Global Journal of Computer Science and Technology (GJCST)
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Texture Feature Abstraction Based on Assessment of HOG and GLDM Features for Diagnosing Brain Abnormalities in MRI Images
Recognition of vehicles has always been a desired technology for curbing the crimes done with the help of vehicles Number imprinted on plates of cars and motorbikes are consist of numerals and alphabets and these plates can be easily recognized The uniqueness of combination of characters and numbers can be easily utilized for multiple purposes For instance fines can be imposed on people automatically for wrong parking toll fee can be automatically collected just by recognizing the number plate apart from these two there may be several numbers of uses can be accommodated Computer vision is comprehended as a sub space of the computerized reasoning furthermore software engineering fields Alternate ranges most firmly identified with computer vision are picture handling picture examination and machine vision As an exploratory order computer vision is apprehensive with the counterfeit frameworks that concentrate data from pictures and recordings The picture information can take numerous structures for instance segmentations of videos taken from several cameras This thesis presents a training based approach for the recognition of vehicle number plate The whole process has been divided into three stages i e capturing the image plate localization and recognition of digits over the plate The characteristics of HOG have been utilized for training and SVM has been used for adopted for classifying while recognizing This algorithm has been checked for more than 100 picture
Employee Satisfaction of Academics in Sri Lanka: A Logistic Regression Approach
This study has mainly focused on the use of multinomial logistic regression in predicting employee satisfaction of the academics in Sri Lankan universities A questionnaire was used to gather data from acdemics and it is prepared to collect demographic data and eight main factors Demographic factors were analyzed with multinomial logistic regression and it resulted in three elements namely sector salary and gender Before examining the main factors in the questionnaire a reliability analysis was done Factors were analyzed with multinomial logistic regression and resulted in different models and the best model out of all is presented in this paper By comparing the models with R-squared values goodness-of-fit statistics and residuals the best model was obtained This study revealed thatfitting of the abilities and knowledge with the job ability to use the full potential in work superior behavior and freedom are significant factors in predicting employee satisfaction of academics in Sri Lankan universitie
iNav Indoor Positioning and Navigation System
Getting a pin-point accurate location is a difficult task and prone to many errors, thus providing a wrong location. Existing GPS Based Location service has proved to be moderately reliable, but it is not the same when considering indoor wise location. Getting an indoor location inside a building is harder than ever since due the signal barriers and narrow range. In this article a system for Indoor Positioning and Navigating with customized maps is presented. This will make the users to get to know the location very quickly and easily. It will be more applicable for the Government Departments where it is difficult to find a proper location. The RSSI of the wireless access points will be used to triangulate the location
Internet of Things(IOT) based Irrigation System With and Without Internet and Pump Set Control
Agriculture is assumed to be a fundamental job in the improvement of a farming nation. In India about 70% of population rely on cultivation and 33% of the country's capital mainly originates from cultivation. Problems concerning agricultural business have been neutralizing the improvement of the nation. The main solution for this issue is by rationalizing the current conventional techniques for agribusiness. Thus, the propound goes for making agriculture ingenious by utilizing computerization and IOT advances. For agricultural purposes, it is important that the information about field requirements, for instance, air and soil conditions, amount of underground water, wind speed and other appropriate conditions, rapid and powerfully available for use by agribusiness management systems, by experts, or the farmer itself in deciding processes. This system aims at making irrigation advanced using IOT and automation technologies. The highlighting features of this project include controlling of water pump with/without internet through GPRS/GSM and status notification of the water pump. It also detects dry run condition i.e, Usually pump set is used for ground water levels, when the pump is on and the ground water levels is very low or if the pressure of the water decreases, there are chances for motor damages which is known as dry run, and pump set theft control of water pump i.e, An obstacle sensor is placed below the soil so when the pump-set is moved the sensor automatically sends the alert message to the farmer through android app
Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor
