bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Canny Edge Detection Technique Using S-Membership Function
Authors:   Department of Computer Science and Engineering, Y.S.R. Engineering College of Yogi Vemana University, Proddatur, India., Reddy R. Pradeep Kumar Reddy, , Nagaraju Dr. C. ,   Department of Computer Science and Engineering, Y.S.R. Engineering College of Yogi Vemana University, Proddatur, India.
Published: August 2019

Traditional Canny edge detection algorithm is sensitive to noise, hence it may lose the weak edge information after noise removal and show poor adaptability of fixed parameters like threshold values. In view of these problems, this paper reports on the modification of canny edge detection algorithm using s-membership function. Adaptability of threshold values are achieved through S-membership function and is given as input to default Canny algorithm. The grayscale images have been analyzed for default Canny and modified Canny algorithm. To understand the performance of these algorithms it is essential to evaluate various statistical metrics. The proposed work states that the detailed statistical results and the images obtained reveal the superior performance of the modified Canny algorithm over the default Canny edge detection algorithm. Further the images obtained from modified Canny algorithm shows the marked edges with efficient image edge extraction and provide accurate information for image measurement.
ANN Controller for Damping of Oscillations using Interline Power Flow Controller of AC Transmission System
Authors:   EEE, CBIT, Hyderabad, India., Reddy Ch.Venkata Krishnsa , Veni K.Krishna ,   EEE, CBIT, Hyderabad, India., Das G.Tulasi Ram ,   EEE, JNTUH, Hyderabad, India
Published: August 2019

Interline Power Flow Controller is series compensating device for series compensation of Active and reactive power with distinctive ability of power flow management between many transmission lines in power network. During disturbances in power system, the stability of system causes deviation from stable operation and causes variation in different parameters of power system like load angle and Rotor speed. To suppress oscillations in load angle and rotor speed, the Artificial Neural Network (ANN) controller with IPFC is proposed to increase the stability of power network. IPFC with ANN is considered for analysis of IEEE 14 Bus system. For different fault conditions analysis is carried out using MATLAB/Simulink.
Selection of Filter And Reduction of Ripple in The Output of Boost-Converter for Four Bus Micro Grid System
Authors:   Research Scholar, Department of EEE. Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Srinivasarao Bagam , Lalitha SVNL ,   Professor, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Sreenivasarao Yerra ,   Professor, Department of EEE, Gokula Krishna College of Engineering, sullurupet, Nellore, Andhra Pradesh, India.
Published: August 2019

Boost converter finds a way amidst RES and inverter. This work investigates selection of filter and reduction of ripple in the output of boost-converter for four bus Micro- Grid- System. The objective of the proposed micro grid system was to improve the performance of four bus Micro Grid System (FB-MGS). Simulation studies were performed with C, L-C, Pi and cascade filters and the outcome shows an enhanced -performance by employing cascade-filter for FB- MGS. The outcomes specify that MGS with cascade-filter has diminished-voltage ripple.
Anomaly Detection via Eclarans Algorithm
Authors:   Deptt. Of CSE, HRIT, Ghaziabad, India., Saraswat Shubham , Kushwaha Arvinda ,   Deptt. Of CSE, HRIT, Ghaziabad, India.
Published: August 2019

Data mining is extrication of concealed prescient information from huge dataset & furthermore an amazing latest innovation with incredible ability to break down significant data in the information warehouses. In this paper, Data mining is used to extract data from complete set of sample. Data objects which don’t agree to normal conduct or prototype of data set known as anomaly detection. We want to detect this anomaly by applying ECLARANS-DB-scan clustering. Outlier Detection in dataset has various implementations, for example, fraud recognition, modified marketing, quest for terrorism. In any case, utilization of Outlier Detection for different reasons for existing isn’t a simple undertaking. We introduce a framework for anomaly detection through ECLARANS-DB-scan clustering because this method is much efficient and easy as compared to the existing methods. We break down method to plainly recognize digital information from outliers.
Flower Identification and Classification using Computer Vision and Machine Learning Techniques
Authors:   Faculty of Computer Science and Applications, Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, India., Patel Isha , Patel Sanskruti ,   Faculty of Computer Science and Applications, Charotar University of Science and Technology (CHARUSAT), Changa, Gujarat, India.
Published: August 2019

Computer vision techniques plays an important role in extracting meaningful information from images. A process of extraction, analysis, and understanding of information from images may accomplished by an automated process using computer vision and machine learning techniques. The paper proposed a hybrid methodology using MKL – SVM with multi-label classification that is experimented on a dataset contained 25000 flower images of 102 different spices. Basic and morphology features including color, size, texture, petal type, petal count, disk flower, corona, aestivation of flower and flower class are extracted to increase the classification accuracy. Various classifiers are applied on extracted feature set and their performance are discussed. The result of MKL – SVM with multi-label classification is very promising with 76.92% as an accuracy rate. In brief, this paper attempts to explore a novel morphology for feature extraction and the applicability of symbolic representation schemes along with different classification strategies for effective multi-label classification of flower spices.
Categorization of Plant Sapling using Deep Learning
Authors:   Assistant Professor at Sri Krishna College of Engineering and Technology, Coimbatore. Tamil Nadu, India., M Kavitha , M Nithiesh Kumar M ,   is currently pursuing his Bachelor of Engineering in the stream of Computer Science at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., V Lalith Kumar ,   pursuing his Bachelor of Engineering in the stream of Computer Science at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., S Mathan ,   pursuing his Bachelor of Engineering in the stream of Computer Science at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India., M Mohankumar ,   pursuing his Bachelor of Engineering in the stream of Computer Science at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Published: August 2019

