bluuebunny/crossref_metadata_2025 huggingface dataset:
Emission Constrained Economic Dispatch with PV Energy Penetration
Authors:   Assistant Professor, SASTRA Deemed to be University., Kumar* M. Manoj , Rani Dr.A.Alli ,   Professor, SASTRA Deemed to be University., Sundaravazhuthi V. ,   Asst. Prof.SASTRA Deemed to be University.
Published: October 2019

Power system planners are forced to consider the alarming rate of environmental pollution and rapiddepletion of fossil fuels andutilize renewable energy resources to mitigate the environmental effects of thermal power stations. Combined Economic Emission Dispatch(CEED)offers an effectivesolution to reducefossil fuel emissions as well ascost.Since 1985, CEED is considered to be a common optimization strategy. Literature contains lot of optimization methods for the strategy.In the recent times, using PV energy has proved to be a feasible and dependable alternative for electricity generation systems based on fossil fuels. In the developing countries, the dependency on fossil fuels has been seen as inevitable. At present,the use of renewable energy sources is rapidly increasing in inconventional power generation systems. The present paper puts forwardan approach of combining PVenergy-based grid integrated PV system with fossil fuel based thermal power plant using evolutionary programmingbased optimization technique.Among the various optimization techniques, the Particle Swarm Optimization (PSO) is considered to be the most suitable technique for the problem is explained in detailed manner.The proposed method is to combine CEED with the PV energy and thereby reduces the use of conventional energy resources.It also permits an effective utilizationof abundantlyavailable PV energy.It is tested on standard IEEE 30 bus system with the real time ratings of proposed PV plant situated in Tamilnadu.
PID Controller Design and Closed-Loop Identification with Linear Time-Invariant
Authors:   Department of Electrical Engineering, SHUATS Prayagraj,INDIA, Yadav* Ms. Anchal , Tiwari Dr. Pratibha ,   Department of Electrical Engineering, SHUATS Prayagraj ,INDIA, Kumar Dr. Anil ,   Department of Electronics and Communication Engineering, SHUATS, Prayagraj, INDIA
Published: October 2019

In this research, analysis and developed identification of closed loop system with mathematical modeling. Implemented the mathematical analysis & the process parameters by the data obtain in the closed-loop test. Tuned the closed-loop system by control system methodology and using controller. To analyzed the behavior and all parameters of closed loop system i.e. the parameters include stability, frequency, load disturbance and the system output etc. experiment the proposed work for model identification and performance of set point and load-disturbance ,controller output ,robustness, stability margins, noise measurement etc.
The Effectiveness of Science, Technology, Engineering and Mathematics (STEM) Program for Indian Students
Authors:   Ph.D Scholar, Science Teacher, Delhi Public School, Amity Institute of Education Noida (U.P), India., Chaudhary* Megha , Tiwari Gyanendra Nath ,   Ph.D Scholar, Science Teacher, Delhi Public School, Amity Institute of Education Noida (U.P), India.
Published: October 2019

This research will provide STEM practitioners with a targeted strategy for designing and integrating STEM content for students; this will enable students to develop a positive attitude towards STEM courses, thereby helping them achieve higher academic performance and improve learning efficiency. The study will also help teachers understand what to do, in order to make the STEM project more effective; will pay attention to the basic factors such as the comfort level of the students in adopting the project; the problems students encounter during the implementation of the plan; parents satisfaction and their support for the selection of the STEM program. This study will be very helpful for school administrators to choose a better STEM course so that they can be implemented in actual classroom situations.
Disambiguating the Context of the Concept Terms using Concept Hierarchies
Authors:   Department of CSE, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India., Dara* Dr. Raju , Reddy Dr. T Raghunadha ,   Dept of Information Technology, Vardhaman College of Engineering, Shamshabad, Telangana, India.
Published: October 2019

Latent Semantic Analysis (LSA) makes the machine clearly conceptualize the terms of the document by learning the context in which these terms are written. However, LSA suffers from the limitation of input data matrix size in terms of number of terms and number of documents of the considered dataset. When the size of the dataset is huge, LSA becomes inefficient towards learning the correct context and thereby is unable to produce the intended concepts by the machine. To overcome this problem, Context Disambiguation (ConDis) ontology is engineered for a domain which has the capability of evolving itself based on automatic learning of concepts and relations from the ever scaling documents over the web. The concept hierarchies from general to specific concepts combined with corresponding object relations specify the particular context for a term. These object relations based concept hierarchies clearly help disambiguate the context of the concept terms in an effective manner.
Melanoma Segmentation and Classification using Deep Learning
Authors:   Research Scholar,Department of Computer Science, Periyar University,Salem-7, Tamil Nadu, India., Seeja* R. D. , Suresh Dr. A ,   Principal, Siri PSG Arts and Science College for women, Sankagiri, Salem-637301.,Tamil Nadu,India.
Published: October 2019