The main purpose of this topic is to develop a dynamic model of a Diabetes solution system. Diabetes mellitus is a chronic disease caused by inherited and/or acquired deficiency in production of insulin by the pancreas or by the ineffectiveness of the insulin produced such a deficiency results in increased concentrations of glucose in the blood. Which in turn damage many of the body systems in particular the blood vessels and nerves. Diabetes mellitus, often simply referred to as diabetes, is a group of metabolic diseases in which a person has high blood sugar, either because the body does not produce enough insulin, or because cells do not respond to the insulin that is produced. This high blood sugar produces the classical symptoms of polyuria (frequent urination), polydipsia (increased thirst) and polyphonic (increased hunger).diabetes is data mining based notification systems. This system developed is main purposed the people easily treatment for accommodation. This system helps finds diabetes what type of diabetes type1, type2
A New Landscape of Energy Efficiency: A Comprehensive Study on Various Electricity Consumption Related Smartphone Applications
With the recent emergence of mobile platforms capable of executing various complex software there exists a variety of applications those provide services in the diverse field of interests A public utility is one of the most interesting and demanding fields of interest in mobile platforms In this article we present a comprehensive study of various mobile applications that provide nudging for public utility their acceptance their pros and cons and other research aspects of those applications In this article we primarily focused on electricity consumption related to various public utility mobile applications We present our findings based on mobile application s user ratings number of installations and most importantly user feedbacks in terms of comments on those application
Multi Modal Medical Image Registration: A New Data Driven Approach
Image registration is a challenging task in building computer-based diagnostic systems. One type of image modality will not be able to provide all information needed for better diagnostic. Hence data from multiple sources/image modalities should be combined. In this work canonical correlation analysis (CCA) based image registration approach has been proposed. CCA provides the framework to integrate information from multiple sources. In this work, the information contained in both images is used for image registration task. T1-weighted, T2- weighted and FLAIR MRI images has Multimodal registration done on it. The algorithm provided better results when compared with mutual information based image registration approach. The work has been carried out using the 3D rigid registration of CT and MRI images. The work is carried out using the public datasets, and later performance is evaluated with the work carried out by Research scholars previously. Our algorithm performs better with mutual information based image registration. Medical image registration of multimodality images like MRI, MRI-CT, and MRI-CT-PET. In this paper for MRI-CT Medical Image Registration CT image is used as a fixed image and MRI image as moving image and later compared results with some benchmark algorithm presented in literature such as correlation coefficient, correlation ratio, and mutual information and normalized mutual information methods
Privacy in Location based Systems
Recent advancements in technology have opened new avenues for services like the Location based services. Location based services are applications of mobile technology that utilize the information about the location of the user. It uses the Global Positioning System GPS to acquire and transmit user location. Billions of people create an unprecedented amount of data that either includes or allows the inference of highly sensitive information amidst which user location is one of them. However, this information is shared with third party without the knowledge or consent of the user. This is a violation of privacy as some users will or may not want to disclose their location to some people. This paper aims to raise awareness about privacy issues created as a result of location based services. History of location based services were discussed, information privacy and privacy issue surrounding the location based service were also discussed. Despite the myriad opportunities location based services provides, it is required to ensure security of user2019;s private data, and data protection laws be put in place to enforce this
Supplier Selection Model using Game Theoretical Approach
The purchasing function has gained importance in supplier selection of procurement. As the evaluation of the supplier depends on various non-price attributes, formulating the strategy is very important .Every supplier tries to play tactical game in order to win the contract under uncertain situations. In our paper we propose a model through case study to select best supplier using game theoretical approach by applying simplex algorithm
A Survey on Topology based Reactive Routing Protocols in Vanets
VANETS comes under the shadow of MANETS. It provides a prominent approach to the intelligent transport system. In this paper, we have explained the different number of topology-based reactive routing protocols for the smart transport system. Vanets provides many applications with its infrastructure less topology like traffic information, vehicle safety etc. Designing a new and efficient routing protocol for all the applications of vanets is very difficult so we have compared all the protocols with a detailed analysis so that we may find the best among them after that we may improve the routing process by considering the different types of parameters. At first, we will discuss about the basics of vanets and its characteristics later we will discuss the categories of routing protocols and their comparative analysis