Journal of Operating Systems Development & Trends
Journal of Operating Systems Development & Trends (JoOSDT) ISSN: 2454-9355 Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 5.306 Journal of Operating Systems Development & Trends (JoOSDT) is a journal focused towards the rapid publication of fundamental research papers on Operating Systems Development & Trends. It's a triannual journal, started in 2014. Journal DOI no.: 10.37591/ JoOSDT Focus and Scope Cover Implementation of Multi programmed OS Architecture of OS Multiprocessor, Multimedia and Real time OS Models of Thread Implementations Tradition and Real - Time Signals Clocks, Timers and Callouts Inter process/ Interthread Synchronization and Communication File Organization, File System Interface and Virtual File Systems Graphical User Interface (GUI) Linear Block Addressing (LBA) Readership: Graduate, Postgraduate, Research Scholar, Faculties, Institutions, and in IT Companies. Indexing: The Journal is index in DRJI, Google Scholar Submission of Paper: All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration. Papers are accepted for editorial consideration through email info@stmjournals.com or nikita@stmjournals.com Abbreviation: JoOSDT Frequency: Three issues per year Peer Reviewed Policy Editorial Board Instructions to Authors Publisher: STM Journals A division of: Consortium eLearning Network Private Ltd Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India Phone no.: 0120-478-1240/ Email: deeksha.sharma@celnet.in, meenakshi@celnet.in
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Microsoft Kinect Sensor Technology and its Methods
Kinect is a technology that is capable of motion tracking and sensing. Kinect plays a unique role in the study of identification. Its unique properties of being able to identify the objects are performed with a sensor. Kinect Sensors track objects based on the color and data. Kinect sensors have been developed overtime for tracking various actions and postures. Improvisations are inhibited within the technology based on identity, digitization, alpha channels, depth of color and sensors in Autism research. Major concepts in Kinect and their enhancements are surveyed in this paper. Keywords: Kinect, sensor, tracking, color data, depth data
An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic attributes/features in order to identify among other things the sentiment polarity (e.g., positive, negative, and neutral). The authors investigated supervised learning by incorporating linguistic rules and constraints that could improve the performance of calculations and classifications. Keywords: Opinions, sentiment analysis, machine learning
Spatial data mining becomes more attractive and significant as more spatial data is built up in spatial databases. Many GIS applications are using spatial patterns that are equal to association rules of a business data mining, i.e., online transaction processing (OLTP). Mining the spatial collocation patterns is a significant spatial data mining job with broad applications. Organizations having large data sets of spatial data need to do certain operations that incorporate methods of analyses and summarization which very much crucial; retailers are finding items frequently bought together to make plan catalogs, store arrangements, and promote products together by using Association rule finding in data mining technique; decision-support systems for getting improved information like transformations and trends that occur in the spatial zones. Particularly, the interpretation on the demonstration of collocation (co-location) pattern and its size change using semantically supported elements is more important to archaeologists, GIS scientists, governments, etc., for analyzing the changing trends in civilization. Many spatial datasets contain occurrence of a collection of Boolean spatial features. Spatial association statistics measure the concentration of an attribute over a space. Keywords: Spatial data mining, temporal mining, spatial knowledge, collocation, geographic information system
A Novel Group Key Transfer Protocol based on Secret Sharing
Key transfer protocols use the key generation center for generation and transfer of all the session keys to the users. A key generation center generates a private key for each of the group members. In this paper, the authors discuss an improved authenticated group key transfer protocol based on secret sharing that depends on a key generation center (KGC) [1]. The secret sharing scheme is based on the Chinese Remainder Theorem. The KGC broadcasts the group key information to all the group members. The authorized users can recover the group key whereas the unauthorized cannot. This protocol assures both confidentiality and authentication. These are analyzed in detail further. Keywords: Group key transfer protocol, group key, session key, secret sharing schemes, confidentiality
An Interactive Jogging Application For Android OS
In the last few years Android phones have become a huge part of our lives. Earlier we used to have cell phones just to make calls or send messages but Android and its applications have given a whole new definition to a cell phone. Android applications are fun to operate and many of them are quite useful in day-to-day life, but their usability still isn’t as evolved as we would like. This application is basically a fitness application which will measure the distance travelled, average speed, total calories burnt, etc. like any other application. In addition to these features progress bar, target graph and milestones are there to give the user all kinds of useful data about your work out and keep you motivated to achieve greater levels of fitness through. With dedicated lock screen display, toggle support, and night and day mode for better usability and battery conservation the interface is very user friendly and thus easy and efficient to work with. We try to give both positive and negative feedback when the user is doing well or bad respectively. In order to implement this we try to motivate the user by using various features like noise distortion while he is running slowly. The objective is to help ensure that the user is self-motivated enough to lead a healthy lifestyle. Keywords: Android application, fitness, usability
Speeding up Simultaneous Scalar Multiplication on Elliptic Curves
