bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial intelligence in oncology, its scope and future prospects with specific reference to radiation oncology
Authors: Rattan Rajit , Kataria Tejinder , Banerjee Susovan , Goyal Shikha , Gupta Deepak , Pandita Akshi , Bisht Shyam , Narang Kushal , Mishra Saumya Ranjan 
Published: April 2019

Objective: Artificial intelligence (AI) seems to be bridging the gap between the acquisition of data and its meaningful interpretation. These approaches, have shown outstanding capabilities, outperforming most classification and regression methods to date and the ability to automatically learn the most suitable data representation for the task at hand and present it for better correlation. This article tries to sensitize the practising radiation oncologists to understand where the potential role of AI lies and what further can be achieved with it. Methods and materials: Contemporary literature was searched and the available literature was sorted and an attempt at writing a comprehensive non-systematic review was made. Results: The article addresses various areas in oncology, especially in the field of radiation oncology, where the work based on AI has been done. Whether it’s the screening modalities, or diagnosis or the prognostic assays, AI has come with more accurately defining results and survival of patients. Various steps and protocols in radiation oncology are now using AI-based methods, like in the steps of planning, segmentation and delivery of radiation. Benefit of AI across all the platforms of health sector may lead to a more refined and personalized medicine in near future. Conclusion: AI with the use of machine learning and artificial neural networks has come up with faster and more accurate solutions for the problems faced by oncologist. The uses of AI,are likely to get increased exponentially . However, concerns regarding demographic discrepancies in relation to patients, disease and their natural history and reports of manipulation of AI, the ultimate responsibility will rest on the treating physicians.
Open Access University Press | A Research Project at the Leipzig University of Applied Sciences, Germany
Authors: Schrader Antonia , Grossmann Alexander , Reiche Michael , Böhm David 
Published: April 2019

The poster is an overview of the research project Open-Access-Hochschulverlag (in english Open Access University Press), that is funded by the Federal Ministry of Education and Research (BMBF, Germany) for 23 months (Start in May 2018).
Open Access (OA) book publishing is still in relatively early stages, leading to academic books being much less frequently published OA than research journal articles. This has various effects on the publication landscape, which are described here.
Despite established publishers meanwhile also offer the publication of OA monographs, only certain researchers can actually publish, because of high Book Processing Charges (BPCs) up to 10,000 USD and more. In contrast, university presses have started to publish monographs as OA without any or at significantly lower charges; however, university presses often do not have the technical know-how of the state-of-the-art publishing of OA books possessed by academic publishers.
This is why, our research project aims to develop an sustainable and easy-to-adopt publication workflow for OA monographs, which is media-neutral as well as both cost-effective and personnel-efficient. Universities shall be enabled to publish their book publications as OA by adopting this workflow.
In addition, first results and an outlook ahead to the further steps of the research project are depicted on the poster.
An effective solution for DDOS attack
Authors: Raj Panakadan Rusheel , Dhanush Chitluri , Carmel Mary Belinda Dr 
Published: April 2019

Distributed Denial of Service (DDoS) attacks constitute one of the major threats and among the hardest security problems in today’s internet. Defense against these attacks is complicated by spoofed source IP addresses, which gives us a tough task to find out the packets origin. So this paper represents a solution for a DDoS attack. We’ll be using wireshark tool to analyze the network traffic of any interface and find malicious activity by hackers. An algorithm is written at the server side so that if any malicious user sends asynchronous requests at a rate of (>=30 requests per second) then a Visual Basic script is sent to the malicious user. The Visual basic script consists of code encapsulated, allowing system administrators to generate and manage computers with error handling, sub routines etc. This .vbs scripts are made to auto run on the computer, thus making a particular service unavailable to the malicious user. Hereby, stopping the server from partial shutdown or preventing it from DDoS attack.
Experimental Study on High Strength Concrete by Partial Replacement of Fine Aggregate by Ceramic Tile waste
Authors: Dhanasekar S , Vinothraj S , Ravichandran P T , Aravindan A 
Published: April 2019

