rss_2.0Computer Sciences FeedSciendo RSS Feed for Computer Sciences Sciences Feed Differences and Common Aspects of Logistics and Supply Chain Management<abstract> <title style='display:none'>Abstract</title> <p>Supply chain management and logistics are two concepts between which there may be differences and common aspects. The purpose of this article is to describe the two concepts as well as a comparison between the common aspects and the differences between them. The term logistics is an older term and on the other hand the term of supply chain management refers to several processes. Logistics is an activity in supply chain management. There are many differences between them, but also many common aspects but both are inseparable. Therefore, they do not contradict each other, but complement each other. Supply chain management helps logistics to stay in touch with the transport, warehousing and distribution team.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Novel Flower-Shaped Multiple Input Multiple Output Dielectric Resonator Antenna<abstract> <title style='display:none'>Abstract</title> <p>In modern communication systems, dielectric resonator antennas (DRA) play an important role due to its several advantages over contemporary antennas. In this paper, novel flower-shaped multiple input multiple output (MIMO) DRA is proposed for wireless applications in X- band. The proposed antenna with four ports displays more than -15 dB isolation between ports with defected ground technique. The antenna exhibits 7.2-7.5 GHZ impedance bandwidth and 4.66 dBi gain at 7.3 GHz. MIMO performance parameters: Envelope Correlation Coefficient (ECC) and Diversity Gain (DG) of the proposed antenna are also studied and calculated.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Extensions of Steffensen’s Method to the Space ℝ<abstract> <title style='display:none'>Abstract</title> <p>The purpose of this paper is to give some extensions of Steffensen’s method to the space ℝ<italic><sup>n</sup></italic>.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Macroeconomic Predictor for Recovery Rate of Construction and Demolition Waste. A Neural Networks Model for Romania<abstract> <title style='display:none'>Abstract</title> <p>The common values of a circular economy are concentrated in decoupling economic growth from resource consumption; resource efficiency; waste management; sharing; reducing greenhouse gas emissions; lifecycle assessments and closing loops. With the increasing cost of natural resources as a real EU scenario, industries will significantly benefit from shifting towards a more circular approach. The aim of this paper is to analyses the waste management actions, especially for construction and demolition sector, in Romania in the EU-28 context by applying statistical methods and neural network modelling to find the best macroeconomic predictor for recovery rate of construction and demolition waste for period 2010-2020.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Underwater Image Detection for Cleaning Purposes; Techniques Used for Detection Based on Machine Learning<abstract> <title style='display:none'>Abstract</title> <p>Serious problems are on the rise, especially in these current times. The world is facing too many environmental threats. Water pollution is one of the main issues threatening the future. In some parts of the world, the water’s surface is covered by mucilage, which is dangerous for both aquatic animals and humans. This article firstly defines mucilage and highlights the reasons for its production. Afterwards to tackle water pollution, cleaning systems using image detection with the help of machine learning supervised classification algorithms are highlighted. This paper showcases the machine learning and classification used as well as the best solution for convolutional neural network and region-based convolutional neural network methods.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Study and Analysis, the Partnership that Reveals the Best Solutions<abstract> <title style='display:none'>Abstract</title> <p>The field of engineering is a complex and well-developed one and thus offers various opportunities to students. Design engineering is a branch of this field that has several categories. The field of engineering involves logic and reason and imagination. The strength of 3D and 2D design is the engineer’s ability to see in space. This skill is cultivated over time and requires practice and work. Time management in favour of effort is also a very important aspect of engineering tool. Design develops with technology because nowadays everything is designed in 3D/2D CAD and CAM space. Thus, technology is the basis of computer-aided design and manufacturing. Automotive design engineering involves continuous study and analysis of the CAD working environment (programs such as CATIA, NX Siemens), the processes to be performed (welding, marking and checking stations) and the materials that can meet the project requirements (such as C45 and PA6).