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Event-driven based traffic consideration in Wireless Sensor network (WSN) is a new area of research in the field of WSN. A few media access control (MAC) protocol has been proposed to handle the variety of both light and heavy traffic load situation such as RC-MAC which allows switching of modes to handle different traffic loads. In RC-MAC, nodes consume extra energy to stay awake like Receiver Initiated...
Breast cancer, which develops from breast tissue, is one of the crucial health issues in the world today. Breast cancer is one of the most widespread cancers in women globally, accounting for 25% of all cases. The most common symptoms of this cancer is noticing a lump that is different from typical breast tissue, and in more than 80% cases, women can feel such lumps by themselves. The world health...
Cell division is one of the most fundamental processes of life where the mother cell completely reorganizes its shape to support the partitioning of genetic information and the formation of two identical daughter cells. During this morphological transformation a large number of essential proteins have to carry out their function at specific times and subcellular locations to complete the division...
In this paper, we draw attention to the emerging field of smart material interfaces. These novel composites that in some cases are already celebrated as the answer for the 21stcentury's technological needs, are generally referred to as materials that are capable of sensing the environment and actively responding to environmental changes by changing their physical properties. Smart materials have physical...
Multi-modal imaging system has emerged as a potential diagnostic tool to address multi-centered information (anatomic, metabolic, etc.) of the disease of interest which is, till now, quite impossible by any one modality alone. Combined positron emission tomography (PET) and X-ray computed tomography (CT) (PET/CT) or single-photon emission CT (SPECT) and X-ray CT (SPECT/CT) as multimodal imaging tools...
Human related analysis has been an active research field for its wide applications. With the advancement in sensing system and computing technologies, many methods have been explored for human motion analysis in the wild, especially human action, facial and gaze analysis. Although the majority of this research has been conducted on 2D images, there are significantly increasing demands for static and...
The talk has two parts. In the first part, the concept of granulation and granular computing is explained. The role of rough sets in uncertainty handling and granular computing is highlighted. Relevance of its integration with fuzzy sets to result in a stronger paradigm for uncertainty handling is stated, followed by the definitions of generalized rough sets and rough-fuzzy entropy in this context.
Method placement is one of the most important design activities in any object oriented application. Recommendation of move method refactorings plays a significant role through grouping similar behavior of methods. It is also used as a refactoring technique of feature envy code smell by placing methods into correct classes from the incorrect ones. Due to this code smell, an application will be tightly...
Approaches such as increasing the number of intermediate stages are introduced to increase the reliability and throughput of Multistage Interconnection Networks (MINs). However, they mainly try to change the network architecture to achieve the goal of having more reliable network. When multiple sources in such a network try to send data, collision of packets and blocking problems are inevitable. Using...
Exposure of the general public to low-level RF fields causes direct or indirect coupling of the fields in the human body. Due to this coupling, there is an induction of the fields inside the body tissue that causes currents in the tissue while the tissue absorbs RF power. In this work, the RF absorption by a biological tissue was measured by using an antenna trainer in a laboratory set up by varying...
Early and efficient fault diagnosis of bearing of industrial motor is a modern demand for reducing unexpected breakdown of industrial process. Extracting the intrinsic fault signature in very early stage is important. In this point of view, this paper proposes a fault diagnosis model of industrial bearing including efficient fault signature extraction technique based on narrow band frequency domain...
In this paper, we present an intelligent system where agents can co-ordinate creative tasks through machine learning and cooperation. For machine learning, we used commonly used pattern recognition algorithm - Principal Component Analysis (PCA). Based on recognition, we plan a task that is performed by multiple intelligent agents. In our case, task is to draw a pattern or perform a creative art by...
This paper presents a gas sensor based on octagonal geometric structured hollow core photonic crystal Fiber. We have studied the optical properties of the proposed PCF numerically by full vector finite element method (FEM) using COMSOL Multiphysics. The octagonal lattice of the hollow core PCF has been optimized to obtain better relative sensitivity and low confinement loss. We have acquired the maximum...
In this paper we draw attention to the emerging field of smart material interfaces. These novel composites, that in some cases are already celebrated as the answer for the 21st century's technological needs, are generally referred to as materials that are capable of sensing the environment and actively responding to environmental changes by changing their physical properties. Smart materials have...
News articles in web narrate important events happening worldwide. These articles are not only written in English, but also in different languages for different native people. In this paper, we propose an approach for an automated Bengali-English semantic recommender system based on ontology by analyzing news domain. News ontology is designed automatically by using information extraction techniques...
Robustness analysis of dynamic system is one of the major research concerns in present times. Among many features, lane keeping of ground vehicle has caught the attention of researchers for its immense need in the passenger cars to avoid accidents and congestion. In this paper, robustness analysis of a mathematical model of ground vehicle along with a model predictive controller is simulated. The...
A system for monitoring patients for the cold sweat symptom and giving instant signal if they break into sweat has been proposed in this work. A method was devised to create such a system for indicating profuse perspiration by continuous monitoring of Galvanic Skin Resistance. For this purpose a circuit was designed, an algorithm was created and certain steps were followed towards achieving the goal...
Feature selection and discretization have been considered to be an important research topic in the field of pattern recognition and data mining. However, addressing both these issues at a time is rarely discussed in the existing research. In this paper, these issues have been addressed by developing a heuristic namely discretization and selection of features based on mutual information (DSM). Experimental...
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