bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH GAYA KEPEMIMPINANDEMOKRATIS DAN MOTIVASI TERHADAP KINERJA KARYAWAN PT.PANIN BANK CABANG ATMO PALEMBANG
Authors: Kesuma Bronto , Syamsuddin Harun
Published: August 2019

This study aims to determine the effects of leadership style and motivation on Employee Performance PT. Panin Bank Cabang Atmo Palembang, either simultaneously or partialy. The hypothesis purpose It is suspected that there is an influence between the Democratic leadership style on the Employee Performance of PT. Panin Bank Atmo Branch Palembang. Allegedly there is an influence between Motivation on Employee Performance of PT. Panin Bank Atmo Branch Palembang. It is suspected that there is an influence between the Style of Democratic Leadership and Motivation simultaneously on the Employee Performance of PT. Panin Bank Atmo Branch Palembang. The study population was all employees of PT. Panin Bank Cabang Atmo Palembang which totaled 30 people, the study sample using sampling satured with details of the sample to be tested instrumen and sample data analysis by 37 respondens. From the discussion that has been described, then conclusions can be drawn as follows; The results of testing the research hypothesis there is an effect of Motivation on the Performance of employees of PT.Panin Bank Branch Atmo Palembang, the results of testing the hypothesis that there is no influence of the Democratic leadership style on the performance of employees of PT. Panin Bank Atmo Branch Palembang, and the results of testing the hypothesis that there is an influence between democratic leadership style and motivation together on the performance of employees of PT. Panin Bank Atmo Branch Palembang.Keywords: Style of Democratic Leadership, Motivation and Performance
KEPEMIMPINAN, KOMPETENSI DAN KINERJA PENGARUHNYA TERHADAP PENGEMBANGAN KARIR APARATUR DI KOTA PALEMBANG
Authors: Dewi Atika , Zamzam Fakhry
Published: August 2019

This research discussed Leadership, Competence and Performance on civil servantsâ€™ Career Development in Palembang City. With the aim of whether or not there was an influence of Leadership, Competence and Performance on civil servantsâ€™ Career Development in Palembang City. The population used in this research was Civil Servants (ASN) at the Secretariat Staff in the Government of Palembang City. The sample in this research was 100 respondents. The data analysis technique used was Structural Equation Modeling (SEM). The results of test proved that: 1). Partially the results revealed that there was a significant and positive influence between Leadership, Competence and Performance on civil servantsâ€™Career Development in the City of Palembang.2). Simultaneously Career Development was influenced positively and significantly by the Leadership variable, Competence and Performance.Keywords:leadership, competence, performance, civil servantsâ€™ career development, Palembang city.
Measuring GDP and Economic Growth: An Economic Barometer
Authors: Tarun Mohanty Alpa
Published: August 2019

This essay based on Michaele Parkin, Macroeconomics, 8th edition. Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced in a period of time, often annually. GDP (nominal) per capita does not, however, reflect differences in the cost of living and the inflation rates of the countries; therefore, using a basis of GDP per capita at purchasing power parity (PPP) is arguably more useful when comparing differences in living standards between nations.
An Overview on Macroeconomics: Ideas, Approaches and Importance
Authors: Tsai Fai
Published: August 2019

This article includes various topics related macroeconomics. In the beginning the nature of macroeconomics are described. Then the article turns describing many terms of this macroeconomics. The utility of macroeconomics will be explained in this article. Besides; scope of macroeconomics are also described in this article. The practical appliance of this Part of economics are described here.
The Impact or Role of Business in Economics
Authors: MacDonnell Sara
Published: August 2019

Here I will try to represent basic ideas about economics. The differences between organizations of different kinds will be explained. Different kinds of businesses are presented here. Our moral responsibilities and regulation of forming business here will be focused. Besides, the influences of government will be explained. I will give distinct ideas about the business and referring economics.
Exploiting the Interdependence of Electrocardiography (ECG) with Other Physiological Parameters of Human Body in Remote Monitoring System
Authors:   Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India., K Revathi , A Samydurai ,   Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India.
Published: August 2019

Human body holds physiological parameters like heart rate (HR), respiration rate (RR), temperature, blood glucose level and blood pressure (BP) that indicates the health state. Monitoring these vital signs detect early signs of significant diseases like cardio-vascular and pulmonary which increase the death ratio as 70% of global death and in India it was attributed to 61% as per World Health Organization (WHO) report. With advancement in modern technologies health monitoring is achievable without affecting their regular activities and by making people to be at anywhere, not to be in hospital for long stay. In this paper the relevance between electrocardiography (ECG) and remaining other physiological measures is highlighted which will be incorporated in the design of health monitoring device in near future by revealing its complexity and ensures the high comfortability in accessing the device.
Architecture Evaluation of Mobile Application: Whatsapp
Authors:   Assistant Professor, Research Scholar, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Cyrilraj, Dr. M. G. R. Educational and Research Institute, Begum Almas
Published: August 2019

