bluuebunny/crossref_metadata_2025 huggingface dataset:
Fog Based Three Layer Architecture for Privacy Preserving
Authors:   Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India., Jilla Ashwini , Sreedhar K. C. ,   Asst Professor Department of Computer Science and Engineering, Sreenidhi Institute of Science and technology, Yamnampet, Ghatkersar, Hyderabad, India.
Published: July 2020

Fog computing is one of the most latest technology used by the cloud providers to safe guard the user data and service provider’s data servers. Fog computing acts as mediator between hardware and remote servers or cloud servers. Cloud computing still has the lot of vulnerabilities. Privacy to the users data is main issue in the present cloud computing. Whenever users uploads data into cloud server then user will lose their right on their own data because users don’t know about, what cloud providers do with users data, they can sell the users data for their own profit without knowing to users. Fog computing provides lot of services like operation of computer, storage and networking services between users and cloud computing data centers. With the networking services users can lose their data privacy or leakage without knowing to user. Because public clouds are not secure enough and users doesn’t know where data is storing in cloud servers. Breaking the data into small parts can lead to loss of data and which it can create way to attackers to steal data. Even data might be changed instated of one data with another. Intelligence can be applied in the fog computing technology to use of computing resources and security reasons. Applying multiple layers of security features by using kubernets can improve better service to user and user’s data can be safe from the attackers. Whenever user lost connection with the server kubernets establishes reconnection between user and server. RSA256 encryption is applied to users data with this we can provide better security between cloud server and users.
Heterogeneous Networks in 5g using Joint Path Selection and Efficient Self Organization Protocol
Authors:   Department of Communication Systems from SRM Valliammai Engineering College, Chennai, India., Pavithra B. , James Komala ,   Professor, Department of ECE, SRM Valliammai Engineering College, Chennai, India.
Published: July 2020

Tree networks are systematically spread across multiple networks. This project proposes a framework for effective self-organization for 5 G heterogeneous networks. All nodes in this network are classified into two types: network nodes, and non-network nodes. Network nodes are able to broadcast packets to neighboring nodes. A tree-based network can then be obtained from one layer to another. The topology is dynamically balanced to balance energy consumption and extend the service life of the network. To test the current technique we perform tests with it. Results from the simulation show our proposed protocol can easily create a stable tree-based network. As the network size rising, the time for self-organization, average hop and error ratio for packets does not change any more. In comparison, packet success rates in effective self-organization protocol are significantly higher compared to AODV and DSDV. Non-network nodes collect the packets being transmitted and decide whether to access the network. We use various metrics such as number of child nodes, hop, contact distance and residual energy to meet the available sink nodes weight during the self-organizing process, the node with highest weight is selected as sink node. Non-network nodes will be transformed to network nodes if they effectively join the network.
A Hybrid Technique using CNN LSTM for Speech Emotion Recognition
Authors:   Department of Computer Science, Shri Mata Vaishno Devi University, Katra, J&K, India., Qazi Hafsa , Kaushik Baij Nath ,   Associate Professor, Department of Computer Science & Engineering, SMVDU, Katra, J&K, India.
Published: July 2020

Automatic speech emotion recognition is a very necessary activity for effective human-computer interaction. This paper is motivated by using spectrograms as inputs to the hybrid deep convolutional LSTM for speech emotion recognition. In this study, we trained our proposed model using four convolutional layers for high-level feature extraction from input spectrograms, LSTM layer for accumulating long-term dependencies and finally two dense layers. Experimental results on the SAVEE database shows promising performance. Our proposed model is highly capable as it obtained an accuracy of 94.26%.
Efficient Movement Compensation and Detection Algorithm using Blob Detection and Modified Kalman Filter
Authors:   Department of EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India. Affiliated to VTU, Belagavi, Karnataka, N Sridevi , Meenakshi M ,   Department of EIE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India.
Published: July 2020

In various real time applications such as security and surveillance etc., detection of movement from video sequence is commonly used. In such applications, time required to detect the movement and its accuracy is very crucial. In this paper, an efficient motion compensation and detection algorithm using Blob detection and modified Kalman filter techniques is proposed. The method is mainly based on Kalman filtering technique which is modified to compensate and detect the unwanted movement caused by the camera. Also the shadow effect caused by the variation in the intensity of light and object is removed using thresholding technique. Accuracy of movement detection is improved by implementing the blob detection method. The experimental results obtained from the developed algorithm is compared with few methods existing in the literature for validation.
Travel Time and Congestion Assessment Along Ujala Circle S.G. Highway Ahmedabad
Authors:   PG Student, Department of Civil Engineering, P.G. Center of Transportation Engineering, L.D. College of Engineering Ahmedabad, Gujarat., Mer Vivek , Patel V.R. ,   Associate Professor, Department of Civil Engineering, L.D. College of Engineering Ahmedabad, Gujarat., Patel A.K. ,   Assistant Professor, Department of Civil Engineering, Government Polytechnic Ahmedabad, Gujarat.
Published: July 2020

