scholarly journals Feasibility study for the analysis of coconut water using fluorescence spectroscopy coupled with PARAFAC and SVM methods

2020 ◽  
Vol 122 (10) ◽  
pp. 3203-3212
Author(s):  
Haiyang Gu ◽  
Kaiqi Liu ◽  
Xingyi Huang ◽  
Quansheng Chen ◽  
Yanhui Sun ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Design Methodology ◽  
Detection Method ◽  
Three Dimensional ◽  
Coconut Water ◽  
Support Vector ◽  
Training Set ◽  
Content Type ◽  
Variation Data ◽  
Parallel Factor

PurposeParallel factor analysis (PARAFAC) coupled with support-vector machine (SVM) was carried out to identify and discriminate between the fluorescence spectroscopies of coconut water brands.Design/methodology/approachPARAFAC was applied to reduce three-dimensional data of excitation emission matrix (EEM) to two-dimensional data. SVM was applied to discriminate between six commercial coconut water brands in this study. The three largest variation data from fluorescence spectroscopy were extracted using the PARAFAC method as the input data of SVM classifiers.FindingsThe discrimination results of the six commercial coconut water brands were achieved by three SVM methods (Ga-SVM, PSO-SVM and Grid-SVM). The best classification accuracies were 100.00%, 96.43% and 94.64% for the training set, test set and CV accuracy.Originality/valueThe above results indicate that fluorescence spectroscopy combined with PARAFAC and SVM methods proved to be a simple and rapid detection method for coconut water and perhaps other beverages.

A set of parameters for automatically annotating a Sentiment Arabic Corpus

2019 ◽  
Vol 15 (5) ◽  
pp. 594-615
Author(s):  
Guellil Imane ◽  
Darwish Kareem ◽  
Azouaou Faical
Keyword(s):  
Design Methodology ◽  
Support Vector ◽  
Training Set ◽  
Training Corpus ◽  
Content Type ◽  
Sentiment Lexicon ◽  
Vector Machines ◽  
Automated Processing ◽  
The Right ◽  
Large Corpus

Purpose This paper aims to propose an approach to automatically annotate a large corpus in Arabic dialect. This corpus is used in order to analyse sentiments of Arabic users on social medias. It focuses on the Algerian dialect, which is a sub-dialect of Maghrebi Arabic. Although Algerian is spoken by roughly 40 million speakers, few studies address the automated processing in general and the sentiment analysis in specific for Algerian. Design/methodology/approach The approach is based on the construction and use of a sentiment lexicon to automatically annotate a large corpus of Algerian text that is extracted from Facebook. Using this approach allow to significantly increase the size of the training corpus without calling the manual annotation. The annotated corpus is then vectorized using document embedding (doc2vec), which is an extension of word embeddings (word2vec). For sentiments classification, the authors used different classifiers such as support vector machines (SVM), Naive Bayes (NB) and logistic regression (LR). Findings The results suggest that NB and SVM classifiers generally led to the best results and MLP generally had the worst results. Further, the threshold that the authors use in selecting messages for the training set had a noticeable impact on recall and precision, with a threshold of 0.6 producing the best results. Using PV-DBOW led to slightly higher results than using PV-DM. Combining PV-DBOW and PV-DM representations led to slightly lower results than using PV-DBOW alone. The best results were obtained by the NB classifier with F1 up to 86.9 per cent. Originality/value The principal originality of this paper is to determine the right parameters for automatically annotating an Algerian dialect corpus. This annotation is based on a sentiment lexicon that was also constructed automatically.

A biomimetic 3D airflow sensor made of an array of two piezoelectric metal-core fibers

Sensor Review ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Yixiang Bian ◽  
Can He ◽  
Kaixuan Sun ◽  
Longchao Dai ◽  
Hui Shen ◽  
...  
Keyword(s):  
Design Methodology ◽  
Spherical Surface ◽  
Three Dimensional ◽  
Three Dimensions ◽  
Piezoceramic Cylinder ◽  
Metal Core ◽  
Content Type ◽  
3D Space ◽  
Highly Sensitive ◽  
Airflow Sensor

Purpose The purpose of this paper is to design and fabricate a three-dimensional (3D) bionic airflow sensing array made of two multi-electrode piezoelectric metal-core fibers (MPMFs), inspired by the structure of a cricket’s highly sensitive airflow receptor (consisting of two cerci). Design/methodology/approach A metal core was positioned at the center of an MPMF and surrounded by a hollow piezoceramic cylinder. Four thin metal films were spray-coated symmetrically on the surface of the fiber that could be used as two pairs of sensor electrodes. Findings In 3D space, four output signals of the two MPMFs arrays can form three “8”-shaped spheres. Similarly, the sensing signals for the same airflow are located on a spherical surface. Originality/value Two MPMF arrays are sufficient to detect the speed and direction of airflow in all three dimensions.