Software become an unavoidable in every once life. Quality of the software is an import aspect in the software development life cycle. Quality for a software is represented in terms of functional and non-functional requirement. Software architecture is used to represent the using set of components and is connectivity as a relationship between these components. To assure the development process meet the requirement given by the user, the Software Evaluation is used. Early detection of error protect the software development producing the defect software. ATAM is the one of the method used to detect the risk, non-risk, scenarios and tradeoff in the earlier stage of development life cycle. Here in this paper security scenarios for mobile application has been elicited and compared with the scenarios extracted from the whatsapp application. Comparison shows few scenarios need to added with existing scenarios in order to improve / ensure full security for the metadata.
Enhanced Deep Learning with featured transfer learning in Identifying Disguised Faces
Authors:   Professor, Department of Computer Science and Engineering University AP, India., Raghava Rao Yedavalli Venkata , Madhav Kuthadi Venu ,   Department of CS & IS, Faculty of Science, BIUST, Botswana, Rajalakshmi Selvaraj ,   Department of CS & IS, Faculty of Science, BIUST, Botswana
Published: August 2019

Paper The objective of face recognition is, given an image of a human face identify the class to which the face belongs to. Face classification is one of the useful task and can be used as a base for many real-time applications like authentication, tracking, fraud detection etc. Given a photo of a person, we humans can easily identify who the person is without any effort. But manual systems are biased and involves lot of effort and expensive. Automatic face recognition has been an important research topic due to its importance in real-time applications. The recent advance in GPU has taken many applications like image classification, hand written digit recognition and object recognition to the next level. According to the literature Deep CNN (Convolution neural network) features can effectively represent the image. In this paper we propose to use deep CNN based features for face recognition task. In this work we also investigate the effectiveness of different Deep CNN models for the task of face recognition. Initially facial features are extracted from pretrained CNN model like VGG16, VGG19, ResNet50 and Inception V3. Then a deep Neural network is used for the classification task. To show the effectiveness of the proposed model, ORL dataset is used for our experimental studies. Based on the experimental results we claim that deep CNN based features give better performance than existing hand crafted features. We also observe that the among all the pretrained CNN models we used, ResNet scores highest performance.
Design and Development of a Home-based Uric Acid/ pH Level Analysis Device for Gout Patients: A Health Information Technology Application (HIT)
Authors:   Lyceum of the Philippines University-Laguna, Balba Neil P. , Balinado Favis Joseph C. ,   Lyceum of the Philippines University-Laguna,, Aguilar-Escanilla Rio ,   Lyceum of the Philippines University-Laguna,, Lim Terrence ,   Lyceum of the Philippines University-Laguna,, Gaac Elvin F. ,   Romblon State University
Published: August 2019

Nowadays, technology affects every distinct aspect of modern society. Hi-tech revolution invades the way people live in this technological era. As the Philippine healthcare industry crosses the threshold of digital age, the needs for a health information technology device challenges the proponents to make a possible solution in creating a system related in health care. The proponents come up with the idea of creating a device that will analyze the urine pH of a gout patient and correlate it to the uric acid level. The proponents designed and developed a home-based uric acid/ pH level analysis device for gout patients that is capable of measuring the urine pH of the user and correlate it to the uric acid level. This study is divided into two parts; the first part is the hardware part wherein the proponents used Arduino Microcontroller, Bluetooth module, pH sensor kit and power boost converter. On the other hand is the software part, which includes the Arduino IDE and B4A software. This device uses an android application in order to display the result of the test and the medical status and profile of the user. The android application has a purpose for doctor and patient interaction for the doctor’s clinical recommendation. The proponents are able to build a device that measures the pH/uric acid level of a gout patient using the pH sensor and the Arduino micro controller
Cervical Cancer Cell Identification & Detection Using Fuzzy C Mean and K nearest Neighbor Techniques
Authors:   Research Scholar, ISE Department, Bapuji Institute of Engineering & Technology, Davangere, Karnataka., K V Bhuvaneshwari , B Poornima ,   Professor and Head of ISE Department, Bapuji Institute of Engineering & Technology, Davangere, Karnataka.
Published: August 2019

Across the globe, woman has been diagnosed two major forms of cancer, in which one is identified as cervical cancer and its micro classification. Morphology changes in cells or dead nucleus in the cervix causes cervical cancer. These cells are characterized with multiple nucleuses, faulty & lack of cytoplasm and so on. Detection of cervical cancer using smear test is extremely challenging because such cells does not offer texture variations or any significant color from the normal cells. Therefore for identification in abnormality of cells we required high level Digital image processing technique which compromises an automated, comprehensive machine learning skills. An advanced Fuzzy based technique has been implied to separate nucleus and cytoplasm from the cell. KNN is instructed with the color features and shape features of the segmented units of the cell and then an unknown cervix cell samples are classified by this technique. The proposed technique gives shape and color features of nucleus and cytoplasm of the cervix cell.
Automated Car Number Plate Recognition System using K-Nearest Neighbor
Authors:   Department of Computer Science in 2016 from Gurukul Vidyapeeth Institute of Engineering and Technology Banur, Mohali, India., Narula Divya , Mahajan Dr. Manish ,   Professor at Computer Science Engineering department of Chandigarh Engineering College, Landran, Mohali., Punjab. India., Kaur. Kamalinder ,   Assistant Professor in Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
Published: August 2019

