bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Transfer Learning Using Convolutional Neural Network Method for Early Detection of Terry’s Nail
Authors: Yani Muhamad , Budhi Irawan S, Si., M.T. , Casi Setiningsih S.T., M.T. 
Published: June 2019

AbstractNails are one part of the fingers and toes, by observing the shape and the condition of the nails, health expert can find out information about a person’s health. However, this sometimes not realized and ignored by society, even though many diseases that can be seen through the condition of the nails and the shape of the nails are one of the systemic diseases. This research was conducted to detect abnormalities in the nail based on digital images. The detected abnormalities are terry’s nails in the hand which can represent systemic diseases, while the method used is the Convolutional Neural Network (CNN) method. This research uses Tensorflow Inception-V3 architecture model with the transfer learning method where the results of the experiments that have been done are obtained with 95.24% accuracy.
License Number Plate Recognition using Template Matching and Bounding Box Method
Authors: Kusumadewi Ira , Sari Christy Atika , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari 
Published: June 2019

Abstract
Recognition of vehicle number plates is very important in the field of transportation security systems. Template matching is one of the most popular techniques used for number plate recognition. This algorithm works by evaluating the image pattern that will be recognized and then comparing it with the image pattern in the template. A number plate is an object in an image that has many characters which usually consists of numbers and letters. Character recognition cannot be done simultaneously in an image. A number plate object in the image needs to be done early processing, normalization, and segmentation to recognize the character. While to separate each character, a bounding box algorithm is used. This technique is relatively simple and has fast computing. So this study examines a combination of template matching and bounding box methods to detect Indonesian car license plates. Based on the tests that have been done, the accuracy reaches 80%.
Use of amplified expenditure expenses using the calculation services scheme
Authors: Pitta Sundhar singh , Cheepurupalli Raghuram , Neelima A 
Published: June 2019

AbstractAn information analyst can study the ability of social achievement according to countless user site records by evaluating multiple circular range queries. More specifically, the zeros of the previous search, especially dealing with system comparisons or encrypting command-saving files, can be expanded and exploited to allow exploration of spatial data between axes and rectangular parallels. While most search file encryption schemes focus on common SQL queries, for example, keyword queries and logical queries, two searches have been achieved in particular from the search for geometric range to encrypted spatial data. Our main contribution to the fact that our design is in fact a general approach, can support several types of to the axis. With the rapid development of social systems and location-based services and travel using a laptop, the amount of data that people create every day continues to grow dramatically. It is no longer easy or profitable for companies to keep a large amount of data in their area. More specifically, it lacks a general approach, which can accept various types of engineering queries on a large scale in encrypted spatial data, regardless of their specific geometric shapes. Our design has great potential for use and application in large applications, for example, location-based services and spatial databases, requiring the use of sensitive spatial data based on robust privacy.
Optimizing cloud health Care Data Transmissions using Fog
Authors: Valeti Nagarjuna , Ceronmani Sharmila V 
Published: June 2019

Abstract
Cloud computing has been dominating enterprise data management solutions for a while now but still requires human-computer interface agents to govern and facilitate services and healthcare domain is no exception. Fog Computing the latest buzz word often considered an extension to Cloud computing enables smart pervasive devices to directly interact with the cloud while simultaneously upholding Quality of Service (QoS) metrics such as performance and security. For smooth transition of communication services in health care computing domain, prior approaches suggested a data collection protocol to support autonomic fogging between medical devices and cloud storages. Although efficient and automated this approach is facing a bottleneck scenario leading to data retransmissions when health data spikes exponentially. To address this problem we propose a dynamic buffering algorithm that ensures the optimized queue and power management scheme within the medical user’s device to hold the data in the queue for updating, to prevent queue over flows and thus reducing important health data losses when involved entities are offline. To improve the performance of the proposed system a new sensor technology is adapted to the system. This approach is a first of its kind approach in health care driven fog computing that can offer smooth automated data transitions.
Ensemble feature analysis classifier for sentiment analysis using convolutional neural networks
Authors: Arunasafali M , Suneetha Chittineni 
Published: June 2019

Abstract
Text mining is the worldwide fast growing domain in research. Sentiment analysis is the one of the sub domain in the text mining to extract the sentiment from the various texts available in the internet and from other sources. Various existing systems are implemented to get the sentiment analysis with the migration of natural language processing algorithms (NLP) and artificial intelligence algorithms.Various issues identified in the text mining with sentiment analysis are solved very rarely. According to the previous research, deep-learning and artificial intelligencebased TSA prediction method that comprises of a stacked auto encoder (SAE) model that is used to learn generic linguistic and text semantic features But the system not reached up to the mark. In this paper, Ensemble Feature Analysis Classifier to incorporate the new domain dimension within the rating and text based sentiment analyzer. Implementation of this proposed prototype validates our claim and highlights our efficiency in supporting multiple dimensions during sentiment analysis.
Crypto-Stego Technique for Secure Data Transmission
Authors: Bandela Homer Benny , Ganesh Babu M. , Deepthi Donavalli Venkata Vidya 
Published: June 2019

