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Intelligent prediction of node localization in wireless sensor networks (WSNs) is a major concern for researchers. The huge amount of data generated by modern sensor array systems required computationally efficient calibration techniques. This paper aims to improve localization accuracy by identifying obstacles in the optimization process and network scenarios.

The proposed method is used to incorporate distance estimation between nodes and packet transmission hop counts. This estimation is used in the proposed support vector machine (SVM) to find the network path using a time difference of arrival (TDoA)-based SVM. However, if the data set is noisy, SVM is prone to poor optimization, which leads to overlapping of target classes and the pathways through TDoA. The enhanced gray wolf optimization (EGWO) technique is introduced to eliminate overlapping target classes in the SVM.

The performance and efficacy of the model using existing TDoA methodologies are analyzed. The simulation results show that the proposed TDoA-EGWO achieves a higher rate of detection efficiency of 98% and control overhead of 97.8% and a better packet delivery ratio than other traditional methods.

The proposed method is successful in detecting the unknown position of the sensor node with a detection rate greater than that of other methods.

This paper aims to estimate contact location from sparse and high-dimensional soft tactile array sensor data using the tactile image. The authors used three feature extraction methods: handcrafted features, convolutional features and autoencoder features. Subsequently, these features were mapped to contact locations through a contact location regression network. Finally, the network performance was evaluated using spherical fittings of three different radii to further determine the optimal feature extraction method.

This paper aims to estimate contact location from sparse and high-dimensional soft tactile array sensor data using the tactile image.

This research indicates that data collected by probes can be used for contact localization. Introducing a batch normalization layer after the feature extraction stage significantly enhances the model’s generalization performance. Through qualitative and quantitative analyses, the authors conclude that convolutional methods can more accurately estimate contact locations.

The paper provides both qualitative and quantitative analyses of the performance of three contact localization methods across different datasets. To address the challenge of obtaining accurate contact locations in quantitative analysis, an indirect measurement metric is proposed.

Light field images (LFIs) have gained popularity as a technology to increase the field of view (FoV) of plenoptic cameras since they can capture information about light rays with a large FoV. Wide FoV causes light field (LF) data to increase rapidly, which restricts the use of LF imaging in image processing, visual analysis and user interface. Effective LFI coding methods become of paramount importance. This paper aims to eliminate more redundancy by exploring sparsity and correlation in the angular domain of LFIs, as well as mitigate the loss of perceptual quality of LFIs caused by encoding.

This work proposes a new efficient LF coding framework. On the coding side, a new sampling scheme and a hierarchical prediction structure are used to eliminate redundancy in the LFI's angular and spatial domains. At the decoding side, high-quality dense LF is reconstructed using a view synthesis method based on the residual channel attention network (RCAN).

In three different LF datasets, our proposed coding framework not only reduces the transmitted bit rate but also maintains a higher view quality than the current more advanced methods.

(1) A new sampling scheme is designed to synthesize high-quality LFIs while better ensuring LF angular domain sparsity. (2) To further eliminate redundancy in the spatial domain, new ranking schemes and hierarchical prediction structures are designed. (3) A synthetic network based on RCAN and a novel loss function is designed to mitigate the perceptual quality loss due to the coding process.

Sorting is a very important algorithm to solve problems in computer science. The most well-known divide and conquer sorting algorithm is quicksort. It starts with dividing the data into subarrays and finally sorting them.

In this paper, the algorithm named Dual Parallel Partition Sorting (DPPSort) is analyzed and optimized. It consists of a partitioning algorithm named Dual Parallel Partition (DPPartition). The DPPartition is analyzed and optimized in this paper and sorted with standard sorting functions named qsort and STLSort which are quicksort, and introsort algorithms, respectively. This algorithm is run on any shared memory/multicore systems. OpenMP library which supports multiprocessing programming is developed to be compatible with C/C++ standard library function. The authors’ algorithm recursively divides an unsorted array into two halves equally in parallel with Lomuto's partitioning and merge without compare-and-swap instructions. Then, qsort/STLSort is executed in parallel while the subarray is smaller than the sorting cutoff.

In the authors’ experiments, the 4-core Intel i7-6770 with Ubuntu Linux system is implemented. DPPSort is faster than qsort and STLSort up to 6.82× and 5.88× on Uint64 random distributions, respectively.

