bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Invariant Local Features for Multiple Satellite Image Matching and Registration
Authors:   Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India., Anil* N.S. , D.N Chandrappa ,   Department of Electronics and Communication, Engineering, SJB Institute of Technology, BGS Health and Education City, Kengeri, Bangalore, India.
Published: December 2019

Automatic image registration (IR) is very challenging and very important in the field of hyperspectral remote sensing data. Efficient autonomous IR method is needed with high precision, fast, and robust. A key operation of IR is to align the multiple images in single co-ordinate system for extracting and identifying variation between images considered. In this paper, presented a feature descriptor by combining features from both Feature from Accelerated Segment Test (FAST) and Binary Robust Invariant Scalable Key point (BRISK). The proposed hybrid invariant local features (HILF) descriptor extract useful and similar feature sets from reference and source images. The feature matching method allows finding precise relationship or matching among two feature sets. An experimental analysis described the outcome BRISK, FASK and proposed HILF in terms of inliers ratio and repeatability evaluation metrics.
Effect of Carbon Nano Tube Addition with Dielectric Fluid in Die Sink EDM
Authors:   Research Scholar, Koneru Lakshmaiah Education Foundation ,Vijayawada, AP, India and working as an Assistant Professor in Department of Mechanical Engineering, SGMCOE, Mahagaon, Gadhinglaj, MH, India, Mulla* Mr. Moshim Gulab , Kumar Dr. Anshuman ,   Associate Professor in Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation ,Vijayawada, AP, India.
Published: December 2019

Advance machining processes such as Electrical Discharge Machining (EDM) have been extensively discussed these days due to its novel applications in industry. Series of experiments are conducted across various researchers for performance improvement of the EDM process. Mixing micro/nano powder in working fluid for better result of material removal rate is one of the developments in conventional EDM process, known as Powder Mixed EDM. Many Researchers got successes in getting mirror like surface finish in PMEDM at low energy level, but still there will be improvements are possible by using Nano powders. Due to excellent performance in dielectric and better physical properties of the Carbon Nano Tubes (CNT’s), there is need of generalization of CNT based Powder Mixed Electric Discharge Machining (CNT-PMEDM) to increase industrial application. But less work has been reported in NPMEDM, this paper aim is to discuss all CNT’s based experimental investigation in Die Sink EDM process and its future scope to help the researchers for further development in it. In this paper details about Carbon Nano Tube and its applications as additives in EDM process to get better results are presented which helps for finding research gap and future scope in CNT-PMEDM process.
Strongly Multiplicative Labeling on subdivision of Triangular Snake & Ladder graphs, Cyclic Quadrilateral & Pentagonal snake graphs
Authors:   Department of Mathematics, Quaid-E-Millath Goverment College for Woman, Chennai, India., Maheswari* Dr.A.Uma , Azhagarasi Ms.S. ,   research scholar, Department of Mathematics, Quaid-e-Millath Govt College for Women, Chennai, India.
Published: December 2019

In this paper we study the specific families of graphs which admit strongly multiplicative labeling. It is proved that the Subdivision of Triangular Snake, Subdivision of Alternate Triangular Snake and Subdivision of Ladder are strongly multiplicative graphs. In this paper it is also established that Cyclic Quadrilateral Snakes admit strongly multiplicative labeling. Also Cyclic Pentagonal Snakes and corona graph of TnΘk2 admit strongly multiplicative labeling. Suitable examples are given to establish the strongly multiplicative labeling on these graphs.
Sustainability Reporting of REIT Companies in Malaysia
Authors:   Department of Accounting and Finance, Faculty of Economics and Management, UPM., Said* Ridzwana Mohd , Yuen Ling Poh ,   Faculty of Economics and Management, UPM., Kamarudin Fakarudin ,   Department of Accounting and Finance, Faculty of Economics and Management, UPM., Senik Rosmila ,   Department of Accounting and Finance, Faculty of Economics and Management, UPM., Rashid Norfadzilah ,   Faculty of Economics & Management Science, University Sultan Zainal Abidin, Terengganu, Malaysia.
Published: December 2019

Although there is growing awareness of corporate social responsibility, sustainability reporting is still not commonly practiced by companies in Malaysia. Sustainability reporting consists of three dimensions, which include economic, environmental and social sustainability disclosure. The objective of the present study is to examine the extensiveness of sustainability reporting by 17 public listed real estate investment trust (REIT) companies. REIT sector has been chosen because it is closely related to construction activities, which could affect the environment but still plays an important role in boosting the country’s economic growth. Besides, sustainability reporting of REIT companies will also be examined based on application level of GRI. GRI is a corporate sustainability reporting framework that provides various indicators to measure these aspects comprehensively. The findings from content analysis reveals that economic aspect is highly disclosed as compared to environmental and social aspects of sustainability reporting by REIT companies. It also shows that REIT companies in Malaysia do not apply GRI in annual reports for sustainability reporting as they fail to achieve minimum application level of GRI. As there are only a few papers investigating the use of GRI for sustainability reporting by REIT sector in Malaysia, the findings from this study contribute to increase awareness among companies in REIT sector to make active contribution and increase their disclosure for economic, environmental and social aspects. Additionally, the regulators have the responsibility to enforce rules and regulations for higher disclosure of sustainability information as one mean of delivering accountability to wider stakeholders.
Robust Modelling to Jointly Address Security Threats, Bandwidth Utilization, and Energy issues in IoT
Authors:   Assistant Professor, Department of Computer Science and Engineering, CITech, Bangalore, India., Ambore* Bhagyashree , L Suresh ,   Pricipal and Professor, Department of Computer Science and Engineering, CITech, Bangalore, India.
Published: December 2019