Melanoma is the most destructive form of skin cancer. Early diagnosis of melanoma can be curable. At the same time accurate diagnosis is very essential because of the similarities of melanoma and benign lesions. Hence computerized recognition approaches are highly demanded for dermoscopy images. The main purpose of this research is to develop an automatic system to improve the classification performance of melanoma.The effectiveness of this framework is evaluated on ISBI 2016 Skin Lesion Analysis towards Melanoma Detection Challenge dataset. Initially deep learning based U-Net algorithm is used to segment the lesion region from the nearby healthy skin and then extract discriminate features with the help of Convolutional Neural Network. VGG16 Net algorithm is used to classify every lesion in a dermoscopic image as a Benign or Melanoma. Results are found from classification with and without segmented images. Classification with segmented images produces accuracy of 83.18%, Sensitivity of 95.53%, and specificity of 96.22%. Based on these values the deep learning based classification with segmented images produces better result and it helps to improve the diagnosis performance. The proposed method would constitute a valuable support for physicians in every day clinical practice.
Time-Frequency Techniques in Wrist Pulse Signals
Authors:   Department of Electronics and Communication, University Institute of Engineering and Technology (UIET), Panjab University (PU), Chandigarh, India., Garg* Nidhi , Babbar Nikita ,   Department of Electronics and Communication, University Institute of Engineering and Technology (UIET), Panjab University (PU), Chandigarh, India.
Published: October 2019

Wrist pulse signal has been the traditional way of diagnosing human health in India. It is a low frequency, non-stationary signal. There are broadly three techniques of analyzing a signal – time, frequency and time-frequency domain. The individual time and frequency domain representations of the signal do not provide much information on properties of a non-stationary signal. However, the time-frequency distributions of a non-stationary signal overcome these problems and provide more information about the pulse signal. This paper presents the various time-frequency distribution techniques for analyzing non-stationary wrist pulse signals .
The Great Patriotic War of 1941 and the Soviet Man: A Kafkaesque Expression of Soviet Ideology in Andrey Kurkov’s The Bickford Fuse
Authors:   PG Student, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India., Fernandez* Haritha , R S Anusudha ,   Assistant Professor, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham , Amritapuri Campus, Kollam, Kerala, India.
Published: October 2019

Andrey Kurkov, in The Bickford Fuse, opens up an uncanny nightmarish world embroiled in war that ravaged it for years on end, making it nothing short of an episode taken right out of a Kafka novel. Kurkov’s narrative mode does not stray much from the Kafkaesque realm when he employs techniques such as psychological explorations, surrealism, dream sequences and nihilism to tell the story of the wandering Soviet man in the days of the former Secretary of the Communist Party of the Soviet Union, Nikita Khrushchev. The Soviet man represents the distraught Soviet population who was ambushed by the Great Patriotic war of 1941and the disillusionment and nihilism it brought with it. The minds of multiple personae in the novel reveal a struggle between the forces of Thanatos and Eros and a psychological oppression unleashed by the Great Patriotic War. This study chronicles the transformation of the Soviet mentality and the failure of the socialist ideology, through the parallel journeys of Kharitonov, the searchlight operators, Andrey and the occupant of the airship, who stands for Nikita Khrushchev. This paper also aims to establish that surrealism is employed to give voice to the unconscious mind of the Soviet man as in the works of Kafka. The objective of this study will be to probe the Kafkaesque elements in the novel which encodes in it the myriad faces of the Soviet man of Khrushchev’s days.
Exit interview -A Competency based Practice for Employee Retention
Authors:   Research Scholar, Dept. of Management Science, Jawaharlal Nehru Technological University-Anantapur, India,, Khan* P Hameem , Sgultana Dr. Aliya ,   Associate Professor, RGMCET-Nandyal, India, Reddy Dr. T Narayana ,   Associate Professor, Dept. of Management Studies, Jawaharlal Nehru Technological University-Anantapur, India
Published: October 2019

Employee Retention is an imperative proportion of the strength of an organisation. HR department should execute remedial programs on turnover administration: the gathering and examination of information on turnover patterns, identification of turnover factors through formal exit interviews, and usage of remedial activities which address the primary driver of turnover. This research paper centers on the Exit Interview as a competency based tool for archiving employee turnover data. Exit interviews help in changing organisational policies towards retention. This study has been carried out at HCL technologies Hyderabad. Samples are collected from middle level employees through a structured questionnaire. Hypothesis was tested by using Chi-square and ANOVA. It has been proved that exit interview has significant impact on employee retention and it controls annual employee turnover.
A Simulation-Based Model for Determining Safety Inventory at a Fixed-time Period System
Authors:   Senior Production Engineer, Bosch Vietnam Co Ltd., Kien* Le Tran Trung , Ma’aram Azanizawati ,   Senior Lecturer, Faculty of Engineering, School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM)., Helmi Syed Ahmad ,   Faculty Member, Faculty of Engineering, Universiti Teknologi Malaysia., Abdul Kadir Aini Zuhra ,   Senior Lecturer, Faculty of Engineering, School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM).
Published: October 2019

