Current Issue - Volume3, Issue 1(March 2018 - May 2018)
STATISTICAL ANALYSIS OF THINKING STYLES OF TEACHER EDUCATORS
S.V.Saji Rekha, D.Beula Shiny

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 1-14
Abstract: Thinking style is the way one acquire knowledge, organize thoughts from views and opinion apply human values to solve problems and make decisions. Teacher educators along with teaching competency and thinking style create quality teachers.
In this paper, level of thinking styles of teacher educators were analyzed with respect to their gender, marital status, habit of reading newspaper, computer literacy, qualified degree, age, teaching experience, salary and number of publications. The data was collected through statistical tools and techniques from various B.Ed colleges in Kanyakumari District, Tamil Nadu, India. Results were compared with different thinking styles and finally recommendations were given.
Keywords: Thinking style, Teacher educators, statistical technique, SATSS
S.V.Saji Rekha, D.Beula Shiny "Statistical Analysis of Thinking styles of Teacher Educators" , International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 1-4
STATISTICAL ANALYSIS OF TEACHER EFFECTIVENESS OF TEACHER EDUCATORS
S.V.Saji Rekha

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 15-21
Abstract
Teacher effectiveness is the ability of a teacher to communicate effectively with students and teachers. It includes the intra and inter-personal skills. The role of a teacher is not only mere teaching of the subject matters but also to shape and mould the students in all dimensions. Teacher effectiveness helps the teacher to complete this task easily.
In this paper, level of Teacher Effectiveness  of teacher educators were analyzed with respect to their gender, marital status, habit of reading newspaper, computer literacy, qualified degree, age, teaching experience, salary and number of publications. The data was collected through statistical tools and techniques from various B.Ed colleges in Kanyakumari District, Tamil Nadu, India. Results were compared with different teacher effectiveness  and finally recommendations were given.
Keywords: Teacher Effectiveness, Teacher educators, statistical technique        
S.V.Saji Rekha, "Statistical Analysis Of Teacher Effectiveness Of Teacher Educators", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 15-21
ACCIDENTAL PREVENTION SYSTEM USING INTEGRATED SENSORS AND FACIAL RECOGNITION FOR DETECTING ALCOHOL LEVELS AND REAL TIME COUNTER MEASURE
Ashok D, Pranav A, Shweta S.K , Junaid G. B

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 22-29
Abstract
Drunk driving is one of the major causes of road accidents today and the measures being taken to counter them still remain ineffective. This paper proposes a system which is foolproof that is used to prevent driving under the influence thereby avoiding further road accidents. The means of accomplishing this involves the use of an alcohol sensor, a heartbeat sensor, and a camera module which is used for facial recognition of the driver. Everything put together with a processor detects driver is the one being tested for sobriety and obtain the drivers alcohol levels if found intoxicated. The system should be trained with the drivers average heart beat and image data for facial recognition. The countermeasure that is taken when the driver is drunk is to prevent the vehicle from starting, sharing the coordinates of the vehicle with the help of a Global Positioning System and calling a cab to the drivers location using an Application Program Interface of any cab company.
Keywords: revention; drunk driving; facial recognition; internet of things        
Ashok D, Pranav A, Shweta S.K , Junaid GB,  "Accidental Prevention System Using Integrated Sensors and Facial Recognition For Detecting Alcohol Levels and Real Time Counter Measure", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 22-29.
DATABASE APPLICATION PROTECTION USING MD5 ALGORITHM
P.Mullai, Mahesh.KP, S.Subasree