The advent of Internet-of-Things (IoT) revolutionizes the mechanism of connectivity of massive chains of machine offering better improvement in data communication and analytical services. Review of existing approaches towards IoT performance improvement shows that there are still larger scope of enhancing the present solution. The proposed system introduces a mechanism where 3 different problems has been jointly addressed viz. security issues, channel capacity issues, energy depletion issues. The proposed model uses analytical research methodology where energy problem is offered common focus and linked with other two problem using stochastic method, probability logic, decision-making approach, packet scheduling, etc. The simulation outcome of the study shows that proposed system offers better energy efficiency, better resistivity against threats, and effective optimization of the bandwidth in contrast to existing related mechanism towards IoT ecosystem.
Deep Learning Mechanism Augmented with 16-Hybrid Cellular Automata For Secondary Structure Prediction
Authors:   Professor, Dept of CSE, Shri Vishnu Engineering College for Women, Bhimavaram, Sreee* Dr P.Kiran
Published: December 2019

A protein plays various role in our human body like cellular development, reproduction, endurance and regulation of human body. Based on the structure of the genes we can extract lots of information regarding the human body. It is very easy to extract lots of information from a structure than a sequence. Identifying the protein structure helps in drug design. The secondary structure, to some extent tells about the effect of amino acid changes and explains the reason for the disease of an individual. A doctor can suggest medicines without any side effects to a patient based on the protein structure acquired from DNA.We have developed a classifier DL-16-MACA which can predict the secondary structure of an amino acid sequence of different lengths. In this prediction we have considered three classes Helix (H), Strands (E), Coiled(C). For Helix class the sensitivity, percentage accuracy is 0.923 and 90.6% respectively. For Strands class the sensitivity, percentage accuracy is 0.852 and 85.55%respectively. For Coiled class the sensitivity, percentage accuracy is 0.789 and 77.1% respectively. The percentage accuracy when tested with PDB datasets is 85.4% which substantially comparable with existing literature.
Techno-economic Analysis & Optimal Planning of Hybrid Renewable Energy Systems
Authors:   Dean, RRSIMT Amethi, UP ,India., Sutar* Chandarani , Singh Dr. Deependra ,   Professor,EED, KNIT, Sultanpur, UP ,India., Verma Dr. K S ,   Professor,EED, KNIT,Sultanpur,UP ,India.
Published: December 2019

The global climate change and rapidly growing population over the decades are creating an enormous burden on conventional energy sources. Global environmental concern is expected for the proper planning of renewable sources to increase a positive impact on global warming. The hybrid renewable energy system is proposed for optimum sizing, costing, quality, and reliability of supply for the standalone system. This research study also includes a multi-objective optimization of the Net Present Cost (NPC)t, fuel cost, operating cost, and Cost of Energy of the hybrid system. A hybrid renewable energy system has been designed, which includes solar, wind, battery, and diesel generator for a standalone off-grid. The simulation and techno-economic analysis of case studies indicate that the hybrid system decreases the operating cost according to meteorological conditions. The employed algorithm, for power management, results in minimum use of diesel generator and a reduction in fuel cost. Furthermore, the proposed system shows better results when analyzed for Loss of power supply probability, Renewable factor, Carbon content, and Sensitivity. Thus, the proposed model proves that minimum utilization of diesel generator requires maximum utilization of renewable energy sources, thereby reducing the emission of greenhouse gases and reducing global warming.
Monitoring and Analysis of Water Quality Parameters for Diagnosis of Safe Drinking Purpose using Wireless Sensor Network
Authors:   Department of EIE, Kongu Engineering College, Erode, Tamil Nadu, India., Devi T* Kalavathi , P Sakthivel ,   Department of EEE, Velalar College of Engineering and Technology, Erode, Tamil Nadu. India
Published: December 2019