</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Iot and its Benefit in Feeding Domestic Pets<abstract> <title style='display:none'>Abstract</title> <p>The Internet of things (IoT) is playing an important role in nowadays world due to its ability in describing physical objects with sensors that leads to exchanging data with other devices. For this case, we use the IoT technology in this study for solving the daily feeding problem of domestic animals and offering practical solutions to pet owners leads to respond to all requests that may be needed during the regular feeding of our pets. These requests can be pouring the determined amount of food into the pet’s food container at the specified time intervals, controlling this process via the phone application created, giving an extra food with a button if desired, checking whether the pet has eaten the food by means of the weight sensor and informing the user via the phone application when necessary, controlling the pet or the environment with the camera, controlling the amount of food in the food storage tank via the ultrasonic distance sensor and informing the user. For validating this technology, we develop this method systematically and examine with practical development.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Obtaining and Characterizing the Pb(MgNb)O–Ln(MgTi)O Doped System<abstract> <title style='display:none'>Abstract</title> <p>The Pb(Mg<sub>1/3</sub>Nb<sub>2/3</sub>)O<sub>3</sub>-based ceramic system was obtained by using a modified variant of the conventional ceramic method in order to get pyrochlore-free compositions. Solid solutions obtained from Pb(Mg<sub>1/3</sub>Nb<sub>2/3</sub>)O<sub>3</sub> and Ln(Mg<sub>1/2</sub>Ti<sub>1/2</sub>)O<sub>3</sub> with Ln = Y3+, La<sup>3+</sup>, Pr<sup>3+</sup>, Nd<sup>3+</sup> and Sm3+, were synthesized using a 3-step columbite precursor method and appropriate milling and sintering conditions. The structural phases of all sintered compositions were investigated in detail. The X-ray diffraction results demonstrate that all the samples possess a perovskite structure. The influence of dopant on the incorporation degree in the solid solutions was studied. The dielectric constants at three frequencies were measured and the influence of the dopant on these values was discussed.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Experimental Examination on Performance and Emission of a Coated Diesel Engine Fueled with Diesel and Pre-Heated Coriander Oil Blends<abstract> <title style='display:none'>Abstract</title> <p>The aim of the study is to determine the effects of the preheated coriander seed oil, used as fuel, on the performance and the emission characteristics of the ceramic coated single-cylinder diesel engine. In this study, the piston, exhaust, and inlet valve of a single-cylinder air-cooled diesel engine were coated with Cr<sub>3</sub>C<sub>2</sub> at 300 µm thickness. Pure coriander oil was mixed with diesel fuel volumetrically at the rates of 30% and 50%. The plasma spray method was used as the coating method. It was determined that the preheating process provided a more suitable fuel flow, decreased the viscosity of the coriander oil and also the coating process decreased CO, soot and HC emissions but increased NOx, thermal efficiency, and EGT.</p> </abstract>ARTICLE2022-05-19T00:00:00.000+00:00Three-level Vienna Rectifier with a Brushless and Permanent Magnetless Generator for Wind Energy Conversion Systems<abstract><title style='display:none'>Abstract</title><p>This paper proposes a system design and control technique for a newly developed brushless and permanent magnetless synchronous generator-based variable-speed wind energy generation system, transferring power to a constant voltage dc grid via a three-level Vienna rectifier (VR). The recently established generator named Brushless Induction excited Synchronous Generator (BINSYG) is a wound field synchronous generator (WFSG), whose excitation is developed by controlling an Induction Machine fitted to the same machine structure and sharing the same magnetic core. A new controller is proposed that ensures the stable operation of BINSYG for a wide variation of shaft speeds. VR achieves sinusoidal input current and can control the power factor at its input, which is particularly suitable for wind energy applications. The top and bottom capacitor voltages of the VR are balanced using redundant switching combinations. The system with its proposed control algorithm is modelled in MATLAB/Simulink for a 5 kW rated BINSYG feeding power to a 750 V dc grid. The steady-state and dynamic state simulation results are presented and the controller performance is verified for a wide range of wind speeds. Further, real-time results using the OPAL-RT testbed are presented for the same system to verify the effectiveness of the overall control strategy.