bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Automatic Image Captioning Using Convolution Neural Networks and LSTM
Authors: Subash R. , Jebakumar R. , Kamdar Yash , Bhatt Nishit 
Published: November 2019

Abstract
PC vision has turned out to be universal in our general public, with applications in a few fields. Given a lot of pictures, with its inscription, make a prescient model which produces regular, inventive, and intriguing subtitles for the concealed picture. A speedy look at a picture is adequate for a human to call attention to and portray a monstrous measure of insights regarding the visual scene. To rearrange the current issue of producing inscriptions for pictures by making a model which would give exact subtitles to these pictures which can be additionally utilized in other helpful applications and use cases. Be that as it may, this momentous capacity has ended up being a tricky errand for our visual acknowledgment models. Most of the past research in scene acknowledgment has concentrated on naming pictures with a predetermined arrangement of visual classifications and extraordinary advancement has been accom-plished in these undertakings. For a question picture, the past strategies recover pertinent hopeful normal language states by outwardly contrasting the inquiry picture with database pictures. In any case, while shut vocabularies of visual ideas comprise a helpful demonstrating suspicion, they are boundlessly prohibitive when contrasted with the colossal measure of rich depictions that a human can form. These methodologies forced a breaking point on the assortment of inscriptions produced. The model ought to be exempt of suppositions regarding explicit pre decided formats, standards or classes and rather depend on figuring out how to create sentences from the preparation information. The model proposed utilizes Convolution Neural Networks which help to separate highlights of the picture whose subtitle is to be created and afterward by utilizing a probabilistic methodology and Natural Language Processing Techniques reasonable sentences are framed and inscriptions are produced.
Neutrosophic Transportation Problems Using Zero Suffix Method
Authors: Sathya geetha S. , Selvakumari K. 
Published: November 2019

Abstract
The aim of this paper is to propose a method for finding an optimal solution for Neutrosophic Fuzzy Transportation Problem (TP). Here, a new ranking approach to solve fuzzy Neutrosophic transportation problems under the approach of zero suffix method together with the scalar division of fuzzy numbers is introduced. The solution of the given problem which satisfies the conditions of optimality and feasibility by proposing the method together with scalar division and triangular ranking technique.
AnatomyMR: A Multi-User Mixed Reality Platform for Medical Education
Authors: Murugan Amarnath , Balaji Ganesh.A , Rajkumar R. 
Published: November 2019

AbstractMixed Reality (MR) has opened up new means of imparting education, especially in the medical field. Students could view the whole human anatomy and it’s components at multiple levels of scale to learn their location and naming nomenclature, and also interact with them separately to familiarize themselves with their functions. In this paper we propose a platform for Medical education in MR which creates shared experiences, providing support for teaching within classrooms. The application would also work as a standalone experience, augmenting important information over the anatomy model for the student’s reference when a shared experience is not in session, thereby facilitating self-study. The platform would be built in such a way that the instructors would also have the option to add 3D models and relevant content to the existing courseware and have it rendered in the mixed reality space.
Enhancement Of Navigation Technology Using Augmented Reality
Authors: Kumar Bakka Naveen , Saranya P. , Bindra Keshav 
Published: November 2019

Abstract
Navigation technology has observed a tremendous advancement in the last 10 years with people shifting from using traditional maps to satellite based navigation smartphone apps such as Google maps and Apple maps. These applications mainly focus on outdoor navigation and represent the route in a 2-D layout, which sometimes lacks clarity when it comes to distinguishing between overlapping paths. One more area where this project is focused is indoor navigation. Indoor navigation can be helpful for navigating inside big buildings like hospitals, malls and airports. For example, when a user enters a mall and he or she needs to find a particular showroom, he just needs to put the name of that showroom and he would get 3-D augmented objects on his device which will point to that showroom as he follows the designated path. Augmented reality is used combined with satellite based GPS technology to navigate outdoors as well as indoors. The application uses 3-D markers to point the direction to the user in a real time environment on their devices which will be easy to understand and navigate. At the same time it will augment location based point of interest along the path, which will provide more clarity to the user about his or her environment. From this project we hope to develop a navigation application for users which is easy to use and understand.
Smart Iot-Based Latecomer / Defaulter Prediction System For Educational Institutions
Authors: Amutha S. , Ananthi G. , Raja Sekar J. 
Published: November 2019

