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To quantitatively discover the protein sub-cellular translocation pattern which responds to drugs' treatment doses is a challenge for medical applications with bio-imaging and machine learning on the Single-channel Protein Sub-cellular Location Fluorescence Images without segmentation. This paper suggested a Linear Classification Approach to model the Early Cellular Responses Induced by Drugs. Based...
Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy. This paper introduces word-based accuracy as well as character accuracy metrics to evaluate and to compare the performance...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computational tool (LabVIEW) to interpret human thought such as moving forward, backward, turn right, turn left and to stop. This study is conducted to assist the disable people to communicate with external environment. The EEG signals are captured using wireless EEG amplifier while the subject in relax conditioin...
This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in...
Data stored in educational database is increasing day by day. Data mining algorithms can be used to find hidden patterns from the student's database. These patterns can be used to find academic performance of students. The main aim of this study was to determine factors that influence the student's performance. This paper proposes Generalized Sequential Pattern mining algorithm for finding frequent...
Good performance of pedestrian detection in an automatic driving system is a necessary task. Many pedestrian detection algorithm use Histogram Oriented Gradient (HOG) for feature extraction and Support Vector Machine (SVM) for classification. Some papers use additional features with HOG, such as Local Binary Pattern (HOG-LBP), to improve the performance. Neural Network and Extreme Learning Machine...
Pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate the performance of illumination levels for infant pain classification. Single Scale Self Quotient Image (SSQ) and discrete Cosine Transform (DCT) features are computed with Probalistic...
Video surveillance system is an important system to monitor safety and security for public place. Unfortunately, most of them do not have additional. In this paper, we have proposed an algorithm for detect human aggressive behavior by using Microsoft Kinect sensor. In our proposed algorithm, Cartesian coordinate formula is used for calculate position of body joints detected by Microsoft Kinect sensor...
Recognizing textual entailment (RTE) is a task that predict whether a text fragment can be inferred from another text fragment. In this paper, we tackle RTE problem using sentence extraction to cover semantic variation and then extracting subject, predicate and object from each sentence without using external resources like Wordnet. Finally, similarity function is used to predict entailment relation...
Security is a major challenge in Opportunistic Networks (OppNets) due to its characteristics of being an open medium with dynamic topology, there is neither a centralized management nor clear lines of defence. A packet dropping attack is one of the major security threats in OppNets as neither source nodes nor destination nodes have any knowledge of when or where a packet will be dropped. In this paper,...
This paper addresses two contributions for improving the accuracy and speed of preceding car detection systems. First, it proposes a feature description using Scalable Histogram of Oriented Gradient (SHOG) to solve scale problem of car region on the image. Without resizing the images to a fixed size, it is capable to extract a high-discriminated features with on the same feature space. Second, instead...
Watersheds in hilly terrain are prone to severe erosion due to surface runoff, steep slopes and undulating topography. Kynshi watershed, situated in west Khasi Hills district of Meghalaya in India, is vulnerable to soil erosion due to heavy rainfall, its high elevation and undulating terrain. However, the area is covered with dense to moderate forest which may act as deterrent to erosion. This study...
Segmentation of the foreground objects is the primary step in many video analysis applications. The accuracy of the segmentation is dependent on an accurate background image that is used for background subtraction. The Teknomo-Fernandez (TF) algorithm is an efficient algorithm that quickly generates a good background image. A previous study showed the extendibility of the TF algorithm to higher number...
This paper presents aggregation behavior algorithm that will be applied for unmanned aerial vehicle quadrotors (QUAV). The most basic behavior for natural swarms is aggregation. Other swarm or social behaviors are derived from the aggregation behavior. Due to the concept of independence, each swarm members are required to collect themselves together to perform a certain task. However the swarm faces...
Effective in-vehicle icons are used to convey quick and complete understanding of information to drivers for safe driving; however, misunderstood icons may result to worse. Former studies were able to point out the ineffectiveness (in terms of matching accuracy) of non-ISO vehicle icons. This study was conducted to fill in the gap in literature that addresses the need for redesigning ineffective non-ISO...
This paper presents an efficient VLSI implementation of a singular value decomposition (SVD) processor of on-line recursive independent component analysis (ORICA) for use in a real-time electroencephalography (EEG) system. ICA is a well-known method for blind source separation (BBS), which helps to obtain clear EEG signals without artifacts. In general, computations of ORICA are complicated and the...
As the use of Electronic Medical Records (EMRs) becomes widespread, the amount of data in an EMR becomes a challenge for its comprehension. We developed problem-oriented EMR summarization to address this issue, as a part of a larger effort of adapting IBM Watson to the medical domain. The problem-orientation refers to the central role of a patient's medical problems in the summary. The summarization...
The goal of this paper is to find an answer that how remote monitoring sensor should be accurate. To achieve the goal, we propose three methods, generalization by three-actor model, design the algorithm of the three-actor and development of RMS simulator. With the three-actor model, we can generalize RMS by interactions among three actors. As the second step, we design the algorithms that how to work...
Culturally, philosophically and religiously diverse medical systems including Western medicine, Traditional Chinese Medicine, Ayurvedic Medicine and Homeopathic Medicine, once situated in places and times relatively unconnected from each other, currently co-exist to a point where patients must choose which system to consult. These decisions require comparative analyses, yet the divergence in key underpinning...
Stress affects people's health and well-being of the world's economies. Despite the progress in physiological stress recognition, there are problems that require solutions in the creation of automated systems of stress determination in prolonged real-life situations. These tasks are analysis of stress in daily life, during physical activity and personalization of this analysis. We described these...
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