Source: https://www.jisem-journal.com/volume-2/issue-4
Timestamp: 2019-04-21 00:58:22+00:00

Document:
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 20.
Recent advances in microcopy and improvements in image processing algorithms have allowed the development of computer-assisted analytical approaches in cell identification. Several applications could be mentioned in this field: Cellular phenotype identification, disease detection and treatment, identifying virus entry in cells and virus classification; these applications could help to complement the opinion of medical experts. Although many surveys have been presented in medical image analysis, they focus mainly in tissues and organs and none of the surveys about image cells consider an analysis following the stages in the typical image processing: Segmentation, feature extraction and classification. The goal of this study is to provide comprehensive and critical analyses about the trends in each stage of cell image processing. In this paper, we present a literature survey about cell identification using different image processing techniques.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 21.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 22.
The use of electrical and electronic devices has grown exponentially in the last years thanks to technological advances and its wide dissemination. Consequently, the number of obsolete equipment (electronic waste or e-waste) has also increased significantly, becoming a major problem for society. This paper deals with electronic waste and explains the concept and risks for the particular case of Portugal. Measures to reduce the problem such as legislation, education production R&D and social responsibility are also discussed. And finally, a survey is presented which was carried out in two Portuguese Higher Education institutions with a view to determining students' awareness, attitudes and opinions on this matter.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 23.
Software maintenance is the activity in which changes occur in the artifacts of a software after delivery, with the purpose of keeping it available, correcting its failures, improving its performance and adapting it to new or modified requirements, according to the needs of Your users. It is an indispensable activity, without which existing systems would quickly become lagging and inefficient for organizations. The objective of this work is to verify the adherence of existing software maintenance models and processes in an organization whose product is used by a large number of users. After identifying and evaluating the problems of the company's current situation, carried out through a case study, actions are suggested to improve its software maintenance process.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 24.
Software testing is a key process that ensures a reliable quality product, and like other activities in the development process, have a wide range of tools available, but still requires a lot of human work, where the final quality of the software can be impacted directly by several factors. In this sense, this study aims to identify the human factors (cognitive, operational and organizational) present in the test process and to define the influence of these factors during their execution. Thus, the article presents a study with quantitative methods and techniques of the survey type, in which 112 professionals from the test area participated in 17 Brazilian states. The results provide a set of human factors that correlate with the final quality of a software product or service.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 25.
Relevance is usually estimated by search engines using document content, disregarding the user behind the search and the characteristics of the task. In this work, we look at relevance as framed in a situational context, calling it situational relevance, and analyze whether it is possible to predict it using documents, users and tasks characteristics. Using an existing dataset composed of health web documents, relevance judgments for information needs, user and task characteristics, we build a multivariate prediction model for situational relevance. Our model has an accuracy of 77.17%. Our findings provide insights into features that could improve the estimation of relevance by search engines, helping to conciliate the systemic and situational views of relevance. In a near future we will work on the automatic assessment of document, user and task characteristics.
Journal of Information Systems Engineering & Management, Volume 2, Issue 4, Article No: 26.
In up-to-date conditions information technology is frequently associated with the modelling process, using computer technology as well as information networks. Statistical modelling is one of the most widespread methods of research of economic systems. The selection of methods of modelling of the economic systems depends on a great number of conditions of the researched system. Modelling is frequently associated with the factor of uncertainty (or risk), who’s description goes outside the confines of the traditional statistical modelling, which, in its turn, complicates the modelling which, in its turn, complicates the modelling process. This article describes the modelling process of assessing the economic efficiency of a multi-boiler adaptive heating system in real-time systems which allows for dynamic change in the operation scenarios of system service installations while enhancing the economic efficiency of the system in consideration.
Badea, C.A. and Andrei, H. (2016). Optimization of Energy Consumption of a Wastewater Treatment Plant by Using Technological Forecasts and Green Energy. In 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, pp. 1–5. https://doi.org/10.1109/EEEIC.2016.7555734.
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Jurenoks, A., Novickis, L. (2015). Wireless Sensor Network Live Circle Simulation Tools to Balance Energy Consumption in the Network Nodes. In Proceedings of 29th European Simulation and Modelling Conference, Leicester, United Kingdom, 26-28 October. ISBN 978-9077381-908, pp. 245–249.
Jurenoks, V. and Jansons, V. (2008). The Use of Specialized Programs for Modelling and Analysis of Behaviour of Economic Systems. In RTU International Scientific conference, Riga, RTU, 16 Edition, pp.72 -80.
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