bluuebunny/crossref_metadata_2025 huggingface dataset:
Winding Tensor Approach for the Analytical Computation of the Inductance Matrix in Eccentric Induction Machines
Authors: Martinez-Roman Javier , Puche-Panadero Ruben , Sapena-Bano Angel , Pineda-Sanchez Manuel , Perez-Cruz Juan , Riera-Guasp Martin
Published: May 2020

Induction machines (IMs) are critical components of many industrial processes, what justifies the use of condition-based maintenance (CBM) systems for detecting their faults at an early stage, in order to avoid costly breakdowns of production lines. The development of CBM systems for IMs relies on the use of fast models that can accurately simulate the machine in faulty conditions. In particular, IM models must be able to reproduce the characteristic harmonics that the IM faults impress in the spatial waves of the air gap magneto-motive force (MMF), due to the complex interactions between spatial and time harmonics. A common type of fault is the eccentricity of the rotor core, which provokes an unbalanced magnetic pull, and can lead to destructive rotor-stator rub. Models developed using the finite element method (FEM) can achieve the required accuracy, but their high computational costs hinder their use in online CBM systems. Analytical models are much faster, but they need an inductance matrix that takes into account the asymmetries generated by the eccentricity fault. Building the inductance matrix for eccentric IMs using traditional techniques, such as the winding function approach (WFA), is a highly complex task, because these functions depend on the combined effect of the winding layout and of the air gap asymmetry. In this paper, a novel method for the fast and simple computation of the inductance matrix for eccentric IMs is presented, which decouples the influence of the air gap asymmetry and of the winding configuration using two independent tensors. It is based on the construction of a primitive inductance tensor, which formulates the eccentricity fault using single conductors as the simplest reference frame; and a winding tensor that converts it into the inductance matrix of a particular machine, taking into account the configuration of the windings. The proposed approach applies routine procedures from tensor algebra for performing such transformation in a simple way. It is theoretically explained and experimentally validated with a commercial induction motor with a mixed eccentricity fault.
A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation
Authors: Yang WonSeok , Hong Jun-Yong , Kim Jeong-Youn , Paik Seung-ho , Lee Seung Hyun , Park Ji-Su , Lee Gihyoun , Kim Beop Min , Jung Young-Jin
Published: May 2020

Computed tomography (CT) is a widely used medical imaging modality for diagnosing various diseases. Among CT techniques, 4-dimensional CT perfusion (4D-CTP) of the brain is established in most centers for diagnosing strokes and is considered the gold standard for hyperacute stroke diagnosis. However, because the detrimental effects of high radiation doses from 4D-CTP may cause serious health risks in stroke survivors, our research team aimed to introduce a novel image-processing technique. Our singular value decomposition (SVD)-based image-processing technique can improve image quality, first, by separating several image components using SVD and, second, by reconstructing signal component images to remove noise, thereby improving image quality. For the demonstration in this study, 20 4D-CTP dynamic images of suspected acute stroke patients were collected. Both the images that were and were not processed via the proposed method were compared. Each acquired image was objectively evaluated using contrast-to-noise and signal-to-noise ratios. The scores of the parameters assessed for the qualitative evaluation of image quality improved to an excellent rating (p < 0.05). Therefore, our SVD-based image-denoising technique improved the diagnostic value of images by improving their quality. The denoising technique and statistical evaluation can be utilized in various clinical applications to provide advanced medical services.
Study on Collaboration Intentions and Behaviors of Public Participation in the Inheritance of ICH Based on an Extended Theory of Planned Behavior
Authors: Xia Hongmei , Chen Tong , Hou Guanghui
Published: May 2020