Comparison of the reluctance laminated and solid rotor synchronous machine operating at high temperatures

2019 ◽  
Vol 38 (4) ◽  
pp. 1111-1119 ◽  
Author(s):  
Marcin Lefik ◽  
Krzysztof Komeza ◽  
Ewa Napieralska-Juszczak ◽  
Daniel Roger ◽  
Piotr Andrzej Napieralski
Keyword(s):  
High Speed ◽  
Design Methodology ◽  
Three Dimensional ◽  
Synchronous Machine ◽  
Point Of View ◽  
Heat Sources ◽  
Model Calculations ◽  
Content Type ◽  
Thermal Phenomenon ◽  
Practical Implications

Purpose The purpose of this paper is to present a comparison between reluctance synchronous machine-enabling work at high internal temperature (HT° machine) with laminated and solid rotor. Design/methodology/approach To obtain heat sources for the thermal model, calculations of the electromagnetic field were made using the Opera 3D program including effect of rotation and the resulting eddy current losses. To analyse the thermal phenomenon, the 3D coupled thermal-fluid (CFD) model is used. Findings The presented results show clearly that laminated construction is much better from a point of view of efficiency and temperature. However, solid construction can be interesting for high speed machines due to their mechanical robustness. Research limitations/implications The main problem, despite the use of parallel calculations, is the long calculation time. Practical implications The obtained simulation and experimental results show the possibility of building a machine operating at a much higher ambient temperature than it was previously produced for example in the vicinity of the aircraft turbines. Originality/value The paper presents the application of fully three-dimensional coupled electromagnetic and thermal analysis of new machine constructions designed for elevated temperature.

Buckling analysis of a delaminated panel by using a kinematic global-local coupling approach

2014 ◽  
Vol 5 (4) ◽  
pp. 262-278
Author(s):  
A. Sellitto ◽  
R. Borrelli ◽  
F. Caputo ◽  
A. Riccio ◽  
F. Scaramuzzino
Keyword(s):  
Design Methodology ◽  
Three Dimensional ◽  
Matrix Cracking ◽  
Composite Panel ◽  
Stiffened Panel ◽  
Local Approach ◽  
Content Type ◽  
Kinematic Coupling ◽  
Coupling Approach ◽  
Delamination Front

Purpose – The purpose of this paper is to investigate on the behaviour of a delaminated stiffened panel; the delamination growth is simulated via fracture elements implemented in B2000++® code based on the Modified Virtual Crack Closure Technique (MVCCT), matrix cracking and fibre failure have been also taken into account. Design/methodology/approach – In order to correctly apply the MVCCT on the delamination front a very fine three-dimensional (3D) mesh is required very close to the delaminated area, while a 2D-shell model has been employed for the areas of minor interest. In order to couple the shell domain to the solid one, shell-to-solid coupling elements based on kinematic constraints have been used. Findings – Results obtained with the global/local approach are in good correlation with those obtained with experimental results. Originality/value – The global/local approach based on kinematic coupling elements in conjunction with fracture elements allows to investigate and predict the behaviour of a stiffened delaminated composite panel in an efficient and effective way.

Service quality function deployment by the C-shaped QFD 3D matrix

2018 ◽  
Vol 25 (9) ◽  
pp. 3386-3405 ◽  
Author(s):  
Maryam Hassani ◽  
Arash Shahin ◽  
Manouchehr Kheradmandnia
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Customer Requirements ◽  
Content Type ◽  
Process Characteristics ◽  
The Matrix ◽  
3D Matrix ◽  
Simultaneous Comparison

Purpose The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively. Design/methodology/approach A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank. Findings Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively. Research limitations/implications While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes. Originality/value Compared to the studied literature, the proposed approach is practically new in the post bank services.

Seven information practices for alleviating information vulnerability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Devendra Dilip Potnis ◽  
Joseph Winberry
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Information Science ◽  
Information Access ◽  
Three Dimensional ◽  
Content Type ◽  
Information Practices ◽  
Information Professionals ◽  
Practical Implications ◽  
Real World Problems

PurposeThis literature review aims to identify conscious, intentional, repetitive and transferrable information-related decisions and activities (i.e. information practices) for individuals to alleviate their information vulnerability. Information vulnerability refers to the lack of access to accurate, affordable, complete, relevant and timely information or the inability to use such information, which can place individuals, communities or society at disadvantage or hurt them.Design/methodology/approachConceptual literature review.FindingsThis review presents seven conscious, intentional, repetitive and transferrable information practices to alleviate information vulnerability.Practical implicationsDue to the transferability potential of the seven information practices, diverse populations in varied contexts could refer to, adapt and benefit from appropriate combinations of information practices and their manifestations. The framework can be used by individuals for alleviating information vulnerability. Thus, this paper responds to the call for conducting action-driven research in information science for addressing real-world problems. Information professionals can help individuals select and implement appropriate combinations of seven information practices for alleviating information vulnerability.Originality/valueWe propose (1) a parsimonious, episodic framework for alleviating information vulnerability, which depicts the inter-relationship among the seven information practices and (2) a three-dimensional plot with information access, use and value as three axes to map the manifestation and outcome of alleviating information vulnerability.