The Automatic number plate recognition (ANPR) is a mass reconnaissance strategy that utilizations optical character recognition on images to peruse the license plates on vehicles. The car number plate detection has the various phases like pre-processing, segmentation and classification. In the previous work, the morphological operation is applied for the car number plate detection. The morphological operation has the low accuracy for the car number plate detection. In the proposed work, the region based segmentation and K-nearest neighbor classification is applied for the character recognition. The proposed is implemented in MATLAB and results are analyzed in terms of accuracy.
Principal Component Analysis For Dimensionality Reduction For Animal Classification Based On LR
Authors:   CSE, VIT-AP University, Amaravathi, India., Doraikannan Sumathi , Selvaraj Prabha ,   CSE, VIT-AP University, Amaravathi , India., Burugari Vijay Kumar ,   CSE, KoneruLakshmaiah Education Foundation, Guntur, India.
Published: August 2019

Nowadays, data generation is huge in nature and there is a need for analysis, visualization and prediction. Data scientists find many difficulties in processing the data at once due to its massive nature, unstructured or raw. Thus, feature extraction plays a vital role in many applications of machine learning algorithms. The process of decreasing the dimensions of the feature space by considering the prime features is defined as the dimensionality reduction. It is understood that with the dimensionality reduction techniques, redundancy could be removed and the computation time is decreased. This work gives a detailed comparison of the existing dimension reduction techniques and in addition, the importance of Principal Component Analysis is also investigated by implementing on the animal classification. In the present work, as the first phase the important features are extracted and then the logistic regression (LR) is implemented to classify the animals.
The Effects of Elbow Flexion Angles on Handgrip Force Production among Trained Women
Authors:   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Aziz Nurul Uyun Abd , Osman Noorzaliza ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Rosman Noor Aiwa ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia., Talip Nur Khairunisa Abu ,   Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Samarahan Campus, Malaysia., Chinnasee Chamnan ,   Faculty of Sports Science and Health, Thaksin University, Thailand., Nadzalan Ali Md ,   Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia.
Published: August 2019

The objective of this study was to determine the effects of elbow flexion angles on handgrip force production. 200 women involved voluntarily as participants in this study. Participants were required to perform handgrip dynamometer strength test in three elbow flexion angle conditions; i) 0˚ (full extension), ii) 90˚ and iii) full degrees. Participants were given three trials for each side (dominant and non-dominant) in all three elbow flexion angles. Results showed that in all elbow flexion angles, dominant handgrip force were higher compared to the non-dominant side. Besides that, performing handgrip with 0˚ elbow flexion produced greatest force followed by 90˚ and full elbow flexion. To conclude, testers need to standardize the handgrip strength test procedures as different in elbow flexion angles and the use of dominant/non-dominant sides were shown to significantly affect the force production.
Effects of Stress among the Faculty Working in Private Universities and Colleges with Special Reference to Uttarakhand (India)
Authors:   Department of Commerce, Graphic Era Deemed To Be University, Dehradun, India., Uniyal Dr Amit Kumar , Dixit Dr Anil Kumar ,   Department of Law,Uttaranchal Univdersity, Dehradun, India., Kanojia Ms. Pooja ,   Department of Commerce, Graphic Era Deemed To Be University, Dehradun, India.
Published: August 2019

The faculty plays a vital role in the higher education industry, in business and social environment in India, which is changing very drastically in achieving the organizational visions. The aim was to focus and analyze the level and the impact of stress among academies of the private Universities and colleges in Uttarakhand and also to analyze the factors responsible for stress on them in academics in today’s scenario. The after effects and the repercussions which may be burnout of the individuals in the education industry due to stress, is also tried to be covered. These are very evident now days.For this purpose the privately owned Universities and colleges are covered. The observation shows that the faculties are in a stress due to certain different reasons. Occupational stress index was used to measure the level of the stress and its impact on the faculties. The empirical analysis on the basis of the data collected shows that factors like role overload, role ambiguity, role conflict are reasons for stress among females faculties. But the factors like political pressure are responsible for creating the stress in both. The research shows that there are different factors causing stress on at different age groups, some cause stress approximately at similar level on both. It can be restricted by reducing the role conflict, role ambiguity and putting a check on the factors like organizational politics.
A Bio-inspired Modified PSO Strategy for Effective Web Information Retrieval using RCV1 Datasets
Authors:   Research scholar, Department of Studies in CS&E, UBDTCE, VTU, Davanagere, Karnataka, INDIA, C Ramya , K S Dr. Shreedhara ,   Professor, Department of Studies in CS&E, UBDTCE, VTU, Davanagere, Karnataka, INDIA
Published: August 2019

