75 research outputs found
Analysis of unfair means cases in computer-based examination systems
No full textAbstractThere are mainly two systems of examination used by educational institutes to evaluate the performance of students. Most institutes use the conventional examination system, and some use computer-based examination systems. Unfair means is an illegal act by a student in either type of examination systems. In this paper, we will provide an overview of the types of examination systems. We will discuss types of unfair means cases in computer-based examination systems and will discuss some patterns and trends discovered using data mining techniques. After discussing the patterns, we will also suggest some key points for avoiding and diminishing the unfair means cases
Study of agile methodology with the cloud
No full textAbstractThis paper reviews different Cloud computing and agile development methodologies with new technologies that have come with new approaches. In the future, we can develop better quality software and can also provide computing services. However, the synergy between the two is bonded with technical and non-technical challenges. Agile methodologies are considered very competent in software development. Agile development techniques are very practical for accepting information and are necessary when the industry atmosphere changes
A Cost Estimating Method for Agile Software Development
No full textIn every software development project, the software effort estimating procedure is an important process in software engineering and always critical. The consistency of effort and timeline estimation, along with several factors, determines whether a project succeeds or fails. Both academics and professionals worked on the estimation approaches in software engineering. But, all these approaches have many problems that need to be addressed. One of the most difficult aspects of software engineering is estimating effort in agile development. This study aims to provide an effort estimation method for agile software development projects. Because in software engineering, the agile method is widely used for the development of software applications. The development and usage of the agile method are described in depth in this study. The framework is configured with empirical data gathered by projects from the software industry. The test findings reveal that the estimation method has great estimation accuracy in respect of mean magnitude of relative error (MMRE) and Prediction of Error PRED (n). The suggested approach achieves more accuracy for effort estimation as compare to others.Aziz Butt, ShariqMisra, SanjayPiñeres-Espitia, GabrielAriza-Colpas, PaolaMohan Sharma, Mayan
Efficient approaches to agile cost estimation in software industries: a project-based case study
No full textAgile was invented to improve and overcome the traditional deficiencies of software development. At present, the agile model is used in software development very vastly due to its support to developers and clients. Agile methodology increases the interaction between the developer-client, and it makes software product defects free. The agile model is fast and becoming more popular because of its features and flexibility. The study shows that the agile software development model is an efficient and effective software development strategy that easily accommodates user changes, but it is not free from errors or shortcomings. The study shows that COCOMO and Planning Poker are famous cost estimation procedures, but are not ingenious for agile development. We conduct a study on real-time projects from multinational software industries using different estimation approaches to estimate the project’s cost and time. We thoroughly explain these projects with the limitations of the techniques. The study has proven that the traditional and modern estimation approaches still have limitations to accurate estimation of projects.Aziz Butt, ShariqSanjay, MisraDiaz-Martinez, Jorge LuisDe la Hoz-Franco, Emir
Gas sensing system using an unmanned aerial vehicle
No full textA prototype is designed for the analysis of CO2 concentration. In this paper, to evaluate its functionality, data sending tests are executed. A low cost E34-2G4H20D RF module installed in a UAV (unmanned aerial vehicle) is used for data transmission. CO2 concentration measurement were made at the “Universidad de la Costa” in Barranquilla - Colombia. For this, a device was built for monitor the concentration of CO2 using the Arduino UNO platform and the MQ135 gas sensor. Tests were carried out at different heights to analyze package loss and CO2 concentration levels. The results show the effectiveness of the RF module in all tests for data transmission. The concentration of CO2 is evaluated in three zones to determine the minimum and maximum levels in each of them.Piñeres Espitia, Gabriel Dario-will be generated-orcid-0000-0002-8165-2697-600Aziz Butt, ShariqCañate-Masson, M.Alvarez-Navarro, A.Areeb Hassan, SyedGochhait, Saika
IoT smart health security threats
No full textThe Internet of things (IoT) is an active area in the current research community due to the improvement in mobile computing and wireless networks. Currently, the IoT is involved in many fields like smart cities, smart health monitoring, smart tracking, and smart factory; therefore, it is introducing new research opportunities and industrial revolutions. Smart health, in particular, is very important and trendy domain for researchers and practitioners due to its continuous monitoring of health of patients. The objective of smart health is to provide medical facilities to patients at anytime and anywhere. The smart health monitoring systems are mostly connected with the wireless network medium that is extremely vulnerable for threats. However various attacks are observed that can endanger these health monitoring applications and systems. These attacks include Denial of Service (DoS) Attack, Fingerprint and Timing-based Snooping, Router Attack, Select and Forwarding attack, Sensor attack and Replay Attack. In this paper, we discuss these attacks with their impact on health monitoring systems with some suggestive measures from our research findings.Aziz, Shariq-will be generated-orcid-0000-0002-5820-4028-600Díaz-Martínez, Jorge LJamal, TauseefAli, ArshadDe-La-Hoz-Franco, Emiro-will be generated-orcid-0000-0002-4926-7414-600Shoaib Saleem, Muhammad-will be generated-orcid-0000-0002-0050-6760-60
Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set
No full textThe Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is undergoing a transformation in which the learning requirements for different students must be fulfilled in various ways. Our study presents a novel multi-attribute group decision-making strategy that examines how the Internet of Things can help to provide the best learning environment while also making the educational process more effective. The probabilistic linguistic T-spherical fuzzy set (PLT-SFS) is a modification of the T-spherical fuzzy set in which the degrees of membership, abstinence, and non-membership are characterized by probabilistic linguistic terms. Then two new aggregation operators, the PLT-SF weighted power average (PLT-SFWPA) operator and the PLT-SF weighted power geometric (PLT-SFWPG) operator, are introduced. After that, an approach to multi-attribute group decision-making based on the analytic hierarchy process is constructed in which the data are aggregated by the PLT-SFWPA operator. To illustrate the validity of the proposed approach, a case study of nine Internet of Things applications for enhancing learning environments is provided
Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment
No full textThe organizations utilizing the cloud computing services are required to select suitable Information Security Controls (ISCs) to maintain data security and privacy. Many organizations bought popular products or traditional tools to select ISCs. However, selecting the wrong information security control without keeping in view severity of the risk, budgetary constraints, measures cost, and implementation and mitigation time may lead to leakage of data and resultantly, organizations may lose their user’s information, face financial implications, even reputation of the organization may be damaged. Therefore, the organizations should evaluate each control based on certain criteria like implementation time, mitigation time, exploitation time, risk, budgetary constraints, and previous effectiveness of the control under review. In this article, the authors utilized the methodologies of the Multi Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help the cloud organizations in the prioritization and selection of the best information security control. Furthermore, a numerical example is also given, depicting the step by step utilization of the method in cloud organizations for the prioritization of the information security controls.Tariq, Muhammad ImranTayyaba, ShahzadiAli Mian, NatashSarfraz, Muhammad ShahzadDe-la-Hoz-Franco, EmiroButt, Shariq AzizSantarcangelo, VitoRad, Dana
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