This paper develops a simulation model for determining safety inventory associated with a certain value of cycle service level in a fixed-time period system. The model takes into account actual amount of materials received from suppliers, and deviation from probability distribution of daily forecast demand. Constraints on order size are also embodied into the model. This model was constructed by using Visual Basic Application added in Microsoft Excel. After developing the model, hypotheses testing is employed to verify the model. This model allows identifying safety inventory under uncertain conditions which prohibits from the use of ordinary mathematical formula. The model was locally verified. Stochastic variables including customer demand and supplier’s lead time are assumed to be normally distributed. Independent demand items are considered and backorders are not allowed. Under specific conditions, such as distributions of demand and lead time are normally distributed, and fixed-time period system is being used. This model allows materials planner promptly identifies safety inventory associated with a certain level of cycle service level. Furthermore, planner can perceive the affects of changing input parameters on the amount of safety inventory required. There were very few researches focus on variations of demand and lead time at the same time. In reality, this case usually happens, thus the firms have been facing highly variations form both supplier and customers. Therefore, this paper intends to close this gap by simulating these factors and taken into account for determining safety inventory.
Statistical Relationship between Acceptance Rate and First Decision Time of Some Indexed Journals: A Correlation-Regression Technique
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India., Kumar* Pavan , Sridhar W. ,   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh , India.
Published: October 2019

In this paper, we propose a correlation-regression approach to establish a statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Karl Pearson correlation coefficient (CC) value is also calculated. All this analysis demonstrates that there is a moderate positive correlation between acceptance rate & first decision time.
SARIMA Modelling for Forecasting the Electricity Consumption of a Health Care Building
Authors:   Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India, Kaur* Harveen , Ahuja Sachin ,   Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
Published: October 2019

Healthcare buildings have an immense demand for electricity, because of which they exhibit distinctive ability for forecasting of electricity consumption. In this work, ability for forecasting electricity consumption of a large healthcare building was researched. Both the techniques change non-stationary data into stationary data to make an effective and simple data representation and removing of noise subspaces. The comparison of experimental results is done among the SARIMA and ARIMA models. Analysis of the results concludes that performance of SARIMA is better when compared to ARIMA model. The analysis of data from 11 years in the hospital demonstrates that these dynamic models are sufficiently adaptable to forecast the electricity consumption at required accuracy levels.
Epidemiology of Sarcoidosis in the Precarpathian region of Ukraine
Authors:   Department of Phtisiology and Pulmonology with the course of occupational diseases, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine., Ostrovskyy Mykola M. , Savelikhina* Iryna O. ,   Department of Phtisiology and Pulmonology with the course of occupational diseases, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine, Varunkiv Oleksandr I. ,   Department of Phtisiology and Pulmonology with the course of occupational diseases, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine., Shvets Kostiantyn V. ,   Department of Phtisiology and Pulmonology with the course of occupational diseases, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine., Ostrovska Kseniia M. ,   Department of Phtisiology and Pulmonology with the course of occupational diseases, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Published: October 2019

Despite considerable advances in modern medicine, it must be admitted that sarcoidosis is still a disease with unknown etiology, hardly predictable clinical course and, as a result, it is characterized by a variety of diagnostic and therapeutic approaches to patient management. We have studied the morbidity and prevalence rates of sarcoidosis of respiratory organs in Precarpathian region for a 5-year period on the basis of information provided by district and city pulmonologists, phthisiologists and general practitioners for the period of 2011-2015. The incidence of sarcoidosis in Precarpathian region is on average 2.8 new cases per 100 thousand adults per year, which exceeds the corresponding indices not only in the southern (1.1 per 100 thousand adults), but also in the northern (2.6 per 100 thousand) regions of Ukraine. The prevalence of active sarcoidosis reaches 5.0 cases per 100,000 people; the disease incidence in the north of the region is 1.5 times higher as compared with the southern regions. In the territories with increased man-made load the mortality rate is 2.5 times higher than the average index registered in the region, while the prevalence rate is 1.9 times higher, correspondingly. Summing up the results of the study it may be concluded that sarcoidosis has long ceased to be a rare disease and the morbidity and prevalence rates of this ailment depend on geographical and environmental factors.
Chemical Resistance of Nano Silica Added Concrete
Authors:   Research scholar, Department of Technology, Savitribai Phule Pune University, India., Babalu* Rajput , Sunil Pimplikar ,   Research guide, Department of Technology, Savitribai Phule Pune University, India.
Published: October 2019

