bluuebunny/crossref_metadata_2025_split huggingface dataset:
Individual differences in discourse priming
Authors: Koch Nikolas , Quick Antje Endesfelder , Hartmann Stefan 
Published: January 2021

Abstract
In this paper we use corpora of four monolingual German-speaking children at 2 years of age to analyze the effect
of input on the activation of chunks and frame-and-slot patterns. For this purpose, we first investigate to what extent chunks and
patterns can be traced back to the direct input compared to input which is not part of the immediate discourse situation. Second,
we take mean length of utterance (MLU) into account to see how the level of proficiency influences the amount of priming in each
child. Results indicate that children with a lower MLU rely more on priming than children who are more proficient. This conclusion
is consistent with the usage-based assumption that children’s linguistic development starts with a strongly item-based
reproduction of input patterns that gradually gives rise to increasingly creative and productive uses of constructions.
Making good on a promise
Authors: Trijp Remi van 
Published: January 2021

AbstractConstruction Grammar was founded on the promise of maximal empirical coverage without compromising on formal precision. Its main claim is that all linguistic knowledge can be represented as constructions, similar to the notion of constructions from traditional grammars. As such, Construction Grammar may finally reconcile the needs of descriptive and theoretical linguistics by establishing a common ground between them. Unfortunately, while the construction grammar community has developed a sophisticated understanding of what a construction is supposed to be, many critics still believe that a construction is simply a new jacket for traditional linguistic analyses and therefore inherits all of the problems of those analyses. The goal of this article is to refute such criticisms by showing how constructions can be formalized as open-ended and multidimensional linguistic representations that make no prior assumptions about the structure of a language. While this article’s proposal can be simply written down in a pen-and-paper style, it verifies the validity of its approach through a computational implementation of German field topology in Fluid Construction Grammar.
Postharvest packaging.
Authors: Golding John 
Published: January 2021

Abstract

Packaging is an essential component of getting horticultural produce (fruit, vegetables or cut flowers) from the farm to the consumer. Packaging allows for the ease of handling and serves a vital role to protect and maintain product quality through the supply chain. Packaging of horticultural produce can be made of a range of products such as wood, fibreboard, jute (hessian) or plastics, where each packaging type is suitable for different applications. The best packaging type is the one that meets its purpose.
Remote Controlled Road Cleaning Vehicle
Authors: Balaji B. , Nivedha S. 
Published: January 2021

Abstract
Cleaning the house on customary premise is a requesting and testing task particularly when there are kids in the house. In this, we may make a stride towards the arrangement of this issue. The progressions made in innovation of advanced mechanics have made existence of humankind especially simpler and agreeable. This paper depicts a keen street cleaning robot that permits cleaning the street by offering directions to the robot. This robot makes street cleaning measure simple and quick using a remote mechanical cleaning framework. Subject robot works in self-governing mode just as in manual mode alongside extra highlights like planning for explicit time and pack less earth compartment with auto-soil removal component. This work can be helpful in improving way of life of humanity.
An Adaptive FH/MC-CDMA to Improve Channel Quality for Multiuser Using Variable Code-Based Carriers
Authors: Saravanan M. 
Published: January 2021

Abstract
The adaptive variable code-based carriers for multiusers in a common channel of communication is a technique of Multi-Carrier Code Division Multiple Access (MC-CDMA). It is an advanced mode of communication, where multiple users are communicating with different code and a different carrier. The proposed adaptive frequency hopping technique in MC-CDMA will give high signal to noise ratio value mitigating multiple access interference. Proposed adaptive technique detects multi-users with the help of matched filters. The simulation of the above system is done with correlated sub-carriers in the presence of realistic fading channels and even imperfect channel state information for recovering at the transmitter. The performance of an improved allocation algorithm for MC-CDMA system with adaptive frequency hopping is investigated. Imperfect channel state information at the base station does not affect the performance of the proposed technique due to the combined allocation algorithm and multi-user detector employment. The above combination mitigates multiple access interference efficiently, and increases the system capacity in a significant way compared to non-adaptive variable code-based carrier system. The results of the simulation confirm the above said performance factors with realistic correlated sub carriers that are faded with practical communication system parameters.
Brain Tumour Segmentation and Stage Classification Using SVM Classifier and Notification Using GSM Module
Authors: Jayabharathy K. , Vigneswaran N. , Vignesh R. 
Published: January 2021

