Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition

Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017. This is an Open Access paper, made available under the Creative Commons license CC BY 4.0 https://creativecommons.org/licenses/by/4.0/This paper describes an application of multi-criteria decision making (MCDM) for multi-modal fusion of features in a 3D face recognition system. A decision making process is outlined that is based on the performance of multi-modal features in a face recognition task involving a set of 3D face databases. In particular, the fuzzy interval valued MCDM technique called TOPSIS is applied for ranking and deciding on the best choice of multi-modal features at the decision stage. It provides a formal mechanism of benchmarking their performances against a set of criteria. The technique demonstrates its ability in scaling up the multi-modal features.Peer reviewedProo

FishMark: A Linked Data Application Benchmark

Abstract. FishBase is an important species data collection produced by the FishBase Information and Research Group Inc (FIN), a not-forprofit NGO with the aim of collecting comprehensive information (from the taxonomic to the ecological) about all the world’s finned fish species. FishBase is exposed as a MySQL backed website (supporting a range of canned, although complex queries) and serves over 33 million hits per month. FishDelish is a transformation of FishBase into LinkedData weighing in at 1.38 billion triples. We have ported a substantial number of FishBase SQL queries to FishDelish SPARQL query which form the basis of a new linked data application benchmark (using our derivative of the Berlin SPARQL Benchmark harness). We use this benchmarking framework to compare the performance of the native MySQL application, the Virtuoso RDF triple store, and the Quest OBDA system on a fishbase.org like application.

Initial specification of the evaluation tasks "Use cases to bridge validation and benchmarking" PROMISE Deliverable 2.1

Evaluation of multimedia and multilingual information access systems needs to be performed from a usage oriented perspective. This document outlines use cases from the three use case domains of the PROMISE project and gives some initial pointers to how their respective characteristics can be extrapolated to determine and guide evaluation activities, both with respect to benchmarking and to validation of the usage hypotheses. The use cases will be developed further during the course of the evaluation activities and workshops projected to occur in coming CLEF conferences

Average Rate Analysis of Cooperative NOMA aided Underwater Optical Wireless Systems

In this paper, we consider a cooperative non-orthogonal multiple access (NOMA) aided underwater optical wireless system in which the source transmits to two users where the near user serves as a relay node to the far user. Our proposed system consists of multiple narrow-angle light-emitting diode (LED)/photodiode (PD) elements at the source, near user, and far user. In order to achieve communication, our system selects a single LED/PD at each node. We propose several low complexity LED/PD selection schemes that aim to maximize the link throughput and in addition consider optimal and random LED/PD selection for benchmarking. In order to characterize the performance of each scheme, bounds and closed-form tight approximations on the average achievable sum rates are presented. The use of multi element nodes and NOMA increase the average sum rate significantly over conventional orthogonal access. Moreover, near-optimal throughput can be achieved using channel gain based and line-of-sight based LED/PD selection schemes in the medium-to-high transmit power regimes. The derived expressions are also useful to investigate the impact of key system and channel parameters such as the source transmit power, power allocation factor, node placement, and the number of elements at each node

Energy Transparency in the Multifamily Housing Sector

Mirroring recent trends in other real estate sectors, the multifamily housing sector is subject to an increasing number of rules and regulations related to energy-performance benchmarking and performance disclosure. State and local governments are moving rapidly to institutionalize benchmarking and make energy performance information available in the real estate marketplace, while major lending institutions are taking initial steps to factor building energy performance into financial products. The goal of these new rules is to enable transparent building energy-performance information to drive energy efficiency improvements in multifamily housing that lower energy bills for residents; contribute to greater local housing affordability; and new jobs and services related to energy efficiency. Many multifamily owners and operators have never benchmarked the energy performance of their buildings, while other parties -- including state, local, and federal policymakers, tenants, utilities, and lenders -- have little or no access to building energy-performance information that can help shape real estate decisions or inform the development of policies, incentives, and financial vehicles to advance energy efficiency. This critical shortage of information about building energy performance has prevented property markets from valuing energy efficiency and severely undermined both public and private efforts to increase the energy efficiency of multifamily housing.While energy benchmarking and disclosure policies are an innovative approach to overcome energy-performance information gaps in the multifamily sector, several challenges must be addressed. The multifamily sector is fragmented and resists a one-size-fits-all approach, ranging from low-income public housing to luxury properties, all with varied sources of public and private financing. Policies must reflect and accommodate the diversity of both the building stock and its stakeholders. In many cases, underlying barriers continue to limit the ability of many multifamily owners to conduct benchmarking and other energy-performance assessment measures. This report is intended to serve as a guide for policymakers and multifamily stakeholders on benchmarking and disclosure rules and regulations. It provides an introduction to the multifamily housing sector, followed by a thorough review of existing benchmarking and disclosure policies and an assessment of continuing policy challenges and opportunities