Scalar multiplication is the basic and most expensive operation in elliptic curve based cryptographic protocols. It is the computation of integer multiple of a given point on the curve. Computation of scalar multiple is faster by using signed binary representation as compared to binary representation. Direct- recoding is a new and efficient algorithm for computation of signed binary representation as compared to the existing methods like NAF, MOF and complementary recoding. In this paper, we propose a novel method for speeding up simultaneous scalar multiplication using direct recoding method. Keywords: Elliptic curve cryptography, simultaneous scalar multiplication, signed binary method, NAF, MOF, complementary recoding, JSF MSC: 94A60
A Survey on Various Image De-noising Methods
Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, reconstructs piecewise smooth images and typically removes textures that are important for visual realism. One of the most challenging problems in image de-noising is how to preserve the fine scale texture structures while removing noise. Various natural image priors, such as gradient based prior, nonlocal self-similarity prior, and sparsity prior, have been extensively exploited for noise removal. The de-noising algorithms based on these priors, however, tend to smooth the detailed image textures, degrading the image visual quality. To address this problem, we propose a texture enhanced image de-noising (TEID) method by enforcing the gradient distribution of the de-noised image to be close to the estimated gradient distribution of the original image. Another method is an alternative de-convolution method called iterative distribution reweighting (IDR) which imposes a global constraint on gradients so that are constructed image should have a gradient distribution similar to a reference distribution. Keywords: types of noise, image de-noising, image deblurring, comparison, proposed algorithm
This paper presents a stereo image processing techniques for the detection of a depth information from images. Inspite of a remarkable growth in the last few years, the availability of 3D content is still diminutive by that of its 2D portion. To solve this problem, many 2D-to-3D image methods have been proposed. Here, a stereo image processing technique is actually a 3D modeling technique. We analyse two types of methods. The first is animation which represents a motion of an image. This animated output image gives a detail information of an image. For a detail like surface texture and a colour to extract from computer generated graphic model or 3D model, there is a third technique called as texture mapping. The third method is volume rendering volume rendering is a set of techniques used to display a 2D projection of a 3D discretely sampled data set typically a 3D scalar field. Keywords: depth information, 3D image, 3D modeling, stereo image, texture
Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more challenging. In this paper, the various techniques available for detecting and recognizing text are explained. Finally, a hybrid approach using segmentation is explained which can improve the qualitative texture analysis among other techniques. Keywords: Text detection, text localization, text recognition
Shell Implementation of Neural Net Over The UNIX Environment for File Management: A Step towards Automated Operating System
IT administrators goes through darn process of installing and managing operating systems (OS) with several patches on multiple servers by scripting which is achieved mostly for the deployment operations. Automating OS process like installation activities, configuration of hardware-settings, Indexing files, Sorting and managing other deliverables is what we present in this study with the help of scripting a neural net. Keywords: Automated Operating System, Shell Scripting, Neural Net
An Image Processing Algorithm for Varietal Classification of Sapota Fruits
In several cases, fruits of different varieties are often mixed into the same bulk and reach the market/processing unit. In such scenarios, variations in product properties due to varietal variations result in inconsistent product end-product quality. This is of important concern in case of sapota; particularly between Cricket ball and P[ala varieties, the most dominant varieties grown in India. Hence, in the present study, a machine vision system consisting of a camera, illumination source, camera holding unit, sample platform, and computer was used to quickly differentiate between Cricket ball and Pala varieties of sapota fruit. The sphericity of the sample was used as the classification parameter. The developed image processing methodology gave an overall classification efficiency of around 95%. Keywords: Machine vision, Image processing, Sphericity, Classification efficiency
A Novel Blind Restoration Technique Using Different Edge Detection Methods
Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing effect can be detected using different edge detection methods then it can be removed before restoration process. After that blind deconvolution algorithm is applied to get the reconstructed image. We used peak signal to noise ratio (PSNR) value for the comparison of different deblurred images. The higher the PSNR value, the better the image. Generally it is believed that blind deconvolution algorithm gives better result when there is no information about the distortion. It restores the image and point-speard function (PSF) at the same time. Keywords: Blind deconvolution algorithm, edge detection methods, image restoration, PSF
Sentiment Analysis Using Hybrid Feature Extraction for Hotel Reviews
Interpersonal interaction destinations have become well known and normal spots for sharing wide scope of feelings through short messages. These feelings incorporate satisfaction, pity, tension, dread, and so forth. Breaking down short messages helps in recognizing the conclusion communicated by the group. Feeling analysis on hotel audits recognizes the generally speaking sentimentor assessment communicated by a commentator towards an inn. Numerous specialists are dealing with pruning the notion investigation model that obviously recognizes a positive audit and a negative survey. In the proposed work, we show that the utilization of hybrid highlights acquired by linking Machine Learning highlights (TF-IDF) with Lexicon highlights (TextBlob) gives better outcomes both as far as exactness and intricacyare concerned.The proposed model unmistakably separates between a positive audit and negative survey. Since understanding the setting of the surveys assumes a significant part in grouping, utilizing hybrid highlights, helps in catching the setting of the hotel audits and thus expands the precision of order.