Growth in construction industry is linked to the growth of infrastructure sector and the building industry. Construction industry has been growing @ 8-10% per annum and is likely to maintain the same in year to come. Concrete is widely used as a construction material due to inherent advantages. Booming economic growth led to indiscriminate and unregulated mining of river sand for construction which resulted in erosion of river bank and damage to bio-diversity. The demand for river sand is only expected to grow as the demand for housing and infrastructure is ever increasing. Hence, there is a pertinent need to look for alternate materials to river sand.This study explores use of ceramic tile waste as an optionto the replacement of river Sand in terms of suitability, acceptability, and viability. In this study the ceramic tile waste is being used to replace the conventional sand i.e. fine aggregate (FA). The ceramic fine aggregate (CFA) are used in concrete by replacing FA by 10%, 20%, 24%, 28%, 30% and 40%. In order to compare the results of conventional concrete (CC) with CFA concrete a concrete design mix of M50 is produced with various proportions of CFA material. Due to the good bonding nature of ceramic materials with cement it increases the strength of the concrete with respect to the increase of CFA material. The durability properties of concrete also seems to be performed well because, the CFA materials are consist of good chemical resistance nature. From the study it is found that the percentage of replacement for FA with CFA material is 20%, within which the performance of CFA concrete is better and all the results are attained within the design limit and it help to solve the disposal problem to the environment.
Variety of Current Power Welding Using Electrode 6013 on Tensile Force of Lower Carbon Metal
Authors: Bakhori Ahmad , R. Harahap Muksin , Napid Suhardi , Rafiq Yanhar Muhammad , Hasibuan Abdurrozzaq 
Published: April 2019

The objective of this study is to determine the outstanding tensile value on welding of little carbonate steel electrode 6013/ Ө 2.5 x 350 mm in tensile test. Specimen in tested is a lower carbon steel found in market or sometimes available on welding workshops of plate form. This plate is made refer to Standard Tensile Test specimen ASTM E-8M in thick 5 mm and made plot V 450 in twelve pieces. In welding specimen, inflow current varieties with 60, 80, 100, 120 Ampere and constant power of 20 volt and welding position tilted ranges 600 – 700. In the test found data the lowest tensile strength is 160.62 Mpa of welding current power 60 Ampere and the greatest tensile force 438.80 Mpa with welding power 120 Ampere whereas welding most adaptable is on 80 Ampere 325.96 Mpa. The power force of welding determined to tensile force due electrode fluid completed and influenced to that lower carbon steel mechanical property.
Image Segmentation Using K- Means Clustering Method for Brain Tumour Detection
Authors: Thylashri S , Mahesh Yadav Udutha , Danush Chowdary T 
Published: April 2019

Brain tumour is an irregular development by cells imitating among them in an unstoppable way. Specific identification of size and area of Brain tumour assumes a fundamental part in the analysis of tumour. Image processing is a dynamic research territory in which processing of image in medical field is an exceedingly difficult field. Segmentation of image assumes a critical part in handling of image as it helps in the finding of suspicious districts from the restorative image. In this paper a proficient algorithm is proposed for detection of tumour based on segmentation of brain by means of clustering technique. The main idea in this clustering algorithm is to transfer a given gray-level image and then separate tumour objects position from other items of an MR image by using K-means clustering. Experiments say that segmentation for MR brain images can be done to help medical professionals to identify exactly size and region of the tumour located area in brain.
A Two Way Validation Framework for Cloud Storage Security
Authors: Jyothi Anantula , Indira Baddam 
Published: April 2019

High Performance Computing (HPC) has become one of the predominant techniques for processing the large scale applications. Cloud environment has been chosen to provide the required services and to process these high demand applications. Management of such applications challenges us on three major things i.e. network feasibility, computational feasibility and data security. Several research endeavours are focused on network load and computing cloud date and provided better outcomes. Still those approaches are not able to provide standard mechanisms in view of data security. On the other side, research towards enabling the auditing features on the cloud based data by various researchers has been addressed but their performance is poor. However, the complexity of the audit process proven to be the bottleneck in improving performance of the application as it consumes the computational resources of the same application. Henceforth, this work proposes a novel framework for cloud data auditing at multiple levels to audit the access requests and upon validating the conditions of one level, the connection request will be moved to the further complex levels in order to reduce the computational loads. The proposed framework determines a substantial reduction in the computational load on the cloud server, thus improves the application performance leveraging the infrastructure use.
Overview and Tools of Asset Management in Renewable Energy Based Smart Grid
Authors: Salkuti Surender Reddy 
Published: April 2019

This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. The proper asset management reduces the risk of equipment failure, extends the equipment life and minimizes the occurrence of unplanned outages. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. Frequent condition assessment with asset audit enables a comprehensive assessment of the asset in question and includes objective and transparent asset condition information recommendations for the improved environmental sustainability. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. It presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification process, investment and recovery to sustain reliable and efficient power delivery.
Building Empathy in Young Children Using Augmented Reality
Authors: Zamin N , A. Khairuddin F , R. A. Rambli D , N. M. Ibrahim E , S. A. Soobni M 
Published: April 2019

