bluuebunny/crossref_metadata_2025 huggingface dataset:
Tribological Effects of H-Bn Nano Cutting Fluid - Minimum Quantity Lubrication (Nf-Mql) on Machining Inconel 625
Authors:   Associate Professor, Department of Mechanical Engineering, Gandhi Institute of Technology and Management (Gitam), Hyderabad., Padhy* DR. Chinmaya Prasad , Singh Pariniti ,   Assistant Professor in Various Streams of Mechanical Engineering. Academically, she holds a Master’s Degree in Industrial Engineering & Management Along with a Bachelor’s in Mechanical Engineering from Ujjain Engineering College Affiliated to RGPV Bhopal.
Published: November 2019

Minimum quantity lubrication (MQL) is currently a widely used lubricating technique during machining, in which minimum amount of lubricant in the form of mist is delivered to the machining interface, thus helps to reduce the negative effects caused to the environment and human health. Further, to enhance the productivity of machining process specifically for hard-to-cut materials, nano cutting fluid (suitably mixed nano materials with conventional cutting fluid) is used as an alternative method to conventional lubrication (wet) in MQL. In the current paper, h-BN nano cutting fluid was formulated with 0.1% vol. concentration of h-BN in conventional cutting fluid for NF-MQL technique and its tribological effects on machining performance of Inconel 625 were compared with other lubricating conditions (dry, wet, MQL conventional). The tribological effects were analyzed in terms of tool wear analysis, chip morphology along with statistical analysis for surface roughness and cutting forces. The optimal input machining parameters for experiments were defined by the use of Taguchi and Grey relational based multi response optimization technique. The tribological effects of h-BN NF-MQL shows that it is a viable and sustainable option for improving the machining performance of hard- to- cut material like Inconel 625.
Secure Social Network Based Healthcare
Authors:   Student Pursuing her Bachelors in Computer Science and Engineering in SRM Institute of Science and Technology, Ramapuram, Chennai. India., B* Sreedevi , Sellam Ms. V. ,   Assistant Professor in the Department of Computer Science and Engineering in SRM Institute of Science and Technology, Ramapuram, Chennai, India.
Published: November 2019

Healthcare system holds a huge amount of data due to the number of tests taken by the patients and are maintained in physical files or digital files in form of records. At the end of the treatment, a discharge summary of the files will be sent along with the patients. All the records of the patients are maintained in the hospital by MRD (Medico Record Department). Maintanence of records are of very high cost and data security, integrity should be maintained. When patients migrate from one hospital to another, they ought to provide their past records to the doctor for diagnosis. There is a very high probability for the patients to miss their records after many years. A social network based system can be developed in which the patient’s data is stored in cloud and can be shared among the healthcare centres. Each hospital can send requests regarding a patients’s past records to other hospital and records can be retrieved. This helps doctors to have a greater incite on the reports, and repeated tests are avoided for the search of the missing information. As medical records are very sensitive, security and privacy concerns are high. To secure data, blockchain is used in which the data are stored in off-chain and their hashes are stored on-chain. The data in off-chain are encrypted using Advanced Encryption Standard(AES).
An Efficient and Robust Fracture Detection in Femur Bones
Authors:   Department of CSE, Koneru Lakshmaiah Education, Foundation, Vaddeswaram, Guntur, India., Basha* CMAK Zeelan , Simha G Kalyan Jaya ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., krishna Y Vamsi ,   Department of Computer Science And Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
Published: November 2019

There are several bones in the body but the femur is especially the important bone in the body which is from the hip to knee. The Red blood cells(RBC) are created because of bone called femur. In this paper we have given a method to know where the bone has broken by the methods of image processing..We will preprocess the image in order to show the interested domain . In this paper, foreground is taken as our interested domain in order to hide the background details. There are many mathematical and morphological operations which are used for this process, by using these methods and operations we highlight the foreground and the objects in the foreground will be highlighted by using edge detection. The support vector machine in the preprocessed image to know where the bone has fractured and where the bone was not fractured
Experimental analysis on Generic principles for developing Robust Designs against Casting Defects
Authors:   Assistant professor, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra pradesh, India., Kumar M.N.V.R.L. , Feyissa Habtamu Mitiku ,   Lecturer, Department of Mechanical Engineering, colege of Engineering Research transfer coordinator, Maddawalabu university, Bale robe, Ethiopia, Kedarnath G. ,   Assistant Professor, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana., Ranganath L. ,   Assistant professor, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra pradesh, India.
Published: November 2019

