Model Updating of a Full-Scale Building Structure Under Train Induced Vibration

Structure health monitoring (SHM) system is a method of monitoring and evaluation of structural health. Finite element method is extensively use to model the dynamics properties of a structure as it is believed to be an authentic tool for providing accurate results. To adopt a more precise dynamic properties of a structure, model updating technique involve updating a finite element model of a structure. However, due to many imaginary assumptions in the finite element (FE) model generation, the practical behaviour of full-scale structures contradicts the model results. It may be due to uncertain boundary conditions, poorly defined material properties of the structure or because of the simplified modeling of complicated structural systems. In this paper, six storey frame structure building has been investigated for dynamic model updating. The building was subjected to train induced excitation. Four accelerometers were employed to measure the response. Manual updating of building FEM model is carried out as per design parameters of the finite element model (elastic modulus and boundary constraints) to diminish the inconsistencies between the field measurement and the results of finite element model. For the subject building the supposition of semi-rigid joints (rotational area springs) can most precisely depict the dynamic properties of the subject building. The modified parameters obtained from the updated model are logical having meaningful interpretation

ROMP-Derived Alkylating Reagents and Scavengers: Application in Library Development and Sequestration

The overarching goal of this dissertation is the development and utilization of (ring-opening metathesis polymerization) ROMP-derived high load phosphorus- and sulfur-based soluble, silica and magnetic alkylating reagents and scavengers. Chapter one begins with a brief introduction of solid phase and solution phase organic synthesis, and next describes the advances in soluble-, silica- and magnetic-immobilized reagents, with a few applications in flow chemistry. Chapter one also outlines the advances in ROMP technology for the synthesis of polymeric soluble, silica and magnetic materials for use as reagents, scavengers and catalysts. Chapter 2 begins with a brief review of immobilized alkylating reagents and next describes the development and utilization of soluble high load ROMP-derived oligomeric triazole phosphates (OTPn) for the efficient (triazolyl)methylation of nucleophilic species in purification free protocols. Chapter 2 finishes with a description of library efforts using a purification-free route that combines MACOS scale-out and ROMP-derived oligomeric triazole phosphates (OTPn) for the generation of a 106-member library of triazole-containing benzothiaoxazepine-1,1-dioxides. In Chapter 3, the first section describes the use of ROMP technology to aid in the development of high-load hybrid silica oligomeric phosphates based alkylating reagents, and their applications for facile benzylation and (triazolyl)methylating of N-, O- and S-containing nucleophilic species. The surface initiated ROMP reaction of Nb-tagged silica particles and functionalized Nb-tagged monomers efficiently yields high-load, hybrid Si-ROMP benzylating (Si-OBP) and (triazolyl)methylating (Si-OTP) reagents. The second section, describes the application of the developed silica-immobilized alkylating reagents in one-pot sequential protocols for diversification of benzothiaoxazepine-1,1-dioxides analogues. The last section of Chapter 3 outlines the synthesis of high-load, hybrid silica-immobilized heterocyclic benzyl phosphate (Si−OHBP) and triazolyl phosphate (Si−OHTP) alkylating reagents for efficient hetero-benzylation and hetero-(triazolyl)methylation and their application in purification-free protocols, which diversify various nucleophilic species. Chapter 4 describes the development and utilization of recyclable magnetic ROMP-derived alkylating reagents and scavengers, immobilized on Co/C magnetic nanoparticles via surface-initiated ROM polymerization. The first section 4.1 outlines the development and application of a high-load magnetic Co/C ROMP-derived oligomeric benzenesulfonate ester Co/C-OBSEn, as an efficient methylating reagent for a variety of carboxylic acids. In addition, an in situ method of methylation/alkylation was developed using Co/C benzenesulfonyl chloride Co/C-OBSCn and corresponding ROH. The desired alkylated products were isolated by simple magnetic decantation and filtration and the spent byproduct magnetic benzenesulfonic acid Co/C-OBSAn was successfully recycled and re-used up to ten times without considerable loss of magnetic material. Section 4.2 details the synthesis and utilization of high-load hybrid magnetic oligomeric phosphonyl dichloride Co/C-OPCn as an efficient scavenger of amines. The magnetic Co/C-OPCn scavenger is employed in amide formations, sulfonylations and urea formations using a variety of amines (used in excess). The coupling products were isolated by simple magnetic decantation and filtrations of reaction mixture. The spent magnetic scavenger was easily isolated by external magnetic decantation and its regeneration is in progress

Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks

Tables present summarized and structured information to the reader, which makes table structure extraction an important part of document understanding applications. However, table structure identification is a hard problem not only because of the large variation in the table layouts and styles, but also owing to the variations in the page layouts and the noise contamination levels. A lot of research has been done to identify table structure, most of which is based on applying heuristics with the aid of optical character recognition (OCR) to hand pick layout features of the tables. These methods fail to generalize well because of the variations in the table layouts and the errors generated by OCR. In this paper, we have proposed a robust deep learning based approach to extract rows and columns from a detected table in document images with a high precision. In the proposed solution, the table images are first pre-processed and then fed to a bi-directional Recurrent Neural Network with Gated Recurrent Units (GRU) followed by a fully-connected layer with soft max activation. The network scans the images from top-to-bottom as well as left-to-right and classifies each input as either a row-separator or a column-separator. We have benchmarked our system on publicly available UNLV as well as ICDAR 2013 datasets on which it outperformed the state-of-the-art table structure extraction systems by a significant margin.Comment: Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR) 2019, Sydney, Australi

