Journal of Open Source Developments (JoOSD) ISSN: 2395-6704 Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 6.078 Journal of Open Source Developments (JoOSD) is a journal focused towards the rapid publication of fundamental research papers on Open Source Development. Journal DOI no.: 10.37591/ JoOSD Focus and Scope Cover Tools of open source development open source software projects, products, and processes Open source software artifacts and open source communities Economic analyses of open source Legal aspects of open source software Bug trackers and task lists Version control systems Methodology and data sources Watermarking Techniques Watermarking Methods 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: JoOSD 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.: 0120-4746-214/ Email: nikita@stmjournals.com
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Development of an Android Application for Efficient Handling of Corporate Data
In the corporate world, a large amount of data needs to be handled and managed efficiently. Therefore, an enterprise application that would help in efficient handling of data and reduce manual work needs to be developed. Sometimes in a particular organization, it becomes necessary to take quick decisions based on data from any location. Android is widely used and is an easily available operating system in smart phones. As Android is open source, it is easy to implement the application on this platform. So, the authors have implemented a system by binding features, namely security and decision making into a single application. This paper introduces a system, which contains two modules, namely, Manager Application and Employee Book. Manager Application is an android-based mobile application developed for handling large amount of corporate data from any location. This application includes decision making for team formation and graphs for employee performance tracking. Employee Book is a desktop application for employees to manage their own personal data as well as work data.
Real-Time Road Traffic Signal Monitoring and Controlling using Blind Scheduling Algorithm
We normally see at signals even if there is no vehicle at the other end still the GREEN signal comes. If that time can be utilized for other end where there is more congestion or more vehicles then the traffic will be easily controlled. The current system is statically controlled signal. Every end is predetermined with a specific time period where it signals Green. We are proposing a System that will be installed at every congested Cross way Road Signal. The System using Blind Scheduler can detect the number of vehicles on the path and updates the count at computer end. The system periodically collects and accordingly applies the logic to decide at what end the traffic is more. Accordingly the system manages the signal time and ensures a smooth flow of traffic. In this project, we consider a blind scenario where vehicle frequency and signal service time parameters are not available. We aim at developing a blind scheduling algorithm (BSA) that performs well across magnitudes of fairness, simplicity and asymptotic optimality for a relatively general Traffics Signal Management.BSA routes the new vehicles to the other end whose weighted idle time is the longest. If there is no vehicle on the road the green signal will not be given at that roadside.
The proposed method relates to a noble cause of helping working people in post office by providing an atomized module which can make their work easy in short time duration. Being particular, the proposed invention using predefined data base and software detects different areas’ PINCODE and further hardware mechanism is capable of distributing postcards as per their area and collect them in separate boxes.
Analysis of Digital and Audio Watermarking Methods
Due to increase in usage of digital multimedia, watermarking technology satisfies the various requirements of copyright protection applications in terms of audio signals but variety of properties of different audio signals crucially affect the selection of suitable watermarking technique. In this paper, due to some experimental requirements, different techniques have been compared. Echo hiding and cepstrum techniques have been used in terms of noise produced during the transmission of audio signal.
PROFILE OF HUMAN DEVLOPMENT IN KACHCHH DISTRICT OF GUJARAT STATE
The investigator has found out the Human Development in Kachchh District of Gujarat state with the help of secondary sources . It is the largest district in Gujarat and the second largest in India. District holds the topmost position in respect of value of income index amongst all the districts of Gujarat in 2001 . The Income index was 0.247 in 1991 which increased to 0.308 in 2001. The value of index increased to 0.061 during the decade of 1991 to 2001. The index value of education was 0.556 in 1991 which decreased to 0.547 in 2001. From the health point of view, the index increased from 0.394 to 0.531. The HDI of Kachchh was 0.399 which increased to 0.462. It increased by 0.063. It was concluded that Human development of Kachchh had increased due to improvement in income and health facilities during the pre decade of earth quake but our rank was 15 which was pushed down to 17 .
A Multi-Quadrant, Integrated and Secure Model of Multiple Watermarking
Watermarking safeguards the copyright of digital images with its original owner. A watermarking model is projected by conjoining three distinct multiple watermarking approaches. The secure model is obtained by integrating multiple watermarking with the latest secure cryptographic algorithms. The proposed model will improve copyright protection, achieve large embedding capacity and provide a stronger association amongst image and watermark for integrity and authentication. The multiple watermarking model partitions the cover image into distinct quadrants. Different algorithm is applied to each Quadrant (Q) for inserting watermarks (W) and fingerprint in succession. Combinations of fragile and robust watermarks are embedded in frequency domain and spatial domain. Quantitative analysis of image quality parameters reveals the effectiveness of the proposed model. Simulation results demonstrate the robustness by launching a number of attacks like blurring, cropping, JPEG compression, median filtering, noising and scaling against the watermarks without affecting with the quality of the image.