Information retrieval is a key technology in accessing the vast amount of data present on today’s World Wide Web. Numerous challenges arise at various stages of information retrieval from the web, such as missing of plenteous relevant documents, static user queries, ever changing and tremendous amount of document collection and so forth. Therefore, more powerful strategies are required to search for relevant documents. In this paper, a PSO methodology is proposed which is hybridized with Simulated Annealing with the aim of optimizing Web Information Retrieval (WIR) process. Hybridized PSO has a high impact on reducing the query response time of the system and hence subsidizes the system efficiency. A novel similarity measure called SMDR acts as a fitness function in the hybridized PSO-SA algorithm. Evaluations measures such as accuracy, MRR, MAP, DCG, IDCG, F-measure and specificity are used to measure the effectiveness of the proposed system and to compare it with existing system as well. Ultimately, experiments are extensively carried out on a huge RCV1 collections. Achieved precision-recall rates demonstrate the considerably improved effectiveness of the proposed system than that of existing one.
Applications of RFID Systems in Healthcare Management: A Simulation for Emergency Department
Authors:   Logistic and Supply Chain Management, Maltepe University, Istanbul, Turkey, Deryahanoglu Onur , Kocaoglu Batuhan ,   Management Information Systems, Piri Reis University, Istanbul, Turkey
Published: August 2019

Emergency Departments are the most complex and busiest locations for patient flow in hospitals. Treatment of acute diseases, accidental injuries, heart attacks or different medical applications are performed in these centers. At this point, patients should receive effective treatments as soon as possible. Additionally, they can include in medical procedures such as triage, registration, treatment, transfer or hospitalization when they apply of this departments. There are many problems in these services due to their complex structure. For instance; long waiting times, leaving the hospital without excuse or without payment, lack of bed or medical staff, long staying times. For these reasons, patient cares and treatments will be affected. It is thought that using of RFID Technology will be expanded in the Emergency Departments that it may decrease long waiting times, improve the quality of treatment processes and increase patient satisfaction also. In this study, it is aimed to improve patient safety and quality with sustainable tracking system. In addition, a real-time warning mechanism will be created by determining the number of optimum medical staff due to this technology. As a result, length of stay of the patients will be reduced and patient satisfaction will be increased in Emergency Departments.
Wide Band Microstrip Patch Antenna for S & C Band Applications
Authors:   PhD Scholar, Department of Electronics & communication Engineering, Barkatullah University Institute of Technology, Bhopal, India, Bhargava Abhinav , Sinha Poonam ,   Head, Department of Electronics & communication Engineering, Barkatullah University Institute of Technology, Bhopal, India
Published: August 2019

A fractal is a repeated or similar structure having a fractional dimension. This type of shape having repetitive structure so the electrical length can be increased with introducing multiple slots. That we can get fine edge length structure. By recursive nature multiple objectives can be achieved. Size of the antenna is continuously decreasing with the development of patch antenna. In this paper a square shaped square slotted antenna is investigated, which is compact printed wide band antenna. A rectangular microstrip patch antenna chosen with three slots for wide band application. When ground is modified it is called defected ground structure by which bandwidth can be further increased, and overall a wideband antenna is simulated using HFSS simulation software. So this antenna is useful for many applications in S & C band, the size of the antenna is reduces. This paper represents the combination of rectangular antenna with rectangular slots. Proposed design has resonant frequency of 4.7GHz with the operating range from 3.2GHz to 14.3GHz with bandwidth of 11.1GHz. Using proposed antenna design and micro strip feeding at proper position acceptable resultant frequency, return loss, VSWR and bandwidth is achieved. For the design of the micro strip antenna we have used FR-4substrate which has permittivity of 4.4 and thickness 1.6, loss tangent is 0.02. HFSS simulation software is used for designing and analysis. We have observed that using slotted patch antenna and using micro strip at proper location we can get better return loss, VSWR, and wideband.
Building a Retail Sysem Based on Distributed Databases Model
Authors:   Department Of Information TechnologyPosts and Telecommunications Institute of TechnologyHanoi, Vietnam, Thi Ha* Phan , Van Anh Trinh Thi ,   Computing Fandamental Dapartment, FPT University, Hanoi 10000, Vietnam
Published: August 2019

In recent years, distributed databases have become an important field of processing information, overcoming some limitations of centralized database such as overloading, bottlenecking while accessing, availability/ reliability of low fault tolerance. Our article proposes to build a distributed system (functions and databases) for POS (point of sale) retailers, data will be distributed across different locations but can still be linked together when required. At each location retailers can sell directly on the system (online or offline) so they can administer local databases and execute their local applications (business). Here we deploy the system on the distributed database management system based on Client-Server model. Therefore, aside from local management of data at clients (POS), there is also a server (manager) that stores data, manages and controls the entire system.
Drowsiness Detection using Band Power and log Energy Entropy Features Based on EEG Signals
Authors:   Post-Doctoral Researcher, Intelligent Automotive Systems Research Cluster, Universiti Kuala Lumpur Malaysian Spanish Institute, 09000, Kulim, Kedah, Malaysia., Krishnan Pranesh , Yaacob Sazali ,   Professor, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, 09000, Kulim, Kedah, Malaysia
Published: August 2019

