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Keyword: BehaviorShear Strength of Unreinforced Masonry Walls Retrofitted with CFRP
This paper investigates the in plane behavior of unreinforced masonry (URM) walls externally strengthening on both sides by different configurations of unidirectional carbon fiber reinforced polymer (CFRP) wraps. In order to evaluate the effectiveness of using the strengthening systems to improve the in plane behavior of masonry walls, the experimental program was conducted by testing…
Read MoreAntenna Radiation Performance Enhancement Using Metamaterial Filter for Vehicle to Vehicle Communications Applications
In this work, an integrated metamaterial filter design in close proximity with monopole antenna is proposed for vehicular communication applications. A cylindrical screen formed by an array of metamaterial cells is designed to be reflective at 5.9 GHz in order to enhance antenna performance in intelligent vehicle transport systems. The unit cell proposed design based…
Read MoreScapy Scripting to Automate Testing of Networking Middleboxes
Middleboxes like load balancers are being used by all the corporations to manage and support their infrastructures. These devices see a large amount of bandwidth every day. This might include a range of protocols which might be varying from network layer to the application layer. This traffic can be corrupt or malicious thus causing these…
Read MoreA Smart Box for Blood Bags Transport: Simulation Model of the Cooling Autonomy Control System
This paper faces the topic of blood products transport by applying simulation, control and data exchange technologies in order to implement a safe and efficient integrated transportation system. As known, the bio-chemical properties of blood and its derivatives are subjected to deterioration whenever a well determined temperature range is not respected for an excessive time…
Read MoreAlternative Financing Model for Smart Cities Initiatives in Indonesia
Currently Indonesia is working actively in the implementation of the Smart Cities initiative program. However, to be able to apply the concept, there are three main elements that must be prepared as the basic foundation. These elements are structure, infrastructure, and superstructure. In this study we focused on the problem of the high cost of…
Read MoreDesign and Analysis of Frequency Reconfigurable Antenna Embedding Varactor Diodes
In this paper, we present a broadband frequency tunable antenna embedding varactor diodes. The reference antenna structure is a square antenna of patch dimensions [39,2 × 39,2] mm², operating at a single resonance frequency 2.45GHz. The recommended procedure to achieve the frequency shifting is to etch rectangular slots on the patch and to embed two…
Read MoreExperimental Analysis in Alternate Current and Direct Current of the Operating Parameters of a Universal Single-Phase Engine
This article presents the experimental analysis of a rotary machine, Universal Motor Analysis; analysis that obeys the purpose of obtaining the almost perfect understanding of the electromechanical behavior of said unit of analysis; It should be noted that the variables to be analyzed were: voltage, current, power, torque, rpm, and power factor; specifically said data…
Read MoreCreating a Digital Twin: Simulation of a Business Model Design Tool
Digitization forces industry players to adapt to transforming market situations and buyer behavior. Technological advances, buyer power, and sharpened competitive intensity imply that businesses are confronted with the menace of commoditization. For companies to perform successfully in the market, outdated business models ought to be rethought and new business models should be created. Unique selling…
Read MoreArtificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction
In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…
Read MoreEstimating Academic results from Trainees’ Activities in Programming Exercises Using Four Types of Machine Learning
Predicting trainees’ final academic results in the early stage of programming class is a significant mission in the field of learning analytics. Performing exercises in programming class is hard and it takes a lot of time for trainees. For this reason, careful support with trainees are offered in many classes through classroom assistants (CAs). Even…
Read MoreEvaluation of the Effects of Bidding Strategy with Customized Pricing on the Individual Prosumer in a Local Energy Market
Peer-to-peer (P2P) energy trading is a mechanism that allows people to share locally the energy they have generated from distributed renewable resources (DER), to generate profit form the unused resources and to reduce the cost for electricity for the household and in the community itself. This calls for the design of new energy markets, accompanied…
Read MoreEarly Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method
Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related…
Read MoreA Novel Rule Based Technique to Detect Electricity Theft in India