A Study on Offline Handwritten Character Recognition (OHCR) of Devanagari Script
Handwritten Character Recognition (HCR) has been an interesting and challenging area for the researchers and plays an important role in the modern world. Devanagari script contains many Indian languages such as Hindi, Marathi, Rajasthani. All these languages are based on Devanagari script. In this paper, we give an overview on different classifiers (to get the idea of recognition results) and provide new benchmark for future research from the existing systems, for the recognition of offline Devnagari handwritten characters.
Implementation of Audio Watermarking Technique by Spreaded Echo in Time Domain
Now a day, enormous amount of information is produced, stored and dispersed in digitized form. To endow with real time coverage with sequences of high quality audio, still images and video, mass communication media has turned online. This increases the possibility of large-scale unauthorized copying which may lead to undermine the music, film, book and software industries. These concerns over protecting copyright have triggered significant research to find ways to hide copyright messages and serial number in digital media. In this paper, we present audio watermarking technique that utilized in which time spreading is done using (PN) sequence as a confidential key, overcomes the problem of less security which prevails in most of the echo hiding techniques. The imperceptibility and the robustness of time-spread watermarking based on echo of audio signals are tested using various attacks.
A Review on Audio Watermarking Techniques
The quick development of web and applications utilizing advanced interactive media innovations has put stress on the need to give copyright security to sight and sound data. A computerized watermark can be depicted as an obvious or ideally imperceptible recognizable proof code that is forever installed in the information. So it can stay displayed inside the spread media after any unravelling methodology. The conceivable arrangement of above issue is distinctive Audio Watermarking Techniques, in the same way as Discrete Fourier Transform (DFT) system, Discrete Wavelet Transform (DWT) strategy, Discrete Cosine Transform (DCT) method.
Nowadays many equipment can be seen in the marketplace to assist constructing system. Thus for selecting the best equipment we have to recognize the maximum essential functions of it. Today, UML never forget as a de facto preferred in software program improvement and is used in lots of domain names starting from medical modeling to commercial enterprise modeling. Here, this study describes the maximum used UML equipment. It defines the principle functions of every one, after which comparison is done amongst them by keeping their functions in knowledge. It additionally defines the standards for selecting the best device in constructing system. Some equipment are used at helping precise life-cycle phases; however they regularly do not longer meet simple necessities bobbing up in heterogeneous environments, UML education, early life-cycle phases, or agile processes hassle-free device deployment, assist for instant version sketching, and photo export functions. A comparative study has been presented along with a choice of those equipment, display benefits and drawbacks for every device.
Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations to understand the current trends in the Play Store and the user bias for applications and utilize the data for making optimal decisions regarding their upcoming app.The success of an app can be determined by factors like ratings, number of installs and reviews. In this studywe demonstrate using applied exploratory data analysis to discover correlaations among features of an app and direct contribution of features towards success of the app to predict which apps will succeed. Data from Google Play Store was used to train various supervised learning models for prediction of the rating of an app, the models being-Random Forest, Support Vector Machine and Linear Regression. The user reviews are used to learn input bias of users towards applications using natural language processing techniques. Data of reviews is used to train classification models to predict polarity and sentiment of reviews.
English is one of the easiest languages to learn, compared with other complex languages. Learning English language is helpful for many reasons, but achieving true fluency takes additional dedication and determination.You may speak excellent English,but you are not considered as “fluent” as you accomplish a specific ease in speaking and feel comfortable utilizing expressions and idioms.Tomaster in English sentence and fluency, we here built up a software project named Android Sentence Framer Application. This application refers to different classes like food, games, breakfast etc. from which, the client can choose any of these categories to show its contents. After selection of any one category, the application will allow the client to choose multiple images of his decision from which the application frames a sentence and shows it to the client. Client can get into the system directly without login. This is how the client could easily construct English sentences, and furthermore can learn a lot from this system.The sentence framer can act as a good friend in correcting the English language of a person. Sometimes there will be someone to correct the language that you are speaking. You can speak more than typing. This application gives you more than the correct sentence.