According to the latest research, the current increment of the food production will not be able to satisfy the market due to the lack of farmers, and land areas with limited resources. Weeds are grown along with the plant seedlings, The Amount of water and fertilizers needed for the plant seedlings, Crop placement, and row spacing, are being the Major problems. The usage of deep learning using digital image processing could be an efficient way to overcome these problems. Deep Learning is based on Data Representations, Artificial and Neural networks. Plant species can be recognized using RGB images especially in the problem of weed detection. The resources and the row spacing needed for the seedlings can be fulfilled by recognizing the image with the preloaded datasets of the seedling.
Image Forgery Recognition using SWT Method
Authors:   Deptt.of C.S.E., HRIT, Ghaziabad, India., Gupta* Shubhi , Kushwaha Arvinda ,   Deptt.of C.S.E, HRIT, Ghaziabad, India.
Published: August 2019

Using SWT (Stationary Wavelet Change) & SIFT (Scale Invariant Feature Transformation) we attempted to increase the number of features recognized & matched with digital image for forgery identification. Digital image received preferable match for forged area. We collected the forgery area using SIFT& SURF for identification of forgery. We used DWT (Discrete Wavelet Transform) w.r.t. SIFT & SW to subdue absence of translation invariance..
A Hybrid Energy Efficient Nano Architecture using Memristors Chaos Systems for Secure Communication
Authors:   Department of Electronics and Communication, SCSVMV University, Kancheepuram, India., C Arul. , S Om Kumar. ,   Department of Electronics and Communication SCSVMV University, Kancheepuram, India.
Published: August 2019

With an advent of IoT (Internet of Things), number of networked devices increases day by day and will reach its peak by the end of 2020. IoT plays an important role in smart automation, medical informatics, computer vision and even in wearable device engineering. Since IoT transfers the huge data from the machine to machines, achieving the compact size, low power and overcoming the security breaches remains the real challenge among the researchers. With the integration of Nanotechnology, IoT has reached its new dimension to meet the above constraints but still requires much more lime light of research. To meet the above criteria, the paper proposes the new algorithm HEENA (Hybrid Energy Efficient Nano Architecture) which uses the memristors based modelling for data encryption process. The proposed system overcomes the existing CMOS /Nano transistor-based modelling and has following contributions 1) Design of memristor based chaotic non -linear system 2) Generation of Initial conditions using ECG waveforms 3) Generation of High complex Cipher Keys using Diffusion process. The test bed has been developed using BCM2578 SoC and the proposed architecture has been evaluated on the above test bed in terms of sensitivity, and entropy Moreover, the energy consumption is calculated at various cases and results shows that the proposed architecture consumes the less power along with the secured data communication.
Classification of Gene Expression Data using Efficient Feature Selection Technique and Resampling Method
Authors:   School of Computing Science and Engineering, VIT Chennai Campus, India., Singh Rabindra Kumar , M. Dr. Sivabala Krishnan ,   School of Computing Science and Engineering, VIT Chennai Campus, India.
Published: August 2019

Microarray technology has been developed as one of the powerful tools that have attracted many researchers to analyze gene expression level for a given organism. It has been observed that gene expression data have very large (in terms of thousands) of features and less number of samples (in terms of hundreds). This characteristic makes difficult to do an analysis of gene expression data. Hence efficient feature selection technique must be applied before we go for any kind of analysis. Feature selection plays a vital role in the classification of gene expression data. There are several feature selection techniques have been induced in this field. But Support Vector Machine with Recursive Feature Elimination (SVM-RFE) has been proven as the promising feature selection methods among others. SVM-RFE ranks the genes (features) by training the SVM classification model and with the combination of RFE method key genes are selected. Huge time consumption is the main issue of SVM-RFE. We introduced an efficient implementation of linier SVM to overcome this problem and improved the RFE with variable step size. Then, combined method was used for selecting informative genes. Effective resampling method is proposed to preprocess the datasets. This is used to make the distribution of samples balanced, which gives more reliable classification results. In this paper, we have also studied the applicability of common classifiers. Detailed experiments are conducted on four commonly used microarray gene expression datasets. The results show that the proposed method comparable classification performance.
An Ultra-Compact Optical Modulator using Indium Tin Oxide Materialand Metal-Dielectric-Metal Waveguide Structure
Authors:   School of Electrical and Computer Science Engineering, Shoolini University, India., Vaidya Tanvi , Chauhan Diksha ,   School of Electrical and Computer Science Engineering, Shoolini University, India., Lee Hyoung In ,   Research Institute of Mathematics, Seoul National University, Korea., Lee Chongmu ,   Department of Material Science and Engineering, Inha University, Korea., Dwivedi Ram Prakash ,   School of Electrical and Computer Science Engineering, Shoolini University, India.
Published: August 2019

