E. Carrera and A. Robaldo
The purpose of this paper is to present several two‐dimensional plate elements for the analysis of shear actuated laminate.
Abstract
Purpose
The purpose of this paper is to present several two‐dimensional plate elements for the analysis of shear actuated laminate.
Design/methodology/approach
The limitations of the classical formulations based on the principle of virtual displacements in depicting the peculiar behavior of the transverse and normal stresses of multilayered structures have been easily overcome by using the mixed variational theorem proposed by Reissner (Reissner mixed variational theorem). In the framework of a unified formulation (UF), the assumptions of the unknowns is made through a common expansion leading both to global and layerwise description of the assumed unknowns. In addition, the possibility to choose the order of the expansion between one and four allows to be derived and compared 22 different plate models. The performances of the proposed elements have tested on application for whom an exact solution is available in open literature.
Findings
The obtained results complain quite well with the exact ones even if the need of advanced plate models come to evidence.
Originality/value
This paper describes how the capabilities of the UF to accurately analyze multilayered structures exploiting the shear mode actuation have been tested and states that in order to extend the capabilities of the UF, further efforts should be made toward the assumptions of discontinuous electric fields (potential and normal displacement). The paper confirms the need for advanced higher order plate models in modeling of adaptive laminate.
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M. Di Gifico, P. Nali and S. Brischetto
Finite elements for the analysis of multilayered plates subjected to magneto‐electro‐elastic fields are developed in this work. An accurate description of the various field…
Abstract
Finite elements for the analysis of multilayered plates subjected to magneto‐electro‐elastic fields are developed in this work. An accurate description of the various field variables has been provided by employing a variable kinematic model which is based on the Unified Formulation, UF. Displacements, magnetic and electric potential have been chosen as independent unknowns. Equivalent single layer and layer‐wise descriptions have been accounted for. Plate models with linear up to fourth‐order distribution in the thickness direction have been compared. The extension of the principle of virtual displacements to magneto‐electro‐elastic continua has been employed to derive finite elements governing equations. According to UF these equations are presented in terms of fundamental nuclei whose form is not affected by kinematic assumptions. Results show the effectiveness of the proposed elements as well as their capability, by choosing appropriate kinematics, to accurately trace the static response of laminated plates subject to magneto‐electro‐elastic fields.
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Most developed countries have enacted privacy laws to govern the collection and use of personal information (PI) as a response to the increased misuse of PI. Yet, these laws rely…
Abstract
Purpose
Most developed countries have enacted privacy laws to govern the collection and use of personal information (PI) as a response to the increased misuse of PI. Yet, these laws rely heavily on the concept of informational self-determination through the “notice” and “consent” models, which is deeply flawed. This study aims at tackling these flaws achieve the full potential of these privacy laws.
Design/methodology/approach
The author critically reviews the concept of informational self-determination through the “notice” and “consent” model identifying its main flaws and how they can be tackled.
Findings
Existing approaches present interesting ideas and useful techniques that focus on tackling some specific problems of informational self-determination but fail short in proposing a comprehensive solution that tackles the essence of the overall problem.
Originality/value
This study introduces a model for informed consent, a proposed architecture that aims at empowering individuals (data subjects) to take an active role in the protection of their PI by simplifying the informed consent transaction without reducing its effectiveness, and an ontology that can partially realize the proposed architecture.
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Ni Zhang, Yi-fei Pu, Suiquan Yang, Jinkang Gao, Zhu Wang and Ji-liu Zhou
This paper aims to build a legal intelligent auxiliary discretionary system for predicting the penalty and damage compensation values. After extensively considering current the…
Abstract
Purpose
This paper aims to build a legal intelligent auxiliary discretionary system for predicting the penalty and damage compensation values. After extensively considering current the characteristics of the current Chinese legal system, a practical legal intelligent auxiliary discretionary system based on genetic algorithm-backpropagation (GA-BP) neural network (NN) is proposed herein.
Design/methodology/approach
An experiment is designed to analyze cases involving mental anguish compensation in medical disputes, and a Chinese legal intelligent auxiliary discretionary adviser system is built based on a GA-BP NN. Because BP neural networks perform well for nonlinear problems and GAs can improve their ability to find optimal values, and accelerate their convergence, a combined GA–BP algorithm is used. In addition, an ontology is used to reduce the semantic ambiguities and extract the implied semantic information.
Findings
We confirm that a case-based legal intelligent auxiliary discretionary adviser system based on a GA-BP NN and ontology techniques has good performance in prediction. By predicting the mental anguish compensation values, the legal intelligent auxiliary discretionary adviser system can help judges to handle cases more quickly and ordinary people to discover the suggested compensation or penalty. In contrast to BP NN or SVM, the result seems more close to the actual compensation rate.
Practical implications
Recently, smart court has been developed in China; the purpose of which is to build the legal advice system for improving judicial justice and reducing differences in sentencing. A practical legal advice system is an urgent requirement for the judiciary.
Originality/value
This paper presents a study of a case-based legal intelligent auxiliary discretionary adviser system based on a GA-BP NN and ontology techniques. The findings offer advice to optimize legal intelligent auxiliary discretionary adviser systems for mental anguish compensation in medical disputes.
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Usman Ahmad Qadri, Mazuri Binti abd Ghani, Shumaila Bibi, Abdul Haseeb Tahir, Muhammad Imran Farooq and Abdul Rauf Kashif
The aim of this study is to investigate the serially mediating effect of knowledge management (KM) practices (namely, knowledge creation, storage and sharing) on the…
Abstract
Purpose
The aim of this study is to investigate the serially mediating effect of knowledge management (KM) practices (namely, knowledge creation, storage and sharing) on the organizational learning (OL) and organizational performance (OP) relationships during a crisis.