In the 21st century, the world had advanced through lots of innovations; its parallel impact in the form of pollutions, global warming and climatic change crisis are being raised. These crises create a gap in terms climatic changes, poor air quality, and unsafe drinking water for the population around the world. Among all pollutants, water pollution is a thrust area as it is a prominent parameter in the food chain of living things. There are huge numbers of diseases that are attributed due to polluted water. The water sources are mainly polluted due to untreated sewage and industry discharges. But mainly industrial wastewater discharge contributes to the accelerated pollution in the water bodies. The proposed design focuses on monitoring the water quality parameters like pH, TDS, TOC, and Chlorine content, conductivity etc., using wireless Sensor Nodes around open ponds and wells near tannery units. The data is transmitted to the cloud, and further information is given to the people through GSM. Repository of data is maintained in order to take it for further analysis. Results obtained from the model indicate the values of the above mentioned parameters.
A Design of a Patient-Customized Healthcare System for Learning Blood Circulation System (I-Lbcs) by Game - Learning Environment (G-Le)
Authors:   Department of CSE, Easwari Engineering College, India., Kumar* P.Hari , Devan K.P.K. ,   Department of CSE, Easwari Engineering College, India., Anandkumar Dr.K.M. ,   Department of CSE, Easwari Engineering College, India., Arunprakash Dr.R. ,   Dept of Computer Science and Engineering, University College of Engineering, Ariyalur .Tamil Nadu, India.
Published: December 2019

An Improved-Human Blood Circulatory System (I-LBCS) is critical to educate.Be that as it may, it is hard to get it. Thisi-LBCS method to comprehend through LA. This application will give the i-LBCS progressively intuitive and intriguing, in which game -player engaged with the game. The plan and build up a game method on Android Studio (AS) that can assist a student with understanding configurations and standards of significant cells in the Human (HUM) Circulatory and Immune System (CIS) in Human Body (HB). These games generally focused on science subjects for grade HSC Students (STDNT).
Opinion Analysis on Twitter Data and Detecting Spam Tweets
Authors:   Department of Computer Science & Engineering, VIT University, Vellore, India., Duvvuru* Sai Charan Reddy , Chowdary Kommana N S V Srinesh ,   Department of Computer Science and Engineering,VIT University, Vellore, India., Reddy Tunga Sri Ashrith ,   Department of Computer Science &Engineering, VIT University, Vellore, India
Published: December 2019

Social network sites are getting to be noticeably awesome through a great many clients. The data that is accumulated from the clients has square with favorable circumstances to their companions and spammers. Twitter is a standout amongst the most well-known informal organizations that, clients can send short printed messages in particular tweet. Opinion analysis is utilized as a part of different fields to reach to a last reaction. For the most part different internet business sites utilize this analysis to enhance their organizations. In this project we used an improvised opinion analysis which includes spam recognition. Looks into have demonstrated that this specific system is additionally subjected to spammer's attack more than other informal communities and more than six percent of tweets are spam. So, analyze of the spam tweets is imperative. In this research we firstly decide different components that are in charge of spam tweets and after that we distinguish them. Previous works in this field of spam tweets were completed by classification algorithms. Results appear, when this specific algorithm is set reasonably to the measure of exactness and accuracy of spam tweets location will enhance and false positive rate will decrease to the base of an incentive in correlation with the previous works.
An Extended Hybrid Clustering Method Utilzing Svm As Cross Validator
Authors:   Assistant Professor, Guru Nanak Dev Engineering Collage, Ludhiana, Panjab, India., Sharma* Kapil , Saini Dr. Satish ,   Professor, Electronics and Communication Engineering School of Engineering, RIMT University, Mandi Gobindgarh, Panjab, India.
Published: December 2019

The massive data accumulation from the internet creates attention for the researchers. The data collected in the form of structured and unstructured data. The structured data consists of messages, transactions, conversations, etc. while unstructured represents video and audio clips. This essentially manages the raw data problem in which unreferenced clustering is used. A hybrid approach is proposed using Cosine Similarity and soft cosine. A novel clustering technique is designed which is cross-validated using the Support Vector Machine (SVM). The validated approach is further verified by using K- means clustering. The clustering results have been further evaluated using parameters precision, recall, and F-measure. The evaluated results show the improvement in precision and recall accuracy due to hybridization of cosine similarity and soft cosine techniques.
Healthcare Smartwatch for Monitoring Elderly
Authors:   Department of Technology (Computer Science), BML Munjal University, Gurugram, India., Rawal* Kush , Gabrani* Dr. Goldie ,   Professor, Department of Technology (Computer Science), BML Munjal University, Gurugram, India.
Published: December 2019

