MSPIEC routing has the data on energy equilibrium, more data will be passed through healthy routes and less data will be assigned through weaker paths, so that the entire data transfer will be balanced as a whole.
Assessment on Human Comfort Criteria of Tall Building under Dynamic Wind Loading
Authors:   Department of Civil Engineering,, Ujjain Engineering College ,Ujjain, India, Vishwakarma* Arvind , Maru Dr. Savita ,   Department of Civil Engineering,, Ujjain Engineering College ,Ujjain, India
Published: January 2020

The tall, light, flexible buildings may have large oscillating motions induced by wind or other causes that affect the comfort of the occupants. Wind induced motion in buildings may result in excessive vibrations such vibrations can cause discomfort conditions for occupants or damage to non structural elements. So it is essential to analysis the dynamic behavior of the tall building under the wind excitation which influences the human comfort. The purpose of present study is to anysied the range of human perception criteria associated with human comfort that is applied for serviceability limit state design. The design criteria were proposed based on the subjective perception test. The guideline for evaluating the acceptability of wind-induced tall buildings motions was defined by the expected value of motion perception acceleration. In this Project, human comfort condition of a tall building under wind excitation is assessed using estimation of peak acceleration by using Indian standard code IS 875(part3) :2015. Considering Four different Framed Tubes tall building circular structure having a G+20, G+30, G+40, and G+50 with different condition i.e. Normal Slab, Secondary Beam, Waffle Slab & Ribbed Slab are taken. Typical circular floor is 50 m in diameter and symmetrical in plan in both major directions. Then using ETABS-2013 software maximum displacement is evaluated using dynamic wind analysis of building by applying the gust factor method. With the help of maximum Displacement Peak acceleration will be calculated using is IS-875(part3); 2015 for different Framed Tubes structure conditions and modes of building. The peak acceleration obtained in the analysis is compared with the reference data given by Smith. S.B. and Coull book and human comfort perception level is calculating for Indian tertiary of the described location of India from which assessment of effective tall building under dynamic wind load is anysied.
Power Quality and Enhancement Techniques: Research Gaps and Current Trends
Authors:   Associate Professor, Department of EEE, The Oxford College of Engineering, Bangalore, India., P Sandhya , R* Dr. Nagaraj ,   Vice Chancellor, Kalasalingam University, Tamilnadu, India.
Published: January 2020

The increased use of electricity-dependent devices has posed many concerns to the power industry. The devices like electric motors, printers, generators, transformers, computers, etc are widely used in today’s world. The electronic devices increase the non-linear load to the power system which leads to the power quality (PQ) issues by which the electrical devices may get affected with fluctuation causing equipment failure, power system failure, etc. In order to resolve the PQ related issues and harmonics mitigation occurred due to nonlinear load power filters were introduced in decades ago. This paper deals with the review of existing researches that uses power filters and other methods for power quality improvement. The paper also gives gaps and the current state of the art in the recent researches which have futuristic scope in the research domain.
The Impact of Social Media & Messaging Application Utilization to the Learning Effectiveness (Higher Education Learning Effectiveness Through Social Media & Messaging Application)
Authors:   Faculty Member, Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia, Lisanti* Yuliana , Luhukay Devyano ,   Faculty Member, Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia., Member Rudy, Faculty ,   Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia.
Published: January 2020

Indonesian internet users reached 143,26 Million in 2017, most of them used internet for accessing messaging and social media application. We argue that usage of messaging and social media can give positive impact to the learning process. Our research method using questionnaire to collect data, research conduct in Private University in Jakarta, and student as our research unit analysis. The second year’s research shows that optimization of social media application and messenger services to improve student performance can be done by knowing the most common social media application and messenger services that used by student, socialize the process to increase number of participation, utilization of features of the application, continuous improvement, and communication about method’s success story that can attracts lecturer and students to apply and keep improve the more effective method and learning process. This research result can be use by the lecturer or educator to improve education through social media application and messenger.
Supplementary Education of Children in Modern Conditions of Pseda: Challenges and Prospects
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Z.V.* Smirnova , S.N. Kaznacheeva ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, E.Yu. Malushko ,   Institute of Philology and Intercultural communication, Volgograd State University,, V.G. Lizunkov ,   Ural State University of Economics,, O.A. Maletina ,   Institute of Philology and Intercultural communication, Volgograd State University,, T.B Novikova ,   Institute of Philology and Intercultural communication, Volgograd State University,
Published: January 2020

