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Road network in one of the key feature which is used in remote sensing. Many automated methods have been developed in past which are able to detect roads from high resolution satellite (HRS) images. In this study, a cognitive based method is used for detecting road network from HRS images. Cognitive task analysis (CTA) consists of five different stages which are integrated with the nearest neighbour...
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...
An effective method for highlight generation from basketball sports videos is proposed in this paper. Video shot classification is done which classify video into three categories that is close-up view, far view and replay. For close-up and far view detection we have proposed the feature based on the percentage of edge pixels to classify the frame into Far or close-up view. A pair of logos determines...
Plagiarism is becoming a serious problem for intellectual community. The detection of plagiarism at various levels is a major issue. The complexity of the problem increases when we are finding the plagiarism in the source codes that may be in the same language or they have been transformed into other languages. This type of plagiarism is found not only in the academic works but also in the industries...
BCI (Brain Computer Interface) can act as permanent solution and new approach of communication through which subject can communicate with the system and can directly control devices which maximizes the capability of individual. As BCI does not require for any exterior muscular activity, there it develops a possibility for a device to be regulated by the human brain (waves) by Brain Computer Interface...
It is important to provide detailed and instructive feedback in computer assisted pronunciation training (CAPT) system. However the feedback is limited to the accuracy of the erroneous tendency detection. This paper proposed to apply senone log-likelihood ratio based articulatory features (AFs) to improve pronunciation erroneous tendency (PET) detection performance. Also the feedback information of...
A brain-computer interface (BCI) can operate a computer by analyzing electroencephalogram data. A BCI does not require body motion; therefore, the physically handicapped, such as those who suffer from amyotrophic lateral sclerosis (ALS), can also operate a computer. However, with ALS patients, attaching electrodes requires significant time and effort. In this study, we examine the number and arrangement...
We collect environmental information through our sensory organs, perceive them suitably to execute the task in hand. Examples of such tasks are abundant, like driving, operating machines, playing games, hunting, or mushroom picking on mountains. While executing such tasks, there is a marked difference in efficiency and accuracy between an expert and a novice. An expert is attentive to only what is...
Motor imagery brain-computer interfaces (MIBCI) use hand or foot MI to control computers. However, MIBCI control accuracy is low. Previously, we determined that using max power in the mu band method, i.e., the peak trace method (PTM), improves event-related desynchronization (ERD) detection accuracy. Control accuracy may be improved by improving ERD detection accuracy in an MIBCI. In this study, we...
This paper presents a data-driven approach towards the modeling of agent behaviors in a full-fledged, commercial off-the-shelf simulation milieu for tactical military training. The modeling approach employs machine learning to identify behavioral rules and patterns in data. Potential advantages of this approach are that it may improve modeling efficiency and, perhaps more importantly, increase the...
Haptic interaction is a form of a user-computer interaction where physical forces are delivered to the user via vibrations, displacements and rotations of special haptic devices. When quality of the experience of the haptic interaction is assessed, mostly subjective tests using various questionnaires are performed. We proposed novel neurocognitive tools for assessing both overall experience of the...
Due to the increasing complexity and huge number of uncontrolled operational factors in manufacturing, the produced product usually comes with an exceptional high infant failure rate, and the root cause identification of product infant failure has been a very challenging issue for manufacturers. Especially in the era of big data, the large number of data could be collected from the product life cycle...
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...
The decomposition compound analysis of SF6 in GIS is an effective method to diagnose the partial discharge (PD) caused by the insulation defect. Creeping discharge on solid insulator is a major kind of fault in gas insulated switchgear. It is significant to develop the research on the decomposition characteristics of SF6 under creeping discharge on solid insulator. SF6 decomposition was investigated...
The paper proposes a framework for recognizing hand gesture which would serve not only as a way of communication between deaf and dumb and mute people, but also, as an instructor. Deaf and dumb individuals lack in proper communication with normal people and find it difficult to properly express themselves. Thus, they are subjected to face many issues in this regard. The sign language is very popular...
The purpose of this work is to evaluate possible minimisation of the time needed for expansion of the scope of a CNN (convolutional neural network) classifier without the need to fully re-train it. We investigate the effects of applying k-NN (k-Nearest Neighbours) based classification and transfer learning (via fine-tuning) for the purpose of adding new classes to an existing deep convolutional neural...
The emergence of social media platforms has provided voluminous amounts of opinionated data. As businesses look to understand and exploit these variegated means of online expression, it has become necessary to automate the process of detecting the panorama of underlying themes. A challenging task is to detect the gradual transitions of context that occur within a text. In this work, we introduce an...
We present a novel approach for abnormal breast mass classification from digitized mammography images. The proposed framework exploits rotation invariant uniform Local Binary Pattern (LBP) as texture feature. These features are classified using Support Vector Machine (SVM). In addition, we take advantage of the breast mammograms taken from multiple views or angles. We classify breast scans from ‘cranial-caudal’...
Community question answering (CQA) is a popular online service for people to ask and answer questions. But along with the increasing of user generating contents, the quality of answers provided by different users varies widely. So the quality of the answer caused wide attention. In this paper, we propose an answer quality prediction model to evaluate the answer quality considering both aspects of...
The level of computer programs has now reached professional strength for many games, even for the game of Go recently. A more difficult task for computer intelligence now is to create a program able to coach human players, so that they can improve their play. In this paper, we propose a method to detect and label the bad moves of human players for the game of Go. This task is challenging because even...
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