According to the data provided by the Census in 2011, around 15 million elderly live alone in India. An NGO from Delhi named Agewell Foundation performed a survey on 10,000 elderly individuals and concluded that every fourth elderly that is 23.44% of the people who responded were living alone [1]. They also reported that around 88.5% felt the need of healthcare monitoring to ensure their independence. A lot of research work is going on to come up with a perfect solution to solve this problem and there are many computing devices which have been invented which solve the problem partially faced by elderly people. But none of them provide a solution which is convenient to use and which covers all aspects of the problem ranging from medicine reminders for elderly to proper maintaining of health records and it’s timely reporting to the doctor and family members even during emergencies such as a cardiac arrest. This paper proposes a neat solution to help monitor the daily reports of the elderly by automatically sending the data [12] (real-time [10][15] heart rate and current location measured by smartwatch; blood pressure measured by machine; sugar level measured by machine) to their family via android application and also provide 1st degree detection of cardiac arrest and prediction of heart problems up to some accuracy. It will provide medication [9] reminders to the elderly by three vibrations after an interval of 5 minutes during one course of medication and will also provide assistance during emergencies by sending an SOS call to the family or doctor. The smartwatch uses microcontroller ATmega328, SIM800L GSM module [11][14], RSI 0.96 inch 4 Pin OLED display module, HC-06 Bluetooth module, small LiPo battery, mini 1020 flat vibration motor, pulse sensor, GPS NEO 6M module [11], micro USB, button. This solution will not only help the elderly in rightly monitoring [8] their daily data [12] but also inform their family with their daily reports and any unusual changes. The smart watch acts as a care taker of the elderly people and it will be useful to the elderly who stay alone most of the time and it can even be used by others for proper maintaining of their health records, for medicine reminders and assistance during emergency conditions.
An Enhanced Iot Accommodation Technique towards Wireless Networks
Authors:   Assistant Professor, Department of CSE. Kakatiya Institute of Technology & Science, India, Ashmitha* G. , Niranjan P. ,   Professor, Department of CSE. Kakatiya Institute of Technology & Science, India, Moeed Syed Abdul ,   Assistant Professor, Department of CSE. Kakatiya Institute of Technology & Science, India
Published: December 2019

Mobile networks presently supply connectivity to an extensive variety of gadgets, enabling the progression of impressive brand-new solutions and apps. The Internet of Things (IoT) is actually counted on to result in the development of brand-new value in mix with huge information study technology, and also possess a considerable as well as good influence on people's lives and the economic condition. Therefore, it is actually vital to possess continual development as well as technology of each wired and cordless network innovations, while developing input/output stations and also cloud computing. This paper gives an improved IoT accommodation strategy to wireless networks
Various Non-Conventional Machining methods for Aluminium Metal Matrix Composites
Authors:   Research Scholar and currently pursuing doctorate degree program in Mechanical Engineering in I.K.G. Punjab Technical University Kapurthalla, Punjab, India, Singh* Jaspreet , Saini Dr. Sanjeev ,   Assistant Professor in Department of Mechanical Engineering, DAVIET, Jalandhar, Punjab, India
Published: December 2019

The work reviewed here an overview of the current investigates about the machining of Aluminum metal matrix composite (MMC) which is major concern now a day’s industry. There is an increase demand of the development of advanced metals for many industrial applications, to complete such demands metal matrix composites are the right solution. Metal Matrix Composites (MMCs) have higher strength to weight ratio and their properties may be tailored as per the industrial requirements. The main purpose of machining is to produce a product of desired shape and size with specific quality and surface finish by removing a material in the shape of chips and it is affected by cutting parameters like feed rate and depth of cut also the selection of cutting tool plays a major role. However, MMC’s are highly abrasive and tools can wear rapidly, machining of these materials attracted researchers and industrial community a lot. So various tooling systems like Carbides, either plain or coated for tool of milling, drilling, and non-traditional methods of machining are also use to achieve the high durability, dimensional tolerances, functional requirements and surface quality of such materials after machining of MMCs. After machining analysis of the experimental data collected from various combination of analysis, methods are to be uses as ANN artificial neural network, analysis of variance (ANOVA) and TELBO techniques and Multilayer perceptron model will be constructed. On completion of the test, the techniques are to be used in authenticate the result found and to expect the behavior of the system.
FSEFST:Feature Selection and Extraction using Feature Subset Technique in High Dimensional Data
Authors:   Department of CSE, Bangalore University,Bangalore, India, K R* Radhika , C N Pushpa ,   Department of CSE, UVCE, Bangalore University, Bangalore, India., J Dr.Thriveni ,   Department of CSE, UVCE, Bangalore University, Bangalore, India., Vice-Chancellor Dr. Venugopal K R, ,   Bangalore University, Bangalore, India.
Published: December 2019

Dimensionality reduction is one of the pre-processing phases required when large amount of data is available. Feature selection and Feature Extraction are one of the methods used to reduce the dimensionality. Till now these methods were using separately so the resultant feature contains original or transformed data. An efficient algorithm for Feature Selection and Extraction using Feature Subset Technique in High Dimensional Data (FSEFST) has been proposed in order to select and extract the efficient features by using feature subset method where it will have both original and transformed data. The results prove that the suggested method is better as compared with the existing algorithm
The Effect of Audit Technique, Auditor Skill and Role of Whistleblower on Effectiveness of Government Audit
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia., Handoko* Bambang Leo , Putriani Andi Diana ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia.
Published: December 2019

This research sought to analyze how audit technique applied, auditors’ ability owned, and the role of whistleblower affect the effectiveness of investigative audit implementation in fraud disclosure. The technique used for obtaining the data was purposive sampling by distributing and collecting total of 87 questionnaires to the auditors who work at State Development Audit Agency (BPKP) Representative Office of Special Capital Region of Jakarta and Indonesian Supreme Audit Institution (BPK) in Jakarta. Data collected was processed by using statistical software with the method of multiple regression analysis. The result revealed that partially, auditors’ ability and the role of whistleblower have significant effect on effectiveness of investigative audit implementation in fraud disclosure with the auditors’ ability occured to be the most dominant variable. Meanwhile, audit technique has negative effect. Silmutaneously, it was discovered that the three variables have significant influence on effectiveness of investigative audit implementation in fraud disclosure.
Stability of Certain Discrete Fractional Equations of Order
Authors:   Department of Mathematics, Sacred Heart College, Tirupattur, Vellore Dist., Tamil Nadu, S. India., Selvam* A. George Maria , Vignesh D. ,   Department of Mathematics, Sacred Heart College, Tirupattur, Vellore Dist., Tamil Nadu, S. India.
Published: December 2019

