New Developments on Gravitational Force and Nonlinear Oscillations of Space

This paper contains results obtained as solutions of the Unified Field Theory equations. It yields space nonlinear oscillations, a quartet of gravitational forces, quintessence, and replaces Einstein's Cosmological Constant by an invariant parameter $r_0$ which prevails over the entire evolution of the Universe

Harnessing Big Data for Characterizing Driving Volatility in Instantaneous Driving Decisions – Implications for Intelligent Transportation Systems

This dissertation focuses on combining connected vehicles data, naturalistic driving sensor and telematics data, and traditional transportation data to prospect opportunities for engineering smart and proactive transportation systems.The key idea behind the dissertation is to understand (and where possible reduce) “driving volatility” in instantaneous driving decisions and increase driving and locational stability. As a new measure of micro driving behaviors, the concept of “driving volatility” captures the extent of variations in driving, especially hard accelerations/braking, jerky maneuvers, and frequent switching between different driving regimes. The key motivation behind analyzing driving volatility is to help predict what drivers will do in the short term. Consequently, this dissertation develops a “volatility matrix” which takes a systems approach to operationalizing driving volatility at different levels, trip-based volatility, location-based volatility, event-based volatility, and driver-based volatility. At the trip-level, the dynamics of driving regimes extracted from Basic Safety Messages transmitted between connected vehicles are analyzed at a microscopic level, and where the interactions between microscopic driving decisions and ecosystem of mapped local traffic states in close proximity surrounding the host vehicle are characterized. Another new idea relates to extending driving volatility to specific network locations, termed as “location-based volatility”. A new methodology is proposed for combining emerging connected vehicles data with traditional transportation data (crash, traffic, road geometrics data, etc.) to identify roadway locations where traffic crashes are waiting to happen. The idea of event-based and driver-based volatility introduces the notion that volatility in longitudinal and lateral directions prior to involvement in safety critical events (crashes/near-crashes) can be a leading indicator of proactive safety.Overall, by studying driving volatility from different lenses, the dissertation contributes to the scientific analysis of real-world connected vehicles data, and to generate actionable knowledge relevant to the design of smart and intelligent transportation systems. The concept of driving volatility matrix provides a systems framework for characterizing the health of three fundamental elements of a transportation system: health of driver, environment, and the vehicle. The implications of the findings and potential applications to proactive network level screening, customized driver assist and control systems, driving performance monitoring are discussed in detail

MATERIAL BALANCE OF THE TECHNOLOGICAL PROCESS IN THE NEW FOUNDRY OF NEW FERRONIKEL IN DRENAS 2017

Experimental and industrial research of the technological process during the year 2017, including planning, is presented in this paper. That research was conducted in the new Foundry of new Ferronickel in Drenas, which is in the village of Cikatove, Drenas, the Republic of Kosovo. According to initial calculations, an amount of ore which would enter the process was determined, however the anticipated amount was different from the one used during the process. The same applies to fuel. Difference between the planned and the actual amount of ore used during the year 2017 resulted from the percentage of Ni in the amount of ore used in the foundry, demand for an Fe-Ni ferroalloy etc. The technological process in the foundry serves the purpose of processing ore of iron-nickel with a high percentage of Ni in its composition. The material balance of the technological process in the new Foundry of new Ferronickel in Drenas, presented in this paper, is based on experimental and industrial data of the technological process acquired in the foundry. The material balance includes the technological process starting from calculation of the amount of ore and fuel, both making up the load for the rotary kiln. Additional contributors to the material balance are calculation of the amount of: fuel, which impacts the increase of temperature in rotary kilns, charge for the electric furnaces, metal and slags from the electric furnaces, metal and slags from the refining process (convertors) and mathematical calculation of the final product which is the ferroalloy of Fe-Ni. While preparing the material balance we have noticed greater acquisition of Ni than planned. The greater amount of Ni was produced by a smaller amount of ore than originally planned