The approximately 25201084 (2018) vehicular citizenry in Ahmedabad city so it is very necessary to negotiate its movements and infirmity effects like as air and noise pollution & other environment effects, traffic congestion, time loss, and so on. S.G Highway has 44.5 km long stretch of Ahmedabad, an oldest and most substantial stretch which started from Ujala circle. For declamation the traffic congestion, classified volume count survey (by Video Graphic method), travel time and delay survey (by Moving Observer Method), and for speed-flow-density relationship Spot speed study at Ujala circle during Friday has been accomplished and analyzed. From the calculated data, graph of flow v/s density, speed v/s density and speed v/s flow relationship has been prosecute with the R2 value of each relationship. This analysis proved that current traffic situation at Ujala circle is highly congested, which leads to the higher travel time taken by vehicle compare to free flow condition. From all analyzed data, alternate invigorating measures are prospected. Based on those alternative invigorating measures best alternative is choose as well as bring off simulation and validation of Model in the VISSIM software, also design in AutoCAD for better illustration of issue.
Gesture Controlled Robot using Accelerometer
Authors:   Department of Electronics and Communication, Sharda University, Greater Noida, India., Mohan Aishwarya , Priyadarshini Rashmi ,   Department of Electronics and Communication, Sharda University, Greater Noida, India.
Published: July 2020

Robots are devices that can perform tasks with or without human intervention, based on inputs from its environment. Gestures can be explained as symbolic actions performed by humans having a meaning. In this project, a robot toy car has been developed where the user uses these very gestures to interact with the robot car rather than the established and current technology of using remote controllers with buttons and joysticks, or mobile applications. These gestures are identified with the use of an accelerometer(ADXL345). The entire project is split into two parts: the transmitter circuit and the receiver circuit, where the former uses ADXL345 for gesture recognition, and the latter uses Motor driver (L293D) to move the toy car.
IOT Power Theft Identification and Monitoring
Authors:   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India., Kumar Abhijeet , Gupta Divya ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India, Jadon Akshat ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India, Kumar Anubhav ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India, Singh Jay ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India
Published: July 2020

Now a days we can’t imagine today’s life without electricity, almost all the things, equipment and appliances we are using in day to day life are using ELECTRIC power to run smoothly. Ever since the advent of electricity it has become an integral part of our life. Solar energy is the alternative but is has some limitations like environmental changes, high initial cost etc. In todays present world every little appliance works on electricity from the electric toothbrush to huge motors. So from rural to urban and from domestic to industrial areas the use of electricity is increased but with the power theft hand in hand. Using IOT based power theft identification and monitoring a system can find the dishonest user by identifying the status of energy meter at the back end of power office.
Overspeed Detection using Image Processing for Indian Highways
Authors:   Assistant Professor, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India., Kotagi Punith B , N Punith Kumar ,   Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India., Madakari Parishwanath ,   Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India, H Omkar V ,   Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India., Vishwanath  ,   Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
Published: July 2020

Over speeding of vehicles is the major cause of accidents in recent times. Monitoring of such over speeding vehicles especially on highways is of prime importance. Many manual methods are being used to detect the over speeding vehicles by traffic control team. However, these methods require lot of man power and continuous monitoring by traffic personnel. In this study, an attempt is made to develop an automatic speed monitoring system, which provides a simple way to monitoring speeds of all the vehicles from a centralized control room. This system calculates the instantaneous speed of vehicle with help of sensors and the over speeding vehicle is detected using an image processing technique using Python programming language. The developed model is validated with real world traffic data and comparative analysis of speeds obtained by manual method and developed model shows that model truly represents the field condition.
Design and Fabrication of Automatic Dosa Maker
Authors:   Department of Mechanical Engineering, Rajadhani Institute of Science and Technology, Thiruvananthapuram, India., Krishna Ajay , M Akash.V. ,   Department of Mechanical Engineering, Rajadhani Institute of Science and Technology, Thiruvananthapuram, India., S Akhil. ,   Department of Mechanical Engineering, Rajadhani Institute of Science and Technology, Thiruvananthapuram, India., Prathap Dhanushma ,   Department of Mechanical Engineering, Rajadhani Institute of Science and Technology, Thiruvananthapuram, India., S Bindu.S. ,   Department of Mechanical Engineering, Rajadhani Institute of Science and Technology, Thiruvananthapuram, India.
Published: July 2020