Socio-economic transformations in Russia have led to the need to modernize a lot of social institutions and, first of all, the education system. The present Russian system of additional education for children has a unique potential for the development of different abilities of students. The additional education of children possessing openness, mobility and flexibility, can respond quickly and clearly to the educational request of the family, create a stable environment of culture development, and also develop a conscious civic position. The maximum use of technologies of a personality-oriented approach contributes to a significant relevance for additional education in the whole diversity of its areas. Today the system of additional education plays a huge role in the training and education of the younger generation.
Techniques for the Discovery of Patterns Hidden in Large Data Sets and Process Flow of Data Mining
Authors:   Assistant professor, Department of CSE, Vaagdevi College of Engineering, India., Krishna* B. , Prasad Kauda Bhanu ,   Assistant professor, Department of CSE, Vaagdevi College of Engineering, India.
Published: January 2020

Data mining procedures are used to find the concealed or brand new patterns to keep the information. We know that data mining can utilize every sector like service, farming, advertising and marketing etc. There are numerous methods for data mining like clustering, distinction, and so on. There are a variety of techniques and also procedures of data mining which could be used on information to build up a brand new setting to enhance the efficiency of existing data and aid to make the brand-new prophecies on the records. Within this newspaper, our team provide procedures for the discovery of patterns concealed in sizable records sets, paying attention to problems relating to their usefulness, effectiveness, effectiveness, and scalability.
Improved Technique to Diagnose Fault in IEEE Standard 14-Bus System
Authors:   Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt, Amer* Ghada M. , Selmy* Ayman S. ,   Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt, Mohamed Wael A. ,   Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt
Published: January 2020

This study presents a new technique for fast detecting and diagnosing of power grids faults. Discrete Wavelet transform (DWT) has a major disadvantage of noise sensitivity. The proposed technique solves the problems of DWT, where a high-precision classification of noisy and faulty signals could be obtained. Fusion between voltage and power readings is done to provide a more reliable and accurate decision to determine the exact location of the fault. In this technique, the learner classifier is used,and the system is trained for multiple situations where most faults may occur. All simulations were carried out and performed on the standard IEEE 14 bus system to check the efficiency and performance of the technique proposed. Simulation results demonstrate, as will be discussed, a strong effectiveness of the suggested approach relative to others. The main feature of the proposed technique is that it can differentiate between faulty and noisy signals and recognize the fault's location quickly and with high reliability.
Performance Assessment of Engineering Educational Institutes in Madhya Pradesh using Topsis and GRA
Authors:   Mechanical Engineering Department, Gyan Ganga Institute of Technology & Sciences, Jabalpur, India., Krishna.M* Murali , Subbaiah Dr. K.V. ,   Mechanical Engineering Department, Andhra University, Visakhapatnam, India., Rao Dr. K.Narayana ,   Mechanical Engineering Department, Government Polytechnic, Srikakulam, India.
Published: January 2020

This paper uses multi criteria decision making methods to measure the performance assessment in engineering educational institutions in the state of Madhya Pradesh, India. To cater the need of technical manpower, a very large number of private engineering colleges have been established in the state of Madhya Pradesh of central India within a short span. The diminishing quality made so many engineering colleges forced towards closure is a concern in the state today. Therefore, the need for performance assessment and ranking of these engineering institutions is predominant. For the proposed framework, Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) and Grey Relational Analysis methods are applied for performance assessment of 28 engineering educational institutions taking into account some selected criteria.
Robust Special Strategies Re sampling for Mobile Inertial Navigation Systems
Authors:   Centre of Foundation Studies, City University Malaysia, MALAYSIA,Faculty of Information and Communication Technology, UniversitiTeknikal Malaysia Melaka, MALAYSIA,, Bejuri* Wan MohdYaakob Wan , Mohamad MohdMurtadha ,   School of Computing, UniversitiTeknologi Malaysia, MALAYSIA, Omar Hadri ,   Centre of Foundation Studies, City University Malaysia, MALAYSIA,, Omar Farhana Syed ,   Centre of Foundation Studies, City University Malaysia, MALAYSIA,, Limin Nurfarah Ain ,   Centre of Foundation Studies, City University Malaysia, MALAYSIA,
Published: January 2020

The mobile navigation services in an obstructed area can be extremely challenging especially if the Global Positioning System (GPS) is blocked. In such conditions, users will find it difficult to navigate directly on-site. This needs to use inertial sensor in order to determine the location as standalone, low cost and ubiquity. However, the usage of accurate inertial sensor and fast localization module in the system would lead the phenomenon of sample impoverishment, which it is contribute computation burden to the system. There are different situation of the sample impoverishment, and the solution by using special strategies resampling algorithm cannot be used or fitted in different cases in altogether. Adaptations relating to particle filtering attribute need to be made to the algorithm in order to make resampling more intelligent, reliable and robust. In this paper, we are proposes a robust special strategy resampling algorithm by adapting particle filtering attribute such as; noise and particle measurement. This adaptation is used to counteract sample impoverishment in different cases in altogether. Finally, the paper presents the proposed solution can survive in three (3) types of sample impoverishment situation inside mobile computing platform.
A Real Time Estimation of QoS for GA and LOA Algorithm in Cognitive Radio Network
Authors:   Department of Electronics & Communication Engineering, SCSVMV, Kanchipuram, India., Muthukumaran* D , Omkumar S ,   Department of Electronics & Communication Engineering, SCSVMV, Kanchipuram, India.
Published: January 2020

