bluuebunny/crossref_metadata_2025_split huggingface dataset:
The loss, gain, and diversity of butterfly species due to the development of PT PKWE oil palm plantation, West Kalimantan Province
Authors: Ginoga Lin Nuriah , Santosa Yanto , Mutmainnah Andi Rezki 
Published: October 2019

Abstract
An increase in oil palm plantation area of ± 9.3 million hectares within 20 years (1997 – 2006) raises concerns of the international communities on the loss of diversity, including butterflies. Butterflies have multiple ecological functions, including as pollinator and ecosystem balancer, hence research about the impact of oil palm plantation development on the loss, gain, and diversity is important to conduct. The research was conducted in March 2018 in PKWE Plantation, West Kalimantan Province, by using Pollard transect method and trap in seven land covers. The land covers consist of two original land covers before made into oil palm plantation, in the form of shrubs and secondary forest, and five land covers after made into oil palm plantation, in the form of old, medium, young oil palm plantation, High Conservation Value (NKT) area, and yard. The total butterfly species found amounted to 49 species, 315 individuals, four families: Papilionidae (8 species), Pieridae (8 species), Nymphalidae (31 species), and Lycanidae (2 species). The highest number of species and diversity were discovered in the High Conservation Value (HCV) area (S=26; Dmg=6.24), while the lowest ones were located in a yard area (S=11; Dmg=2.09). Based on conservation status, there were a butterfly species which is protected namely Troides helena. Regarding the loss and gain of butterfly species, oil palm plantation development had caused a much lower loss than gain. With the loss of five species and gain of 27 species compared to the original land cover in the form of secondary forest, and the loss of three species and gain of 26 species compared to the original land cover in the form of shrubs.
CART- A Statistical Model for Predicting QoE using Machine Learning in Smartphones
Authors: Christina Ruth , Liz Shajan Greeshma , Ankayarkanni B. 
Published: October 2019

Abstract
The proliferation of fast, cheap, and ubiquitous network access, in particular on mobile devices, has significantly changed the way user’s access online benefits on an everyday premise. Alongside the expanded accessibility of a dependably on Internet, new advancements, for example, LTE have empowered the utilization of a wide range of administrations, with stringent necessities regarding system execution and limit requests. We consider different QoE appraisal models in view of administered machine learning strategies, which are proficient to foresee the QoE experienced by the end client of well-known cell phone applications (e.g., YouTube and Face book), utilizing as info the inactive in-gadget estimations. In this extraordinary issue, we investigate the connection between the Quality of Service (QoS) that administrators screen and oversee and the Quality of Experience (QoE) that the clients really get. Utilizing a rich QoE dataset got from field trials in operational cell systems, we benchmark the execution of various machine learning based indicators, and build a choice tree based model which is able to foresee the per-client general understanding and administration worthiness with a win rate of 91% and 98% separately. To the best of our knowledge, this is the initial proposal using end-user, in-device passive measurements and machine learning models to predict the QoE of smartphone users in operational cellular networks.
A Proficient DDoS Overflow Attack Discovery and Avoidance Scheme
Authors: Jesudoss A. , Manoj Kumar H. , Sai Charan Reddy Manchala L. 
Published: October 2019

Abstract
The DDoS(distributed denial-of-service) attack happens when several clients seek the web server to a particular system which may lead to overflowing with abnormal traffic. The proxy server which measures the traffic on the server and classifies the attacks with floods. The current problem faced by web servers is that the anonymous user enters and done some malicious tasks, causes the server crashing. We provide a solution to blacklist and restrict the access. If the anonymous user tries to access the server, the mechanism will check with the backlist data and if it exists means it will block and provide a message to us by sending an alert to the server.
Design and Analysis of Wearable Antenna for Wireless Body Area Network
Authors: Karthikeyan S. , Venu Gopal Yedduri , Giri Narendra Kumar V. , Ravi T. 
Published: October 2019

Abstract
The fast development of wearable low-power devices has increased the requirement of solutions for WBAN implementation. In addition to the need, to reduce the device’s dimensions and improve power consumption, it is also important to work on developing flexible antenna’s that may be integrated into a wide variety of applications. This paper is a study of wearable antenna design for wireless body area network applications. A literature review of existing wearable antennas is studied. A wearable antenna is designed with size optimization. The antenna is designed using ANSYS High Frequency Structural Simulator (HFSS) software. The designed antenna works at operating frequency of 2.45 GHz. A rectangular patch made up of copper is used as radiating patch and the ground is also made with copper. The substrate material used is bed sheet cotton with a relative permittivity of 3.27 and the loss tangent is 0.00786. The size of the antenna is 40mm*34mm*1.26mm. The properties such as gain directivity and VSWR are studied for the designed antenna. The properties are studied using the ANSYS HFSS software.
Automated Payroll Using GPS Tracking and Image Capture
Authors: Mohan Prasad K. , Sai Nagendra Goru Rajeev , Vamsi Desu , Albert Mayan Mr.J. 
Published: October 2019

