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This paper investigates interference mitigation and read rate improvement by using novel power control and graph‐based scheduling schemes for radio frequency identification (RFID) systems.

The first method is a distributed power control (DPC) scheme proposed as an alternative to listen‐before‐talk (LBT) for RFID systems specified under CEPT regulations. The DPC algorithm employs reader transmission power as the system control variable to achieve a desired read range and read rate without causing unwanted interference. The second approach is graph‐based scheduling, which uses a graph coloring‐based approach to temporally separate readers with overlapping interrogation zones. The scheduling of the timeslots is carried out so as to offer better efficiency for each reader.

This paper shows that power control, graph theory, collision probability analysis along with timeslot scheduling schemes can be widely adapted to solve general RFID problems. The study shows that selection of timeslot allocation schemes should be carried out after carefully analysing the process/workflow in the application domain. While fair scheduling schemes can be applicable to stable manufacturing environments, event‐triggered scheduling schemes are more effective in fairly chaotic environments.

The study shows that the proposed interference mitigation and read rate improvement techniques can be generalized to assist in design, development, and implementation of a variety of RFID‐based systems, ranging from supply chain level operations to shop floor control. The proposed techniques improve not only the reliability of RFID systems but, more importantly, improve business processes that rely on RFID data.

The paper critically examines the program on Education for All (EFA) in India, namely Sarva Shiksha Abhiyan (SSA) in a financing and development framework. In doing so, the paper identifies a number of policy and implementation gaps in the program. A fine-tuning of the existing matching shares by discriminating the matching shares in terms of need for, ability to provide matching shares and to strengthen the absorptive capacity could go a long way in attaining the horizontal equity in terms of every child completing elementary schooling in India. This would also ensure the other desirable principles of intergovernmental transfers such as predictability, transparency, and incentive mechanism besides improving utilization.

Further, it clearly emerges that only after ensuring the basic minimum levels in terms of physical and human infrastructure, and ensuring equal access to all the child population of age group of 6–14, quality is given priority. Thus, the challenge is both improving the qualitative and quantitative targets of UEE with enhanced resource allocation to education. Hence, Center is to ensure release of funding for SSA through special efforts as the program requires enormous funding and serious commitment of both central and state governments.

On the developmental aspects, the scheme not only widens social inequity but also perpetuates the declining quality of public provision by encouraging alternate schools and para teachers, besides the financing norms. These low-cost options will result in serious ramifications on equity, quality, balance, and sustainability of the basic education structure.

The purpose of this paper is to present and analyze the current literature related to developing and improving the Mahalanobis-Taguchi system (MTS) and to present the shortcomings related to this method for future research.

In this paper, articles in the literature are classified to give an overview on the MT strategy. For this purpose, 46 articles are considered for classification from 2000 to 2013 on the basis of: MTS contribution area, description of the issue, and results.

In this paper a review on the concepts and operations of the MTS was provided as a new method in the field of pattern recognition, multivariable diagnosis, and forecasting. A large number of studies were performed in recent years consisting of developing MTS and MTS case studies. The analysis of the articles showed the fields of MTS which had more potential for future studies and developing. The comparison of the MTS to other methods and the selection of the normal group for constructing the Mahalanobis space have received the most attention by researchers. In addition, several studies concentrated on the use of other methods instead of design of experiments, finding applications for multiclass MTS and finding an alternative for the SN ratio.

This paper contains the publications in the field of MTS chronologically and shows different areas for developing and case studies. It will be useful to researchers and professionals who are interested in pattern recognition, multivariate analysis, and forecasting.

The purpose of this paper is to show a bibliographical review of the applications of the MTS throughout the time and the different fields.

The Mahalanobis-Taguchi system (MTS) is an analytical method used for the diagnosis and/or pattern recognition of multivariate data for quantitative decision making.

Its scope is very broad, ranging from engineering, medicine, education, and manufacturing, among others. This work presents a classification of the literature in the following areas of the MTS: introduction of the method, cases of study/application, comparison with other methods, integration and development of the MTS with other methods, construction of Mahalanobis space, dimensional reduction and threshold establishment. It realized a wide search of the publications in magazines and congresses.

This paper is a summary of the main applications, contributions and changes to MTS.