217 research outputs found

    Using Predictive Maintenance techniques and Business Intelligence to develop smarter factory systems for the digital age

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    The aim of the project is to increase the productivity of Danfoss’ assembly lines across the manufacturing facility at Ames, Iowa by continuously monitoring the performance with the help of a real-time tracking tool. The efficiency of the employees at each of the stations in the assembly lines, the time taken to procure the products or parts, the test time and the paint time, all impact the performance and production rate within the facility. Also, keeping few attributes constant, the time taken for the machines to pass a particular station within an assembly line determines the health of the assembly line and requires continuous monitoring. Minute errors on the assembly lines could stall production for hours resulting in an immense loss to the giant manufacturing companies like Danfoss. Therefore, the project is about implementing an algorithm that will monitor both the number of workers per shift per day at the assembly lines and the status of the machines on the line as they pass through each station on the assembly lines. On the other hand, a user-interactive dashboard allowsthe workers to monitor their progress versus the expected progress for the day. The live dashboard is scalable to other Danfoss assembly lines as a daily monitoring syste

    A Survey on Block Matching Algorithms for Video Coding

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    Block matching algorithm (BMA) for motion estimation (ME) is the heart to many motion-compensated video-coding techniques/standards, such as ISO MPEG-1/2/4 and ITU-T H.261/262/263/264/265, to reduce the temporal redundancy between different frames. During the last three decades, hundreds of fast block matching algorithms have been proposed. The shape and size of search patterns in motion estimation will influence more on the searching speed and quality of performance. This article provides an overview of the famous block matching algorithms and compares their computational complexity and motion prediction quality

    Vehicular Inter-Networking via Named Data

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    In this paper we apply the Named Data Networking, a newly proposed Internet architecture, to networking vehicles on the run. Our initial design, dubbed V-NDN, illustrates NDN's promising potential in providing a unifying architecture that enables networking among all computing devices independent from whether they are connected through wired infrastructure, ad hoc, or intermittent DTN. This paper describes the prototype implementation of V-NDN and its preliminary performance assessment

    The Abundant User Verification and Authentication for Ensured Internet Services

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    In These days, it turn out to be an open concern to give superior security to web services. In this way, secure user authentication is the principal assignment in security frameworks. Generally, the vast majority of the frameworks depend on sets of username and password which verifies the identity of user just at login stage. Once the user is related to username and password, no checks are performed encourage amid working sessions We investigate the nonstop user verification for the protected web services utilizing biometrics in the session service No checks are performed amid working sessions, which are terminated by an express logout or lapse after a sit action time of the user However a solitary verification step is still esteemed adequate, and the identity of a user is viewed as permanent amid the whole session. Also, the static length of the session timeout may effect on the ease of use of the service and ensuing customer fulfillment. This paper investigates promising choices offered by applying biometrics in the service of sessions. A safe convention is characterized for interminable authentication through persistent user verification. At last, the utilization of biometric authentication enables accreditations to be procured straightforwardly i.e. without unequivocally advising the user or requiring his association, which is basic to ensure better service ease of use

    Series voltage regulator for radial DC-microgrid

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    The concept of a novel series voltage regulator (SVR) for controlling the dc-bus voltage of a radial dc microgrid is presented in this paper. The proposed SVR uses a dual-active-bridge dc-dc converter followed by a full-bridge dc-dc converter. It injects dynamic voltage in series with the dc grid to compensate resistive drop over the network. As a result, the voltage level at the different points of the grid becomes independent of load variation and stays within the specified limit. Note that the required power rating of the SVR is very low (say 2.7%) compared to the load demand considering 5% voltage regulation. In this paper, the voltage regulator is connected at the midpoint of the grid, but it may be connected in some other locations to get optimal rating of the same. The proposed configuration is simulated in MATLAB/SIMULINK at a 380-V level to check the dynamic performance under various operating conditions. A scaled-down version (at 30-V level) of the proposed system is developed in the laboratory to experimentally validate the concept. The results show the effectiveness of such a voltage regulator for the radial dc microgrid, especially under critical load condition

    Post-operative infections and obstacles to care for pediatric cardiac surgery patients in Hyderabad, India