Abstract
The main theme of this paper is tracking the employee using an android device and calculating payroll for the working hours he worked. From olden days there are many methods for evaluating the attendance, for example, paper and pen method in this method either the supervisor will take the attendance or under his control, the workers used to sing with their names, but this process had many backlogs and many proxies can be generated. Later on the technology developed to great extent in the similar way the way of taking attendance also developed a lot for example in current days they are using RFID chips, biometric devices, etc. but each of the methods is having a same or different backlogs to eradicate the disadvantages and for accurate result we are introducing attendance method using GPS tracking. Now a day’s people or any organization wants their work to be completed fast without taking any time one of the examples payroll allotment so we also include a module for paying payroll according to the number of days that they worked. This project contains two phases one is the mobile phase i.e. android app for field workers for tracking their position for every 5 minutes and there is a web phase where the HR and admin will monitor the employees and for security purpose they are allotted with the employee identification number and password and in the web phase the tracking is done under the control of HR and admin.
Optimal and Suboptimal Resource Allocation Techniques by Using Virtualmigration in Cloud Computing
Authors: Prasanth Varma C. , Infant Cinty L. , Muthukumar B , Albert Mayan J 
Published: October 2019

Abstract
This paper discusses about data transmission between hot machines and warm machines. We employ a Main Cloud Server (MCS) for this purpose. MCS provides a variety of services. User have to give request to MCS and it will provide necessary service. User will be sends request to MCS for data upload and the request will be sent to CSP and that allocates job to Virtual Machines. We need to use two machines such as HOT MACHINES and WARM MACHINES. Hot machines can handle current job. Warm machines can be idle state until the job is assigned. Every machines will be having three virtual machines. The user can raise the service request CSP to access the resources found in cloud. So, the CSP provides approve or rejection is accept by CSP, then user can immediately access or download the resource from cloud server.
Analysis of KNN Algorithm with Mapreduce Technique on Big Data
Authors: Bhavana Tatikonda , Padmavathy J. , Sethuraman R. , Jeevitha J.K. 
Published: October 2019

Abstract
Due the fast growth of new technology application like social media analysis, web data analysis and medical information network analysis, here the various types of data are processed frequently. The large amount of effective data management and analysis is very vital goal. To reduce the data processing complexity, time complexity, and space complexity in Big Data, the paper going to propose the k-nearest neighbor join (KNN) operation. KNN is used to find the K nearest points in S. It is a computational task that will handle the large range of applications such as knowledge discovery or data mining. When the volume and the dimension of data increases, then only distributed approaches can perform the big operations in a given time. Recent works have done on implementing the efficient solutions using the map reduce programming model because it is used for distributing the large scale data processing. Although these works provide different solutions for the same problem, each one has particular constraints and properties. This paper compares the existing of different computation of KNN on MapReduce. First the paper compares the solutions in to three steps for KNN computation on MapReduce: 1) Data processing, 2) Data partitioning and 3) Computation. The Experiment in this paper explains the variety of different data sets, and analyzes the data volume, data dimension and the value of k from many perspectives like time and space complexity, and accuracy.
An Improved Forgery Detection Method for Images
Authors: Tom Tiss , Usha Nandini D. , Princemary S. , Ankayarkanni B. 
Published: October 2019

Abstract
A forgery image detection system is introduced to detect the forgery in images using global, local and pixel based features. Global features will consider the whole images which include luminance and chrominance features. These global features can be extracted by using Zernike moments. The local feature consists of descriptors of multiple interest points. Image authentication is done by using hash method. The set of images will be trained in the database earlier itself. Then the test image and reference image will be compared based on pixels. By analyzing the hash distance the system can identify the test image is forged or not. As an improvement, pixel based feature extraction is used. Pixel based feature extraction is carried out by using supervised classification algorithm.
Bus Ticket System for Public Transport Using QR Code
Authors: Upendra Reddy C. , Vara Prasad Reddy D.L.S. , Srinivasan N. , Albert Mayan J 
Published: October 2019

Abstract
In this paper, we are proposing QR reader for a bus ticket. Users can scan QR reader instead of the ticket. In this app, after registration profile, we have to attach our bank details to this app and add money to the wallet. Whenever we go by bus, we have to select from and to location. Then it will generate amount details for per head. Also, we can buy a ticket for extra members and produces the mean count. It Scans the QR code from the conductor of the bus with a particular ID. Then we can scan QR code. So directly money will transfer from our wallet to transport corporation on basis of conductor ID. Then we will get an SMS alert for ticket payment proof. The admin side (Transport Corporation), they calculate amount details of a particular conductor through using web application. Then they can calculate per day amount details of Transport Corporation for buses.
Sign Sequence based Gesture Recognatiton Using MEMS Accelerometer for Augumentad Reality Applications
Authors: Karthick C , Vino T , Surendra K , Rewanth kumar Reddy L R 
Published: October 2019

