Performance Evaluation of ALOHA-CS MAC Protocol

The main task of a MAC protocol is to prevent simultaneous transmissions or resolve transmission collisions of data packets while providing energy efficiency, low channel access delays and fairness among the nodes in a network [1]. The Aloha protocol is a fully decentralized medium access control protocol. This protocol was introduced to improve the utilization of the shared medium by synchronizing the transmission of devices. The performance of the Carrier sense Pure ALOHA is evaluated in this paper on the basis of throughout of the system and the average number of retransmission needed for the successful transmission of a packet. Performance criteria are analyzed with change of offered load of the system. The simulation is a Monte Carlo based one on the MATLAB platform

An Economic and Modern Business Intelligence Solution for Textile Industries in Bangladesh

Textile Industries are doing most promising business in Bangladesh from last few years. We are already in top five garments exporting country list and the demand of our garments product is increasing day by day both in our country and outside the country. Because of increasing demand of this sector textile industries are also growing very fast in number. To meet the end users demand now textile industries have to compete with the quality of others so that they can satisfy the need of different users of garments product. Analyzing user mind is really a tough task to grow the textile business with latest trend and mode of new generations. Business Analytics can make this tough task very easy by analyzing different sales report with different perspectives. To meet the new trend and demand of new generation, proposed business analytics setup of different technologies is much better for the textile industries compared to existing systems used in Bangladesh. Textile industries can use this solution by collecting data from their different sales point for better production policy which will satisfy the end user of the textile product as well as enhance the textile business

Human resident gut microbe Bacteroides thetaiotaomicron regulates colonic neuronal innervation and neurogenic function

BACKGROUND AND AIMS: As the importance of gut-brain interactions increases, understanding how specific gut microbes interact with the enteric nervous system (ENS), which is the first point of neuronal exposure becomes critical. Our aim was to understand how the dominant human gut bacterium Bacteroides thetaiotaomicron (Bt) regulates anatomical and functional characteristics of the ENS. METHODS: Neuronal cell populations, as well as enteroendocrine cells, were assessed in proximal colonic sections using fluorescent immunohistochemistry in specific pathogen-free (SPF), germ-free (GF) and Bt conventionalized-germ-free mice (Bt-CONV). RNA expression of tight junction proteins and toll-like receptors (TLR) were measured using qPCR. Colonic motility was analyzed using in vitro colonic manometry. RESULTS: Decreased neuronal and vagal afferent innervation observed in GF mice was normalized by Bt-CONV with increased neuronal staining in mucosa and myenteric plexus. Bt-CONV also restored expression of nitric oxide synthase expressing inhibitory neurons and of choline acetyltransferase and substance P expressing excitatory motor neurons comparable to those of SPF mice. Neurite outgrowth and glial cells were upregulated by Bt-CONV. RNA expression of tight junction protein claudin 3 was downregulated while TLR2 was upregulated by Bt-CONV. The enteroendocrine cell subtypes L-cells and enterochromaffin cells were reduced in GF mice, with Bt-CONV restoring L-cell numbers. Motility as measured by colonic migrating motor complexes (CMMCs) increased in GF and Bt-CONV. CONCLUSION: Bt, common gut bacteria, is critical in regulating enteric neuronal and enteroendocrine cell populations, and neurogenic colonic activity. This highlights the potential use of this resident gut bacteria for maintaining healthy gut function

Quad core gold coated photonic crystal fiber temperature sensor based on surface plasmon resonance

This paper shows a simple quad core Photonic Crystal Fiber (PCF) temperature sensor based on Surface Plasmon Resonance (SPR) which has very high sensitivity and sensor resolution. For evaluating the sensing performance Finite Element Method (FEM) is used. In this design, gold is used as plasmonic material and the outer layer of the designed PCF has to be filled by it for making the fabrication easier than any other model. Besides, the Chloroform is used as the temperature sensitive liquid (analyte). The designed temperature sensor has the maximum wavelength sensitivities which are 7.5 nm/°C and 10.5 nm/°C for x and y-polarization respectively. The sensor shows the resolution of 13.33 × 10−3 RIU for x-polarization and 9.52 × 10−3 RIU for y-polarization. Core diameter, radius of air hole, thickness of gold and pitch are the structural parameters which are adjusted to their optimized value for getting higher sensitivity. Easy fabrication and simplicity are the major aspects of this proposed model which makes it applicable to various applications such as medical science, power plant, engineering sector, environment monitoring etc