The equations used to model a real life event is often nonlinear due to the fact that the linear terms fails to bring out various characteristics. Obtaining the exact solution of the nonlinear equation is complicated which makes one to deal with the qualitative properties of the equation. Simple Harmonic Motion (SHM) which is periodic in nature has numerous applications in clock, car shock absorbers, earth quake, heart beat etc and plays a important role in modeling the motion of a particle. In this paper, we consider a initial value discrete fractional equation. The Hyers-Ulam stability and Hyers-Ulam-Mittag-Leffler stability is established for the equation. The stability of discrete fractional simple pendulum equation is established with simulations.
Fantasy of Nature in River: A Tread into the Aesthetic Landscape of Ted Hughes
Authors:   Research Scholar, Christ (Deemed to be University), Assistant Professor, Krupanidhi Degree College, Bengaluru, India., Ruban* A.Fredrick , Backiavathy Dr. Helen Unius ,   Assistant Professor of English, School of Sciences, Arts, Media and Management, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: December 2019

Aesthetics studies the principles of beauty and examines the reader’s affective domain response to an object. As a philosophical approach to art and life, aesthetics has adoration for beauty as its chief value. Thus, aesthetics and beauty correspond to beget a real aesthetic resonance in poetry. Poetry and fantasy are interwoven to disseminate pulchritude in all the feasible ways through language and content. Poets have their own landscape to exhibit their alluring portraits; likewise, Ted Hughes has his own style of expressing aesthetic fantasies which have mesmerized millions of readers. The present research paper aims to explore the fantasies of Ted Hughes with reference to the poems of River. The objective of the present research paper is to elicit the alluring landscapes sketched in the selected poems of Ted Hughes’ River. Hughes is popularly designated as a nature poet and is appreciated for depicting multiple faces of nature. This research paper makes an aesthetic analysis of the selected poems of River to unveil the imbibed values of aestheticism such as ‘appreciation of nature’ and employing ‘imaginative faculty’. The selected poems for the present research are “Salmon Eggs”, “Japanese River Tales”, “Whiteness”, “Ophelia” and “Dee”.
Delta Ruled Fully Recurrent Deep Learning for Finger-Vein Verification
Authors:   Research Schalar, Department of Computer Science, Bharathiar University Arts and Science College-Modakkurichi, Erode,, RAKKIMUTHU* P. , DHARMALINGAM Dr.M. ,   Assistant Professor, Department of Computer Science, Bharathiar University Arts and Science College-Modakkurichi, Erode, Tamilnadu, India,
Published: December 2019

Finger-vein verification is a significant problem to be resolved in image processing because it provides high security in many practical applications. Few research works have been designed in conventional works using different machine learning techniques. However, the verification accuracy of existing algorithms was not sufficient. Also, the amount of time required for verifying the input finger vein image was more. In order to overcome such limitations, Delta Ruled Fully Recurrent Deep Learning (DRFRDL) technique is proposed. The DRFRDL technique comprises of three main layers namely input, hidden, output layer for accurate finger-vein authentication. The input layer in DRFRDL Technique takes a number of finger vein images as input and then sent it to the hidden layer. The designed DRFRDL technique used numbers of hidden layers in order to deeply examine the input finger vein images. The result of the hidden layer is feeding back into the network along with the inputs in order to find outs the vein features that exist in a given image. Followed by, the extracted vein features at hidden layers are transmitted to the output layer. In DRFRDL technique, output layer applies Gaussian activation function that calculates the features matching score via determining the association between extracted vein features and the vein features that are already stored in the database. After estimating the matching score, the output layer returns the verification result. If the output layer result is 1, then vein features are matched and the user is considered as authorized person. Otherwise, vein features are not matched and the user is considered as unauthorized person. Thus, DRFRDL technique increases the authentication performance of finger-vein with higher accuracy and minimal time. The simulation of DRFRDL Technique is conducted using metrics such as verification accuracy, verification time and false positive rate with respect to a different number of finger-vein images. The simulation results depict that the DRFRDL Technique is able to improve the accuracy and also reduces the amount of time needed for finger-vein verification when compared to state-of-the-art works.
Design and Optimization of Robot Support Structure for Inverted Operation
Authors:   Assistant Professor, Phd Scholar, Dept of Mechanical Engineering, SSSUTMS, Sehore, Bhopal, M.P, India, Pawar SSantosh H. , Selokar Dr.G.R. ,   Registrar in SSSUTMS, Sehore ,Bhopal, M.P, India.
Published: December 2019