Sleeping on the wheels due to drowsiness is one of the significant causes of death tolls all over the world. The primary reason for the sleepiness is due to lack of sleep and irregular sleep patterns. Several methods such as unobtrusive sensors, vehicle dynamics and obtrusive physiology sensors are used to diagnose drowsiness in drivers. However, the unobtrusive sensors detect drowsiness in the later stage. Whereas the physiological methods use obtrusive sensors such as electro-ocular, electro-myo and electro-encephalograms produce high accuracy in the early detection of drowsiness, which makes them a preferable solution. The objective of this research article is to classify drowsiness with alertness based on the electroencephalographic (EEG) signals using band power and log energy entropy features. A publicly available ULg DROZY database used in this research. The raw multimodal signal is processed to extract the five EEG channels. A passband filter with the cut off frequencies of 0.1 Hz and 50 Hz attenuates the high-frequency components. Another bandpass filter bank is designed to slice the raw signals into eight sub-bands, namely delta, theta, low alpha, high alpha, low beta, mid-beta, high beta and gamma. The preprocessed signals are segmented into an equal number of frames with a frame duration of 2 seconds using a rectangular time windowing approach with an overlap of 50%. Frequency domain features such as log energy entropy and band power were extracted. The extracted feature sets were further normalised between 0 and 1 and labelled as drowsy and alert and then combined to form the final dataset. The K-fold cross-validation method is used to divide the dataset into training and testing sets. The processed dataset is then trained using Discriminant analysis, k-nearest neighbour network, Binary decision tree, ensemble, Naive Bayes and support vector machine classifiers and the results are compared with the literature. The kNN classifier produces 95% classification accuracy. The developed model can provide a tool for drowsiness detection in drivers.
Dengue Disease Detection using K- Means, Hierarchical, Kohonen- SOM Clustering
Authors:   Department of Computer Science, Alagappa University/ Dr.Umayal Ramanathan College for Women/ Karaikudi, India., Yogapriya P. , Geetha Dr. P. ,   Department of Computer Science, Alagappa University/ Dr.Umayal Ramanathan College for Women/ Karaikudi, India.
Published: August 2019

Data Mining is the process of extracting useful information. Data Mining is about finding new information from pre-existing databases. It is the procedure of mining facts from data and deals with the kind of patterns that can be mined. Therefore, this proposed work is to detect and categorize the illness of people who are affected by Dengue through Data Mining techniques mainly as the Clustering method. Clustering is the method of finding related groups of data in a dataset and used to split the related data into a group of sub-classes. So, in this research work clustering method is used to categorize the age group of people those who are affected by mosquito-borne viral infection using K-Means and Hierarchical Clustering algorithm and Kohonen-SOM algorithm has been implemented in Tanagra tool. The scientists use the data mining algorithm for preventing and defending different diseases like Dengue disease. This paper helps to apply the algorithm for clustering of Dengue fever in Tanagra tool to detect the best results from those algorithms.
An Empirical Evaluation on Customer Satisfaction in Retail Banking Services of Sbi Bank in Hyderabad District
Authors:   K.Vinaya Laxmi, Research Scholar, JNTUK, Kakinada Andhra Pradesh, India., Laxmi K.Vinaya , Kumar P. Vijaya ,   Dr. P. Vijay Kumar Chairman BOS, HOD Business School of Management,JNTUK Kakinada, Andhra Pradesh, India., Narayana M.S. ,   Dr. M. S. Narayana Professor in Business Management, KL University Vijayawada. Andhra Pradesh, India.
Published: August 2019

The main drive to write this paper is to analyse the most inducing factors impacting the customer satisfaction of Indian banking specifically SBI through factor analysis and regression analysis.A 24 itemed questionnaire was constructed through the literature survey and need based analysis of the customer view point in Indian banks. 250 questionnaires were distributed among the bank customers of SBI in Hyderabad west region among which 195 were returned back and among which only 150 were accurate and completely filled. The 24 itemed instruments have been tested empirically for reliability, uni dimensionality and validity through the statistical tools.The internal consistency and multivariate normality is in more acceptances with the data and further factor analyses has resulted with the six variable dimension factors enabling the customer satisfaction in the specific SBI branches. The service quality studied are proposed to offer the satisfaction level in retail services in banks with specific magnitudes which lends the bankers to overlay on improved strategic planning for the provisions and retention of customers in the long run for achieving lucrative measures and improving better client relationships. The results from the analysis of the current study are very vital, where scale development was evidenced from the previous studies which is most familiar to the SERVQUAL, the continuous growing market requirements and the customer needs increases the scope of self-assessment in due course to improve the service quality dimensions and even it permeates the academic research and prioritisation of quality up gradation in service orientation by bankers.
Tribological Characteristics of Natural Fiber Reinforced Polyester Hybrid Composites
Authors:   Professor, Department of Mechanical Engineering, CMR Institute of Technology, Hyderabad, India., Kumar Dr.S.Sathees
Published: August 2019

