Dr.Jaya Prakash Sinha

Bio: Dr.Jaya Prakash Sinha is an academic researcher. The author has contributed to research in topics: Coupling & Radio-frequency identification. The author has an hindex of 1, co-authored 4 publications receiving 3 citations.

Study of Electromagnetic Gauges for Determining In-Place HMA Density

Abstract: Asymmetrical regauging and multivalued potentials (MVPs) occur widely in nature and may involve fields that are non-conservative, i.e., the free production of excess force fields. Yet conventional electric and magnetic engines are designed with gauge frozen and utilizing conservative fields and single-valued potentials. Self-induced change of potential, as by an MVP, can be utilized to accomplish asymmetrical selfregauging (ASR) (A-regauging) of the engine’s stored energy at a certain point or sector. This is equivalent to free "refueling" of the engine, at each regauging position in its cycle, with excess energy furnished from the vacuum. During asymmetrical regauging, the system is an open system receiving excess energy from a known external source, so it can exhibit a COP>1.0 without violating the laws of physics. One or more additional force fields will appear, and they may be used to assist the operation of the system, by deliberate design.

A Study of Electromagnetic Modeling of Parasitics and Mutual Coupling in EMI Filters

Abstract: This study discusses such aspects of EMC filters high frequency parasitic parameters asthree phase power filter parasitic parameter indirect measurement and extraction, 3D electromagnetic field modeling of filter component mutual couplings, filter inductive and capacitive component measurement techniques and measurement errors. The study describes novel three phase filter parasitic parameter extraction methodology. Three novel EMI power filter capacitor models for 3D electromagnetic field modeling are presented. EMI filter inductive component analysis is carried out using 3D electromagnetic field modeling. Mutual coupling reduction techniques in EMI power filters are developed and analyzed based on 3D electromagnetic field modeling. All modeling results are verified carrying out prototype measurements.

Radio frequency identification technologies benefits and application in industry

Abstract: Radio Frequency Identification (RFID) is an automatic identification method based on the remote storage and retrieval of data through the use of RFID tags or transponders. The technology requires an RFID reader and RFID tag and uses AIDC technology. AIDCrefers to methods for automatically identifying objects, collecting data about them, and entering that data directly into computer systems (ie, without human intervention). AIDC is the process or means to obtain external data, especially through the analysis of images, sounds or videos. This article will provide the technology behind Radio Frequency Identification systems, identify Radio Frequency Identification applications in different industries, and discuss the methodologicalissues of implementing Radio Frequency Identification and the strategies to address those challenges. Radio Frequency Identification business processes, including reverse logistics and supply chain, decision making within and between organizations, because of their ability to provide highly accurate and automated real-time information.

Review of Parallelization Analysis of the PEEC-Based Solver

Abstract: A precise analysis of the physical properties and laws of the underlying electrodynamic problem has been carried out to confirm the suitability and applicability of hierarchical approaches for circuit simulation. Together with the proposed simulation instructions and guidelines conventional PEEC techniques can be improved considerably. By means of a PEEC formulation in curvilinear coordinates, high flexibility and compatibility to orthogonal discretizations can be achieved. Therequired number of cells can be reduced significantly by applying non-orthogonal discretization. Therefore, this approach enables a kind of model order reduction. In combination with highly-sophisticated quadrature rules for an efficient numerical integration and regarding the proposed validity aspects concerning mesh generation, high demands for simulation accuracy can be met. The proposed reluctance-based PEEC method enables a sparse formulation of element matrices and therefore supports the application of iterative solution methods.

Chemistry of the heaviest elements--one atom at a time

Abstract: CHEMISTRY OF THE HEAVIEST ELEMENTS--ONE ATOM AT A TIME Darleane C. Hoffman and Diana M. Lee Nuclear Science Division, MS-70A/3307,Lawrence Berkeley National Laboratory and Department of Chemistry, University of California, Berkeley, CA 94720. Keywords: Nuclear, radiochem; isotopes; separation science; graduate education, research; instrumental methods; chromatography. In keeping with the goal of the Viewpoint series of the Journal of Chemical Education, this article gives a 75-year perspective of the chemistry of the heaviest elements, including a 50-year retrospective view of past developments, a summary of current research achievements and applications, and some predictions about exciting, new developments that might be envisioned within the next 25 years. A historical perspective of the importance of chemical separations in the discoveries of the transuranium elements from neptunium (Z=93) through mendelevium (Z=101) is given. The development of techniques for studying the chemical properties of mendelevium and still heavier elements on the basis of measuring the radioactive decay of a single atom (“atom-at-a-time” chemistry) and combining the results of many separate experiments is reviewed. The influence of relativistic effects (expected to increase as Z 2 ) on chemical properties is discussed. The results from recent atom-at-a-time studies of the chemistry of the heaviest elements through seaborgium (Z=106) are summarized and show that their properties cannot be readily predicted based on simple extrapolation from the properties of their lighter homologues in the periodic table. The prospects for extending chemical studies to still heavier elements than seaborgium are considered and appear promising.

Why Stop There

Abstract: I (Gerry) am almost guilty of overusing Data Studio. When I want to visualize or analyze something, it is surprising how often I turn to Google Data Studio while auditing a client’s analytics. I will create the longest possible page and use table after table to demonstrate issues with a little text around it. Using custom formatting I can highlight key issues, and from there we can monitor them to see if they have been fixed up. I will create visualizations of every campaign and will use it to present tables of data that I want clients to see, interact with, but not to edit.