Abstract
A tumour is any unwanted growth of tissues in any part of the body. About 50% of the people affected by primary brain tumour die each year. The foremost aim of this paper is to put forth a method that not only identifies the tumour affected area in brain, but also indicates its stage and sends notification by means of messages and mails to the concerned people (relatives, guardian, friends or even the patient itself, if needed). Here MRI (Medical Resonance Imaging) images are used to detect the tumour affected brain region by SVM (Support Vector Machine) algorithm. The software output has been simulated using MATLAB software. Furthermore GSM (Global System for Mobile communication) is used to send messages and mails to the concerned people. The final extracted image will be sent through mail. The medications to be taken by the patient will be sent through messages (SMS). The entire procedure includes, pre-processing (RGB to gray conversion and noise removal) of the input image, feature extraction, Localization of tumour, Morphological operations (dilation and erosion), segmentation and finally information sharing using UART and GSM module
Design and Analysis of Modified UWB Mono-Cone Antenna for WBAN Applications
Authors: Selvathi D , Bama S 
Published: January 2021

Abstract
A low-profile UWB antenna is presented in this paper for wireless body area network (WBAN) applications. The proposed antenna consists of a modified mono-cone structure by adding a semi-sphere on top of the mono-cone. A top-plate is added as overhead to the proposed antenna. This plate leads to a height reduction when compared to conventional mono-cone antennas. In this paper, the effect of ground plane dimensions, effect of top-plate dimensions, effect of the supporting legs and effect of the total height of the antenna is studied to get a better insight into the working of the radiating structure. The antenna operates in the frequency range of 4.1 GHz to 10.1GHz with return loss less than -10dB. The bandwidth of the proposed antenna is 6 GHz. The frequency domain results are obtained by simulating the design using Ansoft HFSS. The voltage standing wave ratio is less than 2 within the frequency range of the proposed antenna design. The influence of the human proximity on the antenna was simulated by placing the proposed antenna over a human body model.
Detect the Replication Attack on Wireless sensor network by Using Intrusion Detection System
Authors: Manju Bala P. , Usharani S. , Abarna V. 
Published: January 2021

Abstract
Remote sensor systems are conveyed in dense regions wherever the sensor nodes are physically seized by intruders. As several nodes take care of the entire group area, the captured nodes are repeated. To rectify this attack, a response was provided. Be that as it may, because of the absence of improvements in the device size, these structures have low efficiency to recognize the clone hubs quickly. In order to quickly locate the clone hubs, an expansion calculation is generated in this paper with the improved LEACH called NI-LEACH convention which is utilized to limit the group by taking the vitality of every hub and the minimum range of clusters. In addition to this protocol, an IDS (Intrusion Detection System) calculation is designed and generated by doling out screen hubs in the remote sensor organization to identify replication assaults. Reenactment findings show that in remote sensor networks the new calculation is straightforward and powerful to implement. With a high probability proportion, a harmful centre can be reliably detected and established and ideal throughput can also be achieved all the while.The limit of the method is expanded definitely byconsuming this calculation against the clone hub assault byintruders.
Dynamic Analysis on Crypto-ransomware by using Machine Learning: GandCrab Ransomware
Authors: Usharani S , Manju Bala P , Martina Jose Mary M 
Published: January 2021