Cognitive radio networks sets priority for users to provide improved QoS for primary users. In most cognitive radio networks the primary user is assigned highest priority for communication. This causes the secondary user to wait for communication. Hence, alternative methods employ for secondary user to make transmit data on channel reserved for primary users. The secondary users sense free channels by spectrum sensing mechanism. In this paper, Heuristic Greedy algorithm (GA) and Lion optimization algorithm (LOA) apply for efficient channel utilization to improve QoS. In GA algorithm, the spectrum is shared between primary and secondary users on a time basis. In LOA, the primary and secondary users share spectrum information with each other. The GA and LOA algorithm apply in hardware testbed to evaluate comparative QoS analysis in terms of power consumption, delay and bandwidth. The analysis show LOA algorithm provide better QoS compared to GA algorithm.
Implementation of Datalogger for Live Tracking of Vehicle Parameters Using Gsm-Gps for Security
Authors:   ECE Dept., GIST, Nellore, Radhika* K. , Babu Y.Murali Mohan ,   ECE Dept., SITAMS, Chittoor, Narasimhulu G.Chinna ,   ECE Dept., GPW, Kadapa.
Published: January 2020

The state-of-art methods designed for object tracking are instant-based. No previous data will be stored in these methods. In current scenario, continuous tracking of the vehicle is important in providing more security, but the amount of data and power utilization will be high that affects the cost of the system. Designing and development of data logger tool will meet the demand. The track record for Trip, Ignition, Engine Temperature, Distance Travelled, Fuel consumption, Speed Violations, Engine Break Down Conditions, etc. are maintained by sensing the vehicle along with the Geographical locations and get stored in the data logger. The stored data provides more security for the rider as well as dependents and also for government organizations like RTO, Traffic department, etc., This work concentrated on data acquisition and vehicle automation using the Designed Server and Mobile Application for tracking and control. The current location of the vehicle, the speed of the vehicle, ignition on/off status, etc., can be tracked.
Design of Multi-Stage Axial Flow Compressor and Validation using Numerical Simulations
Authors:   Student, Heat Power, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune. Dist. Pune, Maharashtra, India., D.* Cheke K. , A.G. Kamble ,   Associate Professor, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune. Dist. Pune, Maharashtra, India.
Published: January 2020

The optimum yield of gas turbine engines has so far been driven on and around the operational efficiency of the compressor and in essence around the efficiency of the compressor blade. The efficacy of a compressor is ascertained substantially by the smoothness of the air flowing through it. In this present work, a multi-stage axial compressor in the Turbojet engine with an application for propulsion is designed based on thermodynamic calculations. The calculations were carried out employing the principles of thermodynamics, and aerodynamics along the mean streamline based on the technique of a velocity triangle in the lack of inlet guide vanes. The coordinates for the blade profile has been calculated on and around the premise of the calibrated blade base profile. The model for the seven-stage axial flow compressors based on thermodynamic calculations was devised and analyzed utilizing computational fluid dynamics methodology. The multiple reference frame approach was used to represent the impact of both rotating and stationary components and the simulation for the first stage was conducted using a periodic approach. For the intent of the verification, a comparison was made between the analytical values and the simulated values and the variation between these values was found to be 16.7%. Validation results demonstrate that the proposed method is valid and can be used for multi-stage axial compressor design and performance evaluation.
An Efficient Data Integrity using Attribute Based Encryption for Cloud Computing System
Authors:   Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur , Andhra Pradesh, India., Samudrala* K.S.S.Trinadh , Phani Sree Potluri Sindhu ,   Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur , Andhra Pradesh, India., Karthik Chennupati ,   Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur , Andhra Pradesh, India., Vadlamudi Divya ,   Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur , Andhra Pradesh, India.
Published: January 2020

The new and efficient method determinedly concentrates on the data processing, store and access the information which will be intended to make sure the users for legal powers should get equivalent information and also will confine the normal and unofficial legal users get admittance of the information which make suitable for those mobile cloud computing. There are various parameters with assess those execution of the active Attribute-Based encryption (ABE) method over cloud computing as takes after: cipher text measure (communication cost), private key span (storage cost), public key size (“Required storage on store public key in about powers in the ABE method”), re-keying extent (the size of the rekeying message that could make used to identify the user revocation for every attributes in the ABE system), calculation expense on the information manager (required time to encrypt the information by owner), calculation cost on the user (required run time to decrypt the information by a user). Our research work effort likewise analyses the vitality of the information security in the cloud. Purpose behind picking symmetric encryption algorithms are proficient to handle encryption and decryption to substantial measure about information and powerful speed about storing information and gaining access to those information in the cloud system.
Message Transfer using Associated Matrices
Authors:   Vellore Institute of Technology, Vellore, India., Gopalakrishnan Yazhini , Yamuna* M. ,   Department of Mathematics, Vellore Institute of Technology, Vellore,
Published: January 2020