The world is running around invention and advancements in the existing products or components, and this wasn’t be easy without design concepts and its principles. This paper is conferring on this facet, how the design can be made robust against manufacturing flaws by varying the parameters such as material properties, dimensions, shapes etc. If a design engineer compels a mistake while designing a product, results in the following aspects: confidence, business, customers, sales, servicers, repute etc. If we modify the design, and make it robust, some or all of these losses will be recouped., It is not an easy task to discuss all manufacturing capabilities in one go , to have a lucidity in the concept the flaws of manufacturing during casting were focused in this paper. Based on the theoretical study and experiment analysis conducted on a casting “+” model the results are outlined. Based on the output, a list of generic design principles was defined, which can be considered by a design engineer during casting design process. The paper starts with a brief introduction to robust design, followed by a literature review, then design solutions, computer simulation analysis of a casting component (using Solid Works) and finally the conclusions made from the results.
Experimental Evaluation of Mechanical, Wear and Corrosion properties of AA5083/Graphite Metal Matrix Composite Prepared using Compocasting Process
Authors:   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu - 641114, India., Kumar J.Pradeep , Smart* Dr.D.S.Robinson ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu – 641114, India., Jones Dr.Erick C. ,   Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at Arlington, USA,
Published: November 2019

In most of the engineering applications such as aviation, defence, marine and automotive requires components with light weight and along with favorable mechanical properties; this demand perhaps satisfied by metal matrix composites (MMCs) of aluminium by virtue of its distinguished achievement. Also MMCs suffer from insufficient process stability, in-adequate economic efficiency and reliability. In the present research work an experiment was developed to synthesize metal matrix composite adopting Aluminium Alloy (AA) 5083 as matrix material reinforced with graphite particulates (6 wt %, 8 wt % & 10 wt %) using two stage in-situ stir casting process. Experiments were implemented to analyze mechanical and tribological properties like ultimate tensile strength, microhardness, wear characteristics and corrosion properties. From the above investigations, it is revealed that microhardness increases with decrease in tensile strength with upsurge in more wt % of reinforcement. Due to the very high self-lubricating property of graphite significant reduction in wear can be observed with deepen in wt % of graphite. Also corrosion rate decreases with more amount of graphite particulate when compared with base matrix material.
Evolution of Wireless Communication along with Encoders
Authors:   Dept. of Electronics & Communication Engg, Vemana Institute of Technology, Bengaluru, India., R* Rashmi , Devi Manu ,   Dept. of Electronics & Communication Engg, The Oxford college of Engineering, Bengaluru, India.
Published: November 2019

Now a days technology drastically increasing, leads to increase in communication also. Internet of Things (IOT) is very basic fundamental necessary to the consumers in this decade, which requires a communication path mainly from end to end. By understanding this technology growth, took as motivation and started a survey for turbo decoder architecture in Long Term Evolution (LTE) and 3GPP-LTE communication. Different generation technologies adopt different kinds of encoder as well as decoder to encrypt the data which can be sent from source devices to destination devices, which consists parameters like data rate, frequency used to transmit and speed of transitioning i.e., encoding and decoding the data at the transmitter as well as receiver. This paper represents a survey on different architectures of turbo decoder in LTE communication which can give a brief idea about the communication and also the usage of turbo encoder in various applications. Initially we look back a history and development of a communication system till LTE. Later we discuss the different technologies and topologies on turbo decoder along with its architecture, advantage and disadvantage.
An Innovative Model for both Cloud Security and Privacy in Provision of Secure Cloud Services
Authors:   Department of Computer Science & Engineering, Sreenidhi Institute of Science and Technology, Telangana, India., Reddy* Gouni Ritthiika , Sreenivasarao Devavarapu ,   Assistant Professor, Department of Computer Science & Engineering Department, Sreenidhi Institute of Science and Technology, Telangana, India., Saheb Shaik Khasim ,   Assistant Professor, Department of Computer Science & Engineering Department, Sreenidhi Institute of Science and Technology, Telangana, India.
Published: November 2019

Because of diverse benefits such as counting services on demand, decreasing costs, computing resources configuration, flexibility, services scalability, etc. over internet, Cloud Computing has become and is becoming widely and hugely accepted technology to provide services. On the other hand, privacy and security of a cloud has become an issue as this technology is tremendously emerging in the world. Many researches are being done and even some proposed various models to identify and overcome the privacy and security issues. In this review, for the cloud providers to use during different stages of cloud services, a layered cloud security and privacy model (CSPM) will be provided. The CSPM model allows to overcome cloud security issues and thus, providing safe and protected services. Lastly, countermeasures and security threats will be presented.
Registration Status Prediction of Students using Machine Learning in the Context of Private University of Bangladesh
Authors:   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Mia* Md. Jueal , Biswas Al Amin ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Sattar Abdus ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh., Habib Md. Tarek ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh
Published: November 2019