Abstract
The Increase in Human Machine Interactions in our daily life is getting important day by day. Physical gesture will greatly ease the interaction process and enable humans to more naturally command the machinery like computers. In this hand gestures are mostly used as the control mechanism in virtual reality. To ease these physical gestures MEMS accelerometer can be used which can recognize the several hand gestures. In the real world the physical gesture machinery control is already in existence such as vision system or data glow but these are relatively expensive. By the usage of MEMS, the cost can be reduced and method can be implemented more effectively.
This project deals with an accelerometer-based gesture recognition application. This application consists of a tri-axial accelerometer and same is connected to raspberry pi through wire. The triaxial accelerometer measures the acceleration signals generated by a users hand motions to identify the character. The code for application program in raspberry pi is written using python programming language. The text is displayed on the monitor of the PC.
Review on Fir Filter Architecture Design and its Computational Blocks
Authors: Teja Satyanarayana P. , Lakshman Kumar Reddy P. , Ravi T. , Karthikeyan S. 
Published: October 2019

Abstract
Low power VLSI circuit employed applications power consumption and high performance, the area is crucial in DSP. A filter is used in almost all electronic devices that function on signals. They are used to extract the useful part from the input signal and the required part of signal reaches the receiver. This paper is mainly focussed on the survey of different architecture design for FIR filter. The different performances such as speed, complexity, PDP, ADP, are reviewed.
Implementation of Li-Fi Technology in Classrooms
Authors: Apoorv Shubhendu , Kumar Bhowmick Sudharshan , Annadevi E. 
Published: October 2019

Abstract
In this paper the implementation of Li-Fi technology in classrooms has been investigated. It is well known that the visual information is better perceived by the brain as compared with the textual information. Using visuals to explain a concept helps student get a better perception about the topic. To ensure the best of the visual experience, there is a big need of an efficient way of communication between the devices used by students and the teacher.The traditional methods like Wi-Fi or wired connections are not much efficient due to the speed limitation and other factors. Light fidelity, also known as Li-Fi is a type of data transmission technology which uses light rays to transmit data. By implementation of this technology, high volume of data can be transmitted at extremely high speed as it gives higher bandwidth. It also ensures efficiency, security, as well as the mobility of the device. Hence, we are looking to implement this technology to enhance the learning experience of the students. Every student gets a visual input on what, when, where and how anything happens and the concepts are understood easily and thoroughly. Also, it is cheap and safe to the human body.
Design and Implementation of C III Filter for Measuring Disruption in Aditya Tokamak
Authors: Jegan Antony Marcilin L. , Nandhitha N.M. , Sam Gayathri , Gladies Jaya Chitra M. 
Published: October 2019

Abstract
The main objective of this project is to filter carbon gas among many other gases emitted from the plasma in Aditya Tokamak. The aim is to measure the disruptions released by plasma due to some unpredictable conditions. C3 filter detects carbon gases from the various gases emitted from the plasma in Aditya Tokomak. The filter is to be designed with 5-6 layers of the material chosen. Then the signal segmentation for transmittance vs. wavelength is to be achieved using MATLAB software.
To Effectively Control the Workload by Hierarchical Approach
Authors: Jany Shabu S.L. , Bhaskarreddy B. , Sreekanth A. 
Published: October 2019

Abstract
The productive administration of geologically dispersed server farms has turned into an imperative issue not just for huge organizations that claim a few destinations, yet additionally because of the rising of between Cloud foundations that permit heterogeneous server farms to coordinate. These conditions open phenomenal roads for the help of a colossal measure of workload, yet they require the meaning of novel calculations and methodology for their administration, where adaptability is a need. The intricacy determines by the span of the framework and by the requirement for achieving a few and some of the time clashing objectives, among which: stack adjusting among various destinations, anticipation of dangers, workload union, and decrease of costs, expended vitality and carbon outflows. In this paper a various leveled approach is displayed, which protects the self-rule of single server farms and in the meantime takes into consideration a coordinated administration of heterogeneous platforms. The system is deliberately nonexclusive yet can be customized to the particular prerequisites of single situations. Exhibitions are examined for a particular Cloud framework made out of four server farms.
Automatic Door Opening using Quantitative Gait Algorithm
Authors: Mathumitha S. , Arunraja A. 
Published: October 2019

