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Automatic recognition of human demographical attributes has implications in a variety of domains, such as surveillance systems, human computer interaction, marketing etc. In this paper, we present an automatic gender recognition method from facial images based on convolutional neural networks. In order to train the network, we merged together several face databases and also gathered and annotated...
This paper addresses the semantic gap between the domain knowledge and software application engineering by proposing a framework for mapping and integrating multiple heterogeneous data sources with application business logic by means of data semantic enrichment, aggregation, filtering and processing. Based on the main drawbacks identified in the current knowledge enhanced software application architectures,...
The importance of face anti-spoofing algorithms in biometric authentication systems is becoming indispensable. Recently, the success of Convolution Neural Networks (CNN) in key application areas of computer vision has encouraged its use in face biometrics for face anti-spoofing and verification applications. However, small training data has restricted the use of deep CNN architectures for face anti-spoofing...
The National Institute of Standards and Technology Network of Things (NoT) concept offers a framework to build a living NoT architecture using a graph theoretic approach. This architectural model captures system state dynamics in a way NoT typically supported in static architectural frameworks.
In this research, RESTful API as a service provider of data resource of oil palm plantation from the database using Resource-Oriented Architecture (ROA)-Slim Framework is developed. This development is able to result in a series of URI to access the data resources of the condition of the plantation environment as the support of monitoring system in oil palm plantation. Based upon the result of the...
With its ability to detect, identify and, if applicable, recover from occurred faults, online-diagnosis can help achieving fault-tolerant systems. A sound decision on an occurred fault is the foundation for fault-specific recovery actions. For this, typically a large amount of data has to be analyzed and evaluated. A diagnostic process implemented on a distributed system needs to communicate all those...
A good and robust integration system cannot be separated from how the initial design of the system is selected and implemented. Therefore, integrating existing systems to become a large system that meets the needs of other connected systems requires full assessment and verification so that when the system is implemented, the necessary changes required in the future will be able to be accommodated...
This paper presents the design and implementation of an Internet of Thing (IoT)-based system for indoor localization using Bluetooth Low Energy (BLE) technology. Our solution consists of two main systems: an acquisition system and a central server, under the Client-Server paradigm and the IoT philosophy. We report the development of different modules: measurement (Bluetooth beacons), data aggregation...
The world is moving towards to the fourth industrial revolution, usually linked with the Industrie 4.0 initiative, enables the digitization of manufacturing factories by using Cyber-Physical Systems and emergent technologies like Internet of Things and Internet of Services. The seamless reconfiguration of these complex industrial cyber-physical systems is an important challenge for the complete implementation...
The success of big data projects depends heavily on the ability to decide which technological expertise and architectures are required in such a context. However, there is confusion in scientific discourse regarding the systemization of big data technologies which exacerbates this problem. Therefore, in this paper, a structured literature review is conducted to assess the current state of the art...
In contrast to applications relying on specialized and expensive highly-available infrastructure, the basic approach of microservice architectures to achieve fault tolerance – and finally high availability – is to modularize the software system into small, self-contained services that are connected via implementation-independent interfaces. Microservices and all dependencies are deployed into self-contained...
This paper presents an architecture to provide endto- end per-user services with support to client mobility, designed according to the SDN and NFV paradigms. Our service platform dynamically configures and launches service requests when the client connects to the network, which are used by a multidomain orchestration system to arrange the required network configuration and computational resources...
In this paper we utilize the first large-scale "in-the-wild" (Aff-Wild) database, which is annotated in terms of the valence-arousal dimensions, to train and test an end-to-end deep neural architecture for the estimation of continuous emotion dimensions based on visual cues. The proposed architecture is based on jointly training convolutional (CNN) and recurrent neural network (RNN) layers,...
This paper addresses the problem of automatically inferring personality traits of people talking to a camera. As in many other computer vision problems, Convolutional Neural Networks (CNN) models have shown impressive results. However, despite of the success in terms of performance, it is unknown what internal representation emerges in the CNN. This paper presents a deep study on understanding why...
As software engineering researchers, we are also zealous tool smiths. Building a research prototype is often a daunting task, let alone building an industry-grade family of tools supporting multiple platforms to ensure the generalizability of results. In this paper, we give advice to academic and industrial tool smiths on how to design and build an easy-to-maintain architecture capable of supporting...
The microservice architecture (MSA) is an emerging cloud software system, which provides fine-grained, self-contained service components (microservices) used in the construction of complex software systems. DevOps techniques are commonly used to automate the process of development and operation through continuous integration and continuous deployment. Monitoring software systems created by DevOps,...
The paper presents a novel flexible low-power architecture for memory-based computing that relies on a NoC and power-gated distributed MRAM. The proposed approach is demonstrated with a database search application implemented with a Sparse-Neural-Network (SNN). Multiple SystemC simulations have been conducted over the MRAM-based computing architecture targeting hundreds of database queries. The results...
In this paper, an integrated architecture approach in designing and developing a DBLearn web-based application is presented. The DBLearn system is a personalized and adaptive e-learning system designed especially for learning practices in database courses. This approach focused on topics that are important but difficult for new learners, such as database design and structured query language (SQL)...
With the development of mobile Internet and FinTech (Financial Technology), clients are raising their expectations for online banking systems. They now expect bank information system to provide sustained services with high quality and require the online banking system to manage various operational risks. Existing research on the construction of highly available systems mainly solves the problems how...
Database is widely used for information storage and management. With the explosion of the data size, the requirement of the storage capacity is growing dramatically. Cloud offers clients a scalable solution to meet the demand of the increasing space. A cloud service, if used and managed properly, can increase the resource usability and provide more secure services. In this paper, we propose a cloud-based...
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