In this paper we present an new method for optimization of robot structure for inverted operations, as rapid development is seen in the fields of robotics, robots are being designed for different operations. Robots move with higher speeds & create inertia loads, & during emergency operation there is sudden spike in load & the robot support structure needs to accommodate these loads. In this project we are analyze the robot support structure. Robot support structure means the main supportive member which is the base of the robot and it gives support as well as stabilization to the robot. 3D geometry of robot support structure is designed as per dimension in the workbench by using ANSYS 16.0. Upon applying boundary conditions such as robot weight, forces applied to his body and moments applied to the structure of the robot support. Following this, stress analysis, von-misses stress, total deformation of the structure of the robot support.
Identifying High Significance Input Factors in Strawberry Production using Linear Model
Authors:   Department of Information and Communication Engineering, Sunchon National University, Suncheon-Si, Republic of Korea, Shin* Changsun , Rahman* A.B.M. Salman ,   Department of Information and Communication Engineering, Sunchon National University, Suncheon-Si, Republic of Korea, Lee Myeongbae ,   Department of Information and Communication Engineering, Sunchon National University, Suncheon-Si, Republic of Korea, Park Jangwoo ,   Department of Information and Communication Engineering, Sunchon National University, Suncheon-Si, Republic of Korea, Cho Yongyun ,   Department of Information and Communication Engineering, Sunchon National University, Suncheon-Si, Republic of Korea
Published: December 2019

This study is focused on identifying the high significance of input factors in strawberry growth and production using a linear regression model. Greenhouse strawberry cultivation is increasing so fast due to the high demand for strawberry and farmers are also taking different types of technics for greenhouse cultivation to get high productions of strawberry. This study aims to increase the production of strawberries in order to maximize the profits from the cultivation of strawberries and also to fulfill the demand for strawberries. The strawberry data consist of average strawberry productions (AvgSP), electric conductivity (EC), potential of Hydrogen (PH) value, greenhouse inside temperature (Temp), greenhouse inside humidity, CO2, nutrient solution with water, and supply of water nutrient solution. To find out the relationship among each input factor we use the correlation method and after that based on the correlation we make different types of combination of input factors. In this study, we use the linear regression method to find out the R2 value and significance factors of different combinations of input factors. For the linear regression model we take average strawberry production as output and different combination of input factors as input. In result and discussion, we concluded the high significance input factors in strawberry growth production.
Characterization of Search and Rescue Aircraft
Authors:   Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Dengkil, Selangor, Malaysia., Suffian* Mohd Harridon Mohamed , Harun Mohd Khir ,   Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Dengkil, Selangor, Malaysia., Abdullah Muhd Siv Azhar Merican ,   St John Ambulance Wilayah Persekutuan, Malaysia., Kamaruddin Muhd Faiz Maula ,   St John Ambulance Putrajaya, Malaysia.
Published: December 2019

Several different aircraft have been used in aviation search and rescue mission. The use of the aircraft in such mission has been mostly for common purpose of scouring the sea or land to identify and locate the victims. In addition, they are also utilized for rescue mission with some specialized equipment onboard. This study aims to identify the myriad of aircraft that have been used in the aviation search and rescue mission, and perform the simplistic analysis on their common and uncommon denominators. Based on the results, it has been established that these aircraft often have a small capacity and perimeter coverage, with low flight pace and rate of climb performance capabilities.
Om Prakash Valmiki’s “Joothan”: An Authentic Depiction of Dalit’s Communal Space in the Artistic Endeavors of Autobiography
Authors:   Assistant Professor of English at Vel Tech Dr. Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Revathi* Ms. P. , Dr. Bindu  ,   Associate Professor, Department of English, School of Basic Sciences, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai, India.
Published: December 2019

The major focus of this piece of writing is to bring to the light the voice of an empowered writer Omprakash Valmiki.. “Joothan: A Dalit’s Life” is respectively chosen for the research as it brings out the malicious veracity of Dalit’s life in an authentic way. He took Dalit literature in his hand as a gizmo to carry out his anguish as a communal trauma of his community. Today his voice has been well recognized, and it stands as a robust right for his society He describes “his” experience as a Dalit, and the twinge that he underwent throughout his lifetime. Being human one must have autonomy, deference and sanctuary; but for Valmiki, it stood as a threat in the midst of the dominant elements of society. His autobiography emphasizes the significance of literature by endowing the platform in spreading the knowledge about Dalit lives and their individual experience in this civil society. In general, a Dalit tries not to divulge his identity as Dalit in the midst of “others”, but expresses his anger in clandestine space. This is due to an “intimidate syndrome” a natural outcome that a Dalit is always surrounded by. Dalit Studies are a rare glimpse that very few talk about it and dare enough to write. Omprakash Valmiki takes the smugness to bring out the marginalized issues into the world where the mainstream writers seldom mentioned the kind of turmoil in their works dealing with caste. Undeniably his writing is not a stuff of potboiler but proves to be a better medium to create consciousness in the society.
Development of the Crimean Agriculture
Authors:   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Jallal* Mir Abdul Kayum , Burkaltseva Diana ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Vorobyоva Elena ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Apatova Nataliya ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Blazhevich Oleg ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Betskov Aleksandr ,   Ministry of the Interior of Russian Federation, Moscow, Russia, Shcheglova Svetlana ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia., Kilyaskhanov Hizri ,   Moscow Region State University, Mytishchi, Moscow region, Russia., Mosina Inna ,   V.I. Vernadsky Crimean Federal University, Simferopol, Russia.
Published: December 2019