This study investigated the effects of nano silica on acid and sulphate resistance of concrete. The changes in mass and compressive strength of the concrete specimens for different immersion periods were determined. It was observed that, M 30 grade concrete produced with 0 %, 1 %, 2 %, 3 % nano silica have shown mass loss of 11.24 %, 9.01 %, 5.10 % and 3.59 % respectively at 56 days of immersion in acid solution. M 40 grade concrete produced with 0 %, 1 %, 2 %, 3 % nano silica have shown mass loss of 9.36 %, 8.71 %, 4.98 % and 3.56 % respectively at 56 days of immersion in acid solution. M 30 grade concrete produced with 0 %, 1 %, 2 %, 3 % nano silica have shown mass loss of 2 %, 1.55 %, 1.26 % and 0.91 % respectively at 56 days of immersion in sulphate solution. M 40 grade concrete produced with 0 %, 1 %, 2 %, 3 % nano silica have shown mass loss of 1.63 %, 0.82 %, 0.43 % and 0.29 % respectively at 56 days of immersion in sulphate solution. Similarly, the reduction in compressive strength after immersion in acid and sulphate solution was observed with the addition of nano silica. Among the two chemical environments, sulfuric acid was found to be most dangerous for all concrete mixes. Concrete mixes produced with nano silica showed superior durability.
Implementation of Digital Signal Processing for Monitoring Plant Health
Authors:   Department of Biotechnology, Noida Institute of Engineering and Technology., Mishra* Dr. Rashmi , Chaudhary Surya Deo ,   Electronics and Communication Engineering, Noida Institute of Engineering and Technology., Tyagi Pankaj ,   Department of Biotechnology, Noida Institute of Engineering and Technology.
Published: October 2019

the diseases of plants is one of the major reason behind the reduction in the amount and quality of agricultural productivity. Great difficulties are encountered by farmers for the control and diagnosis of diseases of plants. Thus it becomes crucial to detect the diseases of plants during the initial stages for the suitable and timely action in order to avoid further losses. The approach of image processing is followed for detecting the diseases of cashew plants in this project. The image of leaf is uploaded on the system for the identification of cashew disease. A set of algorithms are used in a system for the identification of type of disease. The several processing steps are followed at the image given as input for the detection of disease and results are displayed to the user via android application.
CFD-subset-FVM-based MATLAB-simulation of Heat Transfer in High Grade Cold Storage Augmenting Cryogenic Energy Storage System by Circulating Natural Gas as Working Fluid
Authors:   School of Basic and Advanced Sciences, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Chennai, Tamil Nadu, INDIA, Raj* A. Kanni
Published: October 2019

Cryogenic Energy Storage (CES) improves power grid application with renewable intermittent power sources. In CES, off-peak excess electricity liquefies air or natural gas. Cryogenic fluid so obtained is stored in large Dewar tanks for long periods of time. Whenever electricity need is in peak, work available in cryogen is recovered by thermodynamic cycle using hot storage waste heat (HSWH) that has been generated by liquefier’s compressor. Many researchers focus on liquid air energy storage (LAES). But, natural gas (NG) is good working substance for CES liquefaction process. This paper reviews NG-CES containing high grade cold storage (HGCS). Cold stored HGCS is utilized to raise CES efficiency and hike liquefier yield. This paper models HGCS unit and compares output with experimental data. Impact of cold recycling is analyzed for liquefier yield and storage efficiency.
LBCSM: Load Balanced Constant Scheduling Model for Node Recharging in Wireless Rechargeable Sensor Networks using Multiple Mobile Charging Devices
Authors:   Professor / CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, Sakthidharan* Dr. G. R. , Saravanan Dr.P. ,   Associate Professor/CSE, S.R.M University, New Delhi, India., Sekhar Reddy Dr. P. Chandra ,   Professor / CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, Saravanan Dr. V. ,   Associate Professor/CSE, K.L. University, Vaddeswaram, India
Published: October 2019

In large-scale Wireless Rechargeable Sensor Networks (WRSNs), limited battery capacity of nodes may reduce the network longevity. For enhancing the network lifetime, the nodes in the network can recharged periodically based on their operational executions. The rechargeable sensor nodes in the network are replenished using external sources. Using single charging device can be feasible only for small scale WSNs, whereas in managing large scale wireless sensor networks, multiple charging devices are to be modelled for efficiently recharging the sensor nodes, since single devices are having energy constraints to recharge more number of nodes. On focussing those issues, this paper contributes on developing a new model called Load Balanced Constant Scheduling (LBCS) for the replenishment of the sensor nodes. Moreover, multiple Mobile Charging Devices (MCDs) are used here for recharging the sensor nodes effectively, without facing resource limitations. In this model, constant and time based charge scheduling approach and charging route for MCD has been frame optimally. The scheduling mode focuses on a concrete classification procedure for avoiding needless visits of nodes having adequate energy. Providing further improvement in schedule based node replenishment, algorithm for Charging Route Definition (CRD) is also developed in this work. For evidencing the efficiency of the proposed model, the work is simulated and evaluated. The simulation results are compared with some existing models based on the network lifetime, time taken for recharge and efficiency.
Smart Machine for Crack Detection of Railway Track using Photodiode Assembly
Authors:   Mechanical Engineering, Rabindranath Tagore University, Bhopal., Narayan* Dr. Lalit , Pandit Ankit ,   Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal., Singh Amrish Kumar ,   Department of Electronics & Communication Engineering, Rabindranath Tagore University, Bhopal.
Published: October 2019