Open Source Software development technically implies that the owners of the software publish their software's source code online. They give permission to anyone over the internet to use, alter, modify or distribute their software.Programmers, with access to the source code, use this opportunity to modify the software by fixing parts of code that arenot working appropriately or changing it. Open-source software usually comes with a license that helps programmers to customize the software to their own needs and manage how it is delivered. Overall, it implies that open source software is crowd-sourced. This paper talks about what open source software technically indicates, the advantages it offers, how it works and manymore.
Women Self Help Group For Record Maintaining
Abstract A women’s self group is a website where any women can be benefited by either joining this group or creating their own group. The group head can add and remove group members and also performs necessary management operations. All the records of the group can be well organized and maintained. This website will be really helpful for women who are running women’s self group with the benefit of automating everything and performing their group activities. Unfortunately the existing system has some security issues and operating slowly while handling huge amount of data. So, the objective of the present study is to help females with record maintaining and loan management; to save time by automating the whole system of women’s self group; and to help all the women who need financial support, by giving loans
A Review of Code Defect Likelihood Using ML Methods
Abstract Software begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction algorithm called Principal Component Analysis. The transformed dataset is then used in training the five MLAM to predict software defect as a classification task. Real life software packages are analyzed and code attribute values such as line of code, cyclomatic complexity, line of comment, number of operators, number of operands, and so on are extracted for use in testing the trained models. To ascertain the efficiency of the system and also select the best algorithm for prediction of software, the performance of the trained models is evaluated; using the metrics; accuracy, error rate, precision, and recall. These models are ranked with respect to their performance and the best model (model with the highest accuracy) is selected and recommended for the task of software defect prediction.
A Study on K-Nearest Neighbor Techniques with Other Techniques
Abstract The closest neighbor (NN) system is basic, exceptionally proficient and feasible in the field of example acknowledgment, content arrangement, object acknowledgment and so forth. Its straightforwardness is its primary preferred position; however, the impediments cannot be overlooked even. The memory necessity and calculation unpredictability are moreover matters. Numerous methods are created to defeat these restrictions. NN procedures are comprehensively ordered into structure less and structure-based procedures. In this paper, we present the review of such procedures. Weighted kNN, Model-based kNN, Dense NN, Reduced NN, Generalized NN are structure less procedures while k-d tree, ball tree, Principal Axis Tree, Closest Feature Line, tunable NN, Orthogonal Search Tree are structure put together calculations created with respect to the premise of kNN. The structure less technique conquer memory confinement and structure-based procedures lessen the computational multifaceted nature.
Sustainability in Requirement Analysis and Quality Assurance: An Improved and Enhanced SDLC
Abstract In each and every field of today’s world, information technology has established its remarkable and unavoidable footprint. Along with all its positive side, some negative issues are also associated with it. The objective of this paper is to highlight some major issues and their adverse impact on society and environment. This paper has also analysed the role of sustainability in software engineering and how sustainability can enhance software engineering process and to achieve long term objectives. We have also discussed Requirement Analysis during development phase and quality assurance during Maintenance phase. We have analysed these aspects in relation to GREENSOFT Model.
A Survey on Datamining Techniques and its Uses on Real-Time Applications
Abstract Data mining is one of the area gaining lot of sensible significance and is progressing at a brisk pace with new methods, methodologies and findings in diverse packages associated with remedy, computer science, bioinformatics and stock market prediction, climate forecast, textual content, audio and video processing to name a few. Data occurs to be the key difficulty in statistics mining. With the massive online facts generated from several sensors, Internet Relay Chats, Twitter, Face e book, Online Bank or ATM Transactions, the idea of dynamically converting records is becoming a key project, what we call as statistics streams. In this paper, we discuss about the data mining techniques and some of its applications that uses the data mining techniques in various stages, such as healthcare application, forensic, prediction analysis, agriculture, customer relationship management, sequence discovery and education sectors.
Big Data: A Survey Paper on MapReduce Big Data
Abstract Hadoop MapReduce is processed for analysis large volume of data through multiple nodes in parallel. However, MapReduce has two function Map and Reduce, large data is stored through HDFS. Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over This survey intends to assist the database and open source communities in understanding various technical aspects of the MapReduce framework. In this survey, we characterize the MapReduce framework and discuss its inherent pros and cons. We then initiate the development strategies which were announced in the recent literature. We also consider the open points and summons which were raised on parallel data analysis with MapReduce
We propose public key cryptosystem (PKC), which is based on the atomic discrete logarithm problem (DLP). Sometimes, the word atomic referred as logical. This can be found by the logical formulation over the finite field. We study the work of [1-10].Atomic cryptosystem deals with the Galois representation of the elements of the cyclic group over finite field for providing the security against semantic attacks. 2000 Mathematics Subject Classification Number: 94A60. Keywords: PKC, DLP,Atomic, Finite Field, Galois Representation. Cite this Article: Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee. Atomic Cryptosystem. Journal of Open Source Developments. 2020; 7(2): 1–6p.