The authors can improve the performance of the parallel sorting algorithm by reducing the compare-and-swap instructions in the algorithm. This concept can be used to develop related problems to increase speedup of algorithms.

The purpose of this paper is to gain a better understanding on how metasurfaces behave, in terms of currents in each unit cell. A better knowledge of their behavior could lead to an ad-hoc design for specific applications.

The methodology used is both theoretical and numerical; it is based on circuit theory and on an optimization procedure.

The results show that when the knowledge of the current in each unit cell of a metasurface is needed, the most common approximations currently used are often not accurate. Furthermore, a procedure for the termination of a metasurface, with application-driven goals, is given.

This paper investigates the distribution of the currents in a 2D metamaterial realized with magnetically coupled resonant coils. Different models for the analysis of these structures are illustrated, and the effects of the approximations they introduce on the current values are shown and discussed. Furthermore, proper terminations of the resonators on the boundaries have been investigated by implementing a numerical optimization procedure with the purpose of achieving a uniform distribution of the resonator currents. The results show that the behavior of a metasurface (in terms of currents in each single resonator) depends on different properties; as a consequence, their design is not a trivial task and is dependent on the specific applications they are designed for. A design strategy, with lumped impedance termination, is here proposed.

The extant literature emphasizes that the perspective of bricolage is significantly augmenting the core of entrepreneurship research, and, per se, it has made considerable contributions to understanding resource mobilization and organizational processes in entrepreneurial ventures. Entrepreneurial bricolage literature lacks a unified and holistic conceptual framework that could represent a coherence of diverse bricolage forms and their related capabilities in entrepreneurship. To address this issue, this study aims to develop a comprehensive typology framework of entrepreneurial bricolage based on the theoretical synthesis of the prior research.

By comparing and synthesizing the existing bricolage forms into a holistic and persistent typology, the authors present an integrated framework of 13 bricolage capabilities that contributes to resource acquisition and resource mobilization as well as facilitate the entrepreneurial processes of opportunity recognition and opportunity exploitation in firms.

The study synthesizes a wide array of research on entrepreneurial bricolage for shaping the resource acquisition and resource mobilization processes in entrepreneurial ventures and presents a typology-based framework for further discussion and research. By mapping the existing research and relevant dimensions into a typology-based entrepreneurial bricolage framework, the study extends and contributes to the current theorizing and conceptual building.

The study would help practitioners and researchers to recognize bricolage capabilities and the common ties among them, leading to further advances in entrepreneurship theory and practice.

As the body of knowledge regarding entrepreneurial bricolage has grown, so has the number of its different forms, concepts and constructs. The authors recognize that there is distinctiveness as well as overlaps among diverse forms, concepts and constructs of entrepreneurial bricolage. Further, the authors identify a new bricolage capability that has not until now been positioned in the extant frameworks.

Senior executives and leaders of public sector institutions (PSIs) are responsible for the development, preservation or restoration of employee integrity (EI). This conceptual paper aims to address the direct impact of EI on work performance (WP). It also explores the interceding effects of job satisfaction (JS) and employee organisational identification (OI) and the context-conditional impact of purposeful leadership (PL).

This research builds a research framework coupled with suppositions by integrating literature from both theoretical and empirical works in the fields of integrity management, human resource management, performance management and leadership using a systematic literature review approach. Firstly, the authors explicitly express the authors’ list of goals through replicable design. Secondly, the authors find all research papers that would satisfy the requirements for inclusion. Thirdly, the authors evaluate the truthfulness of the results from the incorporated research, and, finally, the authors offer a summary and synthesis of the features and outcomes of the incorporated research.

This study finds that EI will be favourably linked to WP, and this encouraging connection will be favourably interceded by JS and OI, both independently and together. Also, PL will favourably moderate the EI–JS connection as well as the EI–OI linkage.

This study provides a novel framework for specialists and academics in four multidisciplinary fields for improving the EI and WP of employees using JS and OI as strategic devices. It also considers the conditional influence of PL, which has been underexploited in the academic sphere. Thus, this research sets the stage for forthcoming academics to investigate this research framework empirically in diverse PSIs worldwide.

To guarantee that PSIs draw, grow and preserve workers who symbolise the beliefs of the institution, their leadership must uphold a “values-grounded approach” to all facets of its human resource practises – comprising recruitment, performance appraisals, training, leadership development platforms and promotions.

