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Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.
Rail inspection is an important task in railway maintenance. The speed and loads of trains have been increasing greatly in recent years, and these factors inevitably raise the risk of producing rail defects. Mainly the discrete surface defects impact the riding quality and safety of a railway system. However, it is a challenge to inspect such defects in a vision system because of illumination inequality and the variation of reflection property of rail surfaces. This project presents a realtime VIS for discrete surface defects of rail heads. VIS comprises the Image Acquisition Subsystem (IAS) and the image analysis subsystem. IAS acquires gray rail images for the surface of a rail head, and the latter processes rail images and detects possible defects. This paper propose the Local Normalization(LN) method to enhance the distinction between defects and background in a rail image, considering illumination inequality and the variation of reflection property of rail surfaces
The pre-engineered steel building system construction has great advantages to the single storey buildings, practical and efficient alternative to conventional buildings, the System representing one central model within multiple disciplines. Preengineered building creates and maintains in real time multidimensional, data rich views through a project support is currently being implemented by Staad pro software packages for design and engineering.
With the advancement in technology, various options to get latest news updates have increased significantly. News updates are easily available on web. So many users have shifted from traditional newspaper to digital news. This poses serious challenges to news providers where they need to make latest news readily available to user at all instants. Our project deals with similar issues and recommends news providers what exclusive news they are missing when compared to their competitors.
This article discussing about recently launched Google Android platform, and its online application marketplace for Android smart phones. The project examines the paths to success for third-party developers building applications for Android smart phones by comparing them with application development for the Apple iPhone and factors that influencing mobile brand selection while purchasing new mobiles. Research on related topics shows this mobile ecosystem benefits thirdparty developers and those application vendors play a critical role in contributing to the success of Android. In the current scenario most of the youngsters having Android smart phones in their hands, the reason for this development in a short period is usage social media such as face book, twitter and all other applications. Android platforms are simplified the use of social medias and access of it. In this article we can know further about this Android platform and its influence of peer purchase decision
Cloud computing is the apt technology for the decade. It allows user to store large amount of data in cloud storage and use as and when required, from any part of the world, via any terminal equipment. While Cloud services offer flexibility, scalability and economies of scale, there have been commensurate concerns about security. On the similar terms, we have chosen to make use of a combination of authentication technique and key exchange algorithm blended with an encryption algorithm. In this project, we have proposed to make use of 3DES algorithm which is a well-known symmetric cryptosystem and is widely used for secure data transmission, along with that we will blend it with Random Key Generator and Graphical Password to add an extra security measure. This proposed architecture of three way mechanism and the use of symmetric method of encryption make it tough for hackers to crack the security system, thereby protecting data stored in cloud.
Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc., problems. There is usually some uncertainty involved in all multi-attribute model inputs. The objective of this work is to demonstrate how simulation can be used to reflect fuzzy inputs, which allows more complete interpretation of model results. A case study is used to demonstrate the concept of general contractor choice of on the basis of multiple attributes of efficiency with fuzzy inputs applying COPRAS method. The work has concluded that the COPRAS method is appropriate to use.
Introduction. Vitamin D receptor (VDR) gene is recognized as candidate gene for susceptibility to Type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the association between VDR gene polymorphisms and T2DM in Moroccans patients. Materials and Methods. 176 clinically diagnosed T2DM patients and 177 healthy controls from the Moroccans population were recruited. BsmI(rs1544410), FokI(rs10735810) and ApaI (rs7975232) single nucleotide polymorphisms (SNPS) of the VDR gene were determined using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). A Vitamin D level was determined using ELISA. Results. The prevalence of Vitamin D deficiency and insufficiency is significantly higher in patients with T2DM than in the control subjects. There was a strong association between fok1 polymorphisms with T2DM (OR = 0,35, 95% CI = 0.14– 0.83, P = 0.018), while the VDR BsmI and ApaI polymorphisms are not.
- Introduction: Addison's disease is a rare endocrinal disorder, with several oral and systemic manifestations. A variety of pathological processes may cause Addison's disease. Classically, hyperpigmentation is associated with the disease, and intraoral pigmentation is perceived as the initial sign and develops earlier than the dermatological pigmentation. The symptoms of the disease usually progress slowly and an event of illness or accident can make the condition worse and may lead to a life-threatening crisis. In this case, several oral as well as systemic manifestation of the Addison's disease was encountered. A 45 year old male became acutely unwell and had a background of recurrent admissions in past for AGE like illness requiring pressor support and in between had generalized weakness,nausea,weight loss and fatigue. He had an acute diarrhoeal illness which didn’t respond completely to intravenous fluids and antibiotics. In view of patient having such episodes in pas
This paper presents an efficient VLSI architecture for a 4x4 64-QAM multiple-input–multiple-output (MIMO) detector. The augmentation is done by on demand expansion of intermediate nodes of the tree rather than exhaustively, along with pipelined distributed sorters. The proposed architecture has a stable critical path independent of constellation size, scalable to higher number of antennas with efficient distributed sorters. Further, modification will be carried out with the faster multiplication unit to make it scalable to higher number of antennas.