Empathy is the feeling that a person can step out virtually from his/her own world and enter the internal world of another person. In simple notation, empathy means the ability to ‘feel with’ other people, to sense what they are experiencing. Empathy is different than sympathy. It is a hard-wired capacity many of the people today is lacking. A psychological study has found that many people are suffering from Empathy Deficit Disorder (EDD). EDD gets severe by the increasingly polarized social and political culture especially in the under developed countries. Lack of empathy and social wellness can be very damaging to the families, organizations and countries. This research investigates how compassion can be trained as a coping strategy to build social wellness using augmented reality on our young generations. Smart and empathic citizens are the key to the success of Industrial Revolution (IR) 4.0.
Hidden Markov Model Based Fault Tolerance in Credit Card Transaction Security
Authors: Arunachalam N , Prabavathy P , Priyatharshini S 
Published: April 2019

Credit card fake detection has raised unique challenges due to the streaming, imbalanced, and non-stationary nature of the data that has been transacted. It had additionally included an active learning step, since the labeling (fake or genuine) use of a subset on transactions is obtained in near-real time through human investigators contacted the cardholders. In this paper, the Hidden Markov Model (HMM) algorithm has been used for sequence of Credit card operations for transaction processing and the fake can be detected by using the fake detection model during transaction processing. HMM, Fake detection model and image process had played an imperative role in the detection of credit card fake in online transactions. In fake detection, most challenging is a data problem, due to two major reasons – first, the profiles of cardholders are normal and fake lent behaviors changed constantly and secondly, credit card fake data sets are highly changed its position. Using fake detection (FD) algorithm the performance of detection in credit card transactions had highly affected by the sampling approach on dataset, selection of HMM, Fake detection model. Using fake detection (FD) algorithm an image technique had been used. A reliable augmentation of the target scarce population of fakes are important considering issues such as labeling cost; algorithm HMM, fake detection and outlines in the data streamed source. We have approached several scenarios which showed the feasibility of improving detection capabilities evaluated by means of receiver operating characteristic (ROC) curves and several key performance indicators (KPI) commonly used in financial business.
Smart Green House Based on IOT
Authors: Nagabhushana Rao M , Chakri Ajit K , Phanindra Kumar G 
Published: April 2019

In conventional strategy for cultivating, human works was necessary to see the greenhouse at particular point want to observe all the required levels physically. The regular technique is observed to be slow and require a large amount of effort and energy. Along these lines this analysis around building up a framework that can consequently screen and anticipate various changes in light, temperature Soil moisture and humidity levels of the greenhouse. The goal of the survey is that to build up a programmed monitoring device observing framework utilizing sensors and send email warnings and messages to the mobiles. The recommended framework has an estimation which equipped for identifying the levels of light, temperature,soil moisture and humidity. The framework additionally had an instrument to caution agriculturists with respect to the limitation change in the conservatory then safeguard measures can be taken in advance. In this examination, a few experiments was directed to a particular final aim to demonstrate the suitability of framework. Test outcomes showed that the dependability of the framework in spreading data straightforwardly to the agriculturists could be picked up astoundingly in different conditions
MSEC Scheme for Providing Secure Data Transformation Using Coding Technique
Authors: Kumar.J Ram , Avutu Veena , V Anurag 
Published: April 2019

The MSEC which is the short from of Multiple Signature Elliptic curve Algorithm by using coding tchnique. It can be Digital Signature Algorithm (DSA) elliptic curve analogue. In 1999, the acknowledgement done such as standard of the ANSI. After that in 2000, it again acknowledged like benchmarks of the IEEE as well as NIST. Like this it again acknowledged in the year 1998 in the name of standard of ISO, as well as it was under thought to incorporate in some of other principles of ISO. unlike logarithm of standard discrete problem as well as number of issues of factorization, none of the calculation of the sub exponential-time can called to issue of the elliptic bend discrete logarithm. Similarly per-keybit quality can be generously much prominent if consider the calculation which uses bends of elliptic. This implemented system if or executing the ANSI X9.62 ECDSA on the bend of elliptic P-192, as well as talking regarding the relevant V of the security. Classes A as well as Subject D.4.6v Descriptors which is Operating Systems: Security as well as Protection – getting for controlling, control of the confirmation cryptographic; E.3 [Data]:cryptosystem of the Data Encryption which is the Public key and standards. Algorithms, of the General Terms Security.
IOT Based Intelligent Street Lighting System for Smart City
Authors: Bhagavan K , Sai saketh S , Mounika G , Vishal M , Hemanth M 
Published: April 2019