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    BACKGROUND: In India, an estimated 200,000 congenital heart defects are diagnosed each year but only 50 pediatric cardiac health centers exist with capacity to perform pediatric cardiac surgeries (PCS). Majority of the centers are private and have high cost of care. Hrudaya Foundation, a non-profit, was started to cover in-hospital costs of pediatric cardiac surgery for poor families. For the study, risk factors of post-operative infection (major outcome of PCS) were evaluated and gaps in care faced by Hrudaya Foundation patients were identified. METHODS: To identify risk factors associated with POI, retrospective cohort study was conducted. Medical records and foundation notes of 1028 interventional CATH and open heart surgery patients were examined. Chisq tests and logistic regressions on socio-economic and clinical factors were run to identify risk factors of POI for open heart surgery patients. The study also tested associations of patients’ community characteristics with pre-operative conditions and POI, like lack of access to improved latrines, distance to hospital, under & unemployment rate, and maternal illiteracy rates. To identify gaps in care, the study collected and analyzed interviews with 11 staff and 27 parents. The semi-structured interviews focused on care pathway from birth to post-discharge follow-up, financial obstacles, and an asset assessment. RESULTS: Pediatric open heart surgery patients had a 19% post-operative infection rate and a 5% mortality rate. Post-operative infections were significantly associated with age of 12 months and under, severely underweight, history of prior cardiac intervention, high risk surgery (RACHS-1 score 3 & 4), delayed sternal closure, and re-operation within same admission when the other risk factors were kept constant. POI did not have a statistically significant correlation with community level characteristics. The study found several gaps in care. Parents had difficulty getting a referral to affordable specialty cardiac care after diagnosis. Even after a referral to Hrudaya Foundation, parents still had to borrow large sums of money due to travel, lodging, and follow-up expenses. Financial constraints created barriers to maintain wellness before and after intervention. Most parents did not have consistent income and they were not aware of many assets in their communities. CONCLUSION: Patients with significant risk factors for POI should have more aggressive infection management. Though close to 41% of the sample were severely underweight, the risk factor was not recognized as actionable. Patients should get nutrition supplementation prior to surgery admission and parents should be notified of their child’s malnutrition status at discharge. Additionally, BPL parents need additional resource and system navigation assistance to reduce financial constraints and maintain their child’s follow-up care and nutrition.2022-05-31T00:00:00

    A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

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    A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack

    Efficient Synthesis of Passively Loaded Finite Arrays for Tunable Anomalous Reflection

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    A design methodology for planar loaded antenna arrays is proposed to synthesize a perfect anomalous reflection into an arbitrary direction by optimizing the scattering characteristics of passively loaded array antennas. It is based on efficient and accurate prediction of the induced current distribution and the associated scattering for any given set of load impedances. For a fixed array of finite dimensions, the deflection angles can be continuously adjusted with proper tuning of each load. We study and develop anomalous reflectors as semi-finite (finite Ă—\times infinite) and finite planar rectangular arrays comprising printed patches with a subwavelength spacing. Anomalous reflection into an arbitrary desired angle using purely reactive loads is numerically and experimentally validated. Owing to the algebraic nature of load optimization, the design methodology may be applied to the synthesis of large-scale reflectors of practical significance.Comment: 10 pages, 10 figure

    YY1 Is Required for Germinal Center B Cell Development.

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    YY1 has been implicated as a master regulator of germinal center B cell development as YY1 binding sites are frequently present in promoters of germinal center-expressed genes. YY1 is known to be important for other stages of B cell development including the pro-B and pre-B cells stages. To determine if YY1 plays a critical role in germinal center development, we evaluated YY1 expression during B cell development, and used a YY1 conditional knock-out approach for deletion of YY1 in germinal center B cells (CRE driven by the immunoglobulin heavy chain Îł1 switch region promoter; Îł1-CRE). We found that YY1 is most highly expressed in germinal center B cells and is increased 3 fold in splenic B cells activated by treatment with anti-IgM and anti-CD40. In addition, deletion of the yy1 gene by action of Îł1-CRE recombinase resulted in significant loss of GC cells in both un-immunized and immunized contexts with corresponding loss of serum IgG1. Our results show a crucial role for YY1 in the germinal center reaction
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