These days Ultra-compact modulators are seeking so much interest in their research area, because these are the main components of optical transmission systems and also Ultra-compact and ultra- high speed semiconductor electronic modulators are very significant for optoelectronic integrated circuits. The resonant modulators can be of very small size therefor we have proposed a compact Indium Tin Oxide (ITO) based Opto- Electronic Modulator in a Metal-Dielectric-Metal Plasmonic Waveguide Structure and utilizing resonance property in the device. The device has dimension of 0.01 μm3 and shows modulation depth approximately 9 dB near telecommunication wavelength of 1.5 μm. All the calculations had been done using Finite Element Method (FEM). We have also studied the applications of the device as a tunable filter near the telecommunication wavelength. Performance of the suggested device is quite acceptable with comparison to device size and considered valuable for photonic integrated circuit.
Minimization of Machine Idle Time and Penalty Cost in Flexible Manufacturing System Scheduling
Authors:   Associate Prof, Department of Mechanical Engineering, S R. Engineering College, Warangal, (AP) India., Kumar B. Satish , Raju G. Janardhana ,   Dean School of Engineering, Nalla Narsimha Reddy Edu. Society Group of Institutions, Hyderabad, (AP) India., Janardhana G. Ranga ,   Professor, Department of Mechanical Engg. University College of Engineering, JNTU Anantapur, (AP) India.
Published: August 2019

This paper address the application of Jaya algorithm to solve Multi objective scheduling problem in Flexible Manufacturing System(FMS) to Minimize the Combined Objective Function(COF) Value. The effectiveness of this algorithm is tested on the problem of 43 jobs processed on 16 machines taken from literature. The MATLAB code is written to find best sequence and Combined Objective Function value by implementing Jaya Algorithm. Results obtained by Jaya Algorithm are compared with different algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Shortest Processing Time (SPT), Cuckoo Search (CS) and Modified Cuckoos Search (MCS) for the problem considered. It is observed from the results that COF value for the sequence obtained by Jaya Algorithm is better than other algorithms. It is concluded that the Jaya algorithm is best suitable for solving the Scheduling problem considered in Flexible Manufacturing System.
Content Based Apparel Recommendation System for Fashion Industry
Authors:   Department of Information Technology, VNRVJIET, Hyderabad, India., Kumar Illa Pavan , Sambangi Swathi ,   Department of Information Technology, VNRVJIET, Hyderabad, India.
Published: August 2019

Present apparel e-commerce system that encourage online shopping ,has major issues to deal with catalog based online shopping. As there is a lack of customized services, the users may face difficulties to find discrimination over different types of retailers available on electronic product catalogs, they may also be confused with complex navigations that redirect to other pages based on their selection. This drawback can be overwhelmed by following suggestions on categories that they have chosen or from the products that they have already viewed. Multiple number of online marketing companies around world-wide ,has been practicing the naive method for apparel marketing website. This paper aims to simulate this recommendation system on real world data set taken from the marketing giant, Amazon’s Product Advertising API, in a policy compliant manner by following the procedure in three steps :Analyzing the data to select the pivot for the recommendation system, Data preprocessing to remove invalid sections and to implement and find appropriate choices among the techniques like Bag of Words(Bo W) and TF-IDF for better recommendations.
Word Cloud for Online Mobile Phone Tweets towards Sentiment Analysis
Authors:   Assistant Professor, Vignana Bharathi Institute of Technology(VBIT),Ghatkesar, Venkatesh Naramula , Kalaivani A. ,   Associate Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science,(SIMATS).chennai
Published: August 2019

People became more eager to express and share their opinions on web regarding day-to-day activities or global issues. Social media contributed a transparent platform to share views across the world. Recently research communities, academia, public and service industries are working rigorously on sentiment analysis also termed as opinion mining, to extract and analyze public mood and views. Data pre-processing is a crucial step in sentiment analysis and selecting an appropriate pre-processing methods can improve classification accuracy. In this paper, we explore the role text pre-processing of online mobile phone reviews towards Sentiment Analysis. Proposed text pre-processing methods remove inconsistent and redundant elements on the collected data to improve classification accuracy. Proposed Pre-processing methods involves removal of punctuations, special characters, digits, escaping HTML characters, decoding data, Apostrophe Lookup, Removal of Stop-words, Removal of URLs, Removal of Expressions. The final pre-processed online review data are presented in the form of word cloud with the frequency statistics of the keywords.
Foot Print Health Monitoring System Based On Open Cv
Authors:   UG scholar under the stream of Electronics and Communication Engineering. Saveetha School of Engineering, SIMATS, Ponnamalle, Chennai., Rathikhashree J. , Reji M. ,   Associate Professor for the department of ECE, Saveetha School of Engineering, SIMATS, Ponnamalle, Chennai.
Published: August 2019

