Application of multi sensor data fusion based on Principal Component Analysis and Artificial Neural Network for machine tool thermal monitoring

Due to the various heat sources on a machine tool, there exists a complex temperature distribution across its structure. This causes an inherent thermal hysteresis which is undesirable as it affects the systematic tool –to-workpiece positioning capability. To monitor this, two physical quantities (temperature and strain) are measured at multiple locations. This article is concerned with the use of Principal Component Analysis (PCA) and Artificial Neural Networks (ANN) to fuse this potentially large amount of data from multiple sources. PCA reduces the dimensionality of the data and thus reduces training time for the ANN which is being used for thermal modelling. This paper shows the effect of different levels of data compression and the application of rate of change of sensor values to reduce the effect of system hysteresis. This methodology has been successfully applied to the ram of a 5-axis gantry machine with 90 % correlation to the measured displacement

Improving RFID read rate reliability by a systemic error detection approach

Reliability, security and privacy are the key concerns with RFID (radio frequency identification) adoption. While the mainstream RFID research is focused on solving the security and privacy issues, this paper focuses on addressing the reliability issues in general and detecting read rate failures in particular. We specifically consider the issue of detecting if some RFID tags are not read at all, and if the tags are not read an alarm should be activated. This is quite different from the main stream RFID reliability research which attempts to increase the read rate by developing new and powerful antennas or improving the surrounding environment. To address this issue, we present a novel solution which can detect missed readings and notify appropriate entity to take suitable action against it. The novelty of the proposed solution lies in the combined use of RFID reader along with a normal weighing machine. The concept is to compare the gross weight of the tagged items against the gross weight (of the same items) stored in a backend database. The backed database can only be accessed for those RFID tags which are properly read. If some tags are not read at all these weights would vary and hence incorrect readings could be identified. This paper provides the detailed theoretical foundation for the proposed solution. In addition we compare the proposed solution against existing solutions to demonstrate the success and potential of our solution for practical deployment of RFID in library or supermarket scenario

Analysis of Roller Unit Assembly of Calcination Drum

Solid waste management is posing a great problem as the population is increasing day by day. The municipal sewage waste has to be disposed properly otherwise it will lead to air pollution and cause the serious effects on the health of human beings. The most common practice adopted is generating methane from municipal solid waste. For this purpose it is necessary that the municipal solid waste which is sent for further processing should be in the form of homogenous mass. In order to form the homogenous mass it is necessary that it should be separated in degradable and non degradable. This degradable waste is then converted into fine particles. To achieve this task the engineers have designed a special instrument named Calcination Drum. Usually Calcination Drum is also known as Rotary Kilns. In primary stage when the Calcination Drum was implemented it was found that some problems were encountered. The main aim of this project is to solve the problems related to guide ring and support roller shaft of Calcination Drum. The shaft is redesigned by changing its material and considering all forces acting on it. Similarly the modified fabrication process is also suggested for guide ring. In this paper Analysis of roller shaft, roller and Calcination drum is carried out and the stress and deformation is found out in static and dynamic condition. For theoretical calculations of shaft the standard data is taken from design data book and for guide ring Hertz contact stress theory is used

Real-time public group collaboration using IP multicast label filters

Internet based enterprise level collaboration tools enable organizations to make decisions faster and more accurately with less effort. However, these tools provide limited real-time group collaboration within and across organizations. Multicast protocols were developed to provide efficient group communication. This paper proposes a novel IP multicast network layer filter architecture that provides efficient and scalable real-time group collaboration between the required entities within an organization. This proposed network architecture uses a label filter mechanism to improve scalability and bandwidth for one-to-many and many-to-many real-time collaboration

Performance characterisation of a new photo-microsensor based sensing head for displacement measurement

This paper presents a robust displacement sensor with nanometre-scale resolution over a micrometre range. It is composed of low cost commercially available slotted photo-microsensors (SPMs). The displacement sensor is designed with a particular arrangement of a compact array of SPMs with specially designed shutter assembly and signal processing to significantly reduce sensitivity to ambient light, input voltage variation, circuit electronics drift, etc. The sensor principle and the characterisation results are described in this paper. The proposed prototype sensor has a linear measurement range of 20 μm and resolution of 21 nm. This kind of sensor has several potential applications, including mechanical structural deformation monitoring system

Modeling input validation in UML

Security is an integral part of most software systems but it is not considered as an explicit part in the development process yet. Input validation is the most critical part ofsoftware security that is not covered in the design phase of software development life-cycle resulting in many security vulnerabilities. Our objective is to extend UML to new integrated jramework for model driven security engineering leading to ideal way to design more secure software. Input validation in UML has not been addressed previously, hence we incorporate input validation into UML diagrams such as use case, class, sequence and activity. This approach has some advantages such as preventing jrom common input tampering attacks, having both security and convenience in software at high level of abstraction and ability of solving the problem ofweak security backgroundfor developers

Immunohistochemical and Molecular Detection of pH1N1 in NecropsiedPulmonary Tissues of Fatal Cases with Indeterminate Conventional Testing

The rapid emergence of a novel influenza A/H1N1 virus designated pH1N1 2009 caused one of the fastest pandemics of the twentieth century. The rapid development of an accurate detection test for this pandemic virus using reverse transcription-real time polymerase chain reaction (rRT-PCR) helped in timely diagnosis. In India this pandemic peaked between August to October 2009. The r-RT PCR for pH1N1 2009 was the main diagnostic test used on throat/nasopharyngeal swabs in all cases. While in majority of the cases this test provided reliable confirmation of the virus, it gave negative or indeterminate results in a subset of cases meeting the standard case definition for the pandemic infection and negative for seasonal flu. In the present study we examined 4 such fatal cases where microscopic pathology of the lung was consistent with viral bronchopneumonia for the presence of pH1N1 2009 using r-RT PCR on nucleic acid extracted from the paraffin sections that showed presence of viral antigens by immunohistochemistry. In all 4 cases pH1N1 sequences could be identified. These findings therefore emphasize the important role of microscopic pathology techniques in conjunction with molecular tools in the diagnostic confirmation of novel agents during a public health emergency

Study of Equatorial Plasma Bubbles Using ASI and GPS Systems

The plasma irregularities have been frequently observed in the F-region, at low latitude regions, due to the instability processes occurring in the ionosphere. The depletions in electron density, as compared to the background density, is a signature of the plasma irregularities. These irregularities are also known as the “equatorial plasma bubble” (EPB). These EPBs can measure by the total electron content (TEC) using GPS receiver and by images of the nightglow OI 630.0 nm emissions using all sky imager (ASI). The current chapter is based on the review on the signature of the EPBs in TEC and ASI. measurements. We have also discussed the importance of the study of EPBs

A Comprehensive Review of Sentiment Analysis on Indian Regional Languages: Techniques, Challenges, and Trends

Sentiment analysis (SA) is the process of understanding emotion within a text. It helps identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or neutral. SA is frequently used today as more and more people get a chance to put out their thoughts due to the advent of social media. Sentiment analysis benefits industries around the globe, like finance, advertising, marketing, travel, hospitality, etc. Although the majority of work done in this field is on global languages like English, in recent years, the importance of SA in local languages has also been widely recognized. This has led to considerable research in the analysis of Indian regional languages. This paper comprehensively reviews SA in the following major Indian Regional languages: Marathi, Hindi, Tamil, Telugu, Malayalam, Bengali, Gujarati, and Urdu. Furthermore, this paper presents techniques, challenges, findings, recent research trends, and future scope for enhancing results accuracy