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The application of tool integration in an industrial use case in the context of the CRYSTAL European project is presented. In particular, the development of a connecting application conceived to provide interoperability between two tools used in the Model-Based design and analysis of aircraft systems is described. The main goal behind this activity is allowing different specialists to use several...
The low adoption of standards defined by the federal government may be preventing Brazilian e-government to reach more mature levels. In this context, the aim of this paper is to present an investigation we conducted in the Brazilian education sector to check whether federal universities comply with e-government standards when developing their web portals and which are their main strategies and challenges...
The software development industry has a vital role in the economic development of Africa. However, there are limited studies investigating the software industry in Africa. In this work, we attempt to close this gap through the study of the software industry in Sudan (East Africa). This paper presents a questionnaire based survey exploring the demographics, software development practices and risks...
The Factory of the Future vision focuses on new generation of enterprises that will exploit latest breakthroughs in data sciences and in Internet-connected devices to effectively address the ever increasing pace at which data and goods are nowadays traded. Among the many challenges emerging in this domain, particularly important is the ability to enhance the connection between the value-production...
Ongoing emphasis on the fourth industrial revolution requires further focus on the Internet of Things (IoT) as a means to integrate all relevant entities within a single technological system. In the integration process, a gateway to relay the raw data to an IoT endpoint is essential so that a joint interface among the heterogeneous domains can be provided. This work describes the development of a...
Improving safety of patient care is an ultimate objective for medical systems. Though many medical best practice guidelines exist and are in hospital handbooks, they are often lengthy and difficult for medical professionals to remember and apply clinically. Hence, developing safe and correct medical best practice guideline systems is an urgent need. Many efforts have been made in modeling, clinical...
This article proposes a method to quantify the structure of a bipartite graph using a network entropy per link. Collective behavior of participants' quotes and trades in the foreign exchange market is quantified by applying the proposed method to high frequency data. The network entropy per link corresponded to the macroeconomic situation. A finite mixture of Gumbel distributions is used to fit the...
As the complex workload scheduling and resource allocating mechanism in big data system, programmers' configuration error is one of the most typical root causes of unsuccessful termination of jobs, which can result in performance deterioration, availability degradation, resource inefficiency and user unsatisfactory. In this paper, we propose an approach called SD-Predictor, to predict misconfiguration-induced...
The challenges in Big Data start during the data acquisition, where it is necessary to transform non-structured data into a structured format. The Big Data Era brought a new challenge to data acquisition: the need for eliminating user intervention. In this context, the domain-centric data extraction (DCDE) methods arose through replacing user intervention with content redundancy. The DCDE methods...
Similar to Virtualization, Linux Containers (LXC) provides high-performance, lightweight computing resource allocation and isolation. Each LXC container has a resource overhead smaller than that of a virtual machine, leading to significantly lower container migration time and making frequent container placement modification a viable optimization technique. Traditional container scheduling mechanisms...
In the big data era, the distributed file system is getting more and more significant due to the characteristics of its scale-out capability, high availability, and high performance. Different distributed file systems may have different design goals. For example, some of them are designed to have good performance for small file operations, such as GlusterFS, while some of them are designed for large...
Community detection is a critical task for complex network analysis. It helps us to understand the properties of the system that a complex network represents and has significance to a wide range of applications. Nowadays, the challenges faced by community detection algorithms include overlapping community structure detection, large scale network analysis, dynamic changing of analyzed network topology...
With the emergence of smartphones and location-based social networks, a large amount of user-generated data has become available to better understand city dynamics and help urban planning. While most of the related works choose to focus on specific dimensions of the data, the proposed models aim to benefit from the extent of the information existing in social platforms. Thus, this paper explores the...
This paper proposes a novel ensemble method to improve the performance of binary classification. The proposed method is a non-linear combination of base models and an application of adaptive selection of the most suitable model for each data instance. Ensemble methods, an important type of machine learning technique, have drawn a lot of attention in both academic research and practical applications,...
Essentially, opinion reviews are a valuable and trustworthy source of information for the readers. However, regarding the business purposes, a huge number of deceptive opinions are intentionally posted on the Web. In order to keep opinion reviews as a precious and trusted resource, we propose a method which focuses on detecting positive and negative deceptive opinions. In this paper, we explore the...
Smoking is one of the most challenging behavioral health problems. In the past, failed quit attempts have been attributed to factors including stress, presence of smoking cues, and negative affect – most of which were self-reported and prone to recall-bias. The first step in designing effective smoking cessation systems is to objectively identify factors that contribute to lapse. In our research,...
Harassment, based on photos available on social media and other electronic media, has become a major problem in developing countries where internet usage has emerged without adaptation to privacy, awareness etc. We have developed a software sensing layer on top of existing software that would exploit the social connections and use that information to make sure certain images are revealed or not across...
This paper aims to study the process of converting the depth information of a real scene captured in a real environment into a tactile representation through a haptic device. We developed a belt-shaped interface with a matrix of 35 (7x5) vibrotactile actuators attached to the users' abdomen. Tests demonstrated that the device can help users to perceive the movement of objects and people, as well as...
In this paper, we present the design and implementation of a location-aware mobile-based emergency service for Bangladesh, a developing country, which lacks any central 911-like emergency service. Our goal was to investigate the feasibility and acceptability of such services that do not require building any new infrastructure or changing the existing infrastructure available in Bangladesh. To achieve...
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