Communication is the act of sharing information, ideas and thoughts through writings and speeches. Communication has played a significant role in attaining ones freedom and rights. Communication dates back from 3200BC. In the early development messengers were employed to transfer messages. In this modern era of technology data is transferred through the use of internet. As the pattern of message transfer changes, security of the encrypted message becomes a message. New methods are developed for this purpose. This paper would focuses on the secure transfer of information using properties of vector spaces and graph theory.
Development of binary eutectic organic phase change materials for solar thermal energy storage systems
Authors:   Physics Department, Govt. Auto. Holkar Science College, Indore, India., Gupta* Anuradha , Kushwah Kamal K. ,   Applied Physics Department, Jabalpur Engineering College, Jabalpur, India., Mahobia Sujeet K. ,   Applied Physics Department, Jabalpur Engineering College, Jabalpur, India., Murty V.V.S. ,   Physics Department, Govt. Auto. Holkar Science College, Indore, India.
Published: January 2020

Solar thermal energy storage unit anchored fatty acids as Phase Change Materials (PCMs) having narrow range of transition temperature and high latent heat of fusion. In this paper, a new novel eutectic PCM was developed by using a fatty acid (acetamide) and non-paraffin organic PCM (acetanilide) for a sharp melting point and high latent heat of fusion. The optimized eutectic PCM may be used for middle temperature range solar thermal energy storage systems. The binary mixture of acetamide and acetanilide at various compositions by mass ratio (wt%) was prepared and optimized experimentally for lowest value of melting point at a eutectic mixture composition of 60 wt% of acetamide and 40 wt% of acetanilide. Eutectic PCM was analyzed by Differential Scanning Calorimetry (DSC) and Field-Emission Scanning Electron Microscopy (FE-SEM). DSC results revealed that optimized eutectic PCM has a sharp melting point of 65.37°C and high latent heat of fusion of 224.67 kJ/kg. Accelerated thermal cycle testing of optimized eutectic PCM was performed for 100 melting and freezing cycles and change in melting temperature and latent heat of fusion was acceptable.
Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints
Authors:   Associate Professor, Mechanical Engineering Dept, GMRIT, Rajam, Andhra Pradesh, India., Rao* M Vykunta , Prasad P. Devi ,   Assistant Professor, Department of Mechanical Engineering, AITAM, Tekkali, Andhra Pradesh, India., Suresh Bade Venkata ,   Assistant Professor, Mechanical Engineering Dept, GMRIT, Rajam, Andhra Pradesh, India.
Published: January 2020

Welding plays a major role in modern technology. During welding, a portion of the specimen is subjected to heating. Because of different heating and cooling cycles of the specimen, residual stresses induced in the specimen i.e., mechanical properties gets reduced. To enhance the mechanical properties there are different techniques are available i.e., thermal and non-thermal methods. Vibratory welding is the one of the non-thermal method; mechanical properties of steel specimens are analyzed under with and without vibrations under different power source condition. In this paper input parameters which are considered is straight polarity, reverse polarity and alternate current. Tensile and hardness property of the steel specimen are analyzed and compared with the without vibratory condition.
3D Motion Trajectories Recognition using Optimal Set of Geometric Primitives, Angular and Statistical Features
Authors:   Department of Mathematics, Jaypee Institute of Information Technology, Noida, India., Verma* Deval , Agarwal Himanshu ,   Department of Mathematics, Jaypee Institute of Information Technology, Noida, India., Aggarwal A. K. ,   Department of Mathematics, Jaypee Institute of Information Technology, Noida, India.
Published: January 2020

This paper presents the 3D motion trajectories (lower case 3D alphabetic characters) recognition using optimal set of geometric primitives, angular and statistical features. It has been observed that the different combinations of these features have not been used in the literature for recognition of 3D characters. The standard dataset named “CHAR3D” has been used for analysis purpose. The dataset consists of 2858 character samples and each character sample is 3 dimensional pen tip velocity trajectory. In this dataset only single pen down segmented characters have been considered. The recognition has been performed using Random Forest (RF) and multiclass support vector machine (SVM) classifier on the optimal subset of extracted features. The best obtained recognition accuracy of 83.4% has been recorded using 3D points, angular and statistical features at 10 fold cross validation using SVM classifier. Moreover, the highest recognition accuracy of 96.88% has been recorded using an optimal subset of 32 dimensional features namely, geometric primitives, angular and statistical features at 10 fold cross validation by RF classifier.