Abstract
Quantitative Gait algorithm provides a system to identify a person from a distance. This project identifies three types of systems : Detection, Recognition and Control to open the Door.The initial process is extracting the forefront facial (human) images are converted into ordinary binary silhouette, it is captured from each frame in burst mode. The images are converted into values and stored in the database. In the process at real time, the facial recognition is done by comparing with the database. From the results it can also be observed that the person identified by raspberry pi camera and is done mainly for security purpose. This proposed system is more efficacious, consistently good in quality, and it utilize very less amount of data and power that is compared to the other existing systems. This project indicates that very better sensitivity, specificity and also the execution time of Quantitative Gait algorithms which is implemented in ARM processor therefore the results are obtained using MATLAB software.
Raspberry-Pi Based Secure Systems in Car
Authors: Sharmiladevi S. , Kasiselvanathan M. , Vimal S.P. 
Published: October 2019

Abstract
Automotive accidents leads to not only mortality of people but also causes financial cost to both people and society. This special issue is focused on reviewing history and background of automotive system by presenting recent developments. This paper aims at giving an overview of implementing safety and security system in car for today and future development. The key enabling technology for active safety system includes drowsiness detection and Anti pinch window’s effect. Other proposed concepts to be implemented are seat belt detection and alcohol detection. Driver’s drowsiness is monitored using technique called image processing and it is processed through MATLAB but the main constraint in this technique is that processing speed on hardware. The idea proposed in this paper is that Open CV library is used for real time facial images analysis to warn the drowsiness of driver in order to prevent traffic accidents. Anti-pinch window system helps to avoid injuries because of power window. Seat belt alert system gives an audio output to wear seat belts for safety. Finally Alcohol detection detects a drunken driver and it will send a message to the nearby police station along with the details of the vehicle and its position. The proposed system does all the above features with the help of a Raspberry-Pi, camera and few sensors in its hard ware part along with coding computations through python which has the advantage of continuous monitoring at minimal cost thereby preventing accidental injuries to a great extent.
Thermoelectric district supply concept including e-mobility
Authors: Mack A , Lackovic L , Lisin W , Blatt C , Garrecht H 
Published: October 2019

Abstract
The main objective of the environmental protection is the sustainable energy supply of residential areas. This is made possible by networking several buildings in the same district in order to produce a sustainable, efficient and self-sufficient supply of electrical and thermal energy. The second elementary topic is the conversion from combustion engines to electric mobility, i.e. from thermal to electrical energy. A novel concept of networking different storage facilities, energy producers and consumers will enable a sustainable, self-sufficient energy supply for districts. A special feature of this energy management design is networking of electrical and thermal systems with subsequent integration of electro-mobility into the districts plant system. Energy consumption and energy generation were simulated in an exemplary project of a district containing three new low-energy buildings. The results show that a self-sufficient supply of this district is possible with intelligent control of charging cycles and charging capacity and with the use of a new storage facility for electrical energy - a Compressed Air Energy Storage system. This model concept makes not only a considerable contribution to the electro-mobility conversion, but also enables an energy-efficient and sustainable electrical and thermal supply of the district.
Numerical study of reinforced concrete slabs under extreme loading conditions: Impact and fire
Authors: Ožbolt J , Ruta D , Irhan B 
Published: October 2019

Abstract
In the present paper, the influence of thermally induced damage of reinforced concrete (RC) slabs on their impact properties are numerically investigated. The RC slabs are first pre-damaged through fire load and then loaded by the impact of hammer. Transient 3D finite element (FE) thermo-mechanical analysis is performed. Subsequently, impact simulation is conducted based on the explicit multi-body dynamic analysis and contact algorithm with adaptive element deletion technique. As a constitutive law for concrete rate and temperature, dependent microplane model is employed. The co-rotational Cauchy stress tensor and Green-Lagrange strain tensor are used in the framework of total Lagrange FE formulation. The numerical results are discussed and compared with those obtained experimentally. It is shown that pre-damage of RC slab through fire reduces the impact resistance of the slabs, and that the simulation is able to realistically replicate the experimental tests.
Long-term monitoring of spillway using various NDT techniques-case studies
Authors: Hsu K-T , Cheng C-C , Chiang C-H , Ke Y-T , Cheng J-S 
Published: October 2019

Abstract
The erosion under a spillway can be a long-term issue that threatens the structural integrity of a water reservoir. The heavy rainfall associated with storms or typhoons could cause a serious flood if the spillways do not function properly. The spillway under investigation was suspected to be defective after they had been commissioned in 1987. Potholes and subsurface cavities were confirmed in the safety assessment using various NDT techniques including ground penetrating radar and impact echo. The engineering team applied the repair project that aimed to remedy the deteriorating concrete structure. The GPR inspection was able to differentiate the repaired region from the cavities under concrete slabs. The results were verified against other measurement data obtained independently. Hence, the GPR technique is effective for quality check of grouting repair of spillways. Repetitive GPR scans were also carried out after the rehabilitation of spillways. Not only the quality of repair can be evaluated, but the scans were also provided as the baseline record for long-term condition assessment of the spillway-reservoir system in the future.