Dosa is a traditional food common in South Indian homes. It has been an integral part of South Indian breakfast since ages. Dosa is usually cooked with a non-stick pan and spatula which is time consuming and needs continuous attention of the cook. As the value of time is increasing day by day, especially with the increase in working women, the demand for ready-to-eat traditional food is also increasing. Different prototype developments for Dosa Maker have been conducted widely. Automation plays an important role in the food sector. Automation reduces cycle time, limits human interference hence increasing productivity. The main problem that arises during the design of Dosa maker is to bake both sides of the Dosa automatically. The present work mainly focuses on design, development and fabrication of a fully Automatic Dosa Maker enabled to bake both sides of Dosa without any manual help. A programmed Arduino Mega is used to control the working of the entire system. A servomotor is used here, which helps to flip the Dosa in order to bake both the sides thus enabling to make tasty and hygienic Dosas. The Automatic Dosa Maker is a user friendly and portable machine. As the whole device works on its own it is easy to operate. The whole device runs on electric power. Using electricity as a source of power has less impact on the environment compared to the conventionally used petroleum gas.
Use of Electronic Waste Concrete for Road Construction
Authors:   Department of Civil Engineering, G.H. Rasoni University, Amravati, India., Ingole Aniket Ravindra , Gulhane Shweta Kailashrao ,   Department of Environmental Engineering, College of engineering Pune, Pune, India., Shirbhate Shivani Sanjay ,   Department of Civil Engineeing, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India., Chavhan Mayur Pandit ,   Department of Civil Engineering, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India, Makde Toshini Narendra ,   Department of Civil Engineering, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India
Published: July 2020

In this exploration study the investigation of an electronic waste material that we will utilize by beyond any doubt procedure and use in construction. With the advancement of the street exchange and developing traffic on streets, construction materials have also been developed and extra whimsical fixings are consolidated. The materials thus we tend to zone unit furnished with supportive and profitable information concerning these materials. The Electronic wastes have a few endowments over customary/conventional materials and techniques. This undertaking can lead an examination on work electronic waste and blending it with Concrete to get streets in India and contrast and the natural and financial conditions some of these materials zone unit similarly less expensive and supply extra quality when contrasted with antiquated street materials. This examination can return up with accommodating information and making mindfulness among the student inside the exchange concerning waste issue. All together that one will have a stage towards progressively explained information concerning these materials as have the option to execute on field which can without a doubt improve the degree of construction.
Non Small Cell Lung Cancer Classification from Histopathological Images using Feature Fusion and Deep CNN
Authors:   working as a lecturer in the Department of Computer Science and Engineering, Dhaka International University (DIU). Dhaka, Bangladesh., A Alam Nur , Rahman Md. Mahbubur ,   working as a lecturer in the Department of Computer Science and Engineering, Dhaka International University (DIU). Dhaka, Bangladesh, Uddin Khandaker Mohammad Mohi ,   working as an academic researcher and a lecturer in the Department of Computer Science and Engineering, Dhaka International University, Dhaka., Bashir Al ,   researcher and faculty member of Dhaka International University in the Department of Computer Science and Engineering. Dhaka, Bangladesh., Akhtar Jahanara ,   currently serving as an Associate Professor of Computer Science and Engineering Department, Dhaka International University, Dhaka, Bangladesh. She is a Research Fellow (PhD) in the department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh.
Published: July 2020

Lung cancer is the overgrowth of cells in digestive organs. Identifying different types of lung cancer (squamous cell cancer, large cell carcinoma and adenocarcinoma) from lung histopathological images is outrageous works that shorten the chance of infected with lung cancer in the future. This research propounds an accurate diagnosis scheme using various neural network features and fusion of contourlet transform from lung histopathological image. This lesson has used several pre-train models (Alexnet, ResNet50, and VGG-16) in addition to divers scratch models while the pre-train Resnet50 model works better. The two reduction techniques (Principle Component Analysis (PCA) and Minimum Redundancy Maximum Relevance (MRMR)) have used to classify the type of lung cancer with the extraction of the most significant properties. In Convolution Neural Network (CNN) based lung cancer detection, the reduction approach PCA performs better. This proposed methodology is performed on ordinary datasets and establishes comparative better performance. The accuracy of this paper is 98.5%, sensitivity 96.50, specificity 97.00%, which is more effective than other approaches.
A Novel Bit plane Compression based Reversible Data Hiding Scheme with Arnold Transform
Authors:   Assistant Professor, Department of Computer Science and Engineering, SRM University, Andhra Pradesh, India., Manikandan V. M. , Masilamani V. ,   Associate Professor, Department of Computer Science and Engineering, Institute of Information Technology Design and Manufacturing Kancheepuram, Chennai, Tamil Nadu, India.
Published: July 2020