Posterior mediastinal branchial cleft cyst: an unusual site

A two and a half year old Kenyan girl presented with recurrent chest infections and difficulty in swallowing. Her clinical and laboratory workup was suggestive of lower respiratory tract infection for which she received a course of antibiotics; however, she remains symptomatic after the management of her suspected diagnosis. Therefore, further radiological workup including a chest CT scan and barium study were performed. This showed a homogeneous mass surrounded by ascending and descending aorta in the posterior mediastinum that was compressing the middle esophagus. She had a posterolateral thoracotomy which revealed a cystic mass with smooth surfaces (5x5 cm) in the posterior mediastinum. Histopathology showed branchial cleft cyst predominately lined by stratified squamous epithelium, with lymphocytes predominance. A final diagnosis of posterior mediastinal branchial cleft cyst was made. She was discharged home and remained well at follow-up

The missing link in knowledge sharing: the crucial role of supervisor support- moderated mediated model

Purpose The purpose of current study was to investigate the impact of supervisor support on Knowledge Sharing Behavior through psychological well-being, psychological ownership, and Alturism. The study also took mindfulness as first path moderator in the relation to supervisor support and psychological well-being, and psychological ownership. Design/methodology/approach Positivism research philosophy followed by the deductive approach is followed to meet the objectives of the current study. A total of 219 employees from the telecom sector were identified as the respondents of the study. A purposive sampling technique was used to collect the data through self-administrated questionnaires. Exploratory and confirmatory factor analyses were used through AMOS to generate the results and test hypotheses. Findings The results suggested that supervisor support significantly contributes to the achievement of the knowledge-sharing behavior of employees with the chain of mediation, i.e. psychological well-being, ownership and altruism. Similarly, the moderating role of mindfulness is significant in the relationship between supervisor support and psychological well-being. Originality/value Although a number of researchers have studied the link between supervisor support and other employees related attitudinal and behavioral outcomes, few have explored the roles of psychological ownership, well-being and altruism in the relationship of knowledge sharing behavior. This study thus posits a novel sequential mediation and moderation mechanism, based on the social exchange theory, through which supervisor support is translated into knowledge sharing behavior

Intramolecular monomer-on-monomer (MoM) mitsunobu cyclization for the synthesis of benzofused thiadiazepine-dioxides

The utilization of a monomer-on-monomer (MoM) intramolecular Mitsunobu cyclization reaction employing norbornenyl-tagged (Nb-tagged) reagents is reported for the synthesis of benzofused thiadiazepine-dioxides. Facile purification was achieved via ring-opening metathesis (ROM) polymerization initiated by one of three metathesis catalyst methods: (i) free metathesis catalyst, (ii) surface-initiated catalyst-armed silica, or (iii) surface-initiated catalyst-armed Co/C magnetic nanoparticles

Concepts of Safety Critical Systems Unification Approach & Security Assurance Process

The security assurance of computer-based systems that rely on safety and security assurance, such as consistency, durability, efficiency and accessibility, require or need resources. This targets the System-of-Systems (SoS) problems with the exception of difficulties and concerns that apply similarly to subsystem interactions on a single system and system-as-component interactions on a large information system. This research addresses security and information assurance for safety-critical systems, where security and safety are addressed before going to actual implementation/development phase for component-based systems. For this purpose, require a conceptual idea or strategy that deals with the application logic security assurance issues. This may explore the vulnerability in single component or a reuse of specification in existing logic in component-based system. Keeping in view this situation, we have defined seven concepts of security assurance and security assurance design strategy for safety-critical systems

Steering Angle Prediction Techniques for Autonomous Ground Vehicles: A Review

Unintentional lane departure accidents are one of the biggest reasons for the causalities that occur due to human errors. By incorporating lane-keeping features in vehicles, many accidents can be avoided. The lane-keeping system operates by auto-steering the vehicle in order to keep it within the desired lane, despite of changes in road conditions and other interferences. Accurate steering angle prediction is crucial to keep the vehicle within the road boundaries, which is a challenging task. The main difficulty in this regard is to identify the drivable road area on heterogeneous road types varying in color, texture, illumination conditions, and lane marking types. This strenuous problem can be addressed by two approaches, namely, 'computer-vision-based approach' and 'imitation-learning-based approach'. To the best of our knowledge, at present, there is no such detailed review study covering both the approaches and their related optimization techniques. This comprehensive review attempts to provide a clear picture of both approaches of steering angle prediction in the form of step by step procedures. The taxonomy of steering angle prediction has been presented in the paper for a better comprehension of the problem. We have also discussed open research problems at the end of the paper to help the researchers of this area to discover new research horizons

“Click”-Capture, ROMP, Release: Facile Triazolation Utilizing ROMP-derived Oligomeric Phosphates

Soluble, high-load ROMP-derived oligomeric triazole phosphates (OTP) are reported for application as efficient triazolating reagents of nucleophilic species. Utilizing a “Click”-capture, ROMP, release protocol, the efficient and purification free, direct triazolation of N-, O- and S-nucleophilic species was successfully achieved. A variety of OTP derivatives were rapidly synthesized as free-flowing solids on multi-gram scale from commercially available materials

Intramolecular monomer-on-monomer (MoM) Mitsunobu cyclization for the synthesis of benzofused thiadiazepine-dioxides

The utilization of a monomer-on-monomer (MoM) intramolecular Mitsunobu cyclization reaction employing norbornenyl-tagged (Nb-tagged) reagents is reported for the synthesis of benzofused thiadiazepine-dioxides. Facile purification was achieved viaring-opening metathesis (ROM) polymerization initiated by one of three metathesis catalyst methods: (i) free metathesis catalyst, (ii) surface-initiated catalyst-armed silica, or (iii) surface-initiated catalyst-armed Co/C magnetic nanoparticles