Lahore Garrison University Research Journal of Computer Science and Information Technology
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A Novel Approach of Tailoring PMBOK activities that best suit Software Development Projects
No full textProject management is very critical for any project's success regardless of its category. Various Project management methodologies are available that provide set of guidelines and standards to effectively and efficiently manage projects in the organization. Managing software development projects has faced a lot of challenges while complying with these project management methodologies. This is mainly because project management methodologies like PMBOK does not provide specific guidelines for managing software development projects. This embarks the importance of project management tailoring activities in the software development firms, to tailor these project management methodologies according to their own need. This paper will propose six most essential tailoring activities for managing software development projects. These tailoring activities will be performed on the project management body of knowledge (PMBOK)
Performance Evaluation of Dynamic Routing Protocols
No full textRouting protocols are an essential component while performing routing. Majority of the researches put stress on the analysis of the security of IPv6 routing protocols as a future research work. In case of DB query response time, EIGRPv6 did not perform well as compare to other two routing protocols. While for voice and video, jitter, packet end-to-end delay, EIGRPv6 performed best among other routing protocols. Their evaluation involved four pairs of scenarios and each pair dedicated to respective routing protocols to be analyzed. Finally, their results also predicted that communication between ISIS and OSPF routing protocols is quite noticeable. The major purpose of their research was to figure out the best possible combined solution of routing protocols in a complex scenario to provide a seamless flow of communication. While, in the combined network, RIP-OSPF combination had a low CPU utilization in comparison to EIGRP-OSPF combination. This paper will conduct a performance evaluation and analysis of routing protocols, RIP, OSPF, EIGRP and IGRP using different performance metrics. In a situation where there are frequent network topological changes, RIP and IGRP are the least suited routing protocols. While EIGRP and OSPF are the best suited routing protocols in a changing network environment. OSPF can be a better choice than EIGRP considering transmission cost and router overhead, while EIGRP performed best in terms of convergence, utilization, delay and throughput. Hence it becomes really difficult to select among OPSF and EIGRP. Future research can be based on selecting a routing protocol among OSP
Formal Modeling of Security Concerns in Android
No full textThe need of providing a secure environment to the users of technology is necessary to keep it going. Android devices are used by most of the population worldwide, to keep it working and developing it should be secure for the users. Applications are installed on the device by the user for specific purposes. Different applications interact with each other to perform some specific functions e.g. an application that doesn't have its built-in Calendar functionality asks for the permission to access it externally from another application/s installed on the device and this inter-application communication can result in data theft vulnerabilities because of communication with a malicious application directly or indirectly. We present a defense mechanism model named PBAD (Permission Based Attack Defense) Model, which protects the applications from interacting with malicious applications and protecting the permission protected interfaces of the innocuous applications. Our main focus is on the permission related security measures because the permission model of the Android OS is coarse-grained and it is vulnerable to attacks. The presented model is a PROMELA based model
Comparison of Various Load Balancing Techniques in a Centralized and Distributed Cloud Computing Environment
No full textcloud computing presently plays a significant job in our lives. The cloud is a platform that provides high accessibility, dynamic asset pools, and virtualization. By improving, it enables a huge reduction in cost. Load Balance in cloud computing is very important. For cloud computing, there are different techniques available that have different parameters. Many methods are used centrally and some are used in cloud computing distributed environments. In this exploration, we have thought about both, brought together and conveyed methods after picking the best load-balancing procedure that depends on various parameters, for example, execution, over-burden, throughput, reaction time, and movement time
IoT based Smart Traffic Signal: Time Stealer
No full textThe increased numbers of private vehicles on the roads has added much to the traffic congestions and wait time at the intersections. To make cities smart and smart cities smarter by reducing this problem, the number of systems has been and is being developed, as it also causes the wastage of time, fuel and also increases air and noise pollution. In this paper, we present a system ‘Time Stealer’ which will check the density of the traffic on the sides of the road and will give green light time accordingly keeping in view that all sides get their turn. This system will reduce the wait time that vehicles do even when there is no traffic on the green side and will also avoid signal jumping which is very common in our country and also a cause of the number of accident
A Technique and Architectural Design for Criminal Detection based on Lombroso Theory Using Deep Learning