Classroom Education using Augmented Reality
Abstract The primary objective is to boost existing education system by introducing the construction of improvement of reality through sensible mobile phones. With this technology, students and teachers each can get benefited. Moreover, teachers will choose their subject topics and present them in 3D Models,and neatly illustrate to their students. Even, students can well understand the topics explained with the assistance of 3D Models. AR permits flexibility in use that is enticing to education. AR technology is often utilised through a mediums for theas desktops, mobile devices, and smartphones. The technology is transportable and flexible for anysituations.
Task Scheduling with Cron Job using Cloud Brain
Most people have fear in their mind to share their secrets, specifically banking details with others but they have to share it with someone, because that will help in the situations like that person affected by memory loss or may death happen, these details also get buried. In this situation, his/her family members know the details to access the bank but the bank requires various certificates and proof. This will take too much time, but when using the cron jobs, these all processes can be done easily. Because all the details are already fed inside the program in cron. The purpose of a cron job is to make everything in schedule-based work and also automatic, cron is the word that comes from Greek which means time. So, the person wants to do a simple thing, use cron job by creating ASCII text cron file, and edit it by text editor and then run; it will do the given work at particular intervals regularly. Now in bank, the person can add alternative user details to the primary user account and also add cron time to the server-side, that's it; all these problems will be over
Mood based Music Player using Fisher Face
This document is an overview of the project completed by our group,‘Emotion Based Music Player’, in which the user can play a music based on his/her emotion detected by the system. Once the user face is detected, automatically the song gets played. Likewise, the framework hails the inquiry and sifting of melodies according to the state of mind recognized utilizing a portion of the python libraries.The system is based on real time environment. Thus, it yields better accuracy in terms of performance and reduces the time taken.
In this developing world of technology, there are so many things going on at the same time. Humans are progressing in so many fields at the time for the betterment of human race. An innovation that holds its place among these is Augmented Reality (AR). AR refers to displaying virtual objects into the real world. This research work presents the features and functionalities of AR based shooting games which require precise “aiming” and “timing” to shoot its target down in order to survive. It is not like everyday survival game as it is based on the augmented reality. The proposed system created using AR Foundation is for both iOS and Android.
Performance Analysis of Junctionless SONOS Memory
Abstract This paper presents the performance analysis of the JL SONOS device electrical characteristics of the two different types of device i.e., one built on BULK substrate and other over the SOI substrate. The difference in the properties and its related impact on the device performance will be discussed through physical interpretations and mathematical equations. Simulation of both devices is done by taking same device dimension and parameter to check the program and erase characteristics and compared on the basis of improved memory characteristics. In the memory device, variation occur in the characteristics of device, have been discussed. To achieve the required memory performance bulk doping is used as tunning parameter. The erasing efficiency of the JL bulk SONOS memory cell is better and JL SOI SONOS memory cell exhibits larger memory window within a specified program time.
Silicon-Oxide-Nitride-Oxide-Silicon (SONOS)
IOT Big Data Techniques for Smart Home: A Study for Applicable in Small City at India
Abstract Internet of Things is the connections of embedded technologies that contained physical objects and is used to communicate and intellect or interact with the inner states or the external surroundings, rather than people to people communication, IoT emphasis on machine to machine communication. This paper represents Big Data deployment in smart homes as it was limited for its applicability in IT industry. The proposed architecture can be applied to different smart cities applications. Authors describe multiple objectives of smart cities based on big data analysis. This approach is to find the possible applicability of Internet of Things techniques to provide better way towards building smart cities, such as the management of the energy consumption.
IOT-based Line of Control Monitoring System
Abstract Indian Security Border areas are normally considered as places where great deal of violence and intervention happens between several persons. This often caused the danger for the life of employees, soldiers and common people working and living in border areas. It is not possible for our soldiers to watch the borders at each and every moment. In this paper, we have proposed “automated monitoring system” as the solution of the problem for effective monitoring of line of control (LOC). The automatic monitoring system can immensely improve the surveillance of border areas and it will help to control illegal movements at the LOC. This paper introduces a model with useful and protective systems such as PIR sensors, ultrasonic systems, thermal infrared cameras, GPS, and touch sensors. This paper proposes an efficient IOT (Internet of Things) based model for monitoring and controlling for line of control system. The proposed system is completely bullet proof and water proof. The software-based monitoring system will provide an efficient solution for monitoring large border areas of India.