This article analyzes the Crimean agriculture to determine the factors for increasing the investment attractiveness of the agricultural region. It will allow building a food policy and determining its investment component, as well as identify the main development problems and develop proposals for measures to increase the level of rural development farms. The aim of the study is to assess the state of the agro-industrial complex of the Crimea, its investment component in building food policy. To achieve this goal, the following tasks solved. ● The economic characteristics of the agricultural sectors of the Crimea given; ● Crop production and animal husbandry analyzed; ● The activities of agricultural organizations analyzed; ● The indicators characterizing the degree of development of agriculture of the Crimea were assessment; ● The problems and prospects for the development of agriculture of the Crimea during the formation of food policy identified. The methods of analysis, synthesis, and graphic method used in this work. Conclusion/Results. Crimean agriculture has tremendous potential, but it is necessary to solve several problems for it development when building food policies. These problems are associated, firstly, with the extensive development of agriculture; secondly, with irrational use of water resources; thirdly, with outdated technologies and techniques; fourthly, poor transport logistics; fifthly, with a high cost of production. To overcome these problems and the successful functioning of agriculture and industrial complex (AIC) in the Crimea, it is necessary to perform the following actions: attract investors; change the structure of agriculture; to develop livestock; to build factories for the processing of agricultural products and to convert agricultural manufacturing. Changes in the structure should be due to large differences in the agricultural potential of each individual region of the Crimea, therefore it is required to develop those areas of agriculture that correspond to the climatic, economic, cultural and historical conditions of each region. The effective use of subsidies and grant-in aid, competent investment management and the intensive formation of the latest enterprises will enable the region to become quickly one of the most successful in the Russian agricultural sector.
An Efficient Segmentation Method for Juxtapleural Parenchyma with Modified Fractal Geometry-Based Pulmonary Boundary Detection
Authors:   Research Scholar, Department of ECE, KLEF, Vijayawada, Andhra Pradesh, India., Vaishali* S. , Rao Dr.G.V.Subba ,   Professor, Department of ECE, KLEF, Vijayawada, Andhra Pradesh, India., Rao Dr.K.Kishan ,   Professor, Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, (Telangana), India.
Published: December 2019

Lung cancer seems to be the world has ever known the most leading cause of death from cancer. Early diagnosis of lung cancer will help patients significantly. The exactness of tumour form, location, and volume detection wants to play an important role to play in effective tumour treatment. Artefacts can severely deteriorate the performance or even clinically obsolete of computed tomographic (CT) images. An automatic approach to incorporate the adaptive threshold iteration technique with the segmentation of images of the lungs. The implementation involves an enhanced convex hull repair to undertake a precise lung parenchyma segmentation. The results of the analysis say with certainty that the current approach can precisely segment juxtapleural parenchymal images and that the algorithm has been put into practice and evaluated in Matlab on Windows. The investigation results indicate that the modified convex hull calculation uses only a very small number of points. The study has also shown that the algorithm proposed improves the complexity of time compared to several other algorithms.
Hydrological Analysis with Respect to Spatial Changes of Urban Growth in Bengaluru City using Geospatial Technology
Authors:   M.Tech Student, Department of Water Engineering and Management, Central University of Jharkhand, India., Harsh  , Bharti* Birendra ,   Assistant Professor, Department of Water Engineering and Management, Central University of Jharkhand, India.
Published: December 2019

Urban Water Management is the practice of managing freshwater, wastewater, and storm water as components of a basin-wide management plan. It builds on existing water supply and sanitation considerations within an urban settlement by incorporating urban water management within the scope of the entire river basin. The pervasive problems generated by urban development have prompted, in the present work, to study the spatial extent of urbanization in Bengaluru City and patterns of periodic changes in urban development (systematic/random) in order to develop future plans for (i) urbanization promotion areas, and (ii) urbanization control areas. Remote Sensing, using USGS (U.S. Geological Survey) Landsat8 maps, supervised classification of the Urban Sprawl has been done for during 1900 - 2010, specifically after 2000. This Work presents the following: (i) Impact of Land use/cover on ground water level using well location data and (ii) Morphometric analysis of Bengaluru City. The outcome of the study shows drastic growth results in urbanization and depletion of ground water levels in the area that has been discussed briefly. Other relative outcomes like declining trend of rainfall and rise of sand mining in local vicinity has been also discussed. Research on this kind of work will (i) improve water supply and consumption efficiency (ii) Upgrade drinking water quality and wastewater treatment (iii) Increase economic efficiency of services to sustain operations and investments for water, wastewater, and storm water management, and (iv) engage communities to reflect their needs and knowledge for water management.
Handling Solution Tidal Flood in Kaligawe Area by Polder System Drainage
Authors:   Department of Civil Engineering, Sultan Agung Islamic University, Indonesia., Wahyudi* Slamet Imam , Pratiwi Adi Henny ,   Department of Civil Engineering, Sultan Agung Islamic University, Indonesia., Lekkerkerk Jonathan ,   Department of Water Management, Rotterdam University of Applied Sciences, Netherlands.
Published: December 2019

