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The purpose of this paper is to present the application of an efficient genetic algorithm to deal with the problem of computing the trade‐off curves for non‐uniform circular arrays. In order to answer questions related to the performance of the non‐uniform circular phased arrays, two criteria are considered to evaluate the design: the criteria of minimum main beam width and minimum side lobe level (SLL) during scanning.

The design of non‐uniform circular arrays is modeled as a multi‐objective optimization problem. The Non‐dominated Sorting Genetic Algorithm II (NSGA‐II) is employed as the methodology to solve the resulting optimization problem. This algorithm is considered to be one of the best evolutionary optimizer for multi‐objective problems. It is chosen for its ease of implementation and its efficiency for computation of non‐dominated ranks. The method is based on the survival of the fittest paradigm, where each individual in the population represents a feasible solution of the optimization problem being solved. The concept of fitness is adapted to take into account the concept of solution quality in multi‐objective problems. This evolutionary method can be used effectively for computing the trade‐off curves between the SLL and the main beam width.

The NSGA‐II algorithm can effectively compute the trade‐off curve of different non‐uniform circular arrays. The simulation results presented in this paper show design options that maintain a low SLL and main beam width without pattern distortion during beam steering. Moreover, these trade‐off curves provide a more realistic approach to the solution of the design problem.

The design problem is set to determine which are the best design configurations or separations between the antenna elements and the best amplitude excitations when a circular structure is employed. Owing to the complex feasible region and the non‐linear dependence of optimization criteria from the decision variables, simple traditional and more sophisticated mathematical programming approaches will lead us to local optimal solutions in the case we can apply them. To the best of our knowledge, this multi‐objective optimization problem has not dealt with before, when two or more conflicting design criteria are taken into account. Therefore, the solution to this problem constitutes the main contribution of our paper.

The purpose of this paper is to present and solve the problem of adaptive beamforming (ABF) for a uniform linear array (ULA) as an optimization problem. ABF mainly concerns with estimation of weights of antenna array so as to direct the major lobe in the direction of desired user and nulls in the direction of interfering signals with reduced side lobe level (SLL).

The potential of gravitational search algorithm is explored to optimize multi-objective fitness function for ABF using MATLAB software.

The performance of the algorithm has been compared by considering different number of interference signals at different power levels. The proposed algorithm presents good convergence rate and accurate steering of main lobe and nulls with reduced SLL compared to the well-known ABF technique, namely, minimum variance distortionless response (MVDR) and previously reported results. The simulation results are presented in tabular form.

The present work is limited to simulation. The researchers are encouraged to solve the problem of ABF using the proposed approach in hardware.

The application of proposed algorithm is to optimize multi-objective function for ABF with reduced SLL in linear antenna arrays.

Understanding of antecedence of organizational identification (OID) will help managements to improve the efficiency of organizations by enabling employees to perform their roles and responsibilities with total commitment. Many micro-level factors have been found to influence OID. The present study aims to examine the role of organizational culture (OC) which encompasses all micro-level factors and the moderating role of organizational learning (OL) which is a framework either to totally submit to or redefine the tenets of different cultural orientations adopted by organizations.

Four cultural types, namely clan, ad hocracy, hierarchy and market, were treated as independent variables; two learning styles, namely single loop (SLL) and double loop (DLL) learning styles, were included as moderator variables and four OID dimensions, namely positive identification, ambivalent identification, neutral identification and disidentification, were treated as dependent variables of a path analysis model. Three hundred and seventy-eight employees of ten private sector insurance companies located in south India were included as subjects and data on three questionnaires were collected. Best fitting path models one for each dependent variables, which had conceptual and practical relevance, were retained.

Adhocracy and hierarchy cultures show direct positive impact on positive identification and show direct negative impact on other three modes of identification. Clan culture shows a weak tendency towards positive identification and does not influence other three modes. Market culture shows no impact on positive identification but influences other modes. DLL and SLL learning both in isolation and in combination moderate the relationships to cultural orientations and various modes of OID.

This study highlights the importance of OC and OL in developing OID among the employees. The insights drawn from the findings can be used to build comprehensive model of OID.

This paper aims to apply blockchains (BCs) for trade clearing and settlement in a realistic clearinghouse. The purpose is to demonstrate the feasibility and scalability of this approach.