Most of the commercial goods are transported using railway trains and therefore, any problem in above network has the capacity to incur damage to the economy of that country. This model illustrates a cost effective yet robust solution to the issues related to railway crack detection. The project discusses the technical and design aspects in details alongside a better crack detection algorithm. The model also presents data related to all the components used in this system. The currently prevailing solution in the detection of cracks in rails involve periodic maintenance connected to occasional monitoring method like visual inspection, ultrasonic inspection, eddy current and laser methods.
Resource Allocation and Outage Performance in OFDMA based Cooperative Cognitive Radio Network for Downlink in Underlay Mode
Authors:   Assistant Professor in Lokmanya Tilak College of Engg, University of Mumbai and currently working toward her PhD degree in SNDT University, Mumbai., Sawant* Rupali , Nema Dr. Shikha ,   Professor and HOD in Electronics and Communication Department at Usha Mittal Institute of Technology, (UMIT) SNDT University Mumbai.
Published: October 2019

Efficient resource allocation is an important process in any network to improve the capacity of a system. In cognitive radio network the resources are shared among licensed & unlicensed users. User is said to be in outage if it does not get required number of resources hence performance of the system gets affected. In this paper the outage probability in orthogonal frequency division multiple access (OFDMA) based cooperative cognitive radio network (CCRN) system is computed. Due to random user position different users require different number of resources. To determine this it is necessary to know the signal to interference ratio (SIR) experienced by the user. First we determine characteristic of interference to signal power ratio by using method of moments. Once the interference to signal power ratio is characterized, user is allocated a class number. Class number gives the number of subcarriers required by a user. For analysis purpose we use downlink in underlay mode with log normal shadowing and path loss exponent. This analysis helps in allocation of resources to the user depending on SIR experienced and outage behavior irrespective of user’s position.
A Binary Feedback Schemes for Detecting Failure of Node in Mobile Wireless Network
Authors:   pursuing M.Tech(CSE), Narasaraopet Engineering College, Narasaraopeta, AP – 522601, India., Priyanka* P.Naga , Nadh Dr.K.Lakshmi ,   Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India., Rao Dr. S.Siva Nageswara ,   Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India.
Published: October 2019

The network topology of association was always active but the association between them may not be always connected and properties are restricted. On the time there is a chance of node failures and detecting the node failure is important. Two node failure detection schemes are implemented which are binary and non-binary feedback schemes. These schemes unite locality estimation, localized monitoring and node association. These results are applicable to both attached and detached networks. The schemes accomplish high disappointment discovery rates, low forged positive rates, and low correspondence overhead.
Reinforcing Students’ Mathematical Skills through Cooperative Learning Strategy
Authors:   College of Teacher Education, Cagayan State University, Lal-lo, Cagayan, Philippines, Columbano* Mia Q.
Published: October 2019

Cooperative learning is an educational approach which aims to organize classroom activities into academic and social learning experiences (Gillies, 2016). There is much more to cooperative learning than merely arranging students into groups, and it has been described as "structuring positive interdependence. Students must work in groups to complete tasks collectively toward academic goals. Unlike individual learning, which can be competitive in nature, students learning cooperatively can capitalize on one another's resources and skills, asking one another for information, evaluating one another's ideas, and monitoring one another's work, (Chiu, 2008). This study aims to find out how cooperative learning through structured and unstructured grouping schemes compare in terms of their effectiveness in reinforcing students’ Mathematics achievement and the difficulties encountered by the students in both structured and unstructured groups. The one-shot quasi-experimental research design specifically the pre-posttest design was employed in the study. Participants of this study were the first year students of the College of Teacher Education of Cagayan State University. Descriptive and inferential statistics like frequency count, percentage, mean and t-test for dependent and independent samples were used to interpret the data. The integration of cooperative learning strategy, either structured or unstructured grouping schemes reinforce the performance of students in Mathematics. However, cooperative learning has far better results when unstructured grouping scheme is employed among students. Since the students find difficulty on simplifying expressions with rational exponents to radicals, composition of functions, solving linear and quadratic equations and solving word problems on linear and quadratic equations; intervention measures such as modular approach in teaching, simulation activities and remedial teaching were suggested to address such difficulties and to enhance the performance of the students in Mathematics particularly in College Algebra.
Road Construction by using Rolled Compacted Concrete
Authors:   Musa,,Ph.D. Students, Civil Engineering Department/ Near East University/ North Cyprus, Nicosia, Via Mersin 10, Turkey., Musa* Muhammad Khidre , Nassrullah Hazar M. ,   Master Students, Civil Engineering Department/ Near East University/ North Cyprus, Nicosia, Via Mersin 10, Turkey.
Published: October 2019

