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Keyword: ProblemGrasping and Placing Operation for Labware Transportation in Life Science Laboratories using Mobile Robots
In automated working environments, mobile robots can be used for different purposes such as material handling, domestic services, and objects transportation. This work presents a grasping and placing operation for multiple labware and tube racks in life science laboratories using the H20 mobile robots. The H20 robot has dual arms where each arm consists of…
Read MoreComparative Study of Adaptive Consensus Control of Euler-Lagrange Systems on Directed Network Graph
A comparative study between adaptive consensus control of multi-agent systems composed of fully actuated mobile robots which are described as a class of Euler-Lagrange systems on directed network graphs based on the notion of inverse optimal H∞ control criterion (Controller I), and the similar control strategy without H∞ control criterion (Controller II), is given in this paper.…
Read MoreA novel algorithm for detecting human circadian rhythms using a thoracic temperature sensor
Circadian rhythms undergo high perturbations due to cancer progression and worsening of metabolic diseases. This paper proposes an original method for detecting such perturbations using a novel thoracic temperature sensor. Such an infrared sensor records the skin temperature every five minutes, although some data might be missing. In this pilot study, five control subjects were…
Read MoreA Microwave Reflectometer Prototype for Detection of Body Through the Rubble of Collapsed Buildings
There is a growing interest in using radio frequency in imaging for problem solving in situational awareness, surveillance, search and rescue operations, and screening for security. This has been fetched from recent development in addition to innovative technologies in microwave radar imaging applications. Despite the fact that no new phenomenology is exposed in this field,…
Read MoreSpace Time – Track Circuits with Trellis Code Modulation
The track circuits are very important equipments used in the railway transportation system. Today these are used to send vital information, to the running train, in the same time with the integrity checking of the rail. The actual track circuits have a small problem due to the use of the same transmission medium by the…
Read MoreRanking of Two Multi Criteria Decision Making Cases with Evidential Reasoning under Uncertainty
Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one…
Read MoreDeterministic Approach to Detect Heart Sound Irregularities
A new method to detect heart sound that does not require machine learning is proposed. The heart sound is a time series event which is generated by the heart mechanical system. From the analysis of heart sound S-transform and the understanding of how heart works, it can be deducted that each heart sound component has…
Read MoreA Design of SDN Based IP Mobility Management Considering Inter-Domain Handovers and Its Evaluation
To use IP services continually while users are moving with their mobile devices, IP mobility management that enables them to keep IP communication is necessary. Although Mobile IP is a popular method to manage IP mobility, Mobile IP has a problem that there is a possibility of a mobile node (MN) communicating over a redundant…
Read MoreStructural Optimization of Wavy FinFET for Leakage Reduction and Performance Enhancement
Wavy FinFET is a hybrid device that integrates FinFET and Ultrathin Body FET technologies on SOI platform to provide high density and drivability without causing area penalty. The problem associated with this device is higher leakage and lower threshold voltage. This problem can be solved by structural modification of the device. This work analyses the…
Read MoreAnalysis of Wireless Traffic Data through Machine Learning
The paper presents an analytical study on a wireless traffic dataset carried out under the different approaches of machine learning including the backpropagation feedforward neural network, the time-series NARX network, the self-organizing map and the principal component analyses. These approaches are well-known for their usefulness in the modeling and in transforming a high dimensional data…
Read MoreInterdisciplinarity to Integrate Knowledge in Engineering
This paper is an extension of work originally presented at the 2nd International Conference of the Portuguese Society for Engineering Education and aims to describe an interdisciplinarity teaching experiment involving three subjects of the scientific area of Mathematics and a fourth one in the area of Management. Using only one project, the students developed skills,…
Read MoreHuman Sit Down Position Detection Using Data Classification and Dimensionality Reduction
The analysis of human sit down position is a research area allows for preventing health physical problems in the back. Many works have proposed systems that detect the sitting position, some open issues are still to be dealt with, such as: Cost, computational load, accuracy, portability, and among others. In this work, we present an…
Read MoreCollision avoidance between a wheelchair front wheels and a step wall during step climbing using a care robot
This paper discusses a step climbing strategy using a wheelchair and a teleoperated care robot that avoids collisions between the wheelchair’s front wheels and the step wall. In our method, the two vehicles are connected and use the velocity difference between them to climb steps. Since the wheelchair’s front wheels, or another part of the…
