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Keyword: FramesProfiling Attack on WiFi-based IoT Devices using an Eavesdropping of an Encrypted Data Frames
The rapid advancement of the Internet of Things (IoT) is distinguished by heterogeneous technologies that provide cutting-edge services across a range of application domains. However, by eavesdropping on encrypted WiFi network traflc, attackers can infer private information such as the types and working status of IoT devices in a business or residential home. Moreover, since…
Read MoreMasonry Walls Behavior in Predominant Frames Structures
This was a study on the behavior of a confined masonry bearing wall in a medium height dual building. This wall had to be placed at one corner of the building. It had to be a masonry wall, not to be too stiff and drag the rigidity center too far from the building’s center. The…
Read MoreForced Vibration Response of Double-Bay Multi-Storey Building Frames with Joints of Infinite Rigidity
This paper studied external-source-excited vibration response of double-bay multi-storey building frames for the effect of joint stiffening on bending moment and joint displacement. One of the frames has normal rigid joints. Three others of the frames have stiffened joints of stiffened lengths: 275mm, 425mm and 775mm respectively. Lumped mass system was the dynamic model adopted.…
Read MoreAdvanced Fall Analysis for Elderly Monitoring Using Feature Fusion and CNN-LSTM: A Multi-Camera Approach
As society ages, the imbalance between family caregivers and elderly individuals increases, leading to inadequate support for seniors in many regions. This situation has ignited interest in automatic health monitoring systems, particularly in fall detection, due to the significant health risks that falls pose to older adults. This research presents a vision-based fall detection system…
Read MoreVideo Risk Detection and Localization using Bidirectional LSTM Autoencoder and Faster R-CNN
This work proposes a new unsupervised learning approach to detect and locate the risks “abnormal event” in video scenes using Faster R-CNN and Bidirectional LSTM autoencoder. The approach proposed in this work is carried out in two steps: In the first step, we used a bidirectional LSTM autoencoder to detect the frames containing risks. In…
Read MoreDense SIFT–Flow based Architecture for Recognizing Hand Gestures
Several challenges like changes in brightness, dynamic background, occlusion and inconsistency of camera position make the recognition of hand gestures difficult in any vision-based method. Diversity in finger shape, size, distribution and motion dynamics is also a big constraint. This leads to the motivation in developing a dense Scale Invariant Feature Transform (SIFT) flow based…
Read MoreThe Design Process in the Improvement of The Experience Between a Brand and its Target Audience Through a Digital Product: The Lexus Portugal’s used Car Website Case Study
The study aims to demonstrate how the use of the design process can align a brand’s strategy with the interests of its target audience through a digital product based on a case study. Currently, Lexus internal studies show that there is a possibility to meet the needs of new audiences, beyond the traditional ones (men,…
Read MoreEarthquake Response of Multi-Storey Infilled Reinforced Concrete Buildings
The aim of this work is to study the effect of infill brick panels on the response of multi-storey buildings under seismic loading. An eight storey building is investigated. The building is analysed under gravity and seismic loads. Infill panel is replaced by two struts according to FEMA306. Time history and pushover analyses are performed…
Read MoreReal-Time Traffic Sign Detection and Recognition System for Assistive Driving
Road traffic accidents are primarily caused by drivers error. Safer roads infrastructure and facilities like traffic signs and signals are built to aid drivers on the road. But several factors affect the awareness of drivers to traffic signs including visual complexity, environmental condition, and poor drivers education. This led to the development of different ADAs…
Read MoreSpot Toyota: Design and Development of a Mobile Application for Toyota’s Promotion Actions to the Young Audience
This project aims to demonstrate the importance that digital media can have to the development of loyalty programs, namely in creating empathy and proximity relationships between brands and their target audience: young people. This study consisted of the creation of a digital platform for Toyota Portugal, named Spot Toyota, to communicate actions promoted by the…
Read MoreMedium Height Dual Buildings with Masonry and Concrete Walls in High Seismic Areas
This is a comparative study on the behavior of a dual medium height building with different walls solutions, in a high seismic area (Bucharest, Romania). The main feature of those buildings is the placement of load bearing walls on the perimeter of the building. This is done to limit the lateral displacement when the structure…
Read MoreLinear Evaluation on Weak Story Medium Rise Structures Placed in High Seismic Areas
The paper shows the influence of nonbearing masonry walls for medium rise framed buildings placed at higher stories but not at the ground floor. The building studied here is a hotel that will be built in Bucharest, Romania. This is a high seismic area according to the seismic codes in force. The structure is composed…
Read MoreSlender Confined Masonry Buildings in High Seismic Areas
This is a study on a confined masonry slender walls building in a high seismic area. The structure also contains frames, but the walls bear most of the gravity and seismic loads. The building will be used as a school. It will be built in Bucharest, Romania. It contains a ground floor and 2 stories…
Read MoreVirtual Output Queues Architecture for High Throughput Data Center Nodes
The latest design approach for Data Centers (DCs) follows the direction of exploiting optical switching to connect Top-of-Rack (ToR) switches that serve thousands of data storing and computing devices. A ToR’s usual function is the Virtual Output Queues (VOQs), which is the prevalent solution for the head-of-line blocking problem of the DC switches. An effective…
Read MoreModeling Double Subjectivity for Gaining Programmable Insights: Framing the Case of Uber
The Internet is the premier platform that enable the emergence of new technologies. Online news is unstructured narrative text that embeds facts, frames, and amplification that can influence society attitudes about technology adoption. Online news sources are carriers of voluminous amounts of news for reaching significantly large audience and have no geographical or time boundaries.…
Read MoreMonocular Height Estimation Method with 3 Degree-Of-Freedom Compensation of Road Unevennesses
Height estimation of objects is a valuable information for locomotion of autonomous robots and vehicles. Even though several sensors such as stereo cameras have been applied in these systems, cost and processing time have been motivating solutions with monocular cameras. This research proposes two new methods: i) height estimation of objects using only a monocular…
Read MoreReal Time Advanced Clustering System
This paper describes a system to gather information from a stationary camera to identify moving objects. The proposed solution makes only use of motion vectors between adjacent frames, obtained from any algorithm. Starting from them, the system is able to retrieve clusters of moving objects in a scene acquired by an image sensor device. Since…
Read MoreFrame Filtering and Skipping for Point Cloud Data Video Transmission
Sensors for collecting 3D spatial data from the real world are becoming more important. They are a prime research area topic and have applications in consumer markets, such as medical, entertainment, and robotics. However, a primary concern with collecting this data is the vast amount of information being generated, and thus, needing to be processed…
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