216 research outputs found
Exploration and mitigation of power quality problems in radial distribution system by placing distributed generation through voltage stability index
Introduction. Distributed generation has played an important role in many aspects of sustainability, such as improving voltage profiles and reducing power losses, in the distribution network. Problem. Frequent variation of loads causes many complications while placing and sizing of distributed generation in the radial distribution network, via quality of supply, and stability of the system. Goal of the paper is to investigate and mitigate the power quality issues towards stabilizing the system during distributed generations placed in the system under various loading conditions. Methodology. The line voltage stability index analyses and enhances the performance of the radial distribution network by effective sizing and location of distributed generation towards the objective function. Practical value. A standard test system IEEE-69 bus radial distribution network is used to understand through MATLAB environment.Вступ. Розподілена генерація відіграла важливу роль у багатьох аспектах стійкості, таких як покращення профілів напруги та зниження втрат електроенергії у розподільній мережі. Проблема. Часті коливання навантаження викликають безліч складнощів при розміщенні та визначенні розміру розподіленої генерації в радіальній розподільній мережі через якість постачання та стабільність системи. Мета статті полягає в тому, щоб дослідити та пом'якшити проблеми з якістю електроенергії для стабілізації системи під час розподіленої генерації, розміщеної у системі за різних умов навантаження. Методологія. Індекс стабільності лінійної напруги аналізує та підвищує продуктивність радіальної розподільної мережі за рахунок ефективного визначення розміру та розташування розподіленої генерації щодо цільової функції. Практична цінність. Для розуміння використовується стандартна тестова система радіальної розподільної мережі IEEE-69 за допомогою середовища MATLAB
Framework to predict NPA/Willful defaults in corporate loans: a big data approach
Growth and development of the economy is dependent on the banking system. Bad loans which are Non-Performing Assets (NPA) are the measure for assessing the financial health of the bank. It is very important to control NPA as it affects the profitability, and deteriorates the quality of assets of the bank. It is observed that there is a significant rise in the number of willful defaulters. Hence systematic identification, awareness and assessment of parameters is essential for early prediction of willful default behavior. The main objective of the paper is to identify exhaustive list of parameters essential for predicting whether the loan will become NPA and thereby willful default. This process includes understanding of existing system to check NPAs and identifying the critical parameters. Also propose a framework for NPA/Willful default identification. The framework classifies the data comprising of structured and unstructured parameters as NPA/Willful default or not. In order to select the best classification model in the framework an experimentation is conducted on loan dataset on big data platform. Since the loan data is structured, unstructured component is incorporated by generating synthetic data. The results indicate that neural network model gives best accuracy and hence considered in the framework
Development of Thin Gold Film Thermal Sensors for Synchrotron X-Ray Exposure Diagnostics.
High aspect ratio lithography utilizes high intensity exposure sources, such as synchrotron storage rings, to deposit sufficient dose in the resist to produce a successful pattern transfer. Such highly powerful sources are known to cause undesirable thermal effects in the mask-resist-substrate system. Hence, the measurement of temperature of a mask-resist-substrate system during irradiation is an important exposure diagnostic feature. Deposition of a reasonably accurate dose in the resist is controlled by knowledge of the exposure source intensity. Periodic monitoring of the synchrotron radiation beam power and its spatial distribution at the exposure plane is necessary. In this research, diagnostic techniques based on thin gold film thermal sensors are developed to measure mask-resist-substrate temperature during exposure, and to measure the magnitude and spatial distribution of exposure radiation power. The suitability of thin gold film thermal sensors for exposure diagnostics are demonstrated. Fabrication, calibration and performance characteristics of these sensors are presented. Results of the temperature rise on the top surface of PMMA and at the interface of the Si-PMMA resist-substrate system in vacuum and at different pressures of helium are presented. Relaxation time parameter under different exposure ambiance is determined. The thermal sensor measurement is compared with that of conventional J-type miniature thermocouples, and temperature measurements are compared with results of a numerical simulation performed using the finite difference heat transfer code, HEATING. A calorimeter, based on the interlaced thermal sensors, has been developed to perform synchrotron radiation beam power measurements. The concept of internal calibration, that combines calibration and measurement into a single operation, is explained. The advantage of this technique in terms of the ambiance independent, calibration-free performance and fast response time is demonstrated in comparison with conventional calorimeters. A procedure, based on an integral type measurement to obtain the spatial power distribution in the beam is explained. The results of beam power measurement and beam profile measurement at the XRLC1 and the XRLM3 beamlines are presented. An empirical relationship between the synchrotron electron beam current and the synchrotron radiation power is developed to serve as a quick reference during exposures
Infestation of pinhole borer [Euplatypus parallelus (F.)] on Dalbergia latifolia Roxb.