Human footprint is considered has the latest traits that could be used to detect an individual’s identity computes parameters. The main objective is to establish the ability of image processing algorithms on a small computing platform. We designed the embedded system which reads and recognizes a person their identity. The major aim of the paper briefs the characteristics of Patient’s data, requirements and Report behind implementing a real-time base system. The person’s foot image is segmented and its key points are located. The foot is aligned and edited, cropped as per the key points and is developed and resized. These methods are used for recognizing and subdividing. Color place a major role in multiple application for footprint detection. This project is focused on lightweight technique were mainly used due to the drawback of real time based applications and Raspberry Pi capabilities.
Generation of Facial Drawings Using Generative Adversarial Networks
Authors:   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Datta* Debabrata , Dey Abhradeep ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Ghosh Adityam ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Tiwari Rishabh ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India.
Published: August 2019

Facial sketches are widely used in judicial and legal proceedings. Law enforcers use facial sketches to help them with the visual aspects of the case, using witness descriptions and video footage. However, drawing forensic sketches by hand is a time-consuming procedure and a situation may arise where the authorities have less time in hand to solve a case. The present research work aims to create a basic model which can generate facial images from a given set of input features; similar to what a forensic artist does, thus, enabling a faster and efficient sketching procedure. In this work, a category of generative algorithms, called Generative Adversarial Networks has been used to build this model. To train this model, a dataset of anime girls has been used and thus it can only generate the same, making sure that the generated image contains the input features.
Effect of HUD-HUD Wind Intensity on the Structural Behaviour of 220kv Transmission Line Tower at Visakhapatnam
Authors:   Civil Engineering, Andhra Univerisity, Visakhapatnam, Andhra Pradesh, India., Choudari* Sudheer , Rajashekar Dr.K. ,   Department Of Civil Engineering, Andhra Univerisity, Visakhapatnam, Andhra Pradesh, India.
Published: August 2019

The transmission line towers are one of the important transmission line structures in the distribution of power from the source to the various places. Transmission line towers carry heavy electrical transmission conductors at a sufficient and safe height from ground. In addition to their self-weight they have to withstand all forces of nature like strong wind and earthquake. Therefore transmission line towers should be designed considering both structural and electrical requirements for a safe and economical design. In this paper, an attempt has been made to analyse the behaviour of Transmission line tower under the influence of natural disaster hit Visakhapatnam (District) in Andhra Pradesh (State), India recently in the month of November, 2014. The 220kV tower is modeled and analysed using STADD Pro V-8i and Ansys Mechanical APDL for Maximum loading combinations considering HUD-HUD wind intensity of 275 km/hr (76m/s) and the results obtained are compared with the results obtained for regular wind intensity of 180km/hr(50m/s). Also, the velocity profiles are drawn for both the wind speeds.
Securing Information for Commercial File Sharing by Combining Raster Graphic a nd Vector Graphic Stseganographies
Authors:   Professor and Head, Computer Science Department at Inderprastha Engineering College, Ghaziabad,India, Kashyap* Rekha , Ganesh Manasvini ,   B. Tech in Computer Science Engineering from Inderprastha Engineering College, Sahibabad, affiliated with Dr. A.P.J. Abdul Kalam Technical University, Lucknow.
Published: August 2019

Commercial applications cannot declare use of steganography as its security model so as not to spoil the norm of “hidden” secret. Proposed paper suggests a model that can withhold security even after declaration of steganography’s presence allowing applicability in commercial scope. File to be secured is compressed and converted to byte stream and hidden in both raster graphic and vector graphic cover images and encapsulated in a PDF and shared. To extract the secured file from the cover images a key is required by the party intending to receive the secured file. This key is shared by Elliptic Curve Diffie Hellman Key Agreement Protocol. The intended receiver extracts the file by applying steganalysis. To implement this model an android application is developed that shares files by securing it in aforesaid fashion and transferring them via Wi-Fi Direct. Most of the digital image steganography researched are based on raster graphic cover images. The proposed model is designed so that limitations present in raster and vector steganographies each can be counterfeited to produce a secure solution that can be offered in digital image steganography. This solution is suggested as security model in commercial scope.
Finger Vein Biometric based Secure Access Control in Smart Home Automation
Authors:   Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India., Sarala R. , Yoghalakshmi E. ,   Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India., Ishwarya V. ,   Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India.
Published: August 2019

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems.
Enhancing the Health Care Data Security through Blockchain
Authors:   M.E. (II Year), Computer Engineering Department, JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune, Sharma* Neha , Joshi Dr. Ram B. ,   Head, Information Technology Department, JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune
Published: August 2019