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 30-36
Abstract
In the present generation, people are more connected to the digital life. Thereby, the importance of securing the digital data has become more vital. The field of Security, the application of Internet, the Communication and Computer Network technologies have developed rapidly. Especially the emergence of Internet has increased the usage of Computer for different applications in government, business, health Care and other areas of society resulting in a greater impact on people's economy, work and life. There are different types of hackers like the script kiddie, white hat, black hat, gray hat, green hat, red hat and blue hat, where these hackers can hack all the information and make the security under serious threat. Likewise, the database hackers can hack the database information by various attacks like the code modification attacks, SQL injections and data centric attacks. Thereby, an efficient technique implementing the MD5 algorithm is used to provide more protection to detect the anomaly and to maintain the integrity of the data in the database applications.
Keywords: Anomaly, Code modification attacks, Database, Data centric attacks, Security and SQL injections.      
P.Mullai, Mahesh.KP, S.Subasree,  "Database Application Protection Using MD5 Algorithm ", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 30-36.
ENHANCING SEASONAL SALE ON RETAIL TRANSACTIONS
P.Mullai  & Anuradha Sengupta

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 37-53
Abstract
Retail marketing is the process by which retailers promote awareness and interest of their goods and services in an effort to generate sales from their consumers during a particular season such as Winter, Summer and Monsoon. Retailers capture information on customers purchasing habits which allows them to cater to the needs of the customers. The Weka tool in Data Mining is used for transactional analysis using various classification and association rules. The classification of the dataset is done for each supermarket according to the requirement using the decision tree. The analysis of seasonal sale for retail transactions helps the retailer in mining and obtaining hidden patterns and for increasing sales on less sold items and generating more profits of super store. A comparative study of five supermarkets is then carried out to give knowledge to the retailers on the highest and the least sold items for a particular season.The retailer can then use the knowledge for gaining information about the customer preferences about items during a particular season and can also design promotional offers, discounts etc. 

Keywords: Anomaly, Code modification attacks, Database, Data centric attacks, Security and SQL injections.      
P.Mullai  & Anuradha Sengupta,  "Enhancing Seasonal Sale On Retail Transactions", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 37-53.
SITUATION REACTION DETECTION USING EYE GAZE AND PULSE ANALYSIS
M. Indumathy, Dipankar Dey, S Sambath Kumar, A P Pranav  

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 54-58
Abstract
It is said that the eyes are the mirror to the human soul whatever a human being do think or try to think is reflected in his or her eyes. The paper describes the concept of knowing more about a human being by reading their eyes. The human eyes or specifically the pupil in the eye will go to different directions based on various different situations it faces. Those different positions of the eyes are known as eye cues. This concept tried to capture these eye cues based on a situation which is given to a person and at the same time monitoring their electronics signals from the body. The results can give a person’s reactions to various situations that they are into. This reaction based analysis can also help us in detecting various psychological disorders and defects in a human being. 

Keywords: Eye, Pupil, Electronics Signals, Capture, detection, Psychological disorders.      
M. Indumathy, Dipankar Dey, S Sambath Kumar, A P Pranav ,"Situation Reaction Detection Using Eye Gaze and Pulse Analysis", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 54-57.
USE OF BEHAVIOR BASED PATTERN ANALYSIS USING KINECT SENSORS
Ashok D, Nikhil Nagarajan, Lini Varghese, KP Archith 

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 59-62
Abstract
The world’s digital imprint of each individual user has increased exponentially of which it may be fake or original. However facial recognition being the current forte, helps us to identify and recognise individuals through particular facial key points which was defined brilliantly in the iPhone X. Even then it is difficult to identify individuals with similar or exact features. There are increasing indications that this type of data will have great value in providing complementary information for user authentication. However, there have also seen a growing interest in broadening the predictive capabilities of biometric data, encompassing both easily definable characteristics such as subject age and, most recently, `higher level' characteristics such as emotional or mental states.
a human being. 