Dalbergia latifolia Roxb. (Indian rosewood) is India's one of the main timber tree. This is the first report of infestation of D. latifolia by Euplatypus parallelus (Fabricius, 1801) (Coleoptera: Curculionidae: Platypodinae), beetle in Karnataka, India. Pinhead-sized holes with reddish resinous exudation oozing from them and blackened areas around the holes caused by the ambrosia fungi are the characteristic feature of infestation. Fusarium oxysporum Schlecht. was isolated from infected portion of sapwood. Infested trees wilt, lose leaves and die. The infection may seriously threaten Indian rosewood
Endoscope and System and Method of Operation Thereof
An endoscope including a rigid section having opposed first and second ends and an opening situated between the first and second ends, the rigid section defining a longitudinal axis; a handle portion coupled to a first end of the rigid section and having first and second scissor-type handles suitable for grasping by a user; and a base part situated at the second end of the rigid section and coupled to the first handle of the scissor-type handles such that displacement of the first handle causes a rotation of the base part
On Development of 100-Gram-Class Spacecraft for Swarm Applications
A novel space system architecture is proposed, which would enable 100-g-class spacecraft to be flown as swarms (100 s-1000 s) in low Earth orbit. Swarms of Silicon Wafer Integrated Femtosatellites (SWIFT) present a paradigm-shifting approach to distributed spacecraft development, missions, and applications. Potential applications of SWIFT swarms include sparse aperture arrays and distributed sensor networks. New swarm array configurations are introduced and shown to achieve the effective sparse aperture driven from optical performance metrics. A system cost analysis based on this comparison justifies deploying a large number of femtosatellites for sparse aperture applications. Moreover, this paper discusses promising guidance, control, and navigation methods for swarms of femtosatellites equipped with modest sensing and control capabilities
Security framework for cloud based electronic health record (EHR) system
Health records are an integral aspect of any Hospital Management System. With newer innovations in technology, there has been a shift in the way of recording health information. Medical records which used to be managed using various paper charts have now become easier to organize and maintain, thereby increasing the efficiency of medical staff. The Electronic Health Records (EHR) System is becoming a high-tech medical management technology developed for the economic or emerging economic countries like India. In a national health system, the EHR integrates the Electronic Medical Records (EMR) in all collaborating hospitals through different networks. EHR gives healthcare professionals a way to share and manage patient data quickly and effectively. Due to the mass storage of confidential patient data, healthcare organizations are considered as one of the most targeted sectors by intruders. This paper proposes a security framework for EHR system, which takes into consideration the integrity, availability, and confidentiality of health records. The threats posed to the EHR system are modeled by STRIDE modeling tool, and the amount of risk is calculated using DREAD. The paper also suggests the security mechanism and countermeasures based on security standards, which can be utilized in an EHR environment. The paper shows that the utilization of the proposed methods effectively addresses security concerns such as breach of sensitive medical information
Multi-Directional Environmental Sensors
Systems and methods in accordance with embodiments of the invention implement multi-directional environmental sensors. In one embodiment, a multi-directional environmental sensor includes: an inner conductive element that is substantially symmetrical about three orthogonal planes; an outer conductive element that is substantially symmetrical about three orthogonal planes; and a device that measures the electrical characteristics of the multi-directional environmental sensor, the device having a first terminal and a second terminal; where the inner conductive element is substantially enclosed within the outer conductive element; where the inner conductive element is electrically coupled to the first terminal of the device; and where the outer conductive element is electrically coupled to the second terminal of the device
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