Bangladesh is a densely populated country where a large portion of citizens is living under poverty. In Bangladesh, a significant portion of higher education is accomplished at private universities. In this twenty-first century, these students of higher education are highly mobile and different from earlier generations. Thus, retaining existing students has become a great challenge for many private universities in Bangladesh. Early prediction of the total number of registered students in a semester can help in this regard. This can have a direct impact on a private university in terms of budget, marketing strategy, and sustainability. In this paper, we have predicted the number of registered students in a semester in the context of a private university by following several machine learning approaches. We have applied seven prominent classifiers, namely SVM, Naive Bayes, Logistic, JRip, J48, Multilayer Perceptron, and Random Forest on a data set of more than a thousand students of a private university in Bangladesh, where each record contains five attributes. First, all data are preprocessed. Then preprocessed data are separated into the training and testing set. Then, all these classifiers are trained and tested. Since a suitable classifier is required to solve the problem, the performances of all seven classifiers need to be thoroughly assessed. So, we have computed six performance metrics, i.e. accuracy, sensitivity, specificity, precision, false positive rate (FPR) and false negative rate (FNR) for each of the seven classifiers and compare them. We have found that SVM outperforms all other classifiers achieving 85.76% accuracy, whereas Random Forest achieved the lowest accuracy which is 79.65%.
Stereotyped Media Images as a Method of Forming Delusions of Ordinary Consciousness
Authors:   Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Rosinska* Olena , Zhuravska Oksana ,   Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine., Zykun Natalia ,   Social Communication, Associate Professor of University of State Fiscal Service of Ukraine, the Department of Journalism, Ukrainian Literature and Culture, Kyiv, Ukraine, Gandziuk Vitaliy ,   Ph.D. in Social Communication, Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine.
Published: November 2019

The article reveals the psychological foundations of the manipulative influence of the media on the ordinary consciousness of the information consumer, analyzes the methods of manipulative influence. The survey of respondents has determined the activity rate of information consumption, the level of interest in various media formats, the respondent’s degree of awareness of the specificity regarding influence on their consciousness. Methods of media influence on ordinary consciousness include various types of fragmentation of information, game by facts and figures, logic violations, semantics (use of metaphors, emotionally evaluated vocabulary, language of symbols, archetypes, antitheses) of stereotypical images for attaching certain connotative stereotypes to the consciousness in order to strengthen influence, and others. Consequently, the technologies of influence determine the need for psychosemantic analysis to study stereotypical, mythological and archetypal images of ordinary consciousness. The research demonstrates the relevance of the psychosemantic approach to the study of ordinary consciousness in the modern information society, the impact of crisis processes in the society development on the changes in certain levels of ordinary consciousness and the main tendencies of its transformation; as well as the empirical research of the formation of the ordinary consciousness by mass media has been demonstrated.
Module Integrated PV Balancer for PV Applications
Authors:   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Rajasekaran V , Kumar* S K Nandha ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Selvakumaran S ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Karthigaivel R ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India.
Published: November 2019

This paper presents the possibility of Module Integrated Converters (MIC) called PV balancers for photovoltaic applications. The proposed thought enables self-governing Maximum Power Point Tracking (MPPT) for each board, and radically decreases the requirements for power converters. The power rating of a PV balancer is under 20% of its accomplices, and the collecting cost is as such inside and out diminished. The proposed engineering of the PV balancer is checked through simulation results. It is foreseen that the proposed methodology will be an ease answer for future photovoltaic power frameworks.
Fuzzy Logic Controlled PV Based Quasi Impedance Source Inverter for Charge Balancing
Authors:   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Deepak* F X Edwin , Senthamil L Sahaya ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Umamaheswari S ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Nicholine J Punitha ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India., Rathish R Joseph ,   Department of EEE, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India.
Published: November 2019

A photovoltaic power generation system based on battery-energy quasi impedance source cascaded multi-level inverter incorporates the advantages of a quasi-impedance source inverter, a CMI, and a battery-energy storage unit. Unbalanced battery charging between cascaded H-bridge inverter modules will degrade the efficiency of an entire system and reduce the lifetime of the battery. This paper proposed a control method for tracking the maximum power point and balancing the SOC of the battery under the large variation of solar input. A fuzzy based optimized linearizer for the battery charge and maximum power point tracking are proposed. The fuzzy controller is proposed to enhance the battery state of charge regulation takes as a individual modules as a loop to reduce over charge condition. The Proposed method validation is done by comparing it with base work control by PI and P&O with the performance parameters. The base work and proposed work are designed and simulated in the Matlab Simulink software.
A Novel Channel Access Mechanism for IEEE 802.15.4e to Promote Internet of Things
Authors:   Research Scholar, School of Engineering & Technology, Career point University, KOTA, Rajasthan, India., Kumar* Chebrolu Phaneendra , Kumar Bandi Kiran ,   Research Supervisor, School of Engineering & Technology, Career point University, KOTA, Rajasthan, India.
Published: November 2019

IEEE 802.15.4e defines the specification of PHY layer and MAC layer. Although distinguished by its popularity and strength for Wireless Sensor Networks (WSNs), it still suffers from several limitations that deteriorates its performance. One such restriction is a high collision probability that degrades the performance of a dense network. In this article, we develop a Slotted Access Window (SAW) mechanism, a medium access technique to mitigate high collision probability and energy consumption in dense and battery constrained networks. An accurate analytical model is presented to assess the effectiveness of SAW mechanism and validated using the ns-3 simulator. Finally, results show that the SAW mechanism significantly improves the throughput, energy efficiency, and delay in contrast to the default medium access mechanism.
Classification of Pap smear images for Cervical cancer using Convolutional Neural Network
Authors:   Department of information Science and Engineering, M S Ramaiah Institute of Technology, Bengaluru, India., Ungrapalli N S* Manasa , A N Myna ,   Department of information Science and Engineering, M S Ramaiah Institute of Technology, Bengaluru, India.
Published: November 2019