</p></abstract>ARTICLE2022-04-29T00:00:00.000+00:00A Hybrid Energy Storage System with Reconfigurability and Fast Equalisation<abstract><title style='display:none'>Abstract</title><p>With the rapid growth of electric vehicles (EVs) in recent years, the research on their energy storage systems (ESSs) has also shown great popularity. A traditional ESS normally has a fixed configuration and uses a single type of energy storage unit. However, this traditional design has some limitations, such as low flexibility and high requirements to unit consistency. To solve these problems, a new hybrid energy storage system is proposed in this paper. The proposed ESS hybridises multiple lithium-ion battery modules and one supercapacitor module. By controlling the states of switches inside the ESS topology, module level reconfiguration can be achieved. Further, a DC/DC converter is also included in the ESS topology, which is connected to the supercapacitor module and can be used to ensure correct ESS output voltage. Reconfiguration and active balancing algorithms are also given based on the proposed ESS topology. Situations with and without bypassing the lithium-ion battery modules are both discussed in the algorithms. The proposed hybrid ESS is finally verified with simulations. The system model is built in the Simulink/MATLAB environment. Simulation results show that the lithium-ion modules with a lower state of charge values have higher priorities to be connected in parallel. Reconfiguration actions are able to balance all lithium-ion battery modules within one Worldwide Harmonised Light-Duty Vehicle Test Cycle (WLTC) simulation cycle while maintaining ESS output voltage within a correct range. Furthermore, the proposed hybrid ESS control algorithms remain valid when one lithium-ion battery module is manually bypassed during simulation.</p></abstract>ARTICLE2022-04-29T00:00:00.000+00:00Learning Context-based Embeddings for Knowledge Graph Completion<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Purpose</title> <p>Due to the incompleteness nature of knowledge graphs (KGs), the task of predicting missing links between entities becomes important. Many previous approaches are static, this posed a notable problem that all meanings of a polysemous entity share one embedding vector. This study aims to propose a polysemous embedding approach, named KG embedding under relational contexts (ContE for short), for missing link prediction.</p> </sec> <sec><title style='display:none'>Design/methodology/approach</title> <p>ContE models and infers different relationship patterns by considering the context of the relationship, which is implicit in the local neighborhood of the relationship. The forward and backward impacts of the relationship in ContE are mapped to two different embedding vectors, which represent the contextual information of the relationship. Then, according to the position of the entity, the entity's polysemous representation is obtained by adding its static embedding vector to the corresponding context vector of the relationship.</p> </sec> <sec><title style='display:none'>Findings</title> <p>ContE is a fully expressive, that is, given any ground truth over the triples, there are embedding assignments to entities and relations that can precisely separate the true triples from false ones. ContE is capable of modeling four connectivity patterns such as symmetry, antisymmetry, inversion and composition.</p> </sec> <sec><title style='display:none'>Research limitations</title> <p>ContE needs to do a grid search to find best parameters to get best performance in practice, which is a time-consuming task. Sometimes, it requires longer entity vectors to get better performance than some other models.</p> </sec> <sec><title style='display:none'>Practical implications</title> <p>ContE is a bilinear model, which is a quite simple model that could be applied to large-scale KGs. By considering contexts of relations, ContE can distinguish the exact meaning of an entity in different triples so that when performing compositional reasoning, it is capable to infer the connectivity patterns of relations and achieves good performance on link prediction tasks.</p> </sec> <sec><title style='display:none'>Originality/value</title> <p>ContE considers the contexts of entities in terms of their positions in triples and the relationships they link to. It decomposes a relation vector into two vectors, namely, forward impact vector and backward impact vector in order to capture the relational contexts. ContE has the same low computational complexity as TransE. Therefore, it provides a new approach for contextualized knowledge graph embedding.</p> </sec> </abstract>ARTICLE2022-04-25T00:00:00.000+00:00Fighting Against Academic Misconduct: What Can Scientometricians Do? of the Open Access Modality to the Impact of Hybrid Journals Controlling by Field and Time Effects<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Purpose</title><p>Researchers are more likely to read and cite papers to which they have access than those that they cannot obtain. Thus, the objective of this work is to analyze the contribution of the Open Access (OA) modality to the impact of hybrid journals.