Keywords: Adaptive algorithm, dynamic profiling. 
Nikhil Nagarajan, Lini Varghese, KP Archith, A P Pranav ,"Use of Behavior Based Pattern Analysis Using Kinect Sensors", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 59 - 62.
RASPBERRY PI BASED INTRUDER ALERT SYSTEM USING IOT
S.Manohar, Kundella VenuGopal, Shubam Singh 

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 63-68
Abstract
In The World of Internet of Things (IoT) it is realized that the advances head ways are expanding at a faster pace. when we have every one of the advancements to alter our life, it's an extraordinary plan to build up a framework which can be controlled and checked from anyplace. It is realized that the burglary rates are expanding in snappy manner.So we propose a framework which persistently screens the human presence.when ever the human interruption is detected,then the camera in our framework catches the picture of the individual it at that point transmits that picture to the given primary ID. There are numerous kinds of good security frameworks and cameras out there for home security yet they are much costly so today we will manufacture a minimal effort basic Raspberry Pi based Intruder Alert System, which caution you through an email as well as sends the photo of Intruder when it recognizes any and we can control the machine in home through IOT.  

Keywords: raspberry pi,PIRsensor,webcam,python,email
S.Manohar, Kundella VenuGopal, Shubam Singh ,"Raspberry Pi Based Intruder Alert System Using IOT", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 63 - 68.
PRIVACY  ENHANCING  DNA  DATA BASE
P.Mullai, C.Kishorekumar, Anilkumar 

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 69-76
Abstract
Human DNA information are private and delicate individual data. Be that as it may, such information is basic for directing biomedical research and studies. Today, the plenteous calculation and capacity limit of cloud administrations empowers useful facilitating and sharing of DNA data bases. This paper gives another strategy that tends to a bigger arrangement of issues and gives speedier question reaction time then the system introduce. Our approaches depends on the way that, given current valuing plans at numerous cloud administrations suppliers, stockpiling is less expensive than computing .sometimes the inquiries DNA need to consider different blunders, for example, immaterial transformations, inadequate particulars and sequencing errors. our encoding of the information makes it workable for us to deal with a wealthier arrangement of questions in effective way and whatever the data about the DNA is scrambled and put away in the cloud. The calculation propelled encryption principles is exceedingly basically secured and it is viable in programming.  

Keywords: AES, JAVA SERVLET, JSP ,DNA
P.Mullai, C.kishorekumar, Anilkumar ,"Privacy  Enhancing  DNA  Data Base", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 69 - 76.
PREDICTION SYSTEM FOR GENETIC DISEASES USING GENOME MAPPING AND ITERATION OF REGULATORY MODULES
Niveditha.S, Sushmit Chakraborty, Amit Jaiswal, Vrindha Ramesh

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 77-84
Abstract
Gene Ontology (GO) has a depository of existing concept that is structured  which is associated to genes and it’s genomic products through a process which is called Annotation. There are many approaches that are unique to the analysis for getting bio-information. One of these is using Association Rules (AR). This discovers biologically matching associations among GO terms. Here, we adapt MOAL algorithm for mining cross-ontology association rules, which is to find rules that are Gene Ontology terms that are present in three sub-ontologies. We are proposing cross ontology to manipulate the Protein values from three sub ontologies for identifying the gene attacked disease. Also our proposed system, focuses on intrinsic and extrinsic. Based on cellular component, molecular function and biological process (10) values intrinsic and extrinsic calculation are made. In this article, we have used Co-Regulatory modules between miRNA (microRNA),TF(Transcription Factor) and gene on function level with multiple genomic data. We compare the regulations between miRNA-TF interaction, TF-gene interactions and gene-miRNA interaction with the help of integration technique. These interactions could be taken the genetic disease like breast cancer, etc. Iterative Multiplicative Updating Algorithm is used in our project to solve the optimization module function for the above interactions. After that interactions, we compare the regulatory modules and protein value for gene and generate Bayesian rose tree for efficiency of our result. 

