Stevens Institute of Technology

About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Computer science & Cognitive radio. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.

Chemical vapor deposition of refractory metals and ceramics II

Abstract: This symposium was held at the fall meeting of the Materials Research Society in Boston, Massachusetts on December 4--6, 1991. The purpose of this symposium was to provide a forum for exchange of state-of-the-art information on chemical vapor deposition of refractory metals and ceramics II. A number of papers discuss the fundamentals of CVD. They focus on the thermochemistry of CVD and the choice of halide gas species; CVD modeling for high-temperature materials; and kinetics and mass transport in CVD, with an emphasis on silicon carbide deposition. Papers are included which emphasize both the importance of in situ diagnostics and how this area is just now emerging. Papers on microstructure-process-property relationships reveal the ability to control the CVD coatings to a level not seen before. Chemical vapor infiltration to produce composite materials is the subject of a number of other papers and includes considerable discussion of the modeling of the infiltration process. Papers on organometallic CVD focus on a number of issues related to precursors and the mechanisms of deposition. Individual papers are processed separately for inclusion in the appropriate data bases.

Securing e-health records using keyless signature infrastructure blockchain technology in the cloud

Abstract: Health record maintenance and sharing are one of the essential tasks in the healthcare system. In this system, loss of confidentiality leads to a passive impact on the security of health record whereas loss of integrity leads can have a serious impact such as loss of a patient’s life. Therefore, it is of prime importance to secure electronic health records. Health records are represented by Fast Healthcare Interoperability Resources standards and managed by Health Level Seven International Healthcare Standards Organization. Centralized storage of health data is attractive to cyber-attacks and constant viewing of patient records is challenging. Therefore, it is necessary to design a system using the cloud that helps to ensure authentication and that also provides integrity to health records. The keyless signature infrastructure used in the proposed system for ensuring the secrecy of digital signatures also ensures aspects of authentication. Furthermore, data integrity is managed by the proposed blockchain technology. The performance of the proposed framework is evaluated by comparing the parameters like average time, size, and cost of data storage and retrieval of the blockchain technology with conventional data storage techniques. The results show that the response time of the proposed system with the blockchain technology is almost 50% shorter than the conventional techniques. Also they express the cost of storage is about 20% less for the system with blockchain in comparison with the existing techniques.

Optimality conditions in portfolio analysis with general deviation measures

Abstract: Optimality conditions are derived for problems of minimizing a general measure of deviation of a random variable, with special attention to situations where the random variable could be the rate of return from a portfolio of financial instruments. General measures of deviation go beyond standard deviation in satisfying axioms that do not demand symmetry between ups and downs. The optimality conditions are applied to characterize the generalized ``master funds'' which elsewhere have been developed in extending classical portfolio theory beyond the case of standard deviation. The consequences are worked out for deviation based on conditional value-at-risk and its variants, in particular.