Abstract
A ransomware is a unique class of malware which has gotten extremely famous in digital crooks to corkscrew cash. It categorizes the client confines by accessing their machines (PCs, cell phones and IoT gadgets) unless the payoff is paid. Consistently, security specialists report numerous types of ransomware assaults, including ransomware families. User’s data will be collected at the time of dynamic process. The collected data will be in crypto ransomware type from that we can extract features like IP address, file length, URL. We will do dynamic analyse of the presently data with the antecedent data. Using machine learning algorithm (by combining Random Forest, Gradient Tree Boosting and Support Vector machine algorithm) we can classify the data as benign or ransomware. The achievement rate of classification using machine learning algorithm is 98.45% with false rate 0.01.The proposed achievement rate will be compared among linear regression, navie Bayes and adaboost algorithm. Gandcrab ransomware-Version, algorithm is to be identified.
Pedestrian Crossing Carriage Using Ultrasonic Sensor
Authors: Sowmiya R , Narayana sundary N 
Published: January 2021

Abstract
Automation is the most used technology nowadays for the Zebra crossing mechanism used as an automatic intelligent carriage. In several areas, intersections with crosswalks are also the maximum amount as a kilometer apart, deed pedestrians with no safe thanks to cross the road. This paper analysed the rise in pedestrian crossing traffic accidents supported for the improvement of zebra crossing facilities. Pedestrian crossing may be a very important part of foot traffic analysis which may much facilitate scale back and avoid pedestrian injuries. Moreover, inappropriate planning, a fast increase in population, urbanization, and restricted road capacities in major cities have distended this matter. The main aim is to detect the pedestrian crossing in the signal walking path and design an intelligent carriage to avoid fatal death and traffic. Using ultra sensors to detect vehicles and avoid accidents.
A Virtual Cloud based Brain Connectivity Analysis Using Iot (Internet of Things)
Authors: Sowmiya R , Padmini V 
Published: January 2021

Abstract
The confidential and secure information of the user’s death storage cannot reach to the particular person or it takes minimum a day or hours to back up all the messages and information. There is lack of time efficiency to reveal all the messages. Here introducing a new concept called BCI (Brain Computer Interface) which is used to connect the human brain and computer. Since it is a BCI technique it consists of both hardware and software. In hardware the major role plays by EEG (Electroenceplogram) sensor, it is to check whether the brain is active or not. On the software side, the cloud is created for storing the information. An individual who want to share the information to his/her favorite or particular person can type the message and save the information in the cloud with his/her mail id and phone number which an individual want to convey. The wearable sensor have to wear like a band, as it may not affect the human brain or human body since it has the low frequency range of 7Hz or below 7Hz. Once the individual is death the stored information in the cloud can sent to that registered mail id and phone number without any delay. The time efficiency is very fast.
Theft Detection for Secured Access in Android Devices
Authors: Kanimozhi P. , Adityan  , Padmapriya N. 
Published: January 2021

Abstract
The purpose of this project is to build up an android application which provides location tracking functionality for android device using SMS. Additionally, we can track the photos of a person who stole our android mobile device this task underpins android OS and makes correspondence with the telephone through SMS and E-mail. Utilizing basic SMS orders, you can follow your android gadget Location tracking: We can track the lost phone using simple SMS commands. Camera can be controlled externally in theft device to capture images. Mobile devices are said to be portable and can be carried by a person from one location to another. There is frequent theft of mobile devices and the existing system consists of monitoring the walking movement of user and patterns are analysed when there is a variation in movement then the mobile device will be locked. The proposed system is used to save another alternate number of the user. Message is sent from alternate number to theft android device and we can retrieve the GPS location.
Individual Health and Safety Monitoring of Workers in Deep Underground Mines Using IOT
Authors: Suganya R. , Gowtham S. 
Published: January 2021