Keywords: Gene Ontology (GO), MOAL algorithm, Ontologies, microRNA, gene-miRNA
Niveditha.S, Sushmit Chakraborty, Amit Jaiswal, Vrindha Ramesh ,"Prediction System For Genetic Diseases Using Genome Mapping And Iteration of Regulatory Modules ", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 77 - 84.
EFFICIENT LOAD BALANCER USING MACHINE LEARNING AND HEURISTICS
S Sridhar, Saikruth Rao, Ayush Sanghi

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 85 - 88
Abstract
Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the gains in the cloud model are achieved from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology based on machine learning algorithms and heuristic functions to allocate data center resources dynamically based on application demands and support green Computing by optimizing the number of servers in use. We introduce the concept of “Time Slot Filtering” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing time, we can combine different types of workloads and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used.  

Keywords: Load balancing, Time Slot Filtering, Virtualization, Heuristics.
S Sridhar, Saikruth Rao, Ayush Sanghi ,"Efficient Load Balancer Using Machine Learning And Heuristics", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 85 - 88..
FACIAL EXPRESSION RECOGNITION SYSTEM BASED ON CNN ALGORITHM FOR EMOTION PERCEPTION
Poonkodi M, Ronak K Jain, Pranav Krishnan Pk, Wadood Sultan Mohammed

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 89 - 96
Abstract
The facial expression recognition system has many real-time applications including the understanding of human behavior, detection of psychological disorders, and artificial human expressions. Although there is a lot of research using images, the search continues for the development of new methods that would be quiet in the calculation and have less memory usage compared to previous methodology. The ability to recognize facial expressions automatically allows new applications in human-machine interaction and other areas. As a result, there has been active research in this area, with several recent works using convolutional neural networks (CNNs) for feature extraction and inference. The proposed system has input module as an interactive webcam interface with CK+, the processing module has frame preprocessing component using datasets and neural net and the output module will determine the efficiency of the facial expression recognition system. 

Keywords: Facial Expression, Convolutional neural networks, Preprocessing
Poonkodi M, Ronak K Jain, Pranav Krishnan Pk, Wadood Sultan Mohammed ,"Facial Expression Recognition System Based On CNN Algorithm For Emotion Perception", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 89 - 96.
DEVELOPMENT OF STRUCTURE ON PERFORMANCE ANALYSIS FOR LOGISTICS AND WAREHOUSE ON SCM IN FOOD INDUSTRIES
P. Baskar, S. Sundar, S. Nallusamy 

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 97 - 109
Abstract
In present scenario, supply chain management is known as a key cause for achieving competitive advantage in any business. Specially, in food industries supply chain offering freshest products to customers remains challenge for retailers. Freshness of the food can delivered through a highly efficient food supply chain management. Performance measures and metrics will use as an organizational decision tool for strategic planning towards an improvement of organization. Most of the organisation realizes that, to evolve an efficient and effective supply chain, supply chain management needs to be assessed for its performance. Hence in this research an attempt was made to evaluate the performance of logistics and warehouse to develop a frame work in food supply chain management. 

Keywords: Food Industry, Sales, Frequency, Demand, Structure
P. Baskar, S. Sundar, S. Nallusamy,"Development Of Structure On Performance Analysis For Logistics And Warehouse On Scm In Food Industries", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 97 - 109.
YIELD ESTIMATION USING FASTER R-CNN
Vidhya Sagar, Sailesh J.Jain and Arjun P. 

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 110 - 116
Abstract
In today's world, computers exist in every domain thinkable. Improvements in computational technology has brought to life many wonderful solutions to problems that were once considered too unreal. One such fields is Computer Vision. The Human eye is "the most" delicate organ in the human body, which plays a major role in providing input to the brain. Understanding and replicating the way in which eyes work is the objective of Computer Vision. It has applications in various fields. Computer Vision applied to Agriculture sector can be a significant advantage to the farmers; it can help speed up the process of farming. In this paper, we talk about applying Object Detection to estimate the yield of tomatoes in a particular farm, using Convolutional Neural Networks. Computer vision is one of the main challenges in DeepLearning domain. Convolutional neural network currently dominate the computer vision landscape. Recently a CNN based model achieved State-of-the-art object detection These networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a bottleneck. A Region Proposal Network (RPN) shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals. An RPN is a fully convolutional network that simultan eously predicts object bounds and objectness scores at each position. The RPN is trained end-to-end to generate high-quality region proposals, which are used by Fast R-CNN for detection. Further after we merge RPN and Fast R-CNN into a single network by sharing their convolutional features-using the recently popular terminol ogy of neural networks with “attention” mechanisms, the RPN component tells the unified network where to look while achieving state-of-the-art object detection accuracy. The whole Faster-RCNN model consists of Fast-RCNN model along with RPN to detect objects andbound the objects. The model is trained using our own dataset for “Object detection for Yield estimation using Faster-RCNN”. 