In order to investigate the wear behavior and tooth damage of Madar and Bauhinia Racemosa fibers reinforced polyester, the composite gears were fabricated with varying the fiber weight percentages of 5%, 10%, 15% and 20%. This paper explores the rolling and sliding of the composite gears running against nylon gear with a simplified method of analyzing and understanding the wear and tooth damage. Tests were conducted without external lubrication over a range of loads 4Nm, 8Nm,12Nm and 16Nm using a gear test rig. The test results of composite gears are compared with unreinforced polyester gear (URPE). It was found that the surface temperature was the primary factor affecting the wear rate and an initial relationship between gear surface temperature and load capacity. This composite can be useful for automobile and industrial applications.
Performance Evaluation of Mimo System with Massive Antenna Arrays
Authors:   is research scholar in electronic dept. in PTU Jalandhar (Punjab) India, Kumar Kamal , Saini Hardeep Singh ,   Professor (ECE) and Associate Dean Academic at indo global college of Engineering, Abhipur (Mohali) and PUNJAB India
Published: August 2019

In the ground of digital word, wireless communication system has widespread functions. The demand for wireless communication is growing day by day. All users want better quality service in scope of wireless communication. Due to high bit error rate (BER), low signal to noise ratio (SNR), limited bandwidth and high standard deviation (SD) of phase error conventional wireless communiqué systems like SISO, SIMO and MISO flops to gather the mounting demand of users. Therefore a new technique MIMO system is realized whose performance is evaluated by parameters BER, SNR and SD of Phase Error. Latest approach for increasing the performance of virtual MIMO communications within peers by ill-treatment situation with giant antenna arrays is developed. MIMO provides low BER and low SD of Phase Error with increased SNR, which forms a good feature for wireless communication system. In this paper, performance of MIMO is assessed under Nakagami-m and Rayleigh fading channels. For a wireless system BER and SD of phase error should be minimum, which is achieved in MIMO system.
Inquiry of Personal Intelligence Of Adolescence and Early Adulthood College Students of Tamilnadu using Id3 Algorithm
Authors:   Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India., Muthukumaran S. , Geetha P. ,   Associate Professor, Department of Computer Science, Dr. Umayal Ramanathan College for Women, Karaikudi, India., Ramaraj E. ,   Professor and Head, Department of Computer Science, Alagappa Univeristy, Karaikudi, India.
Published: August 2019

Educational Data Mining is an Emerging research domain which focus on extracting knowledge from educational databases to promote the learning environment. Educational psychology helps to understand the differences in learning process of a person from cognitive and behavioral perspective. This research aims to predict the personal intelligence of adolescence and early adulthood who are studying under graduate and post graduate courses in educational institution. Adolescence plays a very import role in the development of personality to new dimensions in human life. The Adolescence physical, mental, social, moral and spiritual outlooks undergo revolutionary changes. Many teachers and parents fail to asses these changes and they do not like to slacken their control over them. Psychologist has stressed to properly channelize the behavior of adolescence and give them adequate education. In this paper machine learning technique with decision tree induction algorithm was used to analyze the personal intelligence of college students. To construct the decision tree, Entropy and Information Gain are used as attribute selection measures in ID3 algorithm. Applying data mining techniques in the field of Educational Psychology is a new method and the rules generated from the decision tree helps to identify the personal intelligence of the students. This result helps the Educators to improve the learning environment better for Adolescence.
Kernel Based K-Nearest Neighbor Method to Enhance the Performance and Accuracy of Online Signature Recognition
Authors:   Masters of Philosophy degree in Computer Science from Manonmaniam Sundaranar University (MSU), Tirunelveli, Tamilnadu, India, Chakravarthi R. Ravi , Chandra E. ,   Professor and Head, Department of Computer Science, Bharathiar University, Coimbatore, India.
Published: August 2019

Signature recognition is a significant among the most fundamental biometrics recognition techniques, is a key bit of current business works out, and is considered a noninvasive and non-undermining process. For online signature recognition, numerous methods had been displayed previously. In any case, accuracy of the recognition framework is further to be enhanced and furthermore equal error rate is further to be decreased. To take care of these issues, a novel order method must be proposed. In this paper, Kernel Based k-Nearest Neighbor (K-kNN) is presented for online signature recognition. For experimental analysis, two datasets are utilized that are ICDAR Deutsche and ACT college dataset. Simulation results show that, the performance of the proposed recognition technique than that of the existing techniques in terms of accuracy and equal error rate.
Classification and Stage Prediction of Lung Cancer using Convolutional Neural Networks
Authors:   Research Scholar, Department of Computer Science and Engineering, Annamalai University., Narmada K. , Prabakaran Dr. G. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University., Mohan Dr. S. ,   Assistant Professor, Department of Computer Science and Engineering, AnnamalaiUniversity.
Published: August 2019