Abstract
As days are passing, technology is taking its force towards its smartness. But there are some devices which are to be modified for better security results. Cryptography is a technique used for sending secret messages and Steganography is a process related to image. In this paper, we consider Cryptography and Steganography for secure transmission of secret message. The technique used in this paper is to place an image within another image. Encrypted data or Secret data is placed on an image based on pixels and that image is placed as background for other image. When the receiver receives that image he/she thinks it as a normal image but it contains a hidden message and decrypted for original image.
RETRACTED: New classification scheme for autoclave security data sets using data mining patterns
Authors: Srinivas Chalasani , Rudraraju Sri Krishna Chaitanya , Jayamanasa Vemuri 
Published: June 2019

Abstract
We consider gaining from information of variable quality that might be gotten from various heterogeneous sources. Because of rich semantics of the information and absence of from the earlier learning about the investigation undertaking, intemperate disinfection is frequently important to guarantee security, prompting huge loss of the information utility. Security Preserving Data Mining (PPDM) helps to mine data and uncovers designs from extensive dataset shielding private and touchy information from being uncovered. With the approach of shifted advancements in information gathering, stockpiling and preparing, various security protection strategies have been created. We propose a suitable security shielding K-infers gathering plan that can be viably outsourced to cloud servers. The present work grants cloud servers to perform packing particularly completed encoded datasets, while accomplishing similar computational many-sided quality and precision contrasted and grouping over decoded ones. Guide Reduce approach likewise consolidated in this paper, which makes this work extraordinarily fitting for Map Reduce condition. Differentially security approach guarantees the aftereffects of inquiries to a database, which will grow the flexibility and time capability over existing techniques. Interestingly of elective arrangements, dp- GAN features an arrangement of key highlights. It gives hypothetical security ensure by means of upholding the differential protection standard. It holds attractive utility in the discharged model, empowering an assortment of generally unthinkable investigations; and above all, it accomplishes reasonable preparing adaptability and steadiness by utilizing multifold streamlining techniques. We propose a technique for changing the learning rate as a component of the heterogeneity, and demonstrate new lament limits for our strategy in two instances of premium. At long last, we assess the execution of our calculation on genuine information.
Multi-core with ht technology to solve data lake complex problems
Authors: Sreenu K , Reddy B R S 
Published: June 2019

Abstract
Technology is taking its lead towards growth and it should be timely used properly for complex problems. Everything is available with us and it should be planned properly for better technology and its usage. This paper deals with core technology that will save time and cost for high resolution images. Which are used for movies, virtual games and simulations? Multi-cores are not new to the society; they are taken their shape into different transitions. Now we are in dual core technology with more processors and speed. We can utilize the cores properly if we have software technology. Main objective of this paper is to utilize cores proper for specific work with interrelating them. Finally they have to be organized properly with governance of the software. For performance HT Technology is used to select core for specific job. By selecting different cores we can gain performance, same way increase the speed and high resolution of images.
A novel artificial intelligence program testing service (ai-pts) model
Authors: Deepthi Kothapalli Chaitanya 
Published: June 2019

Abstract
Today’s world is most dependent upon computer systems. Artificial Intelligence is also growing rapidly. We can see that vast growing field in computer system is Artificial Intelligence. We can use artificial intelligence applications for program testing service. Old process contains errors and they are corrected by end user himself. Artificial Intelligence applications can be used directly and wait to provide inputs. In between if any errors are modified by the software. This research paper focuses on AI-PTS model. Artificial Intelligence applications itself corrects the errors and take the program to run-time. We use decision trees, searching patterns, database training grammar.
New distributed routing algorithm in wireless network models
Authors: Shariff Vahiduddin , Aluri Yuva Krishna , Venkata Rami Reddy Ch 
Published: June 2019