Abstract
In current scenario, educational institutions insist the learners to be punctual. Usually students who are late to their classes are being monitored manually. It is not feasible to monitor regularly since there is a need for manpower at a particular time to register the students those who are late. In such cases there is a need for an automated system to monitor the late comers. This is implemented by acquiring input information from sensors. Passive Infrared Sensor is used to detect the motion of the object whereas RFID is used to retrieve the student details which can be mapped from their unique Id. Along with this, a camera module is used to capture the images of the unidentified entries those does not wear ID cards. The activation of the monitoring system can be customized with the help of the application deployed at a local server. The system can be made active in particular duration with the various time specified. As part of the automation process, an alert mail will reach the respective authority with the list of latecomers and the images those who are unidentified by RFID. By these methods the identification of the late comers will be automated and makes an easier way to track the late comers.
Preprocessing Techniques and Area Estimation of ECG from a Wireless ECG Patch
Authors: Kumar G Sai Phani , Sajith Variyar VV , Soman KP 
Published: November 2019

Abstract
In electrocardiograms (ECGs), most of the clinically helpful information is found within the wave intervals, amplitudes, or morphology. This is principally motivated by increasing aid prices and propelled by recent technological advances in miniature bio sensing devices, electronics, and wireless communications. This paper tries to comprehensively review and experiment economical and strong strategies for machine driven ECG pre-processing and delineation for ECG information from a wearable device named WiPoint Patch HP111x developed by HMicro, Inc. ECG signal quality is the key factor in determining the diseases of the heart. The proposed methods delineate the P and T waves and helps to get the area of the wave. This information can be further used to identify the specific cardiac problems.
Analysis of Air Pollution in Three Cities of Kerala by Using Air Quality Index
Authors: Jyothi S.N , Kartha Kishan , Divesh  , Mohan Adarsh , Pai U Jithin , Prasad Geena 
Published: November 2019

Abstract
Air pollution has an appalling effect on human health and our planet has a whole. This study quantifies air pollution using a parameter – Air Quality Index and compare the pollution of air in six major sites across Kerala, India (South over bridge and Eloor in Ernakulam district, Pettah and Veli in Thiruvananthapuram district, Chavara and Kadappakada in Kollam district). The significant differences in seasonal variation of pollutants in the three districts are also studied. The conclusion of the study shows: a) Air Quality Index in all these areas is predominantly determined by Particulate Matter concentration; b) Ernakulam district has the highest Air Quality Index among both industrial and residential areas and Kadappakada, Kollam has the lowest Air Quality Index among all the six areas studied; c) The air quality deteriorates during winter and summer because of limited pollutant dispersion.
A Comprehensive Survey of Spam Profile Detection Methods in Online Social Networks
Authors: Krithiga R. , Ilavarasan E. 
Published: November 2019

AbstractSocial networks have grown into a popular way for internet surfers to interact with friends in addition to family members, reading news, and also discuss events. Users spend more time on popular social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information. This fact together with the prospect of communicating thousands of users fascinates the concentration of malicious users. They exploit the implicit trust interactions concerning users with the purpose of accomplishing their malicious objectives, for instance, create malicious links inside the posts/tweets, spread fake news, send out unsolicited messages to genuine users and so on. In this paper, we reviewed various existing techniques on spam profile detection in online social networks.
Optical and Structural properties of Ni-doped Co3O4Nanostructure Thin films Via CSPM
Authors: Chiad Sami Salman , Noor Hussein Ali , Abdulmunem Oday Mazin , Habubi Nadir Fadhil 
Published: November 2019