Reversible data hiding (RDH) is an active research area in the field of information security. The RDH scheme allows the transmission of a secret message by embedding it into a cover image, and the receiver can recover the original cover image along with the extraction of the secret message. In this paper, we propose a bit plane compression based RDH scheme to hide a sequence of secret message bits into a grayscale image. In the proposed method, a selected bit plane of the cover image will be compressed using run-length encoding (RLE) scheme. Further, the RLE sequence has been efficiently encoded as a binary sequence using Elias gamma encoding method. The Elias gamma encoded bit sequence concatenated with the secret message bits are used to replace the selected bit plane after performing a sequence of Arnold transform. The Arnold transform helps to find a new scrambled version of the bit plane which is very close to the original bit plane to ensure the visual quality of the stego image. The RLE is a lossless compression technique, therefore recovery of the original image is possible by the receiver. The experimental study of the proposed scheme on the images from standard image dataset (USC-SIPI image dataset) shows that the proposed scheme outperforms the existing scheme in terms of the visual quality of the stego image without compromising the data embedding rate.
Cryptographic Scheme for Lightweight Device Such as IoT using Pseudo Stream Cipher and Trigonometric Technique with Key Generation
Authors:   Research Scholar, Department of CSE, GITAM Institute of Technology, GITAM Deemed to be University, Vishakapatnam, AP, India., Kosta Bhaskar Prakash , Naidu Pasala Sanyasi ,   Assoc Professor, Department of CSE, GITAM Institute of Technology, GITAM Deemed to be University, Vishakapatnam, AP, India.
Published: July 2020

The Internet of Things (IoT) being a promising innovation of things to come and is required to associate billions of gadgets. Web of things (IoT) gadgets have been generally utilized, and Electronic correspondence is expanded quickly. The expanded number of correspondence is required to create piles of information and the security of information can be a danger. Information gathered by the IoT gadgets and the information which IoT gadget send might be the portal for an assailant to break client security. To guarantee secure correspondence between IoT centers and central point(server), a cryptographic plan for lightweight gadgets is proposed. In this plan, we make utilize pseudo stream cipher with key generation for rearranging key synchronization and improving security.. The common verification, secret key for meeting synchronization and refreshing secret key for session are finished by trading scrambled messages. Likewise, the key length and update cycle for mystery key for meeting are adaptable as indicated by application. Keys are created from mystery key for meeting for improving the security. We contrasted the plan's security and execution and some lightweight plans. As indicated by the investigation, the proposed plan can give greater security includes low overhead of correspondence which is correct for IoT Node with restricted resource and power. Encryption and decoding is finished utilizing trigonometric ideas and by utilizing the idea of stream figure. Trigonometric ideas are lightweight and improve the security up by an extraordinary degree by diminishing the odds of cryptanalysis. When contrasted with different calculations like Hill figure, RC4, RSA and Present(Lightweight square figure) and so forth, the proposed calculation gives better execution
Inventory Model with Inflation under Credit Period and Shortage
Authors:   Department of Mathematics, D.N. College, Meerut, India., Harit Anjali , Sharma Anurag ,   Department of Mathematics, D.N. College, Meerut, India, Singh S.R. ,   department of mathematics, C. C. S. University, Meerut, Uttar Pradesh, India.
Published: July 2020

In this study, an deterministic inventory model based on the concept of permissible delay in payments is discussed. Demand is assumed to be price dependent, and a constant price function represents it. Shortages are allowed and partially backlogged. In the realistic environment, it observed that there are several items like dry fruits, vegetables, grocery, and fruits, etc. which deteriorate after a time gap. So this model is also based on non-instantaneous deterioration. This study aims is to optimize the optimal order level and selling price to maximize the retailer`s total profit. Finally, numerical examples solved by using a proposed algorithm to show the validity of the model and sensitivity analysis done on parameters..
Application of Remote Sensing and Geo Statistical Analysis for Soil Salinity Monitoring in Tina Plain Area of Egypt
Authors:   Associate Professor, Drainage Research Institute (DRI), National Water Research Center, Delta Barrages, Cairo Egypt., Sallam Gehan A.H. , Embaby Mohamed ,   Researcher, National water research center, Cairo, Egypt., Nower Mohamed ,   Associate Researcher, National water research center, Cairo, Egypt.
Published: July 2020

In Egypt require to improve agricultural production to save food demand with increase population. Soil salinity is a significant attractive problem for agriculture in irrigated areas. As a result, monitoring of soil salinity is required for salinization control. One of the greatest challenges faced by Egypt’s decision-makers is the acquisition of reliable integrated soil salinity information to introduce and recommendation of a simple approach to formulating a guideline for stakeholders. Saline affected areas are vast, making it extremely difficult to examine soil quality with field and laboratory data to provide reliable approach to forecast and monitor soil salinity. Objective of this paper is to research remote sensing and ArcGIS tools by Geo-Statistical Analyst techniques to map saline-sodic heavy clay soils of the Tina plain area in Egypt. Tina Plain characterizes a serious area for potential development of agricultural land in Egypt. Satellite images were downloaded by Landsat 8, Sentinel-2A, Sentinel-1, and Synthetic Aperture Radar C-band data were wont to map soil salinity within the area. By coefficient of correlation method were preformed, evaluated and compared of the Three models. The results revealed that the Sentinel-2A optical imaging satellite yielded the very best prediction performance. ArcGIS Geo-Statistical Analyst was also successfully wont to predict and map the saline-sodic heavy clay soils with a mistake percentage of about 4.28%, which is taken into account as a minor error. generally, the study confirms that the Remote Sensing and ArcGIS Geo-Statistical Analyst are often considered by researchers and decision-makers as a credible, cost-effective, and time-controlled techniques to work out and predict the extension of soil salinity.
Application of WordNet for Text Analysis in Different Domains
Authors:   Student, Department of CSE, VIT, Vellore, Tamil Nadu, India., Lakhani Suyash , Jhamb Ridhi ,   Student, Department of CSE, VIT, Vellore, Tamil Nadu, India., Arora Mayank ,   Student, Department of CSE, VIT, Vellore, Tamil Nadu, India, Kandasamy Saravanakumar ,   Teacher, Department of CSE, VIT, Vellore, Tamil Nadu, India.
Published: July 2020