This venture goes for planning and executing the propelled advancement in inserted frameworks for vitality sparing of road lights. As of now we used manual framework i.e In night the road lights will be ON in the night prior and turned OFF in following day morning. Be that as it may, the real planning for these traffic lights would be exchanged to ON condition when there will be is total obscurity. Here, dissipation of power occurred up to a specified degree. Result of this, we have wastage of power. Additionally, physical operation is completely absent in proposed lighting framework. This New framework give an answer for vitality sparing. This is accomplished by detecting and moving toward a vehicle utilizing an transmitter of InfraRed; and a Receiver which is made with with infrared. Simultäneous detection of sensor developmental transmit the information for a micròcontroller which conjointly switching ON light Essentially when the vehicle or a deterrent leaves the Light extort turning OFF when a sense is made by a sensor for each question in a mèantime the status; (Turn ON / Turn OFF) of street light of the road got to from anyplace and buttoned up web. Venture actualized over; a savvy inserted framework which supervisions roadway lights in light identification of trucks/Busses/cars etc or some other obstructions.; On any occasion that snag will distinguished in the city inside required predefined timeperiod naturally ON/OFF of light occured as indicated by hindrance discovery & a similar data can be gotten to through web. By using the Internet, from any place we can get road light continuous data i.e (ON/OFF) whenever, required.
Density Based Traffic Light Controlling System using IOT
Authors: Bhagavan K , Yaswitha Reddy B , Krishna Sujay T , Sravan Kumar T 
Published: April 2019

The present existing frameworks do dominant the traffic becomes major issue owe to fast increase in vehicles and conjointly owing to giant time lag between the traffic lights. So, so as to improve the downside, I am going to opt for the effective traffic lights system using Density technique. This paper illustrate you how to manage traffic density. During this scheme, the sensing are adopted to live traffic substantially. we rearrange one LDR sensing element for each one road; these Light Dependent resistors sensors forever the traffic thereon specific roadway. of these LDR sensors are interfaced with micro controller. Supported controller & Sensors recognize traffic after that traffic system has been controlled.
Effect of Age on Employees’ Loyalty: a Study Among the Executives’ of a Large Scale Public Sector Manufacturing Industry Across India
Authors: . Geevarghese , J.T Nirmalraj R , Seeram Hemalatha , Veena S , James Beena 
Published: April 2019

The nature of human resources and their willingness to contribute have an impact on the existence and growth of the organization. Employee loyalty may be defined as employees being committed to the success and growth of the organization and believing that working for this organization is their obligation and best option available to them. The growth and success of organizations in the present scenario, largely depends upon the commitment and loyalty of its workforce. As employees work for the organizations for certain period of time, they develop affinity and emotional attachment to the organization. As they grow older their maturity level will increase and stop job hopping. Further, as the age of the employee increases, they will try to settle down in one place and the probability of their intention to stay with the organization also will increase which in turn will influence their loyalty to the organization. Therefore, age of an employee is generally considered as a factor influencing loyalty to the organization.The purpose of this paper is to investigate the effect of age of employee on employees’ loyalty in a Bangalore based large scale public sector undertaking. 200 middle level executives who have completed minimum of one year service were surveyed and random sampling technique was adopted. Survey was conducted with a standardized, valid and reliable instrument measuring loyalty. The detailed findings and implications are discussed in the full paper.
Study of Application of Software Defined Network to Real Networks
Authors: Manoranjitham T , Sai Vijaya Kumar K , Varshith B 
Published: April 2019

This paper presents the application of Software Defined Network to Real Networks. Software Defined Networking is an intriguing concept in the networking and communication industry which provides various uses, from productive network operations to reduced costs in the networking field. The SDN architecture provides the network administrators to implement new network services and easy management of the network .This operation is done by separating the data plane and control plane that makes decision .The data plane forwards packet and control plane manages traffic. In this paper we are studying the application of SDN to Real Networks such as SDN for Internet of Things, Artificial Intelligence, 5G Networks, Wireless Networks.
Simultaneous Allocation Renewable DGs and Capacitor for Typical Indian Rural Distribution Network using Cuckoo Search Algorithm
Authors: P Balamurugan , Yuvaraj T , P Muthukannan 
Published: April 2019

Nowadays, simultaneous allocation of renewable distributed generations (REDGs) along with shunt capacitors (SCs) in RDS distribution networks is getting more attention by the researchers. Since it mitigates the system losses, enhance the bus voltages, power factor improvement, power quality enhancement and reduces the environmental threats. In the proposed work an advanced approach is implemented for simultaneous allocation REDGs and SC for Indian 28- rural bus network. For decrease the losses and maximize the system stability is the main objective of thispaper. The locations and sizing of theses REDGs and SCs have been determined with help of cuckoo search algorithm (CSA).