Intangible cultural heritage (ICH) is reported to be disappearing rapidly. Collaboration among different persons is critical to the preservation of ICH inheritance. Previous studies have focused mainly on the inheritance of ICH from the individual perspective, while ignoring the perspective of multi-subject collaboration. For this study, we developed and applied an extended theory of planned behavior (TPB) to examine the effectiveness of the intentions and behaviors of public participation in the inheritance of ICH during the collaboration process in the inheritance of Regong art in Qinghai Province, China. Structural equation modeling was used to evaluate the strength of relationships among constructs, and a questionnaire (completed by 351 residents) was used to collect data. The results show that this extended theory of planned behavior can be applied in the evaluation of the collaboration process in the inheritance of ICH. We also introduce a novel construct to the TPB, ‘shared religious beliefs’, defined as uniformity of religion within a social group (in this case, an ethnic minority group), that is, a mono-religious community. Our results show that this construct has a significantly positive effect on collaboration intention among the general public.
Learning Interdisciplinarity and Systems Approaches in Agroecology: Experience with the Serious Game SEGAE
Authors: Jouan Julia , De Graeuwe Mireille , Carof Matthieu , Baccar Rim , Bareille Nathalie , Bastian Suzanne , Brogna Delphine , Burgio Giovanni , Couvreur Sébastien , Cupiał Michał , Dumont Benjamin , Jacquot Anne-Lise , Magagnoli Serena , Makulska Joanna , Maréchal Kevin , Pérès Guénola , Ridier Aude , Salou Thibault , Tombarkiewicz Barbara , Sgolastra Fabio , Godinot Olivier
Published: May 2020

Agroecology represents a pertinent option to improve the sustainability of agriculture. To promote its application, agroecological concepts should be taught to students and professionals in the agricultural sector. However, most agricultural courses are not adapted to teach these concepts due to little interactivity or interdisciplinarity, and a lack of a systems approach to farm management. Serious games help to fill these gaps by simulating complex models in which players can learn by doing. We thus developed a serious computer game, called SEGAE (SErious Game for AgroEcology learning), which represents a mixed crop-livestock farm and assesses impacts of farming practices on indicators related to environmental, economic, and social sustainability. Its pedagogical interest was evaluated through two types of surveys given to university students who played the game during a one-week workshop: A knowledge survey on agroecology, and a feedback survey based on flow theory. Results showed that students increased their knowledge of agroecology significantly, particularly those who had had little knowledge of crop production. More than 86% of the students enjoyed the game, appreciating its interaction and feedback. Thus, SEGAE is an interesting tool to help students acquire knowledge of agroecology in a fun way by facilitating interdisciplinary and collaborative learning.
An Exploration of Spatial and Social Inequalities of Urban Sports Facilities in Nanning City, China
Authors: Shen Jinghong , Cheng Jianquan , Huang Wencong , Zeng Fantao
Published: May 2020

Health and well-being have become important dimensions of urban sustainability, particularly in countries with rapid urbanization and aging populations. As such, providing opportunities for physical activity and exercise has become a priority in the planning and governance of Healthy City in these countries. Relatively little research has investigated the provision of sports facilities in developing countries. This paper seeks to address this gap by exploring the spatial and social inequality of sports facilities at the urban scale using Nanning City in South China as a case study. Spatial aggregate analyses, including an allocation index, accessibility, diversity, and geographically weighted regression, were applied to mixed data sets from primary and secondary sources from 2018. The results confirmed a strong inequality of sports facilities provision across the study area and between age groups. This study suggests that the reduction of inequality and the improvement of equity and social justice should consider the spatial and social matches between demand and supply, through increasing sports facilities investment intensity and road network density.
Physical Activity Levels and Related Energy Expenditure during COVID-19 Quarantine among the Sicilian Active Population: A Cross-Sectional Online Survey Study
Authors: Giustino Valerio , Parroco Anna Maria , Gennaro Antonio , Musumeci Giuseppe , Palma Antonio , Battaglia Giuseppe
Published: May 2020