Design/methodology/approach
Based on theories-of-action, knowledge-based and resource-based theories, this study proposed a sequential mediation model where OL underlying mechanisms through which KM practices have facilitated OP during the crisis. The sample dataset contains 440 responses collected from the managers of the software development companies in Pakistan. The authors used Hayes Process macro with SPSS to test the study hypotheses.
Findings
The results of the study reveal that knowledge creation, storage and sharing serially mediate the relationships between OL and OP. These findings strengthen the argument suggesting that OL plays the key role in KM that helps software companies to mend their performance in times of crisis.
Originality/value
This study contributes to the KM literature in two ways: (1) grounded on the study's proposed framework, organizations can improve and manage their businesses in times of crisis and (2) learn how to generate new knowledge in response to business crises.
研究目的
本研究擬探討在危機中,知識管理做法(即知識的創造、儲存和分享),如何連續地在組織學習與組織績效之間的聯繫上起著仲介效應
研究方法
研究以行為理論、知識基礎理論和資源基礎理論之論據,提出了一個系統化的仲介模型,闡釋知識管理如何在危機中、透過以組織學習為基礎之機制,去促進組織之績效。數據集為取自在巴基斯坦的軟件開發公司工作的主管的440個調查答覆;我們以 Hayes, A. F. 的 PROCESS macro、並附以 SPSS,去測試我們的研究假設。
研究結果
研究結果顯示、知識的創造、儲存和分享,會在組織學習與組織績效之間的聯繫上,起著連續性的仲介效應。知識管理被認為可幫助軟件公司在危機中改善其表現不足之處,而組織學習在知識管理上或許扮演著關鍵的角色。研究結果強化了肯定這個角色的論據。
研究的原創性
本研究對知識管理文獻有兩方面的貢獻: (一)若以本研究提出的框架為基礎,組織可於危機中改善及管理其業務; (二)組織可學習如何創造新的知識,以能應對業務上極其困難的時刻。
關鍵詞
組織學習、知識管理做法、組織績效、行為理論、2019冠狀病毒疫情危機、軟件開發產業.
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Jenish Dhanani, Rupa Mehta and Dipti P. Rana
In the Indian judicial system, the court considers interpretations of similar previous judgments for the present case. An essential requirement of legal practitioners is to…
Abstract
Purpose
In the Indian judicial system, the court considers interpretations of similar previous judgments for the present case. An essential requirement of legal practitioners is to determine the most relevant judgments from an enormous amount of judgments for preparing supportive, beneficial and favorable arguments against the opponent. It urges a strong demand to develop a Legal Document Recommendation System (LDRS) to automate the process. In existing works, traditionally preprocessed judgment corpus is processed by Doc2Vec to learn semantically rich judgment embedding space (i.e. vector space). Here, vectors of semantically relevant judgments are in close proximity, as Doc2Vec can effectively capture semantic meanings. The enormous amount of judgments produces a huge noisy corpus and vocabulary which possesses a significant challenge: traditional preprocessing cannot fully eliminate noisy data from the corpus and due to this, the Doc2Vec demands huge memory and time to learn the judgment embedding. It also adversely affects the recommendation performance in terms of correctness. This paper aims to develop an effective and efficient LDRS to support civilians and the legal fraternity.
Design/methodology/approach
To overcome previously mentioned challenges, this research proposes the LDRS that uses the proposed Generalized English and Indian Legal Dictionary (GEILD) which keeps the corpus of relevant dictionary words only and discards noisy elements. Accordingly, the proposed LDRS significantly reduces the corpus size, which can potentially improve the space and time efficiency of Doc2Vec.
Findings
The experimental results confirm that the proposed LDRS with GEILD yield superior performance in terms of accuracy, F1-Score, MCC-Score, with significant improvement in the space and time efficiency.
Originality/value
The proposed LDRS uses the customized domain-specific preprocessing and novel legal dictionary (i.e. GEILD) to precisely recommend the relevant judgments. The proposed LDRS can be incorporated with online legal search repositories/engines to enrich their functionality.
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Kun Chen, Xin Li and Huaiqing Wang
Although big data analytics has reaped great business rewards, big data system design and integration still face challenges resulting from the demanding environment, including…
Abstract
Purpose
Although big data analytics has reaped great business rewards, big data system design and integration still face challenges resulting from the demanding environment, including challenges involving variety, uncertainty, and complexity. These characteristics in big data systems demand flexible and agile integration architectures. Furthermore, a formal model is needed to support design and verification. The purpose of this paper is to resolve the two problems with a collective intelligence (CI) model.
Design/methodology/approach
In the conceptual CI framework as proposed by Schut (2010), a CI design should be comprised of a general model, which has formal form for verification and validation, and also a specific model, which is an implementable system architecture. After analyzing the requirements of system integration in big data environments, the authors apply the CI framework to resolve the integration problem. In the model instantiation, the authors use multi-agent paradigm as the specific model, and the hierarchical colored Petri Net (PN) as the general model.
Findings
First, multi-agent paradigm is a good implementation for reuse and integration of big data analytics modules in an agile and loosely coupled method. Second, the PN models provide effective simulation results in the system design period. It gives advice on business process design and workload balance control. Third, the CI framework provides an incrementally build and deployed method for system integration. It is especially suitable to the dynamic data analytics environment. These findings have both theoretical and managerial implications.
Originality/value
In this paper, the authors propose a CI framework, which includes both practical architectures and theoretical foundations, to solve the system integration problem in big data environment. It provides a new point of view to dynamically integrate large-scale modules in an organization. This paper also has practical suggestions for Chief Technical Officers, who want to employ big data technologies in their companies.