Rolled compacted concrete (RCC) is important of newly technique in construction of pavement. that can be employed in low traffic or high trafficked roads. Due to its inexpensive, quick creation , durable and low maintenance RCC is becoming more commonly gradually . If the UHPC compared to normal concrete has some privilege such as plenty stability and supreme permanence however the utilization of it is restricted owing to its expensiveness and minimal cods for design.. Its constancy leads to its stay persistent when subjected to vibratory compacter, since it has sufficient wetting so it causes permit enough mixing and repartition of paste without segregation. Fly ash, silica fume and some admixture can be utilized to concrete to decrease the quantity of water cand generate high arid mixture.
Computerized Face Detection and Tracking
Authors:   CSE, Koneru Lakshmaiah Education Foundation, Guntur, India., Krishna* Azmira , basha Zeelan ,   CSE, Koneru Lakshmaiah Education Foundation, Guntur, India., Karimunnisa Syed ,   CSE, Koneru Lakshmaiah Education Foundation, Guntur, India.
Published: October 2019

Item revelation has been an unprecedented test from the past couple of years. In PC vision human face area is a basic research topic. It is required for some PC applications like HCI, perception, human-robot joint effort, etc. In this field facial following is finding greater advancement of use in security and prosperity applications to recognize distinctive situations1 . This following zone can be used to control or talk with robots. Perceiving human faces in a video is a fantastic testing issue. These setups may take after edge of view, establishment control, and diverse edifications. This is a result of high variety of setups that may occur. The multifaceted idea of the face results in a particular dimension of issue for speedy area and following. In this paper we use two philosophies for recognizing a face and track it always. In a general sense video groupings give a larger number of information than a still picture. It is reliably a testing undertaking to pursue a target thing in a live video. We experience challenges like edification; present assortment and hindrance in pre-planning stages. In any case, this is can be overpowered by disclosure of the target article unendingly in each and every edge. Face following by Kanade Lucas Tomasi computation that is used to pursue face reliant on arranged features.Automatic face detection and tracking is a challenging part and here the proposed method is improvised on that.
Empirical Modeling of Urea Synthesis Chemical Equilibria
Authors:   Professor of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt., Soliman* Moustafa Aly
Published: October 2019

In this paper empirical formulas for the chemical equilibrium of reactions involved in urea synthesis are derived. Their accuracy is checked against data obtained from the application of Aspen plus to a urea plant based on Stamicarbon technology. The accurate results obtained support their application in the simulation of the reactions involved in urea synthesis.
Classification of Healthy and Rot Leaves of Apple Using Gradient Boosting and Support Vector Classifier
Authors:   Student, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India, Aravind K.R.N.V.V.D. , Shyry S.Prayla ,   Professor, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India, Felix Yovan ,   Asst. Professor, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India
Published: October 2019

Conventional Techniques Such As Convolutional Neural Network (Cnn), Deep Neural Network Have Shown Its Own Footprints In The Field Of Image Classification With Promising Results. In The Past Decades, Classification Of Images Has Been Done With Varying Features Like Shape, Texture Etc. In This Paper, A Novel Approach Is Used To Classify The Leaf Images And Determine The Health And The Diseased Leaf. The Image Is Preprocessed By Extracting The Shape Feature And Classified The Leaves Of Apple As Healthy And Diseased (Rot Leaves) Using Two Novel Effective Approaches Gradient Boosting And Support Vector Classifier. We Have Collected 1813 Images Of Apple Leaves As Dataset And Out Of These, 70% Of The Data Is Used To Train And Remaining 30% Is Used To Test The Data. Our Algorithm Has Outperformed Other Traditional Techniques With Good Scale Of Accuracy(Gradient Boosting-87%, Support Vector Classifier-91%). Strong Comparison Of Both Gradient Boosting And Support Vector Is Made And There Is Dominant Show Off Of The Confusion Matrix. Classification Of Healthy And Diseased Leaf Well In Advance Gives Nice Warning To The Producer Thereby Decreasing The Rate Of Diseased.
Accountant Modeling Technology and Statistics in the Context of the New Educational Concept
Authors:   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Petrov* A.M. , Putihin Y.E. ,   PhD, associate professor, Head of the Department of Economics and Finance, Director of the St. Petersburg Branch of the Financial University under the Government of the Russian Federation, St. Petersburg, Russia, Poluleh M.V. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Yurasova I.O. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Erohina V.N. ,   Ph.D., associate professor of the Department of Economics of the Kaluzhsky Branch of the Financial University under the Government of the Russian Federation, Kaluga, Russia
Published: October 2019