The following paper examines and illustrates various problems which occur in the field of Natural Language Processing. The solutions used in these papers use WordNet in one way or the other to enhance or improve the efficiency of the projects.WordNet can therefore be viewed as a combination and an augmentation of a word reference and a thesaurus. While it can be used by developers and programmers via a web browser, its prime use is in automatic text analysis and applications based on AI.
Artificial Neural Network for Cursive Handwriting Recognition System
Authors:   Assistant Professor, Department of Computer Science, DAV College for Boys, Hathi Gate, Amritsar. India., Gupta Aditi
Published: July 2020

Cursive Handwriting acknowledgment is an extremely testing zone because of the one of a kind styles of composing starting with one individual then onto the next. Right now, disconnected cursive composing character acknowledgment framework is portrayed utilizing an Artificial Neural Network. The highlights of every character written in the information are extricated and afterward sent to the neural system. Informational collections, having writings of various individuals are utilized in making framework. The suggested acknowledgment framework yields elevated steps of exactness when contrasted with the ordinary methodologies right now. This framework can effectively perceive cursive messages and convert them into auxiliary structure.
Atomic, Wireless Methodologies for Symmetric Encryption
Authors:   Computer Science & Engineering Department, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India., Shah Sohil R , Parmar Kiranbhai ,   Computer Science & Engineering Department, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India., Parmar Abhijitsinh ,   Computer Science & Engineering Department, Parul Institute of Engineering & Technology, Parul University, Vadodara, Gujarat, India.
Published: July 2020

Unified concurrent algorithms have prompted many key advances, including compose back reserves and Smalltalk. Given the flow status of steady time models, analysts amazingly want the improvement of open private key sets. We verify that Moore's Law [6] can be made cacheable, relational.
Spam Audit Detection Through Content Analysis
Authors:   Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India, Mujawar Uzma A , Math Mallikarjun M ,   Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India
Published: July 2020

Nowadays e-commerce has gained recognition in day to day life; hence network became tremendous source for gathering customer reviews/opinions by marketplace analyzers. The count of user reviews that merchandise receives is increasing at high velocity. Opinions being posted on social media differ significantly in superiority. The client needs to essentially go through all reviews regardless of their superiority and decide whether to purchase or not purchase the manufactured goods. The main difficulty in obtainable study on opinion assessment is that all opinions are considered regardless of the implication of each of them. Hence categorization of opinions depending on implication is an essential job. In this article, attempt is made for opinion assessment depending on its superiority, and help buyer make a proper buying judgment. A web mining technique that is narrative and effective is used to assess the consumer opinion for manufactured goods depending on marked allocation are anticipated. The superiority consideration of consumer reviews are classified as genuine, near duplicate, and duplicate opinion. It is carried out in three steps: (1) Recognize opinion regions to take out opinions. (2) Take out and separate features of reviews by quartile compute and assign weights to the features that belong to each group. (3) Consider the feature weights and group belongingness to assess the reviews. Investigational output demonstrates the usefulness of the proposed method which measures the quality of review and assesses it in view of that. The efficiency of client opinion summarization task is probably improved by recognizing and discarding irrelevant opinions
Smart Parking Detection System using IOT
Authors:   Student, Department of Electronic and Communication, R.V. College of Engineering, Bengaluru, Karnataka,, Roy Pooja , Raj Amit ,   Student, Department of Electronic and Communication, R.V. College of Engineering, Bengaluru, Karnataka,, Mathur Anirudh ,   Student, Department of Electronic and Communication, R.V. College of Engineering, Bengaluru, Karnataka,, katiyar Rajani ,   Assistant Professor, Department of Electronic and Communication, R.V. College of Engineering, Bengaluru, Karnataka, India., Rani Usha ,   Associate Professor, Department of Electronic and Communication, R.V. College of Engineering, Bengaluru, Karnataka, India.
Published: July 2020

With the increase in vehicle production and world population, more and more parking spaces and facilities are required. In this paper a new parking system called Smart Parking detection System is proposed to assist drivers in a residential building or office where all the owners or employee will be allotted with a particular parking space to know the occupancy of the parking space if any wrong car is parked in their slot. The new system uses infrared sensors to detect either car park occupancy or improper parking actions. Features of smart parking detection system include detection of car occupancy in a parking slot , getting information of the parked vehicle if it doesn’t matches with the car number registered and notify the details of the car parked by sending message to a registered phone number. This paper also describes the use of a metal rack to protect the sensors from external damage.
Contribution of Artificial Intelligence and Virtual Worlds towards development of Super Intelligent AI Agents
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Koul Simran
Published: July 2020