IOT-based Solar Tracking System for Efficient Power Generation
Abstract In remote areas the sun is a cheap source of electricity because instead of hydraulic generators it uses solar cells to produce electricity. But the output of solar cells depends on the intensity of sunlight and the angle of incidence. It means to get maximum efficiency; the solar panels must remain in front of the sun during the whole day. But due to the rotation of the earth, those panels can’t maintain their position always in front of the sun. This problem results in a decrease of their efficiency. So, to get a constant output, an automated system is to be required which should be capable to constantly rotate the solar panel. Automatic sun tracking system with photovoltaic plate to improve the efficiency of solar power generation was helpful to solve the problem, mentioned above. It is completely automatic and keeps the panel in front of the sun until that is visible. The unique feature of this system is that instead of taking the earth as its reference, it takes the sun as a guiding source. Its active sensors constantly monitor the sunlight and rotate the panel towards the direction where the intensity of sunlight is at maximum with the help of DC motor
Soil Analysis Technique: NPK Detection using IOT
Abstract The growth and maintenance of the crops is a very important task in the agricultural domain. There are a lot of ways in which we can make sure that the crops are properly grown and the soil quality is high, we can use good quality seeds, we can regularly grow different crops to ensure the balanced nutrients in the soil, also irrigation and fertilization are great methods to do so. But the current soil testing systems in the agricultural sectors are not easily accessible by the farmers, and those which are accessible have a very slow process. Being a major drawback, there is a need for a tool with a good methodology that is able to produce real time results which can be used by the farmers with ease. Such a device would greatly reduce the time delay, and will be able to accurately identify the nutrient composition of the soil samples. The nutrients focused in the soil analysis technique are N, P and K, these nutrients are essential requirements for all the major crops. In this paper, we will take a look at the standard method to check the nutrients of the soil (N, P, and K) for crops and focus on an IoT based analysis which would provide a brief report, according to which the farmers can use the best-suited fertilizer to enhance the growth of crops.
In the enterprise marketing process, online information assumes progressively significant job. As a kind of information, counterfeit surveys of the items, have been genuinely influencing the unwavering quality of both dynamic and information examination of the undertaking. To distinguish spam surveys, the paper presents a lot of conclusion spam discovery's ID markers dependent on conduct highlights of the spammer. Our review identification algorithm achieves lower latency. More importantly, the proposed algorithm for recognizing honest reviews can be used to analyze the relevancy between the review content and the given review topic by using the word segmentation technique. The Experimental results show that the number of fake reviews by our algorithms is higher than that of the traditional algorithm. Keywords: Word Segmentation, Spam reviews, Stemming, technology, fake detection Cite this Article: Saurav Waghmare, Tushar Shinde, Susheel Daware, Shraddha Subhedar. Fake Review Detection. Journal of Operating Systems Development & Trends. 2020; 7(2): 6–13p.
Bridges may get fallen or inclined because of flooding or some solid issue, normal catastrophes. So there is a need to plan a system which will consistently screen state of bridges. It is valuable for open safety and decrease in human misfortunes. Such framework will help in a debacle the board and recuperation. IoT-based scaffold security checking framework is created utilizing the WSN Technology. This framework is made out of: Monitoring devices introduced in the extension condition, specialized gadgets interfacing the scaffold checking gadgets and the cloud based server, a powerful database that stores connect condition information, cloud based server figures and breaks down information transmitted from the observing gadgets. This framework can screen and examine continuously the state of a scaffold and its condition, including the water levels and other safety conditions. This paper presents an exhaustive overview of SHM utilizing WSNs sketching out and calculation like harm recognition and restriction, arrange configuration difficulties and future exploration course. Keywords: bridge safety, IoT, technology, WSN (Wireless Sensor Network), SHM (Simple Harmonic Motion) Cite this Article: Pratik Jaiswal, Aditya Krishna Parida, Praveen Shinde. Bridge Safety Monitoring System. Journal of Operating Systems Development & Trends. 2020; 7(2): 1–5p.
Operating System - Concept and Comparison
Operating system is essential to operate computers. Normally, computers came with preloaded operating systems. The purpose of this paper is to discusses about the functionality of Operating Systems with their specialization in their field and how different OS are present with UI and hardware support for software tuning. Most of the OS are UNIX based or support UNIX like features. This discusses the pre-installed OS’s which are installed in many PC’s, Laptops and Mobile Phones and about most famous Linux distributions. Keywords: operating system, technology, UNIX, UI (User Interface), hardware Cite this Article: Vatsal Gupta, Nidhi Tyagi. Operating System-Concept and Comparison. Journal of Operating Systems Development & Trends. 2020; 7(2): 24–30p.