Classification of Pap smear images for cervical cancer consists of two types namely, normal and abnormal cancerous cells. The dataset involves 7 sets of classes of cancerous images which have 3 sets of normal cancerous images and 4 sets of abnormal cancerous images. The proposed work performs two stages of classification. The first stage of the work is classifying the data as normal or abnormal cancerous cells. In the second stage of the work, the class of the cancer as normal columnar, normal intermediate, normal superficial, light dysplasia, moderate dysplasia, severe dysplasia and carcinoma_in_situ are classified. The proposed work gives good results for classifying images for 3 sets of classes and 4 sets of classes for normal cells and is able to classify and detect normal and abnormal cell accurately.
Optimizing Stock market prediction using Long Short Term Memory
Authors:   Department of CSE, Vel Tech RangarajanDr.Sagunthala R & D Institute of Science and Technology, Kavitha* R. , Singh Sonal ,   Student, Department of CSE, Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology
Published: November 2019

Stock market prediction has been an important issue in the field of finance, engineering and mathematics due to its potential financial gain. Stock market prediction is a process of predicting the future value of a company stock or other financial instrument traded in financial market. Stock market prediction brings with it the challenge of proving whether the financial market is predictable or not, since stock market data is of high velocity. This project proposes a machine learning model to predict stock market price based on the data set available by using LSTM model for performing prediction by de-noising the data using wavelet transform and performing auto-encoding on the data. The process includes removal of noise, preprocessing, feature selection, data mining, analysis and derivations. This project focuses mainly on the use of LSTM algorithm along with a layer of neural network to forecast stock prices and allocate stocks to maximize the profit within the risk factor range of the stock buyers and sellers.
Design and Development of Miniaturized Planar Array Antenna for Multi Functional Radar
Authors:   Department of E.C.E, JNTU Anantapuramu, Anantapuramu, India., Kumar* P Sai Vinay , Prasad M N Giri ,   Department of E.C.E, JNTU Anantapuramu, Anantapuramu, India.
Published: November 2019

Miniaturized multi functional planner array antennas are presented for both L and S bands in this paper. A 3x8 array is proposed and the distance between antenna elements is only λ/2 so that size reduced significantly. The two dielectric substrates FR4 and RT duriod 6010 are used for different antennas. The antenna with FR4 substrate is fabricated and compared the results with simulated values. Coaxial feeding technique is adopted. Dual frequency multi functional array is simulated .Better gains, return losses and radiation patterns are obtained .The circular polarization is obtained by truncating the elements and it is useful for navigation. The results are compared with existing multi object tracking radar (MOTR).
Optimization-based Offloading Method for Mobile Cloud Computing Environment
Authors:   Research Scholar, Department of Computer Science, Periyar E.V.R College, Tiruchirappalli, Tamil Nadu, India, Arun* Lakshna , Ravi T.N. ,   Assistant Professor, Department of Computer Science, Periyar E.V.R College, Tiruchirappalli, Tamil Nadu, India.
Published: November 2019

Mobile cloud computing (MCC) is a program that should be applied to defeat the hurdles of computing in the mobile environment. Though developing data-intensive purposes, such as Natural Language Processing (NLP) and face recognition, takes more difficulties on mobile cloud computing stages because of data location and high bandwidth cost issues. To overcome these issues, this paper proposes a dynamic task (resources) allocation model to schedule data-intensive applications on mixed resources (public cloud, cloudlets, and mobile devices) computing environments. Efficient task allocation strategy requires to develop by estimating the number of intentions while performing the decisions of allocation, such as fast response and reduced consumption of energy, to obtain the most reliable task allocation providing the requirements of cloud users and increasing the MCC environment performance. In this paper, Cultural Algorithm (CA) based offloading strategy is proposed for obtaining the minimized task execution time by causing smart decisions for allocation. This proposed algorithm has been implemented using a cloudsim toolkit, and the performance is estimated by analyzing with Genetic and greedy algorithm allocation techniques on a collection of parameters like throughput and makespan for scheduling the resource.
Development of a Computer Application for the Calculation of Water Quality Index in Morocco
Authors:   Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, PO. Box 6202 - Madinat Al Irfane - Rabat, Morocco., Soumaila* Kanga Idé , Mustapha Naimi ,   Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, PO. Box 6202 - Madinat Al Irfane - Rabat, Morocco., Mohamed Chikhaoui ,   Soil and Water Conservation Laboratory, Department of Natural Resources and Environment, Hassan II Institute of Agronomy & Veterinary Medicine, PO. Box 6202 - Madinat Al Irfane - Rabat, Morocco., Laouali Ada Aya ,   Global Navigation Satellite System Laboratory, Hassan II Institute of Agronomy & Veterinary Medicine, PO. Box 6202 - Madinat Al Irfane - Rabat, Morocco.
Published: November 2019