Background: During the coronavirus disease 2019 (COVID-19) pandemic, the Italian government has adopted containment measures to control the virus’s spread, including limitations to the practice of physical activity (PA). The aim of this study was to estimate the levels of PA, expressed as energy expenditure (MET–minute/week), among the physically active Sicilian population before and during the last seven days of the COVID-19 quarantine. Furthermore, the relation between this parameter and specific demographic and anthropometric variables was analyzed. Methods: 802 Sicilian physically active participants (mean age: 32.27 ± 12.81 years; BMI: 23.44 ± 3.33 kg/m2) were included in the study and grouped based on gender, age and BMI. An adapted version of the International Physical Activity Questionnaire—short form (IPAQ-SF) was administered to the participants through an online survey. The Wilcoxon signed-rank test and the Kruskal-Wallis rank-sum test were used for statistical analyses. Results: As expected, we observed a significant decrease of the total weekly energy expenditure during the COVID-19 quarantine (p < 0.001). A significant variation in the MET–min/wk in the before quarantine condition (p = 0.046) and in the difference between before and during quarantine (p = 0.009) was found for males and females. The male group decreased the PA level more than the female one. Moreover, a significant difference in the MET–min/wk was found among groups distributions of BMI (p < 0.001, during quarantine) and of age (p < 0.001, both before and during quarantine). In particular, the highest and the lowest levels of PA were reported by the young and the elderly, respectively, both before and during quarantine. Finally, the overweight group showed the lowest level of PA during quarantine. Conclusion: Based on our outcomes, we can determine that the current quarantine has negatively affected the practice of PA, with greater impacts among males and overweight subjects. In regards to different age groups, the young, young adults and adults were more affected than senior adults and the elderly.
The Effect of Using Natural or Biotic Dietary Supplements in Poultry Nutrition on the Effectiveness of Meat Production
Authors: Puvača Nikola , Brkić Ivana , Jahić Miralem , Roljević Nikolić Svetlana , Radović Gordana , Ivanišević Dragan , Đokić Milorad , Bošković Dragana , Ilić Dragan , Brkanlić Sandra , Prodanović Radivoj
Published: May 2020

The goal of the research was to investigate the effect of dietary natural or biotic additives such as garlic, black pepper, and chili pepper powder in poultry nutrition on sustainable and economic efficiency of this type of production. A total of eight dietary treatments with 1200 broiler chickens of hybrid line Hubbard were formed, with four replicates. During the experimental period, chickens were fed with three period mixtures diets of different average costs: Starter compound mixture two weeks (0.38 €/kg in all treatments), grower compound mixture next three weeks (0.36, 0.38, 0.40, 0.41, 0.46, 0.39, 0.42, and 0.39 €/kg, respectively), and finisher compound mixture for the final week (0.34, 0.36, 0.38, 0.39, 0.44, 0.37, 0.40, and 0.37 €/kg, respectively). The experiment lasted a total of 42 days. Upon finishing the experiment, results have shown statistically significant (p < 0.05) differences regarding the European broiler index (EBI) as one of the indicators of economic efficacy. The EBI was lowest in the control treatment (220.4) and significantly higher in experimental treatments (298.6), respectively. In cost, a calculation included the cost of feed and used natural or biotic supplements in chicken nutrition. The findings of the study of economic efficiency revealed that the cost per treatment rises depends on the natural additive used. Economic efficiency analysis showed that the most economical natural additive with the lowest cost is garlic (0.68 €/kg), while the most uneconomical is treatment with black pepper with the highest cost of body weight gain (0.82 €/kg). This higher cost of the gained meat is minimal as a consequence of a much healthier and more nutritious food meant for human use, which often promotes sustainable aspects, compared to conventional and industrialized poultry production.
Sustainability Condition of Open Innovation: Dynamic Growth of Alibaba from SME to Large Enterprise
Authors: Yun Jinhyo Joseph , Zhao Xiaofei , Park KyungBae , Shi Lei
Published: May 2020