The study uses account BCs and trading BCs as building blocks for trade clearing and settlement. Careful design is made to ensure that this approach is feasible and scalable.

A design has been proposed that can process hundreds of thousands of trades for a clearinghouse and it addresses performance, privacy and scalability of realistic trade clearing and settlement. The design has been implemented and experimented in a clearinghouse for over two months and processes over 3B real transactions from an exchange. The first month was to experiment with the system with historical data, the second month was to experiment with real-time data during market trading hours. The system performed as designed and intended.

This is the first large research paper that applied BCs for clearing in the world. The authors applied the system to a clearinghouse and processed over 3 billion transactions, equivalent to 13 years of London Stock Exchange transaction volume, demonstrating that BCs can handle a large number of transactions.

The design can be duplicated to many clearinghouses in the world, and this also paves the way BCs can be used in large financial institutions.

An implication is that other trading firms, clearinghouses and banks can apply the same technology for trade clearing, ushering the way BCs can be used in institutions. As clearing is a core function in business transactions, this has significant implications. The design can be discussed and improved in various communities.

As this is the first application of BCs to large clearinghouses that uses unique BC designs. This has significant value. Many studies have been performed but few have been reported in the scientific community. The system has been implemented, experimented and demonstrated in public for months.

The purpose of this paper is to improve energy efficiency and further reduction of side lobe level the algorithm proposed is firework algorithm. In this paper, roused by the eminent swarm conduct of firecrackers, a novel multitude insight calculation called fireworks algorithm (FA) is proposed for work enhancement. The FA is introduced and actualized by mimicking the blast procedure of firecrackers. In the FA, two blast (search) forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned. To approve the presentation of the proposed FA, correlation tests were led on nine benchmark test capacities among the FA, the standard PSO (SPSO) and the clonal PSO (CPSO).

The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system. The latest communication systems use the antenna array technology to improve the spectral efficiency, fill rate and the energy efficiency of the communication system can be enhanced. One of the most important properties of antenna array is beam pattern. A directional main lobe with low side lobe level (SLL) of the beam pattern will reduce the interference and enhance the quality of communication. The classical methods for reducing the side lobe level are differential evolution algorithm and PSO algorithm. In this paper, roused by the eminent swarm conduct of firecrackers, a novel multitude insight calculation called fireworks algorithm (FA) is proposed for work enhancement. The FA is introduced and actualized by mimicking the blast procedure of firecrackers. In the FA, two blast (search) forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned. To approve the presentation of the proposed FA, correlation tests were led on nine benchmark test capacities among the FA, the standard PSO (SPSO) and the clonal PSO (CPSO). It is demonstrated that the FA plainly beats the SPSO and the CPSO in both enhancement exactness and combination speed. The results convey that the side lobe level is reduced to −34.78dB and fill rate is increased to 78.53.

Samples including 16-element LAAs are conducted to verify the optimization performances of the SLL reductions. Simulation results show that the SLLs can be effectively reduced by FA. Moreover, compared with other benchmark algorithms, fireworks has a better performance in terms of the accuracy, the convergence rate and the stability.

With the use of algorithms radiation is prone to noise one way or other. Even with any optimizations we cannot expect radiation to be ideal. Power dissipation or electro magnetic interference is bound to happen, but the use of optimization algorithms tries to reduce them to the extent that is possible.

16-element linear antenna array is available with latest versions of Matlab.

The latest technologies and emerging developments in the field of communication and with exponential growth in users the capacity of communication system has bottlenecks. The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system. The latest communication systems use the antenna array technology which is to improve the spectral efficiency, fill rate and the energy efficiency of the communication system can be enhanced.

By using FA, the fill rate is increased to 78.53 and the side lobe level is reduced to 35dB, when compared with the bench mark algorithms.

The aim of this paper is to explore the potential of particle swarm optimization (PSO) methods for minimizing the sidelobe levels (SLL) and placing null at arbitrary angles of a nonlinear antenna array.

An improved PSO algorithm is designed.

The improved PSO method is an efficient and robust global optimizer for minimizing the SLL and placing null at arbitrary angles of a nonlinear antenna array.

Some improvements, such as the design of some new formulae for both position and velocity updating, the introduction of an age variable, and the devise of an intensification searches using the cross entropy method, are proposed.