Clear economic activity management is one of the most essential aspects of any company’s stable financial standing under contemporary conditions. Economic activity management at a company is impossible without an in-depth and detailed study of all the processes related to it on the basis of the highly professional activity of accountants. This article addresses the issues of the new educational concept.
Conceptualizing Artificial Intelligence through Alternate Neo-Planetary Models in the Science Fiction of Dan Simmons.
Authors:   Research Scholar, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India, Narayanan* S Ambadi , Nair Dr. Beena S ,   Assistant Professor (Sr. Grade), Department of English, Amrita School of Arts and Sciences , Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India.
Published: October 2019

The technological competence of a nation is confirmed by the number of successful space expeditions. Science Fiction from the early 1900s has dealt with the idea of living in conceptual spaces. This paper deals with select works of Dan Simmons including four prize-winning Science Fiction novels which are usually referred to as the Hyperion (1989), The Fall of Hyperion (1989), Endymion (1996), The Rise of Endymion (1989). In modern Techno-Fiction, the mind of the man and the scientific innovation of the machine have been harmoniously brought into existence as Cyborgs through Artificial Intelligence. The life expectancy and the available technical manifestations would seem scarce to get into a feasible interface of enhanced human beings and mechanical efficiency to accelerate the voyage into an anticipated future. This study further examines the ways in which the incredible complexity of the Cybernetic self has been portrayed in the works of Simmons. The principle aim of this proposed paper is to understand the context of the technological forces unbridled in the man-machine interface and how it has been constitutive of bringing up a new social order. It further analyses how symbolic, social spaces can be experienced adversely by multiple Man-Machine synthesis - mutant beings and clones during the planetary invasions. It is unnatural of a Cyborg to think politically or materialistically, as the functioning would be predominantly based on the commands received from its Artificial Intelligence led consciousness. Moreover, Cybernetics would be an exploration into the formidable secrets, the realm of decrypting ciphers and interpreting codes and cryptograms. Furthermore, embracing the possibilities without a foresight into the Man-Machine synthesis, might lead the whole humanity into a catastrophe depicted by Simmons.
Optimisation of Cutting Parameters for Minimal Surface Roughness in Single Point Diamond Turning of TI6AL4VELI
Authors:   present, pursuing Master of Engineering (Manufacturing Technology) from NITTTR, Chandigarh., Chandra* Nitish , Dhami Dr. Sukhdeep Singh ,   Professor and Head of the Department in Mechanical Engineering at the NITTTR-Chandigarh.
Published: October 2019

In this study the effect and optimisation of machining parameters on surface roughness in a facing operation of Ti6Al4VELI by single point diamond machining have been investigated. The experimental studies carried under varying cutting speeds, feed rates, different tool nose radius and depths of cut. The orthogonal array, signal-to-noise ratio (S / N) and variance analysis (ANOVA) were used to examine the performance characteristics of the Ti6Al4VELI alloy turning by using single-point diamond cutting tool. The influential factors on the surface roughness after machining are feed rate and cutting speed after the conclusions revealed. Whereas the feed rate had the most significant effect on tool life. Minimal surface roughness achieved after machining is in nano-level which is better than other conventional precision machining.
Irrigation in Hilly Areas by Capillary Lift
Authors:   School of Engineering, G.D. Goenka University, Gurgaon- Haryana, India., Dangwal* Kiran Kumar , Aggarwal Manju ,   School of Engineering, G.D. Goenka University, Gurgaon- Haryana , India.
Published: October 2019

Water can rise through a capillary up to a height of 34 feet (10 m) due to barometric pressure. This phenomenon occurs due to intermolecular cohesion, adhesion and surface tension. This characteristic can be suitably employed by using a bunch of capillaries tied together to lift large quantity of water. The problem is how to tap this water at the upper end as the same will not discharge on its own. This can be achieved by using a overhang of porous materials like sponge, cotton, carbon fibre, pumice stone etc. The extracted water can be collected in a tank at the upper end. By repeating the system at multiple levels, water can be lifted to any height without using any motor or pump. After considering the evaporation losses, this water can be utilised for irrigation purposes in the hills. This can also be directly fed to the roots of the plants by sheer capillary action.
Compact QCA based JK Flip-Flop for Digital System
Authors:   Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India., B.S.* Dr. Premananda , S. Soundarya ,   Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India., Dechamma K.S. Chaitra ,   Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India.
Published: October 2019