Keywords: Yield estimation; machine learning technology; Deep Learning; Faster-RCNN;computervision convolutional net
Vidhya Sagar, Sailesh J.Jain and Arjun P.,"Yield Estimation using faster R-CNN", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 110 - 116.
COMPARATIVE STUDIES IN E-COMMERCE WITH ERP HAVING SPECIFIC REFERENCE TO ONLINE SHOPPING
Dr. S. Tameem Sharef, L. Parthasarathy

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 117 - 120
Abstract
An Enterprise resource preparation system is an integrated management system, which promises one data base, one application, one user interface for the entire endeavor which were once managed by desperate system ruled management, finance and sales. E-Commerce conducts clientele transaction among organisations with supports from network information, web and e-chain commerce. These integrated ERP systems of rules, still have the utilization of issues including complexity, long time to reorder investments and could not be used for small and medium size companies. With recognition of potential welfare of integrated ERP systems with e-commerce supply chain applications, the present e-commerce system administration has completely changed. However the effectuate of such approaches still did not really happen in the absolutely majority of society. An attempt is made in the present work to create a demand to introduce a new access line into the ERP systems designated for customer which is represented by incorporating and e-commerce tool into the business unconscious process of the company. During this process when integrating an electronic e-commerce solution, the ERP systems have to relay on this vendor. Various conclusions drawn from present work are listed. The major contribution of present work is to make an in depth comparative study in E-Commerce with ERP on specific reference to online shopping. 

Keywords: E-commerce, ERP, Society, Management, Online shopping
Dr. S. Tameem Sharef, L. Parthasarathy.,"Comparative Studies In E-Commerce With ERP Having Specific Reference To Online Shopping", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 170 - 120.
CLASSIFICATION AND MODELLING IMAGES USING DEEP LEARNING METHODS
Y. Pavan Kumar Reddy and Dr.K.Fayaz

International Research Journal in Global Engineering and Sciences (IRJGES), 2017, Vol.3. Issue 1. pp. 121 - 128
Abstract
Deep learning is a branch of machine learning technique, which contains multiple hidden layers in between input and output layers of neural network. There are levels of abstraction and representation in deep architecture, which allows modelling high dimensional, no-linear data such as images, audio and text. Deep learning methods are useful to solve various real world classification, regression and prediction problems.   Each hidden layers represent an abstract feature of the model trained on the network. Hidden layers are trained using de-noising auto encoder or sparse auto encoder for better representation of futures. Both supervised and unsupervised methods are used to train the network. The data set is divided into three parts: The training, the validation and test set.  The training set is used to train the methods with different hyper parameter settings. The validation set is used to compare the hyper-parameter settings in terms of predictive performance of every method. Finally accuracy of model is tested using test data set.
Keywords: E-commerce, ERP, Society, Management, Online shopping
Y. Pavan Kumar Reddy and Dr.K.Fayaz "Classification and Modelling Images Using Deep Learning Methods", International Research Journal in Global Engineering and Sciences (IRJGES), 2018, Vol.3. Issue 1. pp. 171 - 128.
ISSN : 2456-172X | Cosmos Impact Factor (Germany) : 5.195
International Research Journal in Global Engineering and Sciences (IRJGES)