Abstract
The wireless sensor network present all sensor hubs to produce an equal proportion of information packages in a WSN. The centers around a sink need to exchange a more noteworthy number of groups and will all in all fail miserably sooner than various focus focuses in light of the way that in vitality usage of sensor focus focuses in system lifetime can be drawn out by altering the correspondence stack around a sink. This paper introduces another way to deal with tackle this issue by thinking about the psychological capacity of hubs. Most importantly, we misuse the directional gathering receiving wires to propose a directional gathering two-advance recreation routing plan to set up multicast tree for remote multi-jump networks. we think about that terminals make utilization of cutting edge energy collection transmission/gathering methods, for example, maximal proportion consolidating gathering of redundancy codes, or on the other hand information accumulation with rate less codes. Aggregate methods increment communication dependability; diminish energy utilization, and abatement inactivity. Our first calculation is incorporated, expecting that routing calculations should be possible at a focal processor with full access to channel state information for the whole framework. We likewise plan two disseminated routing calculations that require just nearby channel state information. essentially, given us to characterize two recursive calculations of the way a chance to weight utilizing the moderate way weights to each transfer, either from the source (forward) or from the Destination (in reverse). In particular, in the task exhibits a Weight Based Synchronization (WBS) conventional that utilizes the extent of synchronized hub groups as an impetus for synchronization. We outline these outcomes by concentrate the base energy routing issue in static aggregate multi-bounce networks for various sending techniques at transfers. Proposed framework empowers noteworthy performance through the most limited way routing.
Computer business organization on cloud platform
Authors: Yallamanda C , Ramaiah Chowdary P 
Published: June 2019

Abstract
In 20th century, the era of digital marketing in engineering evolved rapidly, among those social networks, mobile terminology. Analytics and cloud computing makes vital functioning think technology. As per the latest surveys suggests that one among three is using the social networking. As coming to mobile technology, 19th century innovative invention is mobile machine and their equipment that are making major work in the human life. Such that the evaluation of this type of equipment is really make more sense. The change in business marketing the use thinks is cloud computing. It’s making more interaction with the peoples. To making these type of cloud business make more profit to the vendor as well as the more useful to the consumer.
Providing an adaptive setup for media-content sources.
Authors: Srinivasa Rao D. , Kuchipudi Rajkamal. , Sudhakar Ch. 
Published: June 2019

Abstract
Cloud computing provides a versatile framework that media content suppliers may use to procure spilling sources that match the interest. Media content suppliers are charged for the amount of sources distributed (saved) inside the cloud. Most of the current cloud suppliers utilize a costs demonstrate for that saved sources that is reliant on non-straight line time-rebate levies. This sort of costs plan offers extraordinary rebates depending non-directly around the day and age where the sources are saved inside the cloud. Media spilling programs have recently pulled in a great deal of clients on the web. Utilizing the production of these transmission capacity concentrated projects, it’s monetarily inefficient to supply spilling conveyance with ensured QoS depending just on focal sources in a media content supplier. Inside this circumstance, a totally open issue is to choose both the right amount of sources saved inside the cloud, and in addition their reservation time with the goal that the financial expense around the media content supplier is limited. The results in our factual assessments and reproductions uncover that the proposed recipe extensively eliminates the financial cost of resource portions inside the cloud as in correlation with other customary plans. We exhort a simple - easy to apply - equation for resource reservation that maximally abuses marked down rates offered inside the taxes, while verifying that adequate sources are held inside the cloud. In accordance with the guess of enthusiasm for gushing limit, our equation is precisely made to forestall settling on wrong resource allotment decisions.
Re-design of smart homes with digital twins
Authors: Gopinath V , Srija A , Neethu Sravanthi C 
Published: June 2019

Abstract
One of the key transformations in the epoch of the Internet of Things(IoT) and industry innovation is Digital twin. The top trending technologies like Machine learning, artificial intelligence, Cloud Computing platforms, Big data architectures, Software analytics and the Internet of things(IoT) are integrated and used by a digital twin concept in an immense way which changes the IT business productivity and reduces the cost of investment. Digital Twin is a flourishing tool which integrates the both physical and virtual scenarios/worlds. This paper presents the re-designing solution for Smart homes using the digital twin paradigm. The introduction and the concept of this technology are introduced first, and then presented a sophisticated smart home architecture with digital twin. At last we performed experiments on this digital twin architecture and compared with normal IoT implementations. In this Whitepaper, we reviewed the concepts of Digital twin technology, IoT and re-designing idea for building Smart Homes.
DATA MINING USER BEHAVIORS IN MOBILE ENVIRONMENTS
Authors: Banothu Narsimha , Sastry J S V R S 
Published: June 2019

Abstract
Mining client practices in portable situations is a developing and imperative theme in information mining fields. Past inquires about have consolidated moving ways and buy exchanges to discover versatile consecutive examples. Be that as it may, these examples can’t reflect real benefits of things in exchange databases. In this work, we investigate another issue of mining high utility versatile consecutive examples by coordinating portable information mining with utility mining. To the best of our insight, this is the primary work that joins versatility designs with high utility examples to discover high utility portable consecutive examples, which are portable successive examples with their utilities. Two tree-based strategies are proposed for mining high utility versatile successive examples. A progression of investigations on the execution of the two calculations are led through trial assessments. The outcomes demonstrate that the proposed calculations convey preferred execution over the cutting edge one under different conditions.
DESIGN OF PROBABILISTIC GRADIENT DESCENT BIT-FLIPPING USING LDPC CODES
Authors: Sridevi Ms.Ch. , Sravanthi Mandala 
Published: June 2019