</p></sec> <sec><title style='display:none'>Design/methodology/approach</title><p>The “research articles” in the year 2017 from 200 hybrid journals in four subject areas, and the citations received by such articles in the period 2017–2020 in the Scopus database, were analyzed. The hybrid OA papers were compared with the paywalled ones. The journals were randomly selected from those with share of OA papers higher than some minimal value. More than 60 thousand research articles were analyzed in the sample, of which 24% under the OA modality.</p></sec> <sec><title style='display:none'>Findings</title><p>We obtain at journal level that cites per article in both hybrid modalities (OA and paywalled) strongly correlate. However, there is no correlation between the OA prevalence and cites per article. There is OA citation advantage in 80% of hybrid journals. Moreover, the OA citation advantage is consistent across fields and held in time. We obtain an OA citation advantage of 50% in average, and higher than 37% in half of the hybrid journals. Finally, the OA citation advantage is higher in Humanities than in Science and Social Science.</p></sec> <sec><title style='display:none'>Research limitations</title><p>Some of the citation advantage is likely due to more access allows more people to read and hence cite articles they otherwise would not. However, causation is difficult to establish and there are many possible bias. Several factors can affect the observed differences in citation rates. Funder mandates can be one of them. Funders are likely to have OA requirement, and well-funded studies are more likely to receive more citations than poorly funded studies. Another discussed factor is the selection bias postulate, which suggests that authors choose only their most impactful studies to be open access.</p></sec> <sec><title style='display:none'>Practical implications</title><p>For hybrid journals, the open access modality is positive, in the sense that it provides a greater number of potential readers. This in turn translates into a greater number of citations and an improvement in the position of the journal in the rankings by impact factor. For researchers it is also positive because it increases the potential number of readers and citations received.</p></sec> <sec><title style='display:none'>Originality/value</title><p>Our study refines previous results by comparing documents more similar to each other. Although it does not examine the cause of the observed citation advantage, we find that it exists in a very large sample.</p></sec> </abstract>ARTICLE2022-04-25T00:00:00.000+00:00I Don’t Peer-Review for Non-Open Journals, and Neither Should You’m Nervous about Sharing This Secret with You: Youtube Influencers Generate Strong Parasocial Interactions by Discussing Personal Issues<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Purpose</title><p>Performers may generate loyalty partly through eliciting illusory personal connections with their audience, parasocial relationships (PSRs), and individual illusory exchanges, parasocial interactions (PSIs). On social media, semi-PSIs are real but imbalanced exchanges with audiences, including through comments on influencers’ videos, and strong semi-PSIs are those that occur within PSRs. This article introduces and assesses an automatic method to detect videos with strong PSI potential.</p></sec> <sec><title style='display:none'>Design/methodology/approach</title><p>Strong semi-PSIs were hypothesized to occur when commenters used a variant of the pronoun “you”, typically addressing the influencer. Comments on the videos of UK female influencer channels were used to test whether the proportion of you pronoun comments could be an automated indicator of strong PSI potential, and to find factors associating with the strong PSI potential of influencer videos. The highest and lowest strong PSI potential videos for 117 influencers were classified with content analysis for strong PSI potential and evidence of factors that might elicit PSIs.</p></sec> <sec><title style='display:none'>Findings</title><p>The you pronoun proportion was effective at indicating video strong PSI potential, the first automated method to detect any type of PSI. Gazing at the camera, head and shoulders framing, discussing personal issues, and focusing on the influencer associated with higher strong PSI potential for influencer videos. New social media factors found include requesting feedback and discussing the channel itself.</p></sec> <sec><title style='display:none'>Research limitations</title><p>Only one country, genre and social media platform was analysed.</p></sec> <sec><title style='display:none'>Practical implications</title><p>The method can be used to automatically detect YouTube videos with strong PSI potential, helping influencers to monitor their performance.</p></sec> <sec><title style='display:none'>Originality/value</title><p>This is the first automatic method to detect any aspect of PSI or PSR.</p></sec> </abstract>ARTICLE2022-04-25T00:00:00.000+00:00Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Purpose</title><p>Given the information overload of scientific literature, there is an increasing need for computable biomedical knowledge buried in free text. This study aimed to develop a novel approach to extracting and measuring uncertain biomedical knowledge from scientific statements.