As the Internet technology is improving, large amount of data is generated. To deal with this huge amount of data many applications try to store the data on cloud networks. So before storing the data, security of data should be taken into consideration. Many classical existing approaches have already provided ACID properties with transaction management for consistent data provision. Some multi cloud environment systems also support to provide a consistent streaming data to end users even in high network. The blockchain is an important technique that provide the security for transactional dataset. Bitcoin is the most popular example to illustrate the strategy of blockchain execution. In this research we propose healthcare data security using blockchain and fog computing. The reason behind to use fog computing during the execution is to process the large-scale data which is generated from various sources. This work is categorized into various sections such as: insurance Company, thenthe patient registration as well as hospital registration, for each patient having a unique identification number as well as hospital also. When a particular patient communicates with Hospital as well as makes any future transaction with desired Hospital, it will store all records into the blockchain. The data has been stored according to the classical blockchain miner. SHA-256 has been used for hash generation and mining algorithm applied for validating the current hash according to given policy. The consensus algorithm used to validate the proof of work as well as to validate the current blockchain into peer to peer network. The fog computing is important to reduce the time complexity when system generate the large-scale data. According to various experimental analysis the system will provide drastic security to Private data as well as provide minimum time complexity.
Content Based Retrieval of Liver Images for Computer Aided Diagnosis
Authors:   Research Scholar, Jain (Deemed to be University), Asst. Professor, Department of Telecommunication Engg., Dr. Ambedkar Institute of Technology, Bengaluru, India., H L* Mr. Aravinda , M V Dr. Sudhamani ,   Professor & HoD, Department of Information Science & Engg., RNS Institute of Technology, Bengaluru, India.
Published: August 2019

Liver cancer is a serious disease caused by a variety of factors that damage the liver region. Early detection of this disease is necessary to diagnose and to cure it completely. Enormous increase in medical database images has lead to development of Content Based Image Retrieval (CBIR) system to retrieve relevant liver images from medical database consisting of abdominal Computed Tomography (CT) images. In the proposed method Content Based Medical Image Retrieval (CBMIR) system is designed to search and retrieve relevant liver images from medical image database. Adaptive Region Growing Algorithm (ARGA) and Simple Linear Iterative Clustering (SLIC) are used for liver and tumor segmentation. Features are extracted using Gray Level Co-occurrence Matrix (GLCM), Average Correction High order Local Autocorrelation Coefficients (ACHLAC) and Legendre Moments (LM). Based on the distance metric, distances between extracted features of query image and images in the database are measured. Euclidean distance metric is used to retrieve relevant medical images.
Utilization of Infrared Warm Imaging for the Fast Analysis of Yield Illness
Authors:   Assistant Professor, Computer Science & Engineering , Institute of Engineering & Technology Chitkara University ,punjab, India,, Kumar* Abhisheh , Kumar Palvadi Srinivas ,   Research Scholar, Department of Computer Science & Engineering, Sri Satyasai University of Technology and Medical Sciences, Sehore, Madhya Pradesh., Agrawal Dr Rashmi ,   Professor , Faculty of Computer Applications Manav Rachna International Institute of Research and Studies, India.
Published: August 2019

Plants at the very small age suffer from different types of diseases in different seasons. For the better growing of plants needs a special care and attention and need necessary requirement such as water, sunlight and also some pesticides from protecting plants without affecting by any type of insects. Presently there are various testing methods for identifying and safeguarding the plants from different germs. Here we have taken tomato and wheat plants as an example for identifying mechanism. In these two plants we observed that the temperature changes effects as the change in the plant growing method and also observed that rainy season was mostly affected one compared to all for viral infections. For our experiments we have taken the time period for tomato and wheat for taking the disease affected percentage was 5 and 7 days respectively. Our experiments proved that by using the method of Infrared Thermal Imaging and MTD(Modern Tool and Die making Company) mechanisms we can identify the health and condition of the plants by making accurate application and spraying.
A New Algorithm for Controller Placement in SDN
Authors:   Computer Science and Engineering, Pondicherry Engineering College, Pondicherry, India., Ramya* G , Manoharan R ,   Computer Science and Engineering, Pondicherry Engineering College, Pondicherry, India.
Published: August 2019

SDN network supports centralized network management by splitting control plane and data plane of forwarding devices and places the network intelligence in a software entity called controller. The controller can be placed in selective places of network to effectively monitor and control network activities. Large scale network needs multiple controller to manage control activities of network. In order to identify the optimum number of controllers and its effective locations in the network, a new algorithm is proposed using cut-vertex concept from graph theory. The proposed algorithm is simulated using Mininet SDN emulator. To study the performance of the proposed algorithm, multiple scenarios were used in the simulation and performance was analysed using parameters viz., flow installation time, average latency of network, throughput.
An Extractive Summarization Technique for Text Documents
Authors:   Department of Computer Science and Engineering, NMAM Institute of Technology, Nitte, India., Dantis* Ashwitha , Fernandes Roshan ,   Department of Computer Science and Engineering, NMAM Institute of Technology, Nitte, India., Rodrigues Anisha P ,   Department of Computer Science and Engineering, NMAM Institute of Technology, Nitte, India.
Published: August 2019