This study reveals the importance of improving integrity in PSIs and the diverse mechanisms through which EI translates into WP. It also highlights the possible benefits that purposeful leaders can offer as well as the problems that they can potentially help mitigate.

This research adds to the sparse literature on the construct of PL within PSIs’ settings and offers a new conceptual model for boosting employee WP through the facilitating roles of JS and OI, both separately and together.

This study aims to explore the experiences of non-offending partners (NOPs) of men who perpetrated contact and non-contact sexual offences.

In-depth semi-structured interviews were carried out with eight women and analysed using interpretative phenomenological analysis.

Findings yielded two superordinate themes, eight subordinate themes and an overarching theme. The first superordinate theme “Paying for their Husband’s Transgressions” captured many ways in which the women’s lives were impacted by their husbands offending. The second superordinate theme “Navigating the Darkness” encompassed the women’s experiences of trying to adapt to their new lives. The overarching theme “A Contaminated Life” pertained to the shared experiences of the women who all described encountering instant and profound consequences. This research highlighted the need for immediate signposting to support services for NOPs. The value of a humanistic counselling approach paired with forensic expertise was also identified. Future research with cross-cultural samples and same sex-couples would enrich the current understanding of this experience.

This research highlighted the need for immediate signposting to support services for NOPs. The value of a humanistic counselling approach paired with forensic expertise was also identified.

Qualitative research on the experiences of NOPs of men who perpetrated sexual offences is sparse. Furthermore, existing research focuses on the experiences of women who’s own children were abused, with the partners of men who have perpetrated extra-familial or non-contact offenses remaining largely neglected.

Cross-laminated timber (CLT) is an innovative construction material that provides a balanced mix of structural stiffness, fabrication flexibility and sustainability. CLT development and innovation diffusion require close collaborations between its supply chain architectural, engineering, construction and manufacturing (AECM) stakeholders. As such, the purpose of this study is to provide a preliminary understanding of the knowledge diffusion and innovation process of CLT construction.

The study implemented a longitudinal social network analysis of the AECM companies involved in 100 CLT projects in the UK. The project data were acquired from an industry publication and decoded in the form of a multimode project-company network, which was projected into a single-mode company collaborative network. This complete network was filtered into a four-phase network to allow the longitudinal analysis of the CLT collaborations over time. A set of network and node social network analysis metrics was used to characterize the topology patters of the network and the centrality of the companies.

The study highlighted the scale-free structure of the CLT collaborative network that depends on the influential hubs of timber manufacturers, engineers and contractors to accelerate the innovation diffusion. However, such CLT supply collaborative network structure is more vulnerable to disruptions due to its dependence on these few prominent hubs. Also, the industry collaborative network’s decreased modularity confirms the maturity of the CLT technology and the formation of cohesive clusters of innovation partners. The macro analysis approach of the study highlighted the critical role of supply chain upstream stakeholders due to their higher centralities in the collaborative network. Stronger collaborations were found between the supply chain upstream stakeholders (timber manufacturers) and downstream stakeholders (architects and main contractors).

The study contributes to the field of industrialized and CLT construction by characterizing the collaborative networks between CLT supply chain stakeholders that are critical to propose governmental policies and industry initiatives to advance this sustainable construction material.

Cloud computing originated in central data centers that are connected to the backbone of the Internet. The network transport to and from a distant data center incurs long latencies that hinder modern low-latency applications. In order to flexibly support the computing demands of users, cloud computing is evolving toward a continuum of cloud computing resources that are distributed between the end users and a distant data center. The purpose of this review paper is to concisely summarize the state-of-the-art in the evolving cloud computing field and to outline research imperatives.

The authors identify two main dimensions (or axes) of development of cloud computing: the trend toward flexibility of scaling computing resources, which the authors denote as Flex-Cloud, and the trend toward ubiquitous cloud computing, which the authors denote as Ubi-Cloud. Along these two axes of Flex-Cloud and Ubi-Cloud, the authors review the existing research and development and identify pressing open problems.

The authors find that extensive research and development efforts have addressed some Ubi-Cloud and Flex-Cloud challenges resulting in exciting advances to date. However, a wide array of research challenges remains open, thus providing a fertile field for future research and development.

This review paper is the first to define the concept of the Ubi-Flex-Cloud as the two-dimensional research and design space for cloud computing research and development. The Ubi-Flex-Cloud concept can serve as a foundation and reference framework for planning and positioning future cloud computing research and development efforts.