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Articles 1 - 9 of 9
Full-Text Articles in Engineering
Grouping Environmental Factors Influencing Individual Decision-Making Behavior In Software Projects: A Cluster Analysis, Luiz Fernando Capretz
Grouping Environmental Factors Influencing Individual Decision-Making Behavior In Software Projects: A Cluster Analysis, Luiz Fernando Capretz
Electrical and Computer Engineering Publications
An individual’s decision-making behavior is heavily influenced by and adapted to external environmental factors. Given that software development is a human-centered activity, individual decision-making behavior may affect the software project quality. Although environmental factors affecting decision-making behavior in software projects have been identified in prior literature, there is not yet an objective and a full taxonomy of these factors. Thus, it is not trivial to manage these complex and diverse factors. To address this deficiency, we first design a semantic similarity algorithm between words by utilizing the synonymy and hypernymy relationships in WordNet. Further, we propose a method to measure …
Development And Grasp Analysis Of A Sensorized Underactuated Finger, Mahyar Abdeetedal, Mehrdad Kermani Ph.D., P.Eng.
Development And Grasp Analysis Of A Sensorized Underactuated Finger, Mahyar Abdeetedal, Mehrdad Kermani Ph.D., P.Eng.
Electrical and Computer Engineering Publications
No abstract provided.
Grasp Evaluation Method For Applying Static Loads Leading To Beam Failure, Mahyar Abdeetedal, Mehrdad Kermani Ph.D., P.Eng.
Grasp Evaluation Method For Applying Static Loads Leading To Beam Failure, Mahyar Abdeetedal, Mehrdad Kermani Ph.D., P.Eng.
Electrical and Computer Engineering Publications
This paper deals with the problem of purposefully failing or yielding an object by a robotic gripper. We propose a grasp quality measure fabricated for robotic harvesting in which picking a crop from its stem is desired. The proposed metric characterizes a suitable grasp configuration for systematically controlling the failure behavior of an object to break it at the desired location while avoiding damage on other areas. Our approach is based on failure task information and gripper wrench insertion capability. Failure task definition is accomplished using failure theories. Gripper wrench insertion capability is formulated by modeling the friction between the …
Digit-Level Serial-In Parallel-Out Multiplier Using Redundant Representation For A Class Of Finite Fields, Parham Hosseinzadeh Namin, Roberto Muscedere, Majid Ahmadi
Digit-Level Serial-In Parallel-Out Multiplier Using Redundant Representation For A Class Of Finite Fields, Parham Hosseinzadeh Namin, Roberto Muscedere, Majid Ahmadi
Electrical and Computer Engineering Publications
Two digit-level finite field multipliers in F2m using redundant representation are presented. Embedding F2m in cyclotomic field F2(n) causes a certain amount of redundancy and consequently performing field multiplication using redundant representation would require more hardware resources. Based on a specific feature of redundant representation in a class of finite fields, two new multiplication algorithms along with their pertaining architectures are proposed to alleviate this problem. Considering area-delay product as a measure of evaluation, it has been shown that both the proposed architectures considerably outperform existing digit-level multipliers using the same basis. It is …
An Ensemble Learning Framework For Anomaly Detection In Building Energy Consumption, Daniel B. Araya, Katarina Grolinger, Hany F. Elyamany, Miriam Am Capretz, Girma T. Bitsuamlak
An Ensemble Learning Framework For Anomaly Detection In Building Energy Consumption, Daniel B. Araya, Katarina Grolinger, Hany F. Elyamany, Miriam Am Capretz, Girma T. Bitsuamlak
Electrical and Computer Engineering Publications
During building operation, a significant amount of energy is wasted due to equipment and human-related faults. To reduce waste, today's smart buildings monitor energy usage with the aim of identifying abnormal consumption behaviour and notifying the building manager to implement appropriate energy-saving procedures. To this end, this research proposes a new pattern-based anomaly classifier, the collective contextual anomaly detection using sliding window (CCAD-SW) framework. The CCAD-SW framework identifies anomalous consumption patterns using overlapping sliding windows. To enhance the anomaly detection capacity of the CCAD-SW, this research also proposes the ensemble anomaly detection (EAD) framework. The EAD is a generic framework …