No full textCrimes and criminal activities are increasing day by day and there are no proper criteria to search, detect, identify, and predict these criminals. Despite various surveillance cameras in different areas still, crimes are at a peak. The police investigation department cannot efficiently detect the criminals in time. However, in many countries for the sake of public and private security, the initiation of security technologies has been employed for criminal identification or recognition with the help of footprint identification, fingerprint identification, facial recognition, or based on other suspicious activity detections through surveillance cameras. However, there are limited automated systems that can identify the criminals precisely and get the accurate or precise similarity between the recorded footage images with the criminals that already are available in the police criminal records. To make the police investigation department more effective, this research work presents the design of an automated criminal detection system for the prediction of criminals. The proposed system can predict criminals or possibilities of being criminal based on Lombrosso's Theory of Criminology about born criminals or the persons who look like criminals. A deep learning-based facial recognition approach was used that can detect or predict any person whether he is criminal, or not and that can also give the possibility of being criminal. For training, the ResNet50 model was used, which is based on CNN and SVM Classifiers for feature extracting from the dataset. Two different labeled based datasets were used, having different criminals and noncriminals images in the database. The proposed system could efficiently help the investigating officers in narrowing down the suspects' pool
Usability Evaluation of Online Educational Applications in COVID-19
Get PDFCOVID-19 is a pandemic faced by almost every country in the world, this has resulted in health crisis. Due to COVID-19, all the countries around the world have decided to close all educational institutes to prevent this pandemic. Educational institutes have taken every possible measure to minimize the impact of the closure of schools and introduce the concept of an online education system which is not only a massive shock for parents but it also affects the children's learning process and social life. The educational applications (Apps) are very important, because they offer more opportunities for development and growth to society. In this pandemic situation, educational Apps like Zoom, HEC LMS, Google Classroom, and Skype, etc. are the need of the hour when everything goes online. In this paper, the usability features of online educational Apps are thoroughly discussed including the effectiveness and usability for students. Using the results obtained from the survey, this paper observes the student's perspective of usefulness of online educational Apps in student’s learning process of different age groups. It also analyzes the easiness for students to understand, interact and use these Apps
Study of Applications of Artificial Neural Networks
No full textThis study is related to the different methods of identification of artificial neural networks. These techniques assess and detect lung cancer in the early stage of life, therefore, preventing lung disease. Growth in lung cancer is Pakistan's principal cause of death, so early identification of lung disease is crucial. The position and expectation of growth of lung cancer is guided by the pre-treatment plan in which sections, smoothing, and improvement measures were prepared which includes procedures based on pictures and steps. Lung malignancy was linked to the proper model of the false neural system and paces of the endurance of patients with lung disease were also determined. The role of artificial neural systems in the medical profession is significant Nowadays most ailment treatment strategies are prepared to upgrade the yield display with the aid of man-made brainpower. The artificial neural network model is useful in lung cancerous growth disorder because lung type of cancer can be detected. The main aim of this paper is to study the different methods of artificial neural network techniques used to detect, assess, and treat patients with lung cancer. 
Detection of Tuberculosis using Hybrid Features from Chest Radiographs
No full textTuberculosis is a contagious disease, but it’s diagnosis is still a difficult and challenging task as it is considered a big threat everywhere on the planet. Literature shows that underdeveloped countries widely use chest radiographs (X ray images) for the diagnosis of tuberculosis. Low accuracy of results and high cost are the two main reasons due to which most of the available methods are not useful for radiologists. In our research, we proposed a detection technique in which features extraction is performed on the basis of their texture, intensity and shape. For evaluating the performance of our proposed methodology, Montgomery Country (MC) dataset is used. It is a publically available data set which consists of 138 CXRs; among them, 80 CXRs are normal and 58 CXRs are malignant. The results of the proposed technique have outperformed state of the art methodologies on the MC dataset as it has shown 81.16% accuracy
A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability
Get PDFThe Internet-of-Things (IoT) has become an important topic among researchers owing to its potential to change the way we live and use smart devices. In recent years, many research work found in the world are interrelated and convey via the existing web structure which makes a worldwide system called IoT. This study focused on the significant improvement of answers for a wider scope of gadgets and the Internet of Things IoT stages in recent years. In any case, each arrangement gives its very own IoT framework, gadgets, APIs, and information configurations promoting interoperability issues. These issues are the outcome of numerous basic issues, difficulty to create IoT application uncovering cross-stage, and additionally cross-space, trouble in connecting non-interoperable IoT gadgets to various IoT stages, what's more, eventually averts the development of IoT innovation at an enormous scale. To authorize consistent data sharing between various IoT vendors, endeavors by a few academia, industrial, and institutional groups have accelerated to support IoT interoperability. This paper plays out a far-reaching study on the cutting-edge answers for encouraging interoperability between various IoT stages. Likewise, the key difficulties in this theme are introduced