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Recently, computer-aided celiac disease diagnosis has been promoted to provide an objective opinion besides histological examination of biopsies and visual assessment of macroscopic mucosal tissue. State-of-the-art techniques, however, are not accurate enough to provide incentive for clinical deployment. In this work, we answer two questions: Do computers and human experts make similar classification...
Stochastic computing using simple logic circuits requires significantly less area and consumes less power compared to traditional computing systems. These circuits are also inherently fault-tolerant. The main drawbacks of these systems include long latency and inexactness in computing. The deviation from exact values increases as the correlation among inputs increases. In many applications, outputs...
There are different opinions on the names and quantity of semantic roles. In order to analyze the deep meaning of human language, we did two parts of tasks based on Chinese Semantic Dependency Graph Bank, which is a corpus analyzed by semantic dependency graph (SDG). After calculating the frequency of each role, we normalized the roles' names and distinguished the differences between each other. There...
One of the main challenges of current person recognition techniques lies on difficulties of recognition in various poses. Recently, attention has been focused on using soft biometric information extracted from the human body to overcome the biometric recognition system's limitation in unconstrained environments. In this paper, we integrate the face and body information in a linear combination. We...
Beyond engaging students in the classroom, keeping them motivated and maintaining their identification with engineering has become a well-known challenge, particularly among underrepresented minority groups. Numerous methods have been utilized within the field including the use of more active pedagogy and course designs to combat this challenge. This study will employ a well-defined model of academic...
In this paper, we present a generic model to enrich user profiles by means of contextual and temporal information. This reflecting the current interests of these users in every period of time defined by a search session, and infers data freshness. We argue that the annotation of resources gives more transparency on users' needs. Based on this idea, we integrate social tagging in order to exploit part...
The paper deals with a mathematical model for airplanes' longitudinal movement during the approach-stage of the landing. One has described an aerodynamic decelerated approach and has established the correlation between airplane's flight commands and thrust level (engines' commands). Airplane's command law was issued (a common law, for rudder and throttle positions), according to the approach law,...
With fashion industry included e-commerce (worldwide) is expected to hit the $35 billion mark by 2020. There's a need for applications which help the user in making intelligent decisions on their day to day online purchases. In this paper, our aim is to build a system that would be able to understand fashion and the user to provide personalized clothing recommendations to the user. Our approach includes...
Intrusion Detection Systems is one of the most useful tools which are used nowadays to identify the attacks happening on the network. But the high false positive and false negative rates are major limitations in Intrusion detection System. To overcome these limitations new techniques should be introduced. In our research we used Ontology in Intrusion Detection System. As Ontology describes the semantic...
Nowadays large portion of web-based businesses, research projects, and scientist use recommendation systems to help their business to thrive & flourish. Standard recommendation system utilises either user CF, item CF or content based recommendation system, these furthermore confront issues like item cold start, user cold start and real-time prediction problem. In the perspective of these challenges,...
The purpose of this study is to investigate the intention to use the cloud sphygmomanometer in Taiwan. This study also aims at providing suggestions on the popularization of cloud medical services. This study was established in a way that the model constructs in Technology Acceptance Model (TAM) were adapted to the context of cloud sphygmomanometer application in health management. Scale items on...
Structural analysis of networks has attracted a lot of attention from researchers. While previous studies have devised structural indices for quantitatively describing network structures, they mostly focus on specific structural characteristics and the structural information provided by them is often fragmental. This paper proposes methods for representing and analyzing structural characteristics...
Present study constructed a set of computer tests to measure inhibitory control, a core component of executive function, which is responsible for suppressing irrelevant automatic responses to promote consciously goal-directed behaviour. In accordance with our previous study, the battery test was adapted to an artificially cognitive system in form of computer-based application compatible to android...
Monitoring cognitive workload from speech signals has received a lot of attention from researchers in the past few years as it has the potential to improve performance and fidelity in human decision making. The bulk of the research has focused on classifying speech from talkers participating in cognitive workload experiments using simple reading tasks, memory span tests and the Stroop test, typically...
In the context of games for learning, it is argued that taking individual differences among players into consideration during game design can be beneficial for the game and/or learning experience. Researchers have studied a variety of factors that can be used for taking individual differences among players into consideration. Although research work indicates that the intelligence levels according...
As technology has advanced nowadays, it is common for a system to be optimized under more than one objective function, which leads to inconclusive results if two contradictory objectives exist. Traditional approaches suggest a simple aggregation of multiple objectives into one via a linear combination, but it is hard to justify the weights quantitatively. This paper proposes a systematic therapy to...
In order to reduce decision rule effectively, a decision rule reduction method based on core value and a decision rule prioritizing method were provided. The results show that effective decision rule reduction can be gotten through above methods and all of these help to improve decision ability.
This study investigated the impact of technology-generated listening environments upon processing of cognitive information. The main question asked was: To what extent does background sound impact accuracy on a cognitive task? A total of 217 museum-goers (127 f, 90 m) completed a language categorization task in four different listening environments: rain sounds, fast music, calm music, and silence...
This study conducted a preliminary investigation on the correlations between learners' EEG-based workload and their self-reported cognitive load in a multimedia learning context. An experiment including two learning tasks was conducted with 15 graduate students. The NeuroSky brainwave headset was used to collect participants' electroencephalography (EEG) data and using the theta/alpha ratio as brain...
Increasing speed of digital equipment moves the electromagnetic compatibility (EMC) studies into a new point due to their broadband radiated emission characteristics. Beside preventing interception from electromagnetic radiation, it is desirable to identify the information source from the radiated emissions. In this paper, we analyzed the sources of the differences among LCD emanations by checking...
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