Considering the roadmap of silicon, the high rate of shrinkage in dimensions of typical MOS circuits, genuine difficulties endanger this innovation. A quantum-dot cellular automaton (QCA) is an outstanding and conceivable answer for substitution of CMOS technology. Sequential circuits contain combinational circuits and memory elements which store binary information. Latches and Flip-flop circuits are the basic components of computerized circuits, along these lines. The area and energy of the sequential circuits has to be minimal for speed applications. Traditional implementation of JK flip-flop circuits requires more cells and consumes more energy. This paper proposes a compact and low energy JK Flip-flop, designed in CAD tool, QCADesigner. Analysis of energy was performed using the CAD tool, QCADesigner-E. The experimental results obtained in the proposed paper demonstrate the reduction in the cell count which in turn brings down the complexity of the circuit when compared to the reference QCA based JK Flip-flop circuits and it also shows a reduction in energy and area.
Characterization of the Physicochemical Property of Blend of Butanol and Octanol with Biodiesel
Authors:   Casrae ,Delhi Technological University, Delhi, India,, Sinha* Sunil Kumar , Kumar Naveen ,   Casrae, Delhi Technological University, Delhi, India., Kumar Rajesh ,   Mech. Deptt. Delhi Technological University, Delhi, India.
Published: October 2019

Energy is the major concern around the world not because it is limited availability of petroleum fuel but also due to its environmental effects, greenhouse gas emissions and ozone layer depletion. The compression ignition engine widely used in the agriculture, transportation, electric generation sector which mainly driven by fossil diesel. To counter the cause produce by fossil diesel use and its limited resources, bio-derived fuel may play a major role to fulfill the requirement. But, it has been observed that higher viscosity of biodiesel leads to poor atomization and improper mixing of fuel with air. The poor Combustion, higher viscosity, higher emission of NOx, low break thermal efficiency of biodiesel, the high cost of production are the main impediment in the preferment of the use of bio-diesel. To mitigate the problem of use of biodiesel blending of higher alcohol in biodiesel may offer a potential solution. Hence in this study Jatropha biodiesel has been blended with n-butanol and n-octanol alcohol by volume 10%, 20%, and 30%. i.e. JME90B10, JME80B20, JME70B30, JME90O10, JME80O20, JME70O30 and evaluate the physicochemical properties i.e. Kinematic viscosity, calorific value, cetane index, cold flow property and oxygen stability as per ASTM standard and compare with diesel and biodiesel. However, blends have a higher viscosity than diesel. But this fuel is bio-degradable in nature, help to diminish carbon footprint and has low emission outlines as compared to petroleum diesel. Usage of a combination of bio-fuel will allow a balance to be sought between agriculture, industrialization, transportation and the environment. GC-MS analysis of JME show 29.64% saturated acid and 69.25% of mono unsaturated acid. The properties of biodiesel depend upon the variation of acid percentage. Overall property of blend comparable with fossil diesel it may substitute the diesel.
3186 Retrieval Number: L3125081219/2019©BEIESP DOI: 10.35940/ijitee.L3125.1081219 Journal Website: www.ijitee.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Issues and Challenges on Social Networking Applications
Authors:   Research scholar, Anna University, Chennai, Tamilnadu, India, Kanagavalli* Mrs.N. , Priya Dr..S.Bhagavathi ,   Professor, Department of IT, Rajalakshmi Engineering College, Chennai,Tamilnadu
Published: October 2019

Social media is the collective of online communications channels dedicated to community-based input, interaction, content-sharing and collaboration. Reduce the challenges of social networking applications has lifted the research and industrial attention towards the growth of social media development. Web and Mobile based internet applications that allow the creation, access & exchange of user generated content that is available on all the places. Examples of social media are Facebook, Twitter, Google+, Wikipedia, Linkedin, pinterest. In this paper discusses only in detail about the main issues and challenges in social media application, and also discuss about social networking applications.
Nonlinear Behaviour of Vertically Irregular Structures using Shearwall
Authors:   Master of Technology in structural engineering, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medchal Dist-TS, India., Azharuddin* Mohd , Vimala Dr. A. ,   Professor, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medchal Dist-TS, India.
Published: October 2019

The objective of the present study is to compare the performance of G+11 multi-storied building. For this purpose five different models of regular, single step vertically irregular, dual step vertically irregular building with and without shear walls are considered. Two different cases of aspect ratio in the geometric irregular frames are considered. In the first case, single step vertically irregular structure with and without shearwall at an aspect ratio(A/L) of 0.28 after third storey in x and y-direction. In second case, dual step vertically irregular structure with and without shearwall at an aspect ratio(A/L) of 0.57 after sixth storey in x and y-direction. In addition to that, the study includes the failure criteria in formation of hinges and behavior of formation of hinges in different structures strengthened with shearwall. In this study Nonlinear static pushover analyses are conducted to study and analyze the structure. The buildings are modeled using ETABS 2017 software and seismic loads are calculated as per IS: 1893-2002(Part-1).