Research Question: Open innovation and the open business model exaggerate complexity (a transaction cost) in addition to the realization of emergence and its lock-in. Within a short period, Alibaba has become one of the global top e-commerce companies with several open innovation business models. Our research question was: “How could Alibaba become a global top e-commerce company in China in such a short time?” Research Method: We chose a deep interview method, participatory observation, and meta-analysis to answer this research question. Research Result: Alibaba has applied global, creative e-commerce business models through open innovation in a short time. In addition, it has overcome complexity—i.e., the cost of open innovation and the force that breaks down a company—through an open innovation-friendly culture. This is a “Jack-Ma style consumer confidence and new Guanxi culture”, a new and strong Chinese corporate culture. Alibaba has also undergone the expansion of its open business model feedback loop platform. This study investigated the expanded open business model feedback loop platform, the continuously strengthened open-innovation-friendly culture, and complexity, with the latter being the cost of open innovation, which was controlled by an open-innovation-friendly culture and open business model feedback loop.
Strategies for Capital Constrained Timber and Carbon Sink Supply Chain under the Cap-and-Trade Scheme
Authors: Yang Xinyue , Song Ye , Sun Mingjun , Peng Hongjun
Published: May 2020

We consider a capital constrained timber and carbon sink supply chain under the cap-and-trade scheme, where the forest company produces timber and carbon sink. We consider two subsidy modes: financing subsidy to the carbon sink forests and financing subsidy to the manufacturer’s emission reductions. We apply a Stackelberg model and mainly consider the impact of subsidies on the profits and the strategies of the supply chain members. The results show that when the government gives a financing subsidy to the carbon sink forests, it is conducive to promoting the expansion of carbon sink forests, as well as the enhancement of the forest company’s profit. However, a larger supply of carbon sinks generates a lower price, which leads to the manufacturer reducing the technical emission reduction level and purchasing more carbon emission rights instead. On the other hand, when the manufacturer receives a financing subsidy for the technical emission reduction costs, its production becomes cleaner than before, and the profits of the forest company and the manufacturer increase.
Impact of Educational Habits on the Learning of 3–6 Year Old Children from the Perspective of Early Childhood Education Teachers
Authors: Pérez-Ferra Miguel , Quijano-López Rocío , García-Martínez Inmaculada
Published: May 2020

Although early childhood education is crucial for development, it is considered less important than other educational stages. For this reason, we sought to understand teachers’ perceptions about the effects of educational habits on 3–6 year old children’s learning, in addition to their engagement and level of commitment to make families assume greater responsibility over their children’s acquisition of habits. Further, differences of opinion were examined according to age, teaching experience, and years of experience at the center. The instrument consisted of twenty variables and four dimensions: working habits and effort, environmental factors and personal hygiene, healthy diets, and collaboration and cooperation. The instrument was sent out via email. Non-probability convenience sampling was performed (n = 320). The methodology used a descriptive and cross-sectional study, incorporating correlational (Pearson correlation) and inferential analyses. Statistics included one-way ANOVA, statistical power, effect size, and Scheffé’s test for multiple comparisons. Educational habits were deemed to have a positive impact, which favored studying. Effects were accentuated in relation to hard work and effort towards learning, with these outcomes being associated with other measured variables. Teachers aged between 34 and 40 years old showed greater commitment and attributed more importance to these habits. Teachers who had been at the school for longer evaluated environmental and hygiene habits more positively.
Ammonia Volatilization Reduced by Combined Application of Biogas Slurry and Chemical Fertilizer in Maize–Wheat Rotation System in North China Plain
Authors: Rahaman Md Arifur , Zhan Xiaoying , Zhang Qingwen , Li Shuqin , Lv Shengmei , Long Yuting , Zeng Hailing
Published: May 2020

Digestate and biogas slurry (BS) are the byproduct of biogas engineering that could be used for elevating plant growth. However, the consequent emissions of ammonia from BS are considered a severe threat to the atmosphere. Herein, we conducted two consecutive field experiments with wheat–maize rotations to find out the optimum ratio of BS to combine with chemical fertilizer (CF) to reduce ammonia volatilization (AV) while keeping the stable crop yield. In maize season, 226.5 kg N/ha of CF was applied. In wheat season, 226.5 kg N/ha was applied at different ratios (100%, 80%, and 50%) between BS and CF. Our results found that the maximum yield of 6250 kg/ha was produced by CF, and this yield could be obtained through a combined application of 38% BS mixed with CF. Highest AV produced of 16.08 kg/ha by CF. BS treatments significantly reduced the emission from 18% to 32% in comparison to CF. The combined application of BS-CF produced the highest yield due to essential nutrients