Read MoreSystem Control Device Electronics Smart Home Using Neural Networks
The use of information technology is very useful for today’s life and the next, where the human facilitated in doing a variety of activities in the life day to day. By the development of the existing allows people no longer do a job with difficulty. For that, it takes a system safety home using system…
Read MoreSpatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
The availability of traffic data and computational advances now make it possible to build data-driven models that capture the evolution of the state of traffic along modeled stretches of road. These models are used for short-time prediction so that transportation facilities can be operated in an efficient way that guarantees a high level of service.…
Read MoreComputer Aided Classification using Support Vector Machines in Detecting Cysts of Jaws
Jaw cyst is one of the most common pathology observed in the field of dentistry. Early detection of the cystic lesion will help the surgeons to take appropriate therapeutic measures after a thorough diagnostic procedure. One of the challenging task for surgeons is to differentiate the cysts from the other pathologies. The appearance of these…
Read MoreIncorporating Spatial Information for Microaneurysm Detection in Retinal Images
The presence of microaneurysms(MAs) in retinal images is a pathognomonic sign of Diabetic Retinopathy (DR). This is one of the leading causes of blindness in the working population worldwide. This paper introduces a novel algorithm that combines information from spatial views of the retina for the purpose of MA detection. Most published research in the…
Read MoreThe Search for a Convergent Option to Deploy Smart Grids on IoT Scenario
Smart city projects are quickly evolving in several countries as a feasible solution to the urban organization to provide sustainable socioeconomic growth and solve problems that arise as the populations of these cities grow. In this sense, technology application plays an important role in enabling automation of processes, improving the citizen’s quality of life and…
Read MoreImpact of PSS and SVC on the Power System Transient Stability
The Static Var Compensator (SVC) is used to improve the stability of the power system because of its role in injecting or absorbing the reactive power in the electrical transmission lines. The Power System Stabilizer (PSS) is also a control device which ensures maximum power transfer and thus the stability of the power system enhancement.…
Read MoreMulti-Domain Virtual Network Embedding with Coordinated Link Mapping
Network Virtualization, which allows the co-existence of various logical networks on shared physical infrastructure, has become popular in recent years. The optimal mapping of virtual resource to physical resource is a major issue in network virtualization. This problem, called virtual network embedding (VNE), has been well explored in the context of one physical domain, which…
Read MoreMatrix Encryption Scheme
In classical cryptography, the Hill cipher is a polygraphic substitution cipher based on linear algebra. In this work, we proposed a new problem applicable to the public key cryptography, based on the Matrices, called “Matrix discrete logarithm problem”, it uses certain elements formed by matrices whose coefficients are elements in a finite field. We have…
Read MoreGestural Interaction for Virtual Reality Environments through Data Gloves
In virtual environments, virtual hand interactions play a key role in interactivity and realism allowing to perform fine motions. Data glove is widely used in Virtual Reality (VR) and through simulating a human hands natural anatomy (Avatar’s hands) in its appearance and motion is possible to interact with the environment and virtual objects. Recently, hand…
Read MoreValidity and efficiency of conformal anomaly detection on big distributed data
Conformal Prediction is a recently developed framework for reliable confident predictions. In this work we discuss its possible application to big data coming from different, possibly heterogeneous data sources. On example of anomaly detection problem, we study the question of saving validity of Conformal Prediction in this case. We show that the straight forward averaging…
Read MoreAssessment of the usefulness and appeal of stigma-stop by psychology students: a serious game designed to reduce the stigma of mental illness
The present work describes the first serious game designed to reduce the stigma among students towards mental health problems. The game is called Stigma-Stop, and it features characters who suffer from various mental disorders. Players are provided with information about different mental illnesses, and they are presented with several options on how to act when…
Read MoreFault Diagnosis and Tolerant Control Using Observer Banks Applied to Continuous Stirred Tank Reactor
This paper focuses on studying the problem of fault tolerant control (FTC), including a detailed fault detection and diagnosis (FDD) module using observer banks which consists of output and unknown input observers applied to a continuous stirred tank reactor (CSTR). The main objective of this paper is to use a FDD module here proposed to…
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