Kaligawe area is one of the main routes of North Java Coastal traffic and also the gateway of Semarang city from the east. Since more than 5 years this area proned by flooding due to a combination of land subsidence, increasing influence by tidal movement from sea the inability of free flow discharge of river water. In periods of flooding long traffic jams occur for more than 10 kilometers in length. The purpose of this research is to map the flood problem in Kaligawe area, identify the causes of flooding, analyze the technical handling solution and formulate the measures to prevent the flooding in this region. The research method is based on detailed field survey, measurement and observations of water levels, secondary data collection that consist of land subsidence’s, rainfall intensities, tidal elevation. The data are analyzed qualitatively and quantitatively. Among the results of this study is to formulate measures to prevent the number and degree of flooding. These measures can be divided in short, medium term and long term stages. The short term measures consist of construct a temporary weir to regulate water discharge and pump installation including pump strategy. The medium term stage consists of making a polder system, the long term stage consists of spatial sustainability and institutional management of Operation and Maintenance of Polder system.
Aplikasi Rekam Medis Digital Pada Klinik Medika Kecamatan Conggeang
Authors: Fadil Irfan , Supriadi Fidi
Published: December 2019

Rekam medis adalah keterangan baik yang tertulis maupun terekam tentang identitas, anamnesa, penentuan fisik, laboratorium, diagnosa segala pelayanan dan tindakan medik yang diberikan kepada pasien dan pengobatan baik yang dirawat inap, rawat jalan maupun yang mendapatkan pelayanan gawat darurat. Pengembangan sistem rekam medis ditujukan untuk mendukung ketersedian data informasi bagi manajemen dan pelaksana layanan serta pengembangan jaringan informasi kesehatan. Sistem ini dibangun dengan teknologi komputer berbasis mobile. Sistem rekam medis ini dibangun dengan menggunakan bahasa pemrograman Java dengan didukung basisdata MySQL. Sistem yang sedang berjalan sekarang ini menemui berbagai kendala dan permasalahan, terutama pada Pendaftaran Pasien, penggunaan basisdata dan sistem yang diterapkan hanya sebagai mesin pencatat. Dalam perkembangannya diharapkan sistem ini dapat diterapkan dalam jaringan intranet dan saling terhubung dengan instasi medis lain.
Self-Evolutionary Neuron Model for Fast-Response Spiking Neural Networks
Authors: Zhang Anguo , Niu Yuzhen , Gao Yueming , Han Ying , Chen Qing , Zhu Wei
Published: December 2019

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Convolutional Dictionary Pair Learning Network for Image Representation Learning.pdf
Authors: Zhang Zhao , Sun Yulin , Wang Yang , Zha Zhengjun , Yan Shuicheng , Wang Meng
Published: December 2019

10 pages, 6 figures
PEDIATRIC APHAKIC GLAUCOMA (REVISED) (1)
Authors: Mubashir Jalis, Anjum Khalid Zia Muhammad, Muhammad Tariq,
Published: December 2019

Purpose:  To know the occurrence and pathogenesis of post operative aphakic glaucoma in children operated for congenital cataract at Mardan Medical Complex, Mardan KP (Pakistan).

Study Design:  Retrospective Cohort study                                               

Place and duration of Study:  Mardan Medical Complex, Mardan (KP) between January 2001 and December 2014.

Material and Methods: A retrospective analysis of all cases was conducted who were operated for congenital cataracts between the ages from 2 months to 30 months in the Department of Ophthalmology Mardan Medical Complex, Mardan (Pakistan) between January, 2001 and December, 2014. Babies having congenital cataracts with increased intraocular pressure (IOP), those showing signs of congenital glaucoma and those having  congenital cataracts with specific syndromes were not included in the study.

 

Results: We reviewed the records of 110 patients who had bilateral lens aspiration for congenital cataracts. We found 7 patients (12 eyes) who developed increased intra-ocular pressure (IOP) after bilateral lens matter aspiration for congenital cataracts. Four patients (three males one female), developed early onset pupil block glaucoma, (2 bilateral and 2 unilateral) while in 3 female patients the onset of glaucoma was delayed for several months to years and was of the open angle type in both the eyes.

 

Conclusions: Poor compliance with follow up, poor pupillary dilatation, prolonged surgical time, severe inflammation and residual lens matter are some of the risk factors for early onset pupillary block aphakic glaucoma in pediatric age group. The exact mechanism of open angle glaucoma detected later on remains unclear and difficult to manage.

Key Words : Pediatric aphakic glaucoma, Congenital cataract, Aphakic open angle glaucoma, Pupil block, Primary posterior capsulotomy,