Abstract
Lethal mishaps related with underground coal mineshafts require the usage of elevated level gas observing and excavators limitation ways to deal with advance underground safety and wellbeing.As per the International Labour Organization (ILO), digging represents 1% of worldwide work, however is liable for 8% of deadly mishaps. This paper presents a strategy for investigating and guaranteeing wellbeing of the labourers in mines. It is actualized by utilizing IOT (Internet Of Things) to set up remote sensor organize. Sensors are utilized for estimating air quality boundaries, for example, temperature, CH4 (Methane), CO2 (Carbon di-oxide) and CO (carbonmonoxide).This paper is principally founded on the advancement of an open source, adaptable and financially savvy stage for successfully advancing underground coal mineshaft wellbeing. This is additionally useful for tackling the issues of openness, usefulness, interoperability and adaptability related with wellbeing in coal mineshafts.
Web Based Computer Maintenance Management System
Authors: Giridharan Mr. S. , Nivedha Ms. A. , Vinothini Ms. V. , Maha Ms. V. , Kumari Mrs.M.Nivetha 
Published: January 2021

Abstract
Rational Unified Process (RUP) is utilized for system flow on how to run the system. There will be a list of detailed explanation, of the issues with the present systems. The method which uses logic for analyzing problems act by 3 steps. They are problem identification, selecting the best resolutions and implementing them. The RUP finds out different types of methods used for maintenance and how good they can be applied in computer systems. The steps of finding out and technical maintenance indicator are reviewed by it. The varieties of activity for maintenances offered in the computer systems. This proposed Computerized Maintenance Management Systems (CMMS)displays the final report and also displays the maintenance support’s list from the database that are available in the lab through the maintenance support Availability Form. Furthermore, the proposed web-based computer maintenance system aims to report and troubleshoot a computer-maintenance problem to the department management. Experimental results show that the proposed system efficiently validates the system through the unified process.
Cercospora Identification in Spinach Leaves Through Resnet-50 Based Image Processing
Authors: Ramkumar M O , Sarah Catharin S , Ramachandran V , Sakthikumar A 
Published: January 2021

Abstract
Cercospora is a contagious disease that occurs in plant leaves. Spinach is one of the healthiest food that are preferred by the people nowadays. Thus cercospora is the disease that also occurs in the spinach leaves, it also affects the humans. It causes the serious effect in both the spinach plants and also human and animals consuming it. Therefore the usage of image processing and deep learning is done in order to find out the cercospora affected plant and preventing it from the spreading from one plant to the other. To acquire the process of segmentation the plant image feed is given. This process produces an accurate result and as a outcome the cercospora spread can be controlled at the initial stage. This helps farmers to proceeds the decision faster for providing a needed treatment. In proposed system by using the convolutional neural network (CNN) and the Resnet-50 architecture, through which cercospora is identified from the different classes for the spinach leaf disease were detected and classified from the healthy leaves. The result obtained has a greater accuracy in training and testing from a few datasets and thus using this process the identification and the measures can be taken.
Comparison of Different Photonic Crystal Fiber Structure: A Review
Authors: Mohamed Nizar S. , Rafi Ahamed S. , Priyanka E. , Jayasri R. , Kesavaraman B. 
Published: January 2021

Abstract
Photonic Crystal Fiber (PCF) is the category of optical fiber; the assets of this PCF is grounded on a photonic crystal. This PCF is of two types, and they are named as solid core PCF and Hollow-core PCF. Here, in this paper a survey is proposed for different shape PCF. These different shapes PCF uses different background material like silica, Zeonex, and TOPAS. Using this different shape PCF with different background material the sensitivity and confinement loss are compared. This paper can enhance research work in the field of fiber optics.
Peak-To-Average Power Ratio Reduction in Polar Coded OFDM Signal in WiMAX Architecture
Authors: Kumar Mr. B. Vinodh , Kalaiyarasi Ms. C. 
Published: January 2021

Abstract
Peak to Average Power Ratio (PAPR) reduction technique for polar coded Orthogonal Frequency Division Multiplexing (OFDM) is introduced in WiMax Architecture was analyzed using Matlab Simulation Tool. The main idea is to use polar encoder in WiMax architecture which is one of the best encoder to choose the lowermost PAPR as a transmitted signal. This algorithm better showed efficiently reduced the peak to average power in the transmitted signal. It is suggested that the advised technique efficiently reduce the peak to average power distortion and as well as better bit error rate performance of the OFDM Signal. The simulation outputs are compared with various modulation techniques in relations to PAPR without degrading BER performance.
A Secure Communication and Location Privacy in WSN Using Grey Wolf Optimization
Authors: Padmapriya N. , Subathra S. 
Published: January 2021