In order to read as well as search information quickly, there was a need to reduce the size of the documents without any changes to its content. Therefore, in order to solve this problem, there was a solution to it by introducing a technique called as automatic text summarization which is used to generate summaries from the input document by condensing large sized input documents into smaller documents without losing its meaning as well as relevancy with respect to the original document. Text summarization stands for shortening of text into accurate, meaningful sentences. The paper shows an implementation of summarization of the original document by scoring the sentence based on term frequency and inverse document frequency matrix. The entire record was compressed so that only the relevant sentences in the document were retained. This technique can be applicable in various applications like automating text documents, quicker understanding of documents because of summarization.
Cost Effectiveness of Interlocking Concrete Block Pavements for Low Volume Traffic Roads
Authors:   Assistant Professor, Department of Civil Engineering, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior, India., Gogoi* Ripunjoy
Published: August 2019

Decision on choice of pavement type for roads is based on its service requirement, construction and maintenance costs and availability of the desired construction materials. In developing countries like India, the fund available for construction and maintenance is always limited and thus has a huge influence on such infrastructure projects. Traditionally, asphalt and concrete pavements are used in road construction. Interlocking concrete block pavement (ICBP) has been in use for some time now as an alternative pavement type. One of the advantages of such pavement in comparison to asphalt and concrete pavements is its easy availability, sophisticated design and construction methods. Past studies have shown that the interlocking pavements are economical. But it may not be every time. In this context, the present study has been undertaken to investigate the same. As a case study, the Ram Krishna Mission (RKM) road of Guwahati, a semi urban city of North East India is considered. To estimate the total life cycle cost, a basic mathematical equation has been formulated in the present work. The advantage of the mathematical formulation is that it can incorporate multiple cycles of pavement construction and maintenance costs. Also, one more advantage of the present equation is that it can consider analysis period any size. The present study uses an analysis period of 30 years. To incorporate the change of price value and inflation, a discount rate and inflation rate has been introduced in the formulation. The results of the current analysis show that interlocking pavements are costlier than asphalt pavements contrary to the findings of the past researchers. A sensitivity analysis is done to find whether the conclusion might vary with different discount rates. However, it was found that ICBP is not economical.
Lip Biometrics: An Enhanced Method for Key Generation
Authors:   Research scholar, Saveetha Institute of Medical And Technical Sciences (SIMATS), Pavithra* S. , Muthukannan Dr. P. ,   Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences
Published: August 2019

Authentication is the key factor of badging the right person for access which enhances the security system in wireless communication. In this paper, an efficient way of authenticating a person is achieved by selecting a novel biometric feature as ―Lip. Series of image processing procedures are done to enhance the image features and also to fix the boundary values for corresponding pixels. A new filer termed as ―Weighted Triangular Filter (WTF) is formulated to enhance the image features. Finally an 8 bit key is generated in lieu of biometric feature which is then used for encryption in wireless mode.
Smart Charger Based on IoT Concept
Authors: Muhamad Hilmi bin Husin
Published: August 2019

This research develops Adruino based smart charging controlling. The aim is to develop a charging that can be controlled by setting the charger in a specific time. Therefore, the problem of overcharging will be anticipated. This research using the AA type of rechargeable battery, Nickel-Metal Hydride (NiMH). C++ is being used for the Arduino. Arduino was choosen for this research because the Arduno boards are able to read inputs – light on a sensor or finger on a button – and turn it into an output by activating a montor, turning on an LED, publishing something online. The result of this research is it has successfully in creating the smart charger that can ensure the safety of the battery by controlling the amount of time in charging process. The charging will be stopped if the time has reached the limit or if the temperature is high. Indeed, the research will inform the user whether the battery has been full charge or not.
Zakat and Wakaf (Endowments) Role in Muslims Economic Development of Islamic Economic Perspective
Authors: Urif Usman Zainuddin , Fajria Mahillatul Iffa Nuril , Rahmi Ulfatu
Published: August 2019

This research aims to determine and comprehen about zakat and waqf role in the economic development of the Muslims (Ummah) in Islamic economic perspective. Research types is library research. Research approach using combination of a philosophical and phenomenological approach. A philosophical approach is used to look deeply at philosophical material objects such as values, principles, Islamic economic goals and zakat and wakaf role in Muslims (ummah) economic development. While the phenomenological approach is used to look at the economic development that is reflected in society through statistical data about poverty, as well as those contained in a literature work such as books, documents, scientific works and research. Study result: Islamic economic system aims is to improve society welfare and to realize maqasid as sharia, and uphold justice value, therefore  the important base of zakat and waqf distribution is Allah guidance in Qur’an Surah (chapter) [59]: 7 .... " so that the wealth should not circulate among the rich people among you... "from these foundation spawned a great concept of zakat and waqf role in economic development. Zakat and waqf are economic development instruments. Empowerment and management of coordinatively between government and society make a positive contribution in Muslims economic development.
Seberapa Sustainable-kah Kita? Menilik Perumahan Lapak Pemulung di Jurangmangu, Bintaro
Authors: Permanasari Eka , L. Lukman Aldyfra , Moezier Aninda , . Sahid , Safitri Ratna
Published: August 2019