Water quality indices are generally a combination of biological, chemical, physical parameters to form a numerical composite index that can be easily interpreted and shared. Their efficiency and usefulness in managing and monitoring water quality have been appreciated by management organizations around the world. The integration of these tools into computer applications can be a major asset. The main purpose of this article is to present a computer application that integrates a water quality index developed in Morocco to facilitate its use and avoid manual errors related to users. The application entirely developed in python language under PyCharm (Integrated Development Environment) is executable on a computer and is presented as a GUI (Graphical User Interface) containing two sub-interfaces to calculate the surface and groundwater quality index according to the type of water analyzed.
Implementation of Link Fingerprint Verification and Data Provenance using RSSI
Authors:   Assistance Professor, Department of Computer Science and Engineering, Visvodaya Engineering College, Kavali, (A.P.) India., Venkateswarlu* Ch. , Maheswari P. Uma ,   Department of Computer Science and Engineering,, PBR Visvodaya Institute Of Technology And Science, Kavali, (AP), India
Published: November 2019

Due to constrained assets and adaptability, security protocol for Internet of Things (IoT) should be light-weighted. The cryptographic solutions are not possible to apply on little and low-power devices of IoT in view of their power and space impediments. In this paper, a light-weight protocol to verify the information and accomplishing information provenance is introduced for multi-hop IoT arrange. The Received Signal Strength Indicator (RSSI) of conveying IoT nodes are utilized to produce the connection fingerprints. The connection fingerprints are coordinated at the server to process the relationship coefficient. Higher the estimation of connection coefficient, higher the rates of verified information move. Lower worth gives the recognition of ill-disposed node in the middle of a particular connection. Information provenance has additionally been accomplished by examination of pocket header with all the accessible connection fingerprints at the server. The time unpredictability is processed at the node and server level, which is O(1). The power scattering is determined for IoT nodes and overall network. The outcomes demonstrate that the power utilization of the framework and time complexity. Exploratory outcomes show that up to 97% connection is accomplished when no attacker node is available in the IoT network.
Harmonic Mitigation of PV Based Grid-Connected Hybrid System using ANFIS
Authors:   PG Scholar, Department Of EEE, CMR College Of Engineering & Technology, Kandlakoya, Hyderabad, Telangana., Swetha* M. , kumar M.Suneel ,   Assistant Professor, Department Of EEE, CMR College Of Engineering & Technology, Kandlakoya, Hyderabad, Telangana., Muthubalaji S. ,   Professor, Department Of EEE, CMR College Of Engineering & Technology, Kandlakoya, Hyderabad, Telangana.
Published: November 2019

Deriving quality power is the vital problem in power system network. The main focus of the paper is to reduce the power quality issues mainly the reduction of harmonics using source compensation technique. This paper proposes a grid integrated hybrid system with ANFIS. This hybrid system mainly consists of PV panel, inverters, fuel cell, batteries and filters. Based on working principle and characteristics of the proposed hybrid system, the composite control strategy about active power, reactive power and harmonic suppression is proposed. The composite control strategy are of two loops ie., a single closed-loop control response active power and reactive power, double closed-loop control responses harmonics. Both balanced source condition and unbalanced source condition for three phase system are developed by Simulink model. The balanced and unbalanced source performance is done by using ANFIS. PI controller and ANFIS are compared with their Simulink results. Simulation results shows the performance of ANFIS is better than PI controller.
Diagnosis of Diabetes by using Data Mining Techniques
Authors:   M.Tech, Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana India., kumar* Sachin , Kumar Mr. Narender ,   Assistant Professor, Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana India.
Published: November 2019

There are many classifiers that are used for diagnosis of diabetes but the result of this paper shows that how logistic regression having best accuracy among the other classifiers. Logistic regression removes the disadvantages of linear regression. There are different classifiers that are used for prediction. In the worldwide millions of peoples are suffering from diabetes according to WHO report. In the medical region, many researches have done with the help of data mining. The aim of this paper is to diagnosis of diabetes by using the best classifiers and providing best parameter tuning. The study helps to find whether a patient is enduring from diabetes or not using classification methods and it further investigate and evaluates the functioning of different classification in relations of precision, accuracy, recall & roc.
Political Ideologies Language from the Perspective of Modern Western Society
Authors:   Department of Philosophy, Faculty of Linguistics and Social Communications, National Aviation university, Kyiv, Ukraine., Abysova* Mariia A. , Antipova Olha P. ,   Department of the Preparation of Educational and Scientific Literature, National Academy of Internal Affairs, Kyiv, Ukraine.
Published: November 2019