Artificial Intelligence (AI) has always been a goal as well as a challenge in the scientific field with a whole new world being accessible to people by accomplishing various achievements in the past decades. However, in the last many years, tremendous popularity has been received by the interactive computer games involving multi-user virtual environment which has been the prime attraction for millions of users around the world. This paper focuses on AI agents along with exploring the progress towards super intelligent AI and the roles played by artificial intelligence and virtual worlds in its development. It follows a unique approach to give an unbiased view on the various problems and the relation between them. There are namely two benefits from this research: firstly, evolution in science and technology requires a profound understanding on the advanced AI agents in the virtual worlds, and secondly, the virtual worlds have always been a magnificent platform for research on the challenging problems faced in the domain of Artificial Intelligence.
Reducing Accidents Through Detection of Black Hole Attack in VANETs
Authors:   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India., Satish Dekka , Raju K.Narasimha ,   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India., Rao B.Srinivasa ,   ,Department of Computer Science and Engineering, Dadi Institute of Engineering & Technology(DIET), Visakhapatnam(AP),India., Ratnam G.Sita ,   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India., Raja P. ,   Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
Published: July 2020

Vehicular ad hoc networks (VANETs) are upcoming prominent technology in the field of communication with vehicles. It is a combination of mobile and sensor network features. The random change in position of vehicles in VANET made the system more vulnerable to attacks. The most important attack in VANETs to be considered is Black hole attack which increases the chances for packet loss and in turn to accidents. There is a necessity to develop the techniques to detect Black hole attacks and reduce number of accidents. In this paper, a technique called “Detection of Black hole in VANET using AODV (DBVANETuAODV)” is proposed to find and prevent Black hole attack and thereby reducing occurrence of accidents. The proposed solution is implemented using AODV Routing protocol in VANET.The experiments are conducted with SUMO and NS2 simulators to depict network environment in an inexpensive way. The proposed method “DBVANETuAODV” is compared with AODV with black hole and the result shows the proposed method provides a significant improvement.
Processos de (des)legitimação do cânone: o negro na história da literatura brasileira
Authors: Calegari Lizandro Carlos , Moreira Fábio Martins
Published: July 2020

O propósito deste trabalho consiste em refletir sobre os processos de legitimação e de desligitimação de obras literárias do cânone brasileiro, atentando, principalmente, para a questão da representação do personagem negro. Assim, em um primeiro momento, realiza-se estudo sobre as bases de formação e de sustentação do cânone literário e, em seguida, projeta-se um olhar sobre o negro, em particular, em algumas obras publicadas a partir do romantismo (1836). Desde o momento em que a literatura brasileira volta o seu olhar sobre a cor local, observou-se que o negro foi representado de forma preconceituosa, o que justificou a sua exclusão ou o seu pouco valor em obras consideradas canônicas. Para o embasamento desta proposta, levaram-se em conta abordagens de autores como Harold Bloom, Leyla Perrone-Moisés e Roberto Reis, entre outros.
Não ser ou ser outro: eis a questão?
Authors: Lima Gabriel Dos Santos
Published: July 2020

Desde a publicação da seminal Formação da literatura brasileira de Antonio Candido, a historiografia literária latino-americana foi motivo de diversas discussões, as quais puseram em debate o estatuto da literatura enquanto sistema. O presente artigo debruça-se sobre as principais linhas de pensamento que tomaram parte na polêmica continental; a saber: o paradigma da formação representado pelo próprio Candido, a corrente revisionista da antropofagia – cujo principal expoente foi Haroldo de Campos, o modelo transculturatório de Ángel Rama e, por fim, os chamados estudos pós-coloniais. Observando o surgimento de cada uma dessas vertentes em seus respectivos contextos históricos, pretende-se compreender suas razões e identificar seus impasses, a fim de sugerir uma abordagem contemporânea do cânone, objetivamente atenta aos problemas sociais da atualidade.
Il clima socio-politico prima delle elezioni europee 2019
Authors: Pessato Maurizio , Fonda Rado , Benetti Riccardo
Published: July 2020

The SWG Institute, together with other European partners (Sigmados, Insa, Opinion-Way and IBRiS), carried out some surveys in the months preceding the European Parliament election 2019 in several European countries in order to measure the political climate perceived by citizens on topics such as: European Union, institutions, emotions and main issues present in national political debates. In the analysis, the convergence and divergence features between Italian and European citizens will be highlighted. Furthermore, in addition to the data concerning the entire population, data regarding specific socio-demographic segments of the electorate will be compared.
Metacercárias (Platyhelminthes: Digenea) em espécies de peixes ornamentais de água doce no Sudeste do Brasil: relato de caso
Authors: DOMINGUEZ H.N. , BALIAN S.C. , TANCREDO K.R. , MARTINS L.M. , Magalhães Cardoso Pedro Henrique
Published: July 2020