Pembangunan berbasis lingkungan yang berkelanjutan dapat menyelamatkan bumi ini. Isu perubahaniklim telah menjadi permasalah dunia yang tidak dapat dihindari. Penelitian ini mengangkat isumengenai para pemulung dan cara hidup mereka dalam peranannya melestarikan lingkunganberdasarkan analisis dari kegiatan dan tempat tinggal mereka. Permasalahannya adalah, di satu sisipara pemulung ini seringkali dikonotasikan secara negatif. Mereka seringkali diasosiasikan sebagaipencuri dan pemukiman mereka disalahkan sebagai tempat berkembang biaknya sumber penyakityang menular seperti demam berdarah dan diare. Terlebih lagi, pemukiman mereka dipandang dapatmerusak ketertiban dari sebuah kota yang baik. Di sisi lain, tanpa adanya sistem daur-ulang yangkomprehensif dari pihak pemerintahan kota, pekerjaan para pemulung ini bisa dilihat sebagai suatukebutuhan.Dengan kegiatan mereka mengumpulkan dan menjual material yang dapat didaur-ulang,hal ini menciptakan lapangan kerja untuk mengurangi pengangguran dan juga melestarikan alam.Pertanyaanya adalah, seberapa besar pengaruh dari para pemulung ini dalam melestarikan alamdengan keberadaan mereka yang dipandang sebagai sebuah masalah? Penelitian ini menganalisisperan para pemulung dalam melestarikan alam diluar eksistensi mereka yang dipandang secaradilematis. Objek dari studi ini yaitu di area sekitar Bintaro, Tangerang Selatan. Metode yang digunakanadalah observasi, review literature, dan wawancara. Tujuan dari makalah ini adalah meningkatkankesadaran akan pelestarian lingkungan.
Survei Tingkat Kepuasan Kerja Karyawan PT X Melalui Alat Ukur Job Satisfaction Scale
Authors: Z.C. Mashareen , S Supriyanto , Ivanti Adriantik
Published: August 2019

Kepuasan kerja merupakan faktor penting yang dapat meningkatkan kinerja karyawan dan dapat menurunkan tingkat turnover pada sebuah organisasi. Penelitian ini ditujukan untuk menggambarkan tingkat kepuasan kerja karyawan di PT. X melalui metode survey dengan menggunakan Job Satisfaction Scale. Alat ukur Job Satisfaction Scale ini dikembangkan oleh peneliti berdasarkan kebutuhan dari PT. X Kuesioner ini juga memungkinkan subjek untuk mengisi jawaban dengan cepat dan mudah. Subjek yang digunakan dalam penelitian ini adalah 40 orang karyawan PT.X. Hasil penelitian ini menunjukkan bahwa 40% karyawan PT.X memiliki tingkat kepuasan kerja sedang, dan 37.5% karyawan PT. X memiliki tingkat kepuasan kerja rendah. Selain itu, survey ini juga menemukan bahwa karyawan laki-laki yang berusia di atas 40 tahun cenderung memiliki tingkat kepuasan kerja tinggi. Sementara itu, karyawan dengan masa kerja lebih dari 1 tahun serta karyawan yang lulus dari SMA dan pendidikan tinggi (Sarjana, Diploma) cenderung memiliki tingkat kepuasan kerja yang tinggi.Kata Kunci: kepuasan kerja, job satisfaction scale, sumber daya manusia
Pengaruh Store Environment Terhadap Customer Evaluation Serta Dampaknya Pada Customer Response Di Toko Ritel
Authors: Halim Pranata , Brata Dion Dewa
Published: August 2019

Industri retail di Indonesia akan berkembang secara signifikan pada tahun 2013 - 2018. Toko retail akan bersaing untuk menawarkan pengalaman belanja yang unik dan produk eksklusif dengan menggunakan strategi toko sebagai merek dalam rangka menciptakan hubungan yang baik dengan pelanggan. Penelitian ini bertujuan untuk menganalisis pengaruh Store environment terhadap customer evaluation, serta dampaknya terhadap customer response di ritel. Data yang digunakan dalam penelitian ini adalah 338 pelanggan ritel berusia 18, berusia 35 tahun dan dianalisis dengan structural equation modelling. Hasil penelitian menunjukkan bahwa ocial, design, ambient, dan merchandise cues memiliki pengaruh yang signifikan terhadap evaluasi kognitif di toko dan produk, sementara evaluasi kognitif di toko dan produk, serta evaluasi kognitif di toko memiliki pengaruh yang signifikan terhadap evaluasi afektif di toko dan produk, evaluasi afektif di toko memiliki pengaruh yang signifikan terhadap approach â€“ avoidance behavior. Adapun perbandingan, hubungan antara evaluasi afektif pada produk tidak memiliki pengaruh yang signifikan terhadap evaluasi afektif.Kata Kunci : Retail, Store, Environment, Customer, Evaluation, Response
Pengaruh Earning Per Share Terhadap Return On Asset Serta Dampaknya Terhadap Harga Saham PT. Elnusa Tbk
Authors: Pitaloka Endang , Joana Sydney
Published: August 2019