The research is aimed at revealing the linguo-discursive features of political interaction within the framework of liberal-democratic ideological communication in the modern perspective. The task of substantiating the key foundations for the perception of language of political ideology as a linguo-discursive process of mutual adaptation of the state and civil society as subjects of political communication is addressed. The study is anchored in the neoclassical scientific paradigm, within which framework critical rethinking of the political discourse-analysis methodology is carried out. We proceed from the fact that ideology is a representation of a certain set of language elements, so the study of the ideology language serves to reconstruct the discursive base of ideology and the imperatives underlying it. It is shown that the study of language of political ideologies engenders the emergence of parallel centers of power in the sphere of statehood. The growth of destructive elements of communicative interactions in liberal democratic society is revealed, in particular an increase in the discursive means that serve an effective tool of denying the democratic process is identified. his study can be useful in the area of political science, namely in the political practice of liberal-democratic society. The findings are applicable in establishing the factors of destruction of social and political dialogue. In this context, the research can offer solutions, provide resources for politicians and organizations in optimizing the dialogue of political communication subjects. Drawing from Freeden’s morphological approach of studying the ideological discourse, as well as critical discourse studies of van Dijk, the research bridges the gap between the studies of the classical philosophical thought and neoclassical scientific paradigm in comprehending the role of political ideologies language. The current study urges a critical rethinking of methodology of political discourse analysis.
Image Feature Selection using Ant Colony Optimization
Authors:   Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Indore, Madhya Pradesh, India, Sharma* Richa , Purohit Anuradha ,   Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Indore, Madhya Pradesh, India
Published: November 2019

With the enhancement in imaging technology, huge amount of information is being created whose classification is a challenging task among researchers. The classification performance is solely dependent on the quality of the features defining the respective images. Hence, feature extraction from images and feature selection from this huge data is required. Image Feature Selection is a vital step which can significantly affect the performance of image classification system. This paper proposes an efficient combination of image feature extraction technique and feature selection strategy using Ant Colony Optimization (ACO). ACO utilizes overall subsets performance and local feature importance to fetch problem domain finding prime solutions. For ACO based feature selection in images most of the researchers use priori information of features. However, in this work, the features are extracted separately through the detailed analytical process which carries the best suited features for different classes of images. The performance in terms of classification accuracy has been enhanced through the optimization of features in the dataset. For experimentation and evaluating the performance of proposed work, Corel and Caltech datasets are used. Satisfactory results have been obtained with the proposed approach.
Building The Village of People Become a Healthy and Productive Community
Authors:   Electrical Engineering and Engineer Profession Program Department at Universitas Muhammadiyah Yogyakarta, Indonesia, Dr., Iswanto.*  , Prasetyoningsih Nanik ,   Lecturer and Researcher in the Faculty of Law at Universitas Muhammadiyah Yogyakarta., Gendroyono  ,   Lecturer and Researcher, English Education Department, Universitas Muhammadiyah Yogyakarta., Nugroho Guntur ,   Lecturer and Researcher, Department of Civil Engineering, Universitas Muhammadiyah Yogyakarta., Sulistyo Meiyanto Eko ,   Assistant Professor, Department of Electrical Engineering, Faculty of Engineering, Universitas Sebelas Maret (UNS), Indonesia.
Published: November 2019

Dusun Penggung is one of the Dusun (sub-village) located in Giripurwo village, Girimulyo district, Kulonprogo regency. The geographical condition, dry soil nd far distance from the city are the main factors of underdeveloped village. Most of the people work as rice and corn farmers. During the dry season, there is a decline in agricultural activities because lack of water so that the people leave the farmer works to raising livestock and cultivating fish. The problem that occurs is the lack of skill in utilizating cattle dung to be used as soil fertilizer, in fish farming which has a great potential to increase income, in the health sector where the majority of Dusun Penggung residents work from morning to evening, which should require special attention on the health. Based on these potentials and problems, building village society to be a healthy and productive society program was conducted. The objectives of the program are to increase the knowledge and insight on the use of animal manure as fertilizer, increase understanding of fish farming procedures and productivity by making proper constructed fish ponds, provide information about various plants that are beneficial to health, and provide knowledge about telang flowers tea and natural dyes to maintain health. The main programs carried out included the utilization of animal manure, counseling and training on fish farming, counseling and training on planting, and utilization of telang flowers tea for health.
The Students’ Ability on Comparison Degree in Irregular Form
Authors: Fatimah Siti Nur
Published: November 2019