Abstract
Wireless Computing draws in huge speculations, while simultaneously client necessities are ceaselessly expanded. Additionally development in remote advancements should stay up with aforementioned fields, so as to encourage the mix of imaginative administrations and applications in ordinary correspondence of the system. In the proposed framework we upgrade the security instrument for every sensor node by utilizing GWO(Grey wolf optimization) algorithm, and then the dummy sources are created to deceive the adversary and thus the original source is secured.
Feeling Recognition by Facial Expression Using Deep Learning
Authors: Gupta Dr. Shalini , Jain Dr. Shubha 
Published: January 2021

Abstract
The visible appearance of the emotion state, personality, purpose, psychological feature activity and psychopathology of an individual is the Facial expression. This plays an outgoing role in social affairs. Automatic recognition of facial expressions will be a vital part of natural human-machine interfaces. It should even be applied in activity science and in clinical apply. Fellows in nurturing automatic facial features Recognition system must perform detection and placement of faces during a disordered scene, facial feature extraction and facial features classification. Emotion recognition by facial features utilizes a Deep Learning system, which is enforced victimization Convolution Neural Network (CNN). The CNN model of the project relies on LeNet design. Kaggle facial features dataset with seven facial features labels as fear, anger, happy, surprise, sad, neutral and disgust is employed during this project. The system achieved 60.37 accuracy.
Design of Reconfigurable Tri-Band Antenna for Wireless Communication
Authors: Neeththi Aadithiya B. , Elizabeth Caroline Dr.B. , Jeyarani Dr.J. 
Published: January 2021

Abstract
The Design is a quotidian rectangular patch antenna which functions on three Different frequency bands. Tri-band antenna is an electronic device that can operate in three different frequency bands. Taking the advantage of antenna parameter modification in to account the tri-band operation is achieved. Reconfigurable antenna is capable of modifying its frequency and radiation properties in a controlled and changeable manner. The antenna is designed with the use of dielectric substrate of 1.6mm thickness with permittivity of 4.6. The design is simulated in HFSS platform. In designed antenna, configuration I engages in three different bands of frequencies 1.3 ∼ 3, 4.1 ∼ 4.7, 6.1 ∼7.6 GHz where the return loss value is around and below -10 dB. The Configuration I is designed to have an enhanced performance over a specified range of frequency (1.5 GHz to 3 GHz). But configuration II is devised to have a subsided performance over all UWB frequency ranges. The return loss of configuration II is -15 dB over 1.25 GHz to 2 GHz range and -12 dB over 4.25 GHz to 5.75 GHz range, -14 dB for 7.5 GHz to 8.5 GHz range. Switching between the frequencies is achieved using three symmetrical ideal RF MEMS switches. The Patch antenna which can be applicable to wireless communication systems like Sensing, RFID, WLAN is presented.
All Optical 3-Bit Octal to Binary Code Converter using Micro-Ring Resonator
Authors: Margarat M. , Elizabeth Caroline B. , Nivedha V. , Sowmiya S. , Purushothaman D. 
Published: January 2021

Abstract
In the developing field of optical communication, Switching based Micro-Ring Resonator (MRR) is used to design all-optical logic module. The MRR based logical module configured as OR logic gate and 3 - bit octal to binary code converter (OCB) is designed which has less computational errors and uses less digits than hexadecimal and decimal number system. It is widely used in IT application for Linux, android, operating system and Mac for computations. The proposed all optical OR gate and octal to binary code converter is designed for 10 Gbps. Optimum values of MRR length and Coupling coefficient are calculated and obtained values of Quality factor (QF) and Extinction ratio (ER) ensure reasonable performance of the proposed system.