Abstract
In this research, Co3O4:Ni thin films have been prepared by a chemical spray pyrolysis method (CSPM). The synthesized samples, structure and morphology of creating Co3O4:Ni thin films were characterized by X-ray diffractions (XRD), and Atomic Force Microscopy (AFM).
The impacted of Ni concentration were changed from 0 to 4 % by XRD results cause increasing the crystallite size, while the Microstrain and the dislocation density are decreasing. Furthermore, the AFM imaging shows of Co3O4:Nithin films involving a classic amorphous polymer-metal complex synthetic route where Co3O4 films are uniformly embedded with 3D nanoparticles Ni skeleton. The optical properties approve that the energy gap increased from 2 eV to 2.5 eV at 4% Ni doping.
Comparative Investigation for Solar Thermal Energy Technologies System
Authors: Al_Qasab Mohammed R. , Abed Qahtan A. , Abd Al-wahid Wisam A. , Al-Naffakh Jameel T. 
Published: November 2019

Abstract
The multiple uses of fossil fuels make them depleted in the coming years. Also, the large amount of pollution produced by the use of this fuel has made the world seriously think of environmentally familiar alternative sources of energy. Universal energy is vast and diverse energy, with the ability to cover the individual’s energy needs in various fields in the coming years. The focus of this study was a parabolic dish system. There are different uses solar of parabolic dish applications that can be limited by two main groups: thermal generation and electric power generation. A thermal generation used to generate steam, solar cooking, water heating, and water distillation. The briefly objective is to review and analysis the thermal generation published by taken into considering used parabolic collector system. Also, evaluate solar dish operators in differences covering like, the composition of concentrators, the material of reflector, receiver design, parabolic dish diameter, rim angle, and focal length. These characteristics drive to entire structure possible for a parabolic dish. Finally, this article may be useful for the new research worker to consider the requirement for Thermal solar generation integrated with a parabolic dish.
Synthesis and characterization of cobalt-doped cadmium oxide thin films prepared by sol–gel spin coating method
Authors: Kannan Nithin K V , Krishnappa M. RM. 
Published: November 2019

Abstract
In this work, cobalt-doped Cadmium oxide thin films are prepared by sol-gel spin coating technique on the glass substrate. The effects of annealing temperature and Co concentration on Structural, optical properties of the thin films are studied. XRD pattern indicates that a CdO single phase with a cubic polycrystalline structure is formed in all the samples. Prepared thin film samples were revealed by EDX analysis. Optical measurements show that the optical transmission of the layer is reduced and the optical-band gap decreases due to the increase in molar concentrations. The optical-band gap is decreasing while increasing of Co concentration and annealing temperature.
Deep Analytics based Patterns Evaluation from Nano-Particle Datasets
Authors: Ubaid Ahmed Qasim , majeed Nadia Mohammed , Ali Savore Ahmed Mohammed 
Published: November 2019

Abstract
The nano-particles are not limited to the domain of physics rather it is now days used for the applications in information technology and bio-informatics whereby the assorted streams can be integrated. In this research paper, the analysis of the nano-particles related to the brain waves are taken so that the predictions on the datasets can be done for effective discovery and identification of the brain related diseases. This manuscript is having focus on the usage of machine learning based approach for the predictive analysis of the brain related diseases and found that the need to integrate the information technology to biological domains are quite mandatory for the medical sciences.
Analysis and Design of Mechanically Stabilized Reinforced Earth Wall
Authors: Varma B ASHOK , Sekhar G CHANDRA , Avinash P SAI 
Published: November 2019