The study is designed to investigate the students’ ability in using comparison degree on learning English especially in using irregular forms. To look their understanding about this matery the writer used method design descriptive design. Comparison degree was a compare between noun, people, and animal. Comparison degree has three type that was positive degree, comparative degree, and superlative degree. In taked the data of this study, the writer especially in taked data of comparative degree and superlative degree but just irregular forms. The sampling of data, the writer choose the students of the first grade at Madrasah Aliyah Muhammadiyah Aimas of number 20 person. The writer used written test as tools to take the data that was multiple-choise of number eighteen comparative degree and seventeen to superlative degree. Before doing research, the writer explains about comparison degree in irregular forms to the students and then the writer given tast about comparative degree in irregular forms to the students. First step done the author was giving material of paper to students about comparison degree in irregular form and both steps given the students exercise about matery had given as multiple-chooise. After that, exercise correct and analyze. By this test given by the author getting the data for her research. From 12 students of first grade at Madrasah Aliyah Muhammadiyah Aimas got score, to comparative degree in worse = 69%, better = 62%, farther = 85%, less = 69%, more = 96%, elder = 7,7%. Commonly, their ability can be seen based on the score of test, in which they got their mean of score of test was 47%. The writer can explain that the students of the first grade at Madrasah Aliyah Muhammadiyah Aimas yet understand about comparative degree, their ability was still including in bad category, and superlative degree specifically on worst = 65%, best = 50%, farthest = 23%, least = 8%, most   = 31%, Eldest = 89%. In overall, can be seen their mean score of superlative degree = 32%. It means that their ability in superlative degree was very bad. By this result, the writer found that the students understanding on superlative degree was still very minus.
PENGARUH SUHU HYDROTHERMAL TERHADAP KARAKTERISTIK ZEOLIT YANG DISINTESIS DARI LIMBAH GEOTHERMAL
Authors: Deni Fajar Fitriyana , Sulardjaka Sulardjaka , Norman Iskandar , M. Dzulfikar M. Dzulfikar
Published: November 2019

Telah dilakukan sintesis zeolite berbahan dasar limbah geothermal dari Pembangkit Listrik Tenaga Panas Bumi (PLTP) Geo Dipa Energi, Dieng, Wonosobo, Jawa Tengah. Penelitian ini bertujuan untuk meneliti pengaruh suhu hidrotermal terhadap karakteristik zeolit yang disintesis dari limbah geothermal. Sebelum digunakan sebagai bahan dasar sintesis, lumpur geothermal terlebih dahulu dilakukan kalsinasi pada suhu 850oC selama 3 jam. Sintesis menggunakan metode hidrotermal dengan variasi suhu 100oC, 110oC dan 120oC selama 5 jam dengan pH > 12. Karakterisasi produk sintesis dilakukan dengan menggunakan spektroskopi serapan atom (AAS), difraktometer sinar-x (XRD) dan scanning electron microscope (SEM). Dari hasil uji AAS kandungan silika pada lumpur geothermal setelah proses kalsinasi meningkat dari 49,1% menjadi 80.0426%. Dari hasil analisis data XRD dan SEM, proses sintesis menghasikan zeolit A (variasi suhu 100oC, 110oC) dan sodalit (variasi suhu 120oC).Kata Kunci: Sintesis, hidrotermal, zeolit A, Sodalit
PENGARUH VARIASI WAKTU AGING TERHADAP SIFAT MEKANIS PADUAN ALUMINIUM COR A356 SEBAGAI BAHAN PROPELER KAPAL
Authors: Suyanto Suyanto , Pramono Sri , Wibowo Riyanto
Published: November 2019

Salah satu cara untuk meningkatkan sifat mekanis bahan aluminium paduan adalah dengan perlakuan panas T6. Perlakuan panas yang dilakukan meliputi langkah: 1) solutioning yaitu menahan material pada suhu 540 oC selama 1 jam, 2) quenching yaitu melakukan pendinginan cepat dengan mencelupkan material ke dalam air pada suhu kamar, dan 3) aging yaitu menahan material pada suhu aging 180 oC selama 1, 2, 3, dan 4 jam. Hasil dari uji tarik dan kekerasan menunjukkan bahwa nilai kekuatan tarik dan kekerasan tertinggi dicapai pada waktu aging 3 jam, dengan nilai berturut-turut 181,8 MPa dan 97,7 HRB. Waktu aging melebihi 4 jam akan berpengaruh pada penurunan kekuatan tarik dan kekerasan material.Kata kunci: aluminium, kekerasan, kekuatan, T6
PERDARAHAN UTERUS ABNORMAL PADA PENGGUNAAN KONTRASEPSI SUNTIK 3 BULAN
Authors: Dwi Erni , Hupitoyo Hupitoyo , Suciningtya Lia
Published: November 2019

Abnormal uterine bleeding is caused by hormonal disorders, genetic organic and postcoital bleeding.Bleeding can be acute, chronic and interrupted. One of the factors that suspected to be cause of abnormal uterine bleeding is contraseption of DMPA. The purpose of this research to know the correlation between abnormal uterine bleeding incidence with 3 months of injectable contraception. This research is analytic with cross sectional approach, population of 34 who experience abnormaluterine bleeding, sampling technique used is total sampling with a total sample of 34 respondents andaccording to inclusion criteria. This research using medical record then observed with checklist compiled by researcher, then data analyzed by coefisien contingensi test with significance level 0,05 that show ρ-value=0,056 > 0,05 it’s mean there is no corelation between abnormal uterine bleeding incedence with 3 month injectable contraception. Based on the results above, need for furtherevaluation of risk factors for abnormal uterine bleeding incidence.
Keywords: Abnormal Uterus Bleeding, 3 Months Injectable Contraception
Self Effficacy Pada Remaja Putri Yang Mengalami Dating Violence
Authors: Setyarini Didien Ika , Triningsih Reni Wahyu
Published: November 2019