</p></sec> <sec><title style='display:none'>Design/methodology/approach</title><p>Taking cardiovascular research publications in China as a sample, we extracted subject–predicate–object triples (SPO triples) as knowledge units and unknown/hedging/conflicting uncertainties as the knowledge context. We introduced information entropy (IE) as potential metric to quantify the uncertainty of epistemic status of scientific knowledge represented at subject-object pairs (SO pairs) levels.</p></sec> <sec><title style='display:none'>Findings</title><p>The results indicated an extraordinary growth of cardiovascular publications in China while only a modest growth of the novel SPO triples. After evaluating the uncertainty of biomedical knowledge with IE, we identified the Top 10 SO pairs with highest IE, which implied the epistemic status pluralism. Visual presentation of the SO pairs overlaid with uncertainty provided a comprehensive overview of clusters of biomedical knowledge and contending topics in cardiovascular research.</p></sec> <sec><title style='display:none'>Research limitations</title><p>The current methods didn’t distinguish the specificity and probabilities of uncertainty cue words. The number of sentences surrounding a given triple may also influence the value of IE.</p></sec> <sec><title style='display:none'>Practical implications</title><p>Our approach identified major uncertain knowledge areas such as diagnostic biomarkers, genetic polymorphism and co-existing risk factors related to cardiovascular diseases in China. These areas are suggested to be prioritized; new hypotheses need to be verified, while disputes, conflicts, and contradictions need to be settled.</p></sec> <sec><title style='display:none'>Originality/value</title><p>We provided a novel approach by combining natural language processing and computational linguistics with informetric methods to extract and measure uncertain knowledge from scientific statements.</p></sec> </abstract>ARTICLE2022-04-25T00:00:00.000+00:00Bibliometrics Is Valuable Science. Why Do Some Journals Seem to Oppose It? Insight to the World of Female Entrepreneurship: Systematic Literature Review of the Phenomenon using the Mckinsey 7S Model<abstract> <title style='display:none'>Abstract</title> <p>The paper's main aim is to contribute to the empirical knowledge of women's entrepreneurship by utilizing the McKinsey 7S Model to explain the managerial phenomenon in women-led companies. The paper is based on secondary data sources. The data were collected from case studies presented in academic journals indexed in the Scopus and Web of Science databases. The data collection used the PRISMA 2009 method. The case studies of women-led companies were assessed in the McKinsey 7S model on a qualitative basis. The paper introduces women companies' managerial traits and procedures, which the McKinsey 7S model can recognize. In the chosen and analyzed sample of case studies dealing with female entrepreneurship, not even one directly used the McKinsey model for analysis. Results also showed that the 7S model should be used with primary data rather than to evaluate incomplete secondary data. Also, factors that lead women to start a business worldwide have been shown.</p> </abstract>ARTICLE2022-04-19T00:00:00.000+00:00Charging and Discharging Strategies for Clustered Regional Energy Storage System<abstract><title style='display:none'>Abstract</title><p>With the massive expansion of decentralised renewable energy in electricity grid networks, the power supply system has been changed from centralised to decentralised one and from directional to bi-directional one. However, due to the regional energy structure difference in the power imbalance between electricity generation and consumption is becoming more and more serious. A grid-scale energy storage system (ESS) can be one solution to balance the local difference. In this paper, two charging/discharging strategies for the grid-scale ESS were proposed to decide when and with how much power to charge/discharge the ESS. In order to realise the two strategies, this paper focuses on the application of fuzzy logic control system. The proposed strategies aim to reduce the peak power generation, consumption and the grid fluctuation. In particular, this paper analysis the ratio between energy-capacity and rated power of ESS. The performance of the proposed strategies is evaluated from two aspects, the normalised power of ESS itself and the influence on the power grid. Simulation studies were carried out on the rule-based control systems with different energy-to-power (e2p) ratios, and the results show that the proposed charging strategy with combination of extreme situation of power imbalance and the rest capacity of ESS provides a smooth load curve for the regional power grid system while the external power exchange is reduced effectively.</p></abstract>ARTICLE2022-03-31T00:00:00.000+00:00en-us-1