It is high time to control and prevent power theft by manipulating the meter reading and tampering of the meter. It is possible to deal power theft by developing Advanced Metering Infrastructure (AMI) and smart grids. For most of the distribution companies, utility smart meters’ data is serving as wealthy source of information beyond billing.…
Read MoreEffects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning
Convolutional LSTMs are widely used for spatiotemporal prediction. We study the effect of using different activation functions for two types of units within convolutional LSTM modules, namely gate units and non-gate units. The research provides guidance for choosing the best activation function to use in convolutional LSTMs for video prediction. Moreover, this paper studies the…
Read MoreParallel Hybrid Testing Tool for Applications Developed by Using MPI + OpenACC Dual-Programming Model
Building massively parallel applications has become increasingly important with coming Exascale related technologies. For building these applications, a combination of programming models is needed to increase the system’s parallelism. One of these combinations is the dual-programming model (MPI+X) which has many structures that increase parallelism in heterogeneous systems that include CPUs and GPUs. MPI +…
Read MoreMultiple Social Metrics Based Routing Protocol in Opportunistic Mobile Social Networks
In Opportunistic Mobile social networks (OMSNs), the social characteristics and behavior of humans carrying mobile devices are exploited to improve information provision and data routing in the network. Social-based routing algorithms attempt to exploit users’ social features such as similarity, centrality and betweenness, singularly or combined, to select a suitable relay node among neighbors. However,…
Read MoreW.A.S.T.E. R.E.D.U.C.E.: Waste Auditing Sensor Technology to Enhance the Reduction of Edible Discards in University Cafeterias & Eateries
Food waste disposal and food availability are both problems in the world today. The ability to monitor food waste is currently limited by the use of manual data collection and sparsity of monitoring. Using sensors to automate the process of measuring and collecting data on food waste would allow constant monitoring and provide a better…
Read MoreDesign of an Additively Manufacturable Multi-Material Light-Weight Gripper with integrated Bellows Actuators
Combining state-of-the-art additive manufacturing technologies with structural optimization has the potential to produce geometrically complex multi-material components with integrated functionalities and desired structural behavior. In this article, the simulation-driven design process of a multi-material light-weight gripper with an integrated pneumatic bellows actuator is described. The design of the bellows structure is based on a previously…
Read MorePerformance Investigation of Semiconductor Devices using Commutation-speed based methodology for the application of Boost Power Factor Correction
In this paper, behavioral approach has been adopted for the calculation of total power losses that has been further used to derive an analytical model for the conduction and switching losses in a boost Power Factor Correction (PFC) stage of an On-board Charger (OBC). Detailed investigation of power losses can help in finding out ways…
Read MoreCan parallelization save the (computing) world?
As all other laws of the growth in computing, the growth of computing performance also shows a ”logistic curve”-like behavior, rather than an unlimited exponential growth. The stalling of the single-processor performance experienced nearly two decades ago forced computer experts to look for alternative methods, mainly for some kind of parallelization. Solving the task needs…
Read MoreProbabilistic Method for Anomalies Detection Based on the Analysis of Cyber Parameters in a Group of Mobile Robots
This article is devoted to the issues of ensuring the security of a group of mobile robots in the implementation of attacks aimed at the property of accessibility of information and the availability of network nodes. The article presents a method for detecting an abnormal behavior of a network node based on the analysis by…
Read MoreAttitude Control Simulation of a Legged Aerial Vehicle Using the Leg Motions
To gather information rapidly in disaster sites, a lot of search/rescue robots have been developed. It is difficult to correspond to the complicated environment composed of fields requiring various locomotion strategies, because most of these robots have only one type of locomotion device. To increase the available search routes under such conditions with the aim…
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 MoreVisualizing Affordances of Everyday Objects Using Mobile Augmented Reality to Promote Safer and More Flexible Home Environments for Infants
This study presented a prototype augmented reality (AR) application that helps visualize the affordances of everyday objects for infants in their home environments to prevent accidents and promote development. To detect and visualize affordances, we observed 16 infants regarding how they perceive and handle common objects from 4 to 12 months of age in their…
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