In recent years, digital image processing is widely used for the medical treatment classification and diagnosis. Lung cancer is the most leading cause of death in all over the world nowadays. Based on the signs and symptoms it can’t be diagnosis and treatment classified at the early stage. However it can be identified through the symptoms like coughing up blood and chest pain, the stages and risk factors of the cancer cannot be identified through the symptoms. The CT scanned lung images should be involved in image classification processing for earlier prediction of stages and treatment diagnosis. In existing, machine learning treatment classification can be done through the SVM classification. In case of large set of training samples, this will not be in accurate manner and it has less accuracy because of improper feature extraction techniques. Thus the performance of the classification based on the segmented features obtained in preceding sections. The extracted fine-grained training data through deep learning are utilized for the classification using Convolution Neural Network (CNN). In this paper, we propose a novel framework to classify both small cell and large cell lung cancer and predict its type and treatment using CNN. It is also concentrates on the preprocessing and segmentation processes to accomplish the accuracy in prediction. The experiment results in Python - TensorFlow with Kaggle image dataset show that compared to state of the art of classification and prediction methods, the proposed scheme can obtain much higher accuracy in type prediction and treatment diagnosis.
Design of Fast Efficient Radix-16 Sequential Multiplier
Authors:   Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India., Gokul B. , Padmaja M. ,   Electronics and Communication Engineering, V R Siddhartha Engineering College, Vijayawada, India.
Published: August 2019

Multiplication is an important function in computer arithmetic operations. The multiplication process will be done by the shift-and-add sequential multiplication procedure. Radix-16 sequential multiplier design generates the radix-16 partial products as two low (L) and high (H) components. In order to reduce cycle time, Brent-Kung adder and two radix 16 carry-save adders are used to generate radix-16 partial products. The proposed design of radix-16 sequential multiplier is efficient over previous designs and comparison depicts ADP and PDP of existing method are 11.22% and 8.45% than proposed method. However, the Excess area-Delay product and Excess-power-Delay product is also lowered. The design is carried out in Xilinx ISE 14.5 software and cadence tool for simulation and synthesis results. Fast efficient radix-16 sequential multiplier can be used in many digital signal processing applications.
Effectiveness of Pruning Levels on the Results of Several Chili Plant Varieties (Capsicum annuum L)
Authors: Sridanti Irma Lisa , Susanti Fitri
Published: August 2019

The success of agricultural development has provided very high support for meeting the food needs of the people of Indonesia, but it is realized that behind these successes there are weaknesses that need to be corrected. Varieties consist of a number of different genotypes, where each genotype has the ability to adapt to the environment. Each variety has a genetic that can affect growth and yield, and the ability to adapt to different varieties. Pruning is an attempt to eliminate some parts of the plant, this is usually related to the cutting of parts of the plant that are diseased, unproductive, or unwanted. The purpose of crop trimming by controlling or directing plant growth is produced. This study aims to look at the effectiveness of peroide trimming on the yield of several chili plant varieties (Capsicum annuum L).

               This research was conducted in Sumber Bening village, Selupu Rejang Sub-district from July to October 2016. The chili varieties used in this study were F1, Belinda F1 and Samido F1. This study used a Randomized Block Design (RBD) with 2 factors and 3 replications. Data were analyzed using Variety Analysis (Anava). From the results of the analysis that the Jitu variety has better results than Belinda and Samido varieties. It is assumed that the 30% pruning rate is the ideal level of pruning against growth in plant height, number of fruits and weight of fruit. The treatment of varieties against pruning has no significant effect on all variables
OPTIMASI DATA MINING MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN C4.5 UNTUK KLASIFIKASI KELULUSAN MAHASISWA
Authors: Ratniasih Ni Luh
Published: August 2019

ABSTRACTPresentation of data to produce information values is often displayed in the form of tabulations. If the data displayed has a small capacity, it may not be difficult to process the information. But if the data presented has a very large capacity, it is feared there are obstacles to absorbing information accurately and quickly. This is because that it takes a long time to read the data displayed in detail until the end of the data. The data to be discussed in this study are data of STMIK STIKOM Bali students. Historical data displayed will be converted into a decision tree. Thus the absorption of information will become easier. This research implements data mining disciplines using the naïve bayes method comparison with C4.5 algorithm which is a method for performing classification techniques and applied with Rapid Miner tools.Keywords : C4.5, KNN, Student GraduationABSTRAKPenyajian data untuk menghasilkan nilai informasi sering kali ditampilkan dalam bentuk tabulasi. Apabila data yang ditampilkan memiliki kapasitas kecil, mungkin tidak terlalu sulit untuk mencerna kandungan informasi tersebut. Tetapi apabila data yang disajikan memiliki kapasitas yang sangat besar, dikawatirkan adanya kendala untuk menyerap informasi secara tepat dan cepat. Hal ini dikarenakan bahwa dibutuhkan waktu yang cukup lama untuk membaca data yang ditampilkan secara rinci hingga akhir data. Data yang akan dibahas dalam penelitian ini adalah data mahasiswa STMIK STIKOM Bali. Data historis yang ditampilkan akan dikonversi menjadi bentuk pohon keputusan. Dengan demikian penyerapan informasi akan menjadi lebih mudah. Penelitian ini mengimplemen-tasikan disiplin ilmu data mining menggunakan komparasi metode naïve bayes dengan algoritma C4.5 yang merupakan sebuah metode untuk melakukan teknik klasifikasi serta diaplikasikan dengan tools Rapid Miner.Kata kunci : C4.5, KNN, Kelulusan Mahasiswa
COVER
Authors: JUTIK COVER
Published: August 2019