We formulate a new DLP and designed a PKC. Our ProposedDiscrete Logarithm Problem (PDLP) is distinct from the Traditional Discrete Logarithm Problem (TDLP), which is proved in this paper. We use this PDLP for design a PKC. Our claim that, this PKC is more secure than the previous PKC’s, because a one reason is enough in support of this statement that, the PDLP is more complex problem because the computation of this problem is more difficult, because this has the distinct mathematical structure as compare to the TDLP. Mathematics Subject Classification NO: 94A60. Keywords: Proposed Discrete Logarithm Problem (PDLP), Public Key Cryptosystem (PKC), Traditional Discrete Logarithm Problem (TDLP), DLP, PKC. Cite this Article: Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee. Discrete Logarithm and Cryptosystem. Journal of Open Source Developments. 2020; 7(2): 15–17p.
Finite Field Extension and Public Key Cryptosystem
We propose DLP over Gauss’s finite cylcotomic extension fields (GFCEF) subsequently design a PKC. In this paper, we consider the concept known as of Gauss’s Finite Cyclotomic Extension Field (GFCEF) to propose seven DLPs. Our basic idea is to study the splitting fields of polynomial with special attention to the case K = Q. Then splitting fields turn out to be an Abelian extensions whose Galois Groups are well known. There are in general, referred as Finite Cyclotomic Extension Field (FCEF). 2010 AMS Mathematics Subject Classification Number: 94A60. Keywords: DLP, GFCEF, PKC, Galois Groups, Abelian Extension. Cite this Article: Sunil Kumar Kashyap, Birendra Kumar Sharma, Amitabh Banerjee. Finite Field Extension and Public Key Cryptosystem. Journal of Open Source Developments. 2020; 7(2): 22–24p.
This paper proposes a cryptosystem whose security comprises with the membership function of fuzzy. The security lies with the linguistic and numeric representation of information and its transformation by fuzzy. The one way hash function is substituted to membership function. The key generation and encryption comprises with fuzzy set and fuzzy logic respectively. Thus, the proposed system provides the security against all attacks by linguistic transformation rather than numeric representation. This is also an efficient cryptosystem by grading. Keywords: Fuzzy, Cryptosystem, Membership Function, Fuzzy Set, Fuzzy Logic.
The world changed with the invention of telephone and opened a wideworldof communication. Telephone was used basically to make calls and speak to the person at the other end. After the advent of smart phone, people use their devices for messaging, gaming, browsing the internet, listening to music, watching movies, online shopping, banking and sometimes making phone calls too. Smart phone today has become an essential accessory, a necessary evil and a part and parcel of day to day life of an individual. Some people are so fond of texting and others are comfortable just calling up. This review article weighs the pros and cons of making a phone call versus sending a text message and compares the behavioural pattern of smart phone users. Keywords:Texting, calling, instant messaging, short message service, communication Cite this Article: Gurmeet Singh Sarla. Texting or Calling: A Comparison.Journal of Open Source Developments. 2020; 7(2): 18–21p.
Design of Hybrid SAC-OCDMA FSO System Using Zero Cross Correlation Code
Spectral amplitude coding (SAC)-optical code division multiple access (OCDMA) being an ensuring advancement gives satisfactory response for burst and asynchronous environment. While free space optics (FSO) transfer information from one place to another at high speed where other systems are hard to reach. This paper offers and endeavors to dissect the performance of the system (SAC-OCDMA) through diverse environment conditions in FSO channel utilizing Zero cross correlation code having bit rate of 70 (10×7) Gb/s for seven users. In doing so, the influence of distance on the performance of SAC-OCDMA has been compared. The simulative investigation has been carried out as far as significant parameters like bit error rate (BER) and Eye diagrams. It has been observed from the comprehensive simulations that the system performance improves with an optical amplifier by 30.7%, 32.4%, 15% and 20.9% in clear weather, heavy haze, moderate Fog and heavy rain respectively. Keywords: FSO, SAC-OCDMA, ZCC code, Multi Access Interference (MAI), bit error rate (BER) Cite this Article Himali Sarangal, Amarpal Singh, Jyoteesh Malhotra, Simrandeep Singh Thapar. Design of Hybrid SAC-OCDMA FSO System Using Zero Cross Correlation Code. Journal of Open Source Developments. 2020; 7(1): 5–11p.