Sentiment classification of Chinese cosmetic reviews based on integration of collocations and concepts

2019 ◽  
Vol 38 (1) ◽  
pp. 155-169
Author(s):  
Chihli Hung ◽  
You-Xin Cao
Keyword(s):  
Design Methodology ◽  
Classification Performance ◽  
Sentiment Classification ◽  
Support Vector ◽  
Research Approach ◽  
Content Type ◽  
Novel Approach ◽  
The Relationship ◽  
Modelling Approach

Purpose This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification. Design/methodology/approach This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts. Findings This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy. Originality/value This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.

A fast algorithm for the adaptive discretization of 3D parametric curves

2019 ◽  
Vol 37 (5) ◽  
pp. 1663-1682
Author(s):  
Jianming Zhang ◽  
Chuanming Ju ◽  
Baotao Chi
Keyword(s):  
Mesh Generation ◽  
Fast Algorithm ◽  
Design Methodology ◽  
Three Dimensional ◽  
Parametric Curves ◽  
Content Type ◽  
Gaussian Integration ◽  
Optimal Discretization ◽  
Adaptive Discretization ◽  
Conventional Algorithm

Purpose The purpose of this paper is to present a fast algorithm for the adaptive discretization of three-dimensional parametric curves. Design/methodology/approach The proposed algorithm computes the parametric increments of all segments to obtain the parametric coordinates of all discrete nodes. This process is recursively applied until the optimal discretization of curves is obtained. The parametric increment of a segment is inversely proportional to the number of sub-segments, which can be subdivided, and the sum of parametric increments of all segments is constant. Thus, a new expression for parametric increment of a segment can be obtained. In addition, the number of sub-segments, which a segment can be subdivided is calculated approximately, thus avoiding Gaussian integration. Findings The proposed method can use less CPU time to perform the optimal discretization of three-dimensional curves. The results of curves discretization can also meet requirements for mesh generation used in the preprocessing of numerical simulation. Originality/value Several numerical examples presented have verified the robustness and efficiency of the proposed algorithm. Compared with the conventional algorithm, the more complex the model, the more time the algorithm saves in the process of curve discretization.

University context matter

2018 ◽  
Vol 60 (7/8) ◽  
pp. 873-890 ◽  
Author(s):  
Elin Merethe Oftedal ◽  
Tatiana A. Iakovleva ◽  
Lene Foss
Keyword(s):  
Design Methodology ◽  
Social Systems ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Opportunity Recognition ◽  
Entrepreneurial Intentions ◽  
Cognitive Structures ◽  
Content Type ◽  
Structural Context ◽  
Educational Programmes

PurposeHow university context (UC) enhances students’ entrepreneurial intentions and opportunity recognition is an emerging topic. It is known that students learn, not only from educational programmes, but also from the context in which they are embedded. The purpose of this paper is to investigate the effect of such context on student’s entrepreneurial intentions and opportunity recognition.Design/methodology/approachThe authors use a three-dimensional institutional framework to describe UC including regulative, normative and cognitive structures. Regulative structures refer to rules and regulations, support initiatives in relation to entrepreneurship; normative structures include shared values and norms; while cognitive structures apply to knowledge among students and faculty. A heterogeneous sample of 196 respondents from five countries was used to create reliable measures of UC and to test the hypotheses with the help of regression analysis.FindingsThe findings indicate that two dimensions of UC in particular (regulative and normative) were shown to be of great importance in increasing entrepreneurial intentions and opportunity recognition among students.Originality/valueThe study contributes to this further by suggesting a reliable and theory-grounded scale of UC. Furthermore, this study adds to the discussion on entrepreneurship education by proving evidence of the importance of UC on entrepreneurial intentions. The important contribution is acknowledgement of the fact that social systems both constrain and enable entrepreneurs in their discovery, evaluation and exploitation of opportunities. The authors have established that “would-be student entrepreneurs” do not exist separately from their structural context. Attempts to understand them outside of this context cannot, therefore, fully capture their nature.

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