There is an increasing interest in understanding how innovation processes can address current challenges in healthcare. The purpose of this paper is to analyze the wider socio-economic context and conditions for such innovation processes in the Stockholm region, using the functional dynamics approach to innovation systems (ISs).

The analysis is based on triangulation using data from 16 in-depth interviews, two workshops, and additional documents. Using the functional dynamics approach, critical structural and functional components of the healthcare IS were analyzed.

The analysis revealed several mechanisms blocking innovation processes such as fragmentation, lack of clear leadership, as well as insufficient involvement of patients and healthcare professionals. Furthermore, innovation is expected to occur linearly as a result of research. Restrictive rules for collaboration with industry, reimbursement, and procurement mechanisms limit entrepreneurial experimentation, commercialization, and spread of innovations.

In this study, the authors analyzed how certain functions of the functional dynamics approach to ISs related to each other. The authors grouped knowledge creation, resource mobilization, and legitimacy as they jointly constitute conditions for needs articulation and entrepreneurial experimentation. The economic effects of entrepreneurial experimentation and needs articulation are mainly determined by the stage of market formation and existence of positive externalities.

Stronger user involvement; a joint innovation strategy for healthcare, academia, and industry; and institutional reform are necessary to remove blocking mechanisms that today prevent innovation from occurring.

This study is the first to provide an analysis of the system of innovation in healthcare using a functional dynamics approach, which has evolved as a tool for public policy making. A better understanding of ISs in general, and in healthcare in particular, may provide the basis for designing and evaluating innovation policy.

The purpose of this paper is to investigate the development of a culturally sensitive and end‐user‐centric software architectural framework for the development of eService applications in information and communication technologies for development (ICTD) contexts. The research is undertaken within the Siyakhula Living Lab (SLL) in South Africa.

Action research is the approach undertaken in this research with an extensive literature review to inform the development of the architecture, which is later qualitatively and quantitavely validated.

Various factors have to be taken into consideration for technology solutions to be effective in their context of deployment. The authors have provided an architecture that intrinsically enables software solutions to be developed from the ground up with concern for flexibility for context sensitivity. The PIASK architecture separates the presentation, interaction, access, social networking and knowledge base components into five distinct functional layers. This architecture is validated for: technical viability through a development of a knowledge portal in SLL; cultural sensitivity through Dooyeweerd's theory of modal aspects; and user centricity using a SALUTA‐based evaluation.

The successful evolution of any society towards a knowledge society is predicated on technology solutions that embrace and that are sensitive to the socio‐cultural diversity of that society. The PIASK architecture developed in this research is a tool that can be used in the realization of services and applications for ICTD contexts in South Africa and other third‐world countries.

The software architecture developed specifically for ICTD contexts to encapsulate context sensitivity and user centricity is the primary and novel contribution of this research.

The purpose of the paper is to introduce a systemic approach to organizational learning “triple loop learning” (TLL) that addresses processes of power. Three equally important foci in our TLL are processes of design, processes of debate and processes of power. The focus on power aims to shift “power over” (power as domination) to “power to” enact empowering designs, “power to” co-develop responsible decision-making and “power to” transform our relations with each other and with life on Earth.

The organizational learning literature is reviewed in the context of power dynamics and its shortcomings are highlighted. The authors introduce their understanding of TLL, and how it engages with power dynamics in organizations.

Peter Senge’s conceptualization of systems thinking is unable to recognize processes of power in organizations and offers limited support to transformative learning. Conceptualizations of TLL aim to enhance learning in organizations but none satisfactorily address the processes of power. The learning organization literature as a whole does not satisfactorily address processes of power or reflect our way of envisaging “looping between loops of learning” in TLL to better design, better debate and better develop relationality in the social fabric of organizations.

The authors introduce an original approach to TLL that directly addresses the processes of power in organizations. It offers researchers, learning facilitators and practitioners of the learning organization a way to engage with the processes of power without neglecting other important organizational and environmental issues.

The purpose of this article is to provide an integrated framework including knowledge management (KM), organizational learning (OL), and information and communication technologies (ICT).

A synthesis of the existing literature with preliminary supporting empirical evidence reported is presented in the article.

A theoretical framework is developed.

The results of the article can be used to guide ongoing research in the area of KM, OL, and ICT.

The paper makes a contribution to understanding in the fields of KM and OL in particular and ICT secondarily.