Metacercárias são larvas de trematódeos digenéticos comumente encontradas encapsuladas em brânquias, pele, músculos e órgãos internos. Geralmente não são prejudiciais aos animais quando em baixo número, porém, em altas infestações podem levar a óbito. O presente estudo relata infecções por metacercárias em 58 peixes ornamentais de água doce, provenientes de produtores de dois municípios do estado de São Paulo (Iguape e Jacareí), sudeste do Brasil. Após a análise, 13% dos animais (8/58) apresentaram metacercárias encistadas no tecido subcutâneo e 43% (25/58) apresentaram metacercárias encapsuladas em brânquias. Estes resultados destacam a importância do controle sanitário de peixes e na realização de diagnósticos que possam desenvolver programas de biosseguridade no cultivo de peixes ornamentais. É discutida a importância de assegurar a sanidade de peixes ornamentais de forma a tornar a atividade economicamente viável e reduzir perdas econômicas na produção.
EDUCAÇÃO INCLUSIVA E EDUCAÇÃO FÍSICA ESCOLAR: PERCEPÇÕES E DESAFIOS DO PROFESSOR
Authors: Viola Juliana Cristina , Bezerra Thiago Augusto Rochetti , Politano Hugo , Pereira Adriano de Almeida , Oliveira Matheus Valério Almeida , Carvalho Alexandre Freitas de , Guedes Uebister Igor dos Santos , Passos Ricardo Pablo , Vilela Junior Guanis de Barros , Mercadante Patrícia Kelly
Published: July 2020

A trajetória da história da Educação Inclusiva culminou em diversos desafios para a disciplina de Educação Física, o que leva vários autores a discutir este tema. O presente estudo teve como objetivo compreender as percepções e os desafios dos professores de Educação Física quanto à Educação Inclusiva. Trata-se de uma pesquisa bibliográfica. Observou-se que as publicações sobre o assunto, mostrou que em geral, os professores encontram dificuldades para garantir uma aula de Educação Física que possibilite a participação de todos os alunos e que, por meio da formação continuada, é possível ampliar o conhecimento dos professores quanto à Educação Inclusiva nas aulas de Educação Física para garantir uma Educação para todos e com todos.
HISTORY OF FOREIGN LANGUAGE EDUCATION IN KARAKALPAK SCHOOL
Authors: Bekjanova Ainura Markhabaevna
Published: July 2020

This article considers the history of teaching foreign languages in the conditions of Karakalpakstan, chronologically covering the period from the end of the XIX to the end of the XX centuries. Teaching arabic, then opening Russian-native schools and introducing the Russian language into the program, forming a new education system and teaching German, English and French in schools in Karakalpakstan - here is a list of issues that are addressed in this material. The author tries to carry out a comparative analysis of methods of teaching foreign languages of the pre-Soviet and Soviet periods. This issue is actualized by the fact that during the period when Uzbekistan achieved national independence, this issue has become an urgent task of the educational process.
KEY WORDS: education system, mektebs, general education schools, Russian language, foreign languages, methods of teaching.
Quality of Life Initiative Fall 2018
Authors: Oxley Bob , Davenport Kamrie , Hager Edward L. , Mattei Dustin , Taylor Sandra M.
Published: July 2020

This case study collected data over three months to determine the probability of a 25-year old-single mother with two children, ages three and four, to have a quality of life. The basic life variables selected for this case were groceries, daycare, health insurance, transportation cost, and housing. The study found that the single mother could not afford to pay for basic life expenses and would go into debt by roughly $1,218 a month, depending on her spending choices. She works a full-time job that pays $9 an hour, bringing in a net income of $18,720 per year. The mother of two would have to earn or receive help equaling $34,946.46 a year to pay for the categories selected and an extra $1,200 in yearly savings for emergencies to achieve the quality of life standard.
Analisis Pengaruh Jumlah Penduduk terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linear di Kota Palembang
Authors: Suhandi Nazori , Putri Efri Ayu Kartika , Agnisa Sari
Published: July 2020

Abstract

This paper aims to convey the development of the effect of the population on the number of poverty in the city of Palembang from 2010 to 2015.There is no accurate calculation made to determine the number of poor people in Indonesia, always with controversy because each calculation uses different criteria.This differentiation is based on its causing factors to allow specific alleviation policy implication. The cause of such poverty, in general, is that the poor people have no capacity and capability to access economic sources. This analysis is done using simple linear regression method, population level (X) and poverty (Y) in Palembang city year 2010 - 2015. From the data, it can be concluded that the variable of Population (X) has negative influence to the variable Number of Poverty (Y) in Palembang City. Simultaneously, the number of population has an effect on the amount of poverty in the city of Palembang by 0,398%, while -14,045% and the rest influenced by the variable outside of studied.