Abstract
Soil confinement systems are very important elements for every highway design. Different types of soil reinforced wall have evolved over the last past 20 years. For many years retaining structures were made of reinforced concrete. The cost of conventional retaining walls increases rapidly with increase in height of wall. Reinforced earth walls are cost effective soil retaining structures and can tolerate large settlements than conventional concrete retaining wall. Due to this reason Reinforced earth technology has completely replaced conventional concrete retaining structures. Geo-grid reinforced earth wall retaining structures have gained wide acceptance. Present research deals with analysis, design and construction of back to back RE wall. At present observations were done during construction of RE wall carried by TECHFAB INDIA LTD for ensuring knowledge of designing the RE wall. Analysis and design of RE wall was done based on following FHWA – 043 code and BS: 8006. Similarly steel strips reinforced earth wall and concrete retaining wall are designed. Cost comparison is made which shows that Geo-grid reinforced earth walls are more economical than concrete retaining walls. Cost calculation of Geo-grid reinforced earth wall is done by varying angle of internal friction of reinforced soil.
Theorizing Communicative Styles on Social Media: An Etymological Shift
Authors: Ramachandiran Chandra Reka , Mahmud Malissa Maria 
Published: November 2019

Abstract
Distinct polarities of gender stereotypes ascertain that communicative styles demonstrated by men and women are fundamentally disparate. Numerous researches have established varying communicative styles and methods involved in interpersonal communication, predominantly in the analysis of conversational styles as well as etymological strategies. Nevertheless, the widespread of social media has contributed to a pivotal, fascinating shift in the utilization of lexes, encompassing less conventional gender-based articulacy and distinctness amongst youths within virtual setting. Drawing on the data from both disseminated survey and purposive observations on sampled Twitter accounts, this study probed on the correlation between gender stereotypes, communicative styles and linguistic features, manifesting the aggressive, assertive, passive-aggressive and passive traits which are associated with gender-based, stereotypical communicative styles. The findings yielded dominating percentages of males against females in which males possess and exhibit all four traits of communicative styles whereas the observations revealed that both genders demonstrate passive-aggressive and assertive traits.
A survey on machine learning algorithms for the blood donation supply chain
Authors: Mahadevan Subramanian , Poornima S , Tripathi Kartikeya , Pushpalatha M 
Published: November 2019

Abstract
With the proliferation of big data, the need for intelligent and automated systems has risen. This need is probably felt the most in the field of health care, especially in the area of blood transfusion, since they require supplies at the earliest. Currently, transfusion services are heavily manual in nature, which is not ideal. The rising demand for blood and the decline in donation rates has put a lot of strain on the blood donation supply chain. Hence, creating intelligent systems that can make decisions and improve communication across the supply chain is of great importance. In this paper, we are going to give a general summary of the various machine learning techniques which have been applied to this domain and compare their advantages and disadvantages.
BOT Kitchen for Pantry
Authors: Devi M.Uma , Phogat Shaifali , Kapur Pranav 
Published: November 2019

Abstract
This system is software which is helpful for the businesses operate hardware stores, where storeowner keeps the records of sales and purchase. Mismanaged inventory means disappointed customers, too much cash tied up in warehouses and slower sales. This project eliminates the paper work, human faults, manual delay and speed up process. Inventory Management System will have the ability to track sales and available inventory, tells a storeowner when it’s time to reorder and how much to purchase. In this project, the inventory is managed for the stock on grocery on hotels. The grocery is the important factor for the food preparation industries. The remaining stock in store room is identified using the load cell and the RFID tags. If the weight of the particular item gets reduced below the threshold, then automatic SMS will be sent to the super market. All these details of the load cell are updated in the IOT cloud with date and time. The owner can easily monitor the store room status from anywhere and at any time.
URL Scrutiny to Circumvent Phishing
Authors: Mahalakshmi P. , Motwani Bharat , Bajpai Akhil 
Published: November 2019