Kekerasan dalam pacaran merupakan fenomena sosial dan kesehatan yang cukup banyak terjadi di masyarakat serta mendatangkan dampak negatif bagi tumbuh kembang remaja. Banyak faktor yang mempengaruhi terjadinya kekerasan dalam pacaran, salah satunya adalah self efficacy. Penelitian ini bertujuan untuk menganalisis hubungan antara self efficacy dengan dating violence pada remaja putri di SMAN 7 kota Malang. Desain penelitian cross sectional. Populasi dalam penelitian ini adalah semua remaja putri kelas XI dan XII di SMAN 7 kota Malang yang telah memenuhi kriteria inklusi berjumlah 98 siswi. Besar sample berjumlah 49 siswi. Pengukuran kekerasan dalam pacaran menggunakan alat ukur The Revised Conflict Tactics Scales 2 dan pengukuran self efficacy menggunakan Self Efficacy Scale. Data dinalisis menggunakan Spearman’s Rank. Hasil dari penelitian ini menunjukkan nilai Correlation Coefficient sebesar -0,937 dengan  Sig. (2-tailed) = 0,000 < 0,05. Oleh karena ρ < 0,05 maka H0 ditolak, artinya terdapat hubungan antara  self efficacy  dengan  dating violence pada remaja putri di SMAN 7  Kota Malang. Nilai korelasi Spearmen’s – 0,937 menunjukkan korelasi negatif artinya semakin tinggi efikasi diri maka semakin rendah dating violence yang dialami oleh remaja putri, begitupun sebaliknya semakin rendah efikasi diri maka kecenderungan mengalami kekerasan dalam pacaran lebih besar.Kata kunci: Self Efficacy, Dating Violence, Remaja Putri.
Lama Kala I Fase Aktif Pada Perlakuan Transcutaneous Electrical Nerve Stimulation (TENS)
Authors: Panggayuh Ardi , Kuswiyati Ari
Published: November 2019

AbstrakPartus lama merupakan salah satu komplikasi persalinan yang disebabkan karena kerja uterus yang tidak adekuat. Kerja uterus tidak adekuat bisa disebabkan oleh nyeri persalinan yang berlebihan yang bisa dikurangi dengan salah satu metode yaitu Transcutaneous Electrical Nerve Stimulation (TENS). Penelitian ini bertujuan untuk mengetahui pengaruh TENS terhadap lama persalinan kala I fase aktif. Desain penelitian pra eksperimental, dengan rancangan one-shoot case study. Dengan sampling secara purposive, didapatkan 16 ibu bersalin yang sesuai dengan kriteria inklusi. Seluruh sampel diberi perlakuan TENS, kemudian dilakukan observasi dengan menggunakan lembar observasi (partograf). Hasil analisis One-Sample Chi-Square menunjukkan p value 0,002  < α = 0,05, yang menunjukkan adanya pengaruh TENS terhadap lama persalinan kala I fase aktif pada ibu bersalin di PMB Kasih Kota Malang. TENS dapat mempercepat lama persalinan kala I fase aktif.Kata kunci: Transcutaneous Electrical Nerve Stimulation, lama persalinan, kala I fase aktif.
POLA ASUH ORANG TUA TERHADAP PERKEMBANGAN MENTAL EMOSIOAL ANAK USIA PRA SEKOLAH (4-6 TAHUN)
Authors: Suharno Budi , Tristanti Lila
Published: November 2019

AbstrakPola asuh yang di terapkan orang tua kepada anak, akan mempengaruhi beberapa perkembangan, salah satunya yaitu perkembangan mental emosional anak. Penelitian ini bertujuan untuk mengetahui hubungan pola asuh orang tua terhadap perkembangan mental emosional anak usia pra sekolah (4-6 tahun). Metode penelitian analitik korelasi dengan pendekatan cross setional. Populasi semua orang tuanya di TK Aisyiyah (ABA) 24 Malang sejumlah 88 responden. Teknik sampling simple random sampling, sebanyak 72 responden. Instrumen pengumpulan data kuesioner pada pola asuh masalah mental emosional (KMME). Melalui  uji  statistik    Chi-square  dengan  α  0,05;  derajat  kebebasan (dk)  (2),didapatkan X2 tabel = 5,991 dan X2 hitung = 7,903. maka H0  ditolak, artinya ada hubungan yang signifikasi antara pola asuh orang tua terhadap perkembangan mental emosional anak di TK Aisyiyah (ABA) 24 Malang. Pola asuh yang diterapkan sebagian besar demokratis, dan anak tidak mengalami gangguan mental emosional.  Kata Kunci: Pola Asuh, Perkembangan Mental Emosional