Keyword : Poor people, Regression, Causes Of Poverty

Abstrak

Jurnal ini bertujuan menggambarkan pengembangan pengaruh populasi pada jumlah kemiskinan di kota Palembang dari tahun 2010 sampai tahun 2015. Tidak ada penghitungan yang akurat yang telah dibuat untuk menentukan jumlah orang miskin di Indonesia, selalu muncul kontroversi karena setiap penghitungan memiliki kriteria tersendiri. Perbedaan ini didasarkan pada faktor penyebab yang berdampak pada implikasi politik. Penyebab kemisikinan, umumnya adalah bahwa orang-orang miskin tidak memiliki kapasitas untuk memasuki sumber ekonomi. Analisis dilakukan dengan menggunakan metode regresi linier sederhana, tingkat populasi (X) dan kemiskinan (Y) di kota Palembang tahun 2010-2015. Dari data disimpulkan bahwa variabel jumlah populasi (X) memiliki pengaruh negatif pada variabel jumlah kemiskinan di kota Palembang. Secara simultan, jumlah populasi memiliki pengaruh pada jumlah kemiskinan di kota Palembang yaitu 0,398%, sedangkan -14,045% dan sisanya dipengaruhi oleh variabel diluar studi ini.
Kata kunci : Orang miskin, Regresi, Penyebab Kemiskinan
The Effect of Aloe Vera Extract to Extensive Lesion and Expression of Transforming Growth Factor (TGF-β) on Alkaline Chemical Trauma Cornea Model
Authors: Fahcreza  , Iskandar Elsa , Hidayat Rachmat , Purwanita Petty , Tribowo Anang , Erna Riani
Published: July 2020

Abstract

Background: Chemical trauma to the cornea is an emergency condition of the eye that requires early diagnosis and good treatment. Alkaline have ability to saponify fatty acids in cells and cell membranes which can make penetration into the stroma and destroy proteoglycans and collagen in cells. Aloe vera (AV) contains several active substances that are reported to have anti-inflammatory, immunomodulatory, and wound healing effects. AV has been reported to accelerate the healing process of corneal epithelial defects by increasing fibroblast proliferation, collagen production and growth factor production. This study aims to determine the difference between the effect of aloe vera extract with a concentration of 10%, 20%, 40% and BSS on the healing of extensive corneal lesions in white wistar rats alkaline trauma models.

Method: This study was an experimental study with a pre and posttest only with control group design in vivo approach to 30 Wistar white rats which were divided into 5 treatment groups for 3 days. Comparative analysis of effectiveness using the ANNOVA test or the Kruskal Wallis test and continued by the post hoc test.

Results: Based on the one way ANOVA test there was a statistically significant difference in effectiveness between the five treatment groups on the percentage of corneal wound healing area and TGF-β expression with an assessment of p = 0,000 each. The administration of alloevera (AV) concentration of 20% had a significant difference in percentage of healing of corneal lesions and TGF-β expression compared with other treatment groups with p = 0,000 each. Large differences in the area of corneal lesions in the 40% AV group were -0.45 in the BBS group, 0.146 in the 10% AV group, 0.493 in the 20% AV group. The difference in the AV group 10% was 0.30 in the BBS group, -064 in the AV group 20%, and -0.14 in the AV group 40%. However, TGFβ expression in the normal control group that did not receive treatment was 54.94 (53.21-56-12). TGFβ levels in the BSS group were 10.44, the 10% aloe vera group was 25.43, 47.99 for the 20% aloe vera group and 37.95 for the 40% aloe vera group.

Conclusion: There is a difference between the effect of aloe vera extract with concentrations of 10%, 20%, 40% and BSS on the extensive healing of corneal lesions in white wistar rats with alkaline chemical trauma models.
Diagnosis and Management of Central Serous Chorioretinopathy
Authors: Ammar Fardhana  , Ansyori AK , Amin Ramzi
Published: July 2020

Introduction. Abnormalities in the macula is a very significant disorder. One abnormality that can be found is central serous chorioretinopathy (CSC). This case report aims to explain the diagnosis and management of Central Serous Chorioretinopathy.

Case presentation. A 32-year-old man, a soldier, came for treatment at hospital on May 2017. Anamnesis of major complaints right eye blurred since, 1 week before hospitalization. From the investigations, in the right eye, the armsler grid examination showed an impression of metamorphopsia. On examination of the fundus photo, an impression of macular area edema with a clear border is obtained. OCT examination revealed that there was elevation of neuroretina tissue in the macula. This patient was managed by laser photocoagulation at the point of leakage of subretinal fluid.

Conclusion. The diagnosis of central serous chorioretinopathy is made through history taking, ophthalmological examination, and supporting examinations of armsler grid, photo fundus, OCT and FFA. Laser photocoagulation can be performed, especially in cases of persistent, chronic, recurrent, or occupational needs.