Abstract
Increasing the number of cyber-crimes and frauds it has become the need of hour to seriously consider the threat and make some solid security arrangement against it. The links or Uniform Resource locator (URL) can be classified as benign, spam or malicious thus informing the user beforehand about its safety. As emails are hook to attach malicious URL, luring to catch the users. Malicious URL are the most common tool used in breaking identity and attacking either the system database or some financial frauds. Instead of focusing the source of such links if the rigorous testing on various attributes is performed on the URL itself using Random forest algorithm for threat detection and Support Vector Machine (SVM) to consider even the extreme cases is expected to improve the coverage and thus can provide the system user with high level security from counterfeited URL.
An Approach to Secure Software Defined Network against Botnet Attack
Authors: Ravindran Sreevidhya , Moorthy Vaishnavi , Venkataraman Revathi 
Published: November 2019

Abstract
The traditional hierarchical networking models, although still in use by many networks of today, are inflexible and unable to manage the huge networking infrastructure. This has led to shifting to a more flexible, dynamic and virtualized network infrastructure called Software Defined Network. SDN being a dynamic network manages the traffic flow efficiently due to its OpenFlow controllers. Although SDN is the most conventional model used today, some of its drawbacks have caused disruption on a large scale. Security is one such drawback, which is of major concern in recent times. There have been multiple researches and attempts to address this issue with an aim to permanently eliminate the threat, but with the rapid technological development, an equivalent powerful trust computing protocol is required to be implemented in order to overcome it. This paper focuses on a Botnet Distributed Denial Of Service (DDOS) attack that takes place in the control plane of the Software Defined Network. This malicious attack has proved to be the most dangerous threat of the web. From flooding a website to bringing down the entire server, this ‘zombie’ network has created haphazard among reputed businesses. An attempt is made to implement a powerful secured technology that can tackle the botnet attack, protect the networks and minimize their vulnerability to such threats that can eventually bring down the ratio of cybercrime in today’s world.
Online Book Recommendation System using Collaborative Filtering (With Jaccard Similarity)
Authors: Rana Avi , Deeba K. 
Published: November 2019

Abstract
Recommendation System (RS) is software that suggests similar items to a purchaser based on his/her earlier purchases or preferences. RS examines huge data of objects and compiles a list of those objects which would fulfil the requirements of the buyer. Nowadays most ecommerce companies are using Recommendation systems to lure buyers to purchase more by offering items that the buyer is likely to prefer. Book Recommendation System is being used by Amazon, Barnes and Noble, Flipkart, Goodreads, etc. to recommend books the customer would be tempted to buy as they are matched with his/her choices. The challenges they face are to filter, set a priority and give recommendations which are accurate.
RS systems use Collaborative Filtering (CF) to generate lists of items similar to the buyer’s preferences. Collaborative filtering is based on the assumption that if a user has rated two books then to a user who has read one of these books, the other book can be recommended (Collaboration). CF has difficulties in giving accurate recommendations due to problems of scalability, sparsity and cold start. Therefore this paper proposes a recommendation that uses Collaborative filtering with Jaccard Similarity (JS) to give more accurate recommendations. JS is based on an index calculated for a pair of books. It is a ratio of common users (users who have rated both books) divided by the sum of users who have rated the two books individually. Larger the number of common users higher will be the JS Index and hence better recommendations. Books with high JS index (more recommended) will appear on top of the recommended books list.
An Investigation of the DC Charging System and Electric Vehicle in Relation To Autonomous Distributed V2G Implementation
Authors: Almyaly Amer Himza 
Published: November 2019

Abstract
Vehicle-to-Grid (V2G) forms one of the promising platforms capable of supplying the power system with the distributed spinning reserve. This paper proposes an autonomous V2G control scheme through which user convenience in vehicles could be managed. Also, the proposed system strives to support the management of the power system contribution and battery condition during idle time. To verify the performance of the proposed system’s interface, system efficiency, and communication and control structure, an integrated interface controller, a controllable bi-directional power conditioner, and the test system responsible for electric vehicle battery test bed coordination (with a DC charging port) are used.