Deep Neural Networks With Confidence Sampling For Electrical Anomaly Detection, Norman L. Tasfi, Wilson A. Higashino, Katarina Grolinger, Miriam A. M. Capretz
Deep Neural Networks With Confidence Sampling For Electrical Anomaly Detection, Norman L. Tasfi, Wilson A. Higashino, Katarina Grolinger, Miriam A. M. Capretz
Electrical and Computer Engineering Publications
The increase in electrical metering has created tremendous quantities of data and, as a result, possibilities for deep insights into energy usage, better energy management, and new ways of energy conservation. As buildings are responsible for a significant portion of overall energy consumption, conservation efforts targeting buildings can provide tremendous effect on energy savings. Building energy monitoring enables identification of anomalous or unexpected behaviors which, when corrected, can lead to energy savings. Although the available data is large, the limited availability of labels makes anomaly detection difficult. This research proposes a deep semi-supervised convolutional neural network with confidence sampling for …
A Gamification Framework For Sensor Data Analytics, Alexandra L'Heureux, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz
A Gamification Framework For Sensor Data Analytics, Alexandra L'Heureux, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz
Electrical and Computer Engineering Publications
The Internet of Things (IoT) enables connected objects to capture, communicate, and collect information over the network through a multitude of sensors, setting the foundation for applications such as smart grids, smart cars, and smart cities. In this context, large scale analytics is needed to extract knowledge and value from the data produced by these sensors. The ability to perform analytics on these data, however, is highly limited by the difficulties of collecting labels. Indeed, the machine learning techniques used to perform analytics rely upon data labels to learn and to validate results. Historically, crowdsourcing platforms have been used to …
Image Processing With Dipole-Coupled Nanomagnets: Noise Suppression And Edge Enhancement Detection, Md Ahsanul Abeed, Ayan Kumar Biswas, Mamun Al-Rashid, Jayasimha Atulasimha, Supriyo Bandyopadhyay
Image Processing With Dipole-Coupled Nanomagnets: Noise Suppression And Edge Enhancement Detection, Md Ahsanul Abeed, Ayan Kumar Biswas, Mamun Al-Rashid, Jayasimha Atulasimha, Supriyo Bandyopadhyay
Electrical and Computer Engineering Publications
Hardware-based image processing offers speed and convenience not found in software-centric approaches. Here, we show theoretically that a 2-D periodic array of dipole-coupled elliptical nanomagnets, delineated on a piezoelectric substrate, can act as a dynamical system for specific image processing functions. Each nanomagnet has two stable magnetization states that encode pixel color (black or white). An image containing black and white pixels is first converted to voltage states and then mapped into the magnetization states of a nanomagnet array with magneto-tunneling junctions (MTJs). The same MTJs are employed to read out the processed pixel colors later. Dipole interaction between the …
High-Field Electron Transport In Doped Zno, L. Ardaravičius, O. Kiprijanovič, J. Liberis, M. Ramonas, E. Šermukšnis, A. Matulionis, M. Toporkov, V. Avrutin, Ü. Özgür, H. Morkoç
High-Field Electron Transport In Doped Zno, L. Ardaravičius, O. Kiprijanovič, J. Liberis, M. Ramonas, E. Šermukšnis, A. Matulionis, M. Toporkov, V. Avrutin, Ü. Özgür, H. Morkoç
Electrical and Computer Engineering Publications
Current-voltage characteristics have been measured for ZnO:Ga and Zn:Sb epitaxial layers with electron densities ranging from 1.4x10(17) cm(-3) to 1.1 x 10(20) cm(-3). Two-terminal samples with coplanar electrodes demonstrate virtually ohmic behavior until thermal effects come into play. Soft damage of the samples takes place at high currents. The threshold power (per electron) for the damage is nearly inversely proportional to the electron density over a wide range of electron densities. Pulsed voltage is applied in order to minimize the thermal effects, and thus an average electric field of 150 kV cm(-1) is reached in some samples subjected to 2 …