COVER
浅析长春地铁与轻轨换乘节点方案
Authors: 曹 明洋
Published: August 2019

长春地铁3、4 号线为长春第一轮轨道建设规划，未预留与远期地铁线换乘条件，第二、三轮轨道建设规划与3、4 号线相交位置需对3、4 号线车站进行改造后换乘。长春轻轨为4C 编组，地铁为6B 编组。换乘改造需解决2 条线客流断面不匹配问题、2 条线安检制度不一致问题、换乘对既有3、4 号线楼扶梯通行能力冲击问题。
Inserção de pessoas na maturidade na educação superior
Authors: Garcia Kerolyn Ramos , Chiarello Marileusa Dosolina , Lima Joaquim Trajano Pinto Soares , Pereira Leonardo Costa , Funghetto Suzana Schwerz , Karnikowski Margô Gomes de Oliveira
Published: August 2019

Objetivo: comparar a inserção das pessoas maduras (≥40 anos) na educação superior - ES no Brasil com o crescimento desta população no período de 2011/2016. Método: Foram utilizados dados públicos do censo da educação superior de 2011 a 2016 do INEP/MEC. Os dados populacionais dos grupos etários investigados para o mesmo período foram obtidos no sítio do Instituto Brasileiro de Geografia e Estatística. Resultados: O índice de envelhecimento aumentou quase 30%, enquanto as matrículas na ES de pessoas maduras aumentaram mais do que a população deste grupo etário, sendo o maior aumento na faixa acima de 60 anos. As instituições privadas responderam por 4/5 das matrículas. Conclusões: a inclusão de pessoas na maturidade na ES pode contribuir para o processo de promoção de sua saúde.
Wawasan Kebersihan Lingkungan & Keberagamaan; Praktik Kebersihan Lingkungan pada Civitas Akademika UIN Imam Bonjol Padang
Authors: Sari Rulan Permata
Published: August 2019

The basic identity of academic community of UIN Imam Bonjol Padang is Muslim, with sufficient religious knowledge. This study aims to see the correlation of knowledge with behavior in maintaining environmental cleanliness. The research data collection was carried out by survey and in-depth interviews with the academic community of UIN Imam Bonjol. This study found that, first the understanding of the academic community of UIN Imam Bonjol Padang about cleanliness was quite good at the individual level originating from the hadith about cleanliness, both in text and in substance. Second, in maintaining cleanliness, UIN academics are influenced by the lack of available hygiene facilities and infrastructure and the absence of regulation. Third, there is an asymmetrical relationship between the knowledge of the UIN academic community about environmental hygiene and practice because the understanding of environmental hygiene is still in the domestic area and is private in nature, not yet entering the public space.
The Fermi Paradox and the Aurora Effect: Exo-civilization Settlement, Expansion, and Steady States
Authors: Carroll-Nellenback Jonathan , Frank Adam , Wright Jason , Scharf Caleb
Published: August 2019

We model the settlement of the Galaxy by space-faring civilizations in order to address issues related to the Fermi Paradox. We are motivated to explore the problem in a way that avoids assumptions about the agency (i.e., questions of intent and motivation) of any exo-civilization seeking to settle other planetary systems. We begin by considering the speed of an advancing settlement front to determine if the Galaxy can become inhabited with space-faring civilizations on timescales shorter than its age. Our models for the front speed include the directed settlement of nearby settleable systems through the launching of probes with a finite velocity and range. We also include the effect of stellar motions on the long-term behavior of the settlement front which adds a diffusive component to its advance. As part of our model we also consider that only a fraction, f, of planets will have conditions amenable to settlement by the space-faring civilization. The results of these models demonstrate that the Milky Way can be readily filled-in with settled stellar systems under conservative assumptions about interstellar spacecraft velocities and launch rates. We then move on to consider the question of the Galactic steady state achieved in terms of the fraction X of settled planets. We do this by considering the effect of finite settlement civilization lifetimes on the steady states. We find a range of parameters for which 0 < X < 1, i.e., the Galaxy supports a population of interstellar space-faring civilizations even though some settleable systems are uninhabited. In addition we find that statistical fluctuations can produce local overabundances of settleable worlds. These generate long-lived clusters of settled systems immersed in large regions that remain unsettled. Both results point to ways in which Earth might remain unvisited in the midst of an inhabited galaxy. Finally we consider how our results can be combined with the finite horizon for evidence of previous settlements in Earth’s geologic record. Using our steady-state model we constrain the probabilities for an Earth visit by a settling civilization before a given time horizon. These results break the link between Hart’s famous “Fact A” (no interstellar visitors on Earth now) and the conclusion that humans must, therefore, be the only technological civilization in the Galaxy. Explicitly, our solutions admit situations where our current circumstances are consistent with an otherwise settled, steady-state galaxy.