Penelitian ini bertujuan untuk mengkaji pengaruh tidak langsung dari Earning per Share (EPS) terhadap Harga Saham (SP) melalui Return on Asset (ROA) pada perusahaan minyak mentah dan gas alam PT Elnusa Tbk. Penelitian ini menggunakan data sekunder berupa laporan keuangan bulanan periode Januari 2012 hingga Desember 2014. Total data yang digunakan sebanyak 36 sampel. Teknik analisa data yang digunakan adalah analisa jalur (path analysis). Hasil penelitian menunjukan bahwa variabel Earning per Share berpengaruh secara signifikan terhadap variabel Return on Asset dan variabel Return on Asset berpengaruh secara signifikan terhadap Harga Saham. Hasil tersebut mebuktikan bahwa variabel Return on Asset adalah variabel intervening dari variabel Earning per Share dengan variabel Harga Saham. Dapat disimpulkan bahwa pada PT. Elnusa Tbk, Earning per Share (EPS) berpengaruh terhadap Harga Saham (SP) melalui Return on Asset (ROA).Kata kunci : Earning Per Share (EPS), Return on Asset (ROA), Harga Saham (SP)
Intervensi Kelompok pada Remaja Korban Kekerasan dalam Hubungan Pacaran yang Mengalami Reaksi Stres Pascatrauma
Authors: Dewi Wiwit
Published: August 2019

Abstrak - Kekerasan dalam hubungan pacaran pada remaja berdampak buruk bagi kondisi fisik maupun kesehatan mental. Korban kekerasan biasanya mengalami penurunan self-esteem, depresi, kecemasan, diliputi rasa takut dan marah, gejala somatis, hingga posttraumatic stress disorder (PTSD). Korban yang mengalami reaksi pascatrauma berpotensi mengalami PTSD sehingga perlu diberikan penanganan segera. Penelitian ini bertujuan mengukur efektivitas intervensi kelompok pada remaja yang mengalami stress pascatrauma akibat kekerasan pada masa pacaran dengan menggunakan Recovery Technique Manual oleh Smith, Dyregov, dan Yule (1999). Desain penelitian ini menggunakan one group pretest-posttest dengan dua partisipan remaja yang diperoleh dengan teknik purposive sampling. Intervensi dilaksanakan dalam lima pertemuan dan pengukuran efektivitas intervensi dilakukan dengan membandingkan skor Children’s Impact of Event Scale – 13 (CRIES-13) di awal dan akhir intervensi, melalui wawancara, dan observasi. Hasil penelitian menunjukkan penurunan gejala intrusion, avoidance, dan arousal pada skor CRIES-13 di kedua partisipan. Berdasarkan wawancara diketahui bahwa teknik yang diajarkan membantu mengatasi emosi negatif sehingga merasa lebih tenang. Partisipan juga merasakan perubahan positif pada diri mereka yang juga disadari oleh teman-teman di sekitarnya. Intervensi kelompok juga membuat partisipan menyadari bahwa mereka tidak sendirian. Kesimpulannya intervensi kelompok dengan menggunakan Recovery Technique Modul terbukti efektif mengatasi reaksi stress pascatrauma pada remaja yang mengalami kekerasan dalam hubungan pacaran.Kata kunci : Kekerasan dalam hubungan pacaran, reaksi stres pascatrauma, remaja, intervensi kelompok, Recovery Technique Manual
Penilaian Kriteria Green Building Pada Bangunan Gedung Universitas Pembangunan Jaya Berdasarkan Indikasi Green Building Council Indonesia
Authors: Roshaunda Diza , Diana Lala , Caroline Lonny Princhika , Khalisha Shafira , Nugraha Ryan Septiady
Published: August 2019

Pemanasan global terus terjadi dikarenakan aktivitas dan kebutuhan manusia yang terus bertambah. Hal tersebut tentu saja akan berdampak bagi manusia karena pemanasan global akan sangat merugikan. Pemanasan global yang dibahas kali ini disebabkan oleh kegiatan pembangunan. Tentunya masalah ini sangat mengkhawatirkan karena pembangunan di Indonesia saat ini sedang marak dilakukan. Dengan itu, diperlukan pengetahuan dan pemahaman bagi pelaku kontruksi. Solusi yang disarankan untuk mengatasi masalah tersebut adalah dengan mengembangkan konsep Green Building. Konsep Green Building merupakan konsep yang bagus untuk diterapkan karena dapat banyak membantu mengurangi dampak dari pemanasan global. Penelitian ini kami lakukan untuk mengukur apakah Universitas Pembangunan Jaya (UPJ) sudah memenuhi kriteria Green Building atau belum. Pengukuran dalam penelitian ini diukur berdasarkan standart Greenship-GBCI dengan melakukan pengamatan langsung dan wawancara verifikasi. Berdasarkan data yang terkumpul dan perhitungan yang telah dilakukan pada gedung UPJ terhadap 41 kriteria Greenship, gedung memperoleh total poin sebesar 23 poin dari 117 poin maksimal. Dengan demikian, dapat disimpulkan bahwa gedung kampus Universitas Pembangunan Jaya (UPJ) tidak memenuhi kriteria sebagai bangunan Green Buildinh berdasarkan Greenship-GBCI.Kata Kunci: Bangunan Hijau, Greenship-GBCI, Gedung Kampus Universitas Pembangunan Jaya (UPJ).