Abstract
This paper manages the equipment usage of the as of late presented Probabilistic Gradient-Descent Bit Flipping (PGDBF) decoder. The PGDBF is another kind of hard-choice decoder for Low-Density Parity-Check (LDPC) code, with enhanced blunder adjustment execution because of the presentation of think arbitrary annoyance in the figuring units. In the PGDBF, the irregular bother works amid the bit-flipping venture, with the target to maintain a strategic distance from the fascination of alleged catching arrangements of the LDPC code. In this paper, we propose a capable mechanical assembly organizing which limits the favorable position overhead expected to execute the sporadic aggravations of the PGDBF. Our organizing relies on the usage of a Short Random Sequence (SRS) that is imitated to completely apply the PGDBF loosening up standards, and on an improvement of the most mind boggling pioneer unit.
Rule-based chabot for student enquiries
Authors: Singh Jagdish , Joesph Minnu Helen , Jabbar Khurshid Begum Abdul 
Published: June 2019

Abstract
Conversational agents, or chatbots, refer to computer programs that conduct conversations and deliver a natural language interface to its users. Due to the significant foothold messaging applications have begun receiving, chatbots have spawned a new revival and gaining vast popularity. The focus of this paper is to present the implementation of a rule-based enquiry chatbot that is designed exclusively toward students of Asia Pacific University (APU). The implemented chatbot known as ‘APU Admin Bot’ intends to provide students with a quicker solution to resolving their queries instead of heavily depending on the administrative offices. Relying on the rule-based approach of pattern recognition, certain words, phrases and even actions trigger an entire set of responses from the chatbot. Built entirely from the Chatfuel platform and hosted on Facebook Messenger, the implemented chatbot is reliant on a code-less authoring tool and a messaging platform, instead of traditional programming and architectural structures.
Design and development a first-person puzzle game based on time-travel game mechanics
Authors: Sim Adrian , Khuan Chen Tet , Islam Md Baharul 
Published: June 2019

Abstract
Due to the availability of advanced technology in graphics software and hardware, human-computer interaction is receiving considerable research attention in past few decades, particularly game-based interaction. To our best knowledge, very limited first-person puzzle games released in video game market in recent years. In this paper, we present a firstperson puzzle game using the concept of time-travel game mechanic. Firstly, we have designed a set of 3D models and game level using Autodesk 3D Studio Max. We design four puzzles including brick wall, slide, car track, and exit the house/room. Then, a cross-platform game engine, namely Unity utilized to develop the First-Person Puzzle (FPP) game based on changing the timeline past, present, and future. We perform a set of experiments to validate our game that ensures all features are working in gameplay. The user acceptance test proves the performance of our system is better than the state-of-the-art first-person puzzle games.
A COMBINATORIAL APPROACH TO DECIDE INITIAL ROOT VALUE FOR THE SOLUTION OF NON-LINEAR SYSTEM OF EQUATIONS
Authors: Ramaiyan Gananathan , Sulaiman. S.M , Irene Hepzibah. R 
Published: June 2019

Abstract
This study aims at developing the real root of an algebraic or a transcendental equation based on non-linear model and a combinatorial numerical approach for solving nonlinear equations. The introduction of Bisection, False-Position and Newton–Raphson methods to identify the real positive root of an equation which is provided here. The rate of convergence is fastest in Newton–Raphson method due to the quadratic convergence compared with the other two iterative methods. We have applied here the three iterative methods in solving non-linear equations in MATLAB environment and compared the outcomes of results as well as geometrically also. Finally, an illustrative algebraic example is discussed and the MATLAB outputs are provided to check the validity of the new approach.
Active Noise Reduction using LMS and FxLMS Algorithms
Authors: Ravinchandra Krishna A/L , Ka Fei Thang , Chee Yong Lau 
Published: June 2019

Abstract
In recent times, the use of industrial Heating, Ventilation, and Air Conditioning (HVAC) systems has had a substantial increase due to various social-economic reasons. Various studies are conducted to address the concerns of noise generated by HVAC systems in particular from compressors; noise pollution affects the environment we live in and should therefore be mitigated as much as possible. For this purpose, an active noise reduction system is introduced to help alleviate noise levels at both low and high frequency ranges of the HVAC system. This paper demonstrates an implementation of Active Noise Reduction (ANR) system using Least Mean Square (LMS) and Filtered-x Least Mean Square (FxLMS) algorithms, which have been tested based on simulated noise scenarios. A comparison between both algorithms will be performed based on simulation of different frequency ranges which closely resembles the operating scenario of the industrial HVAC systems. Also, different values of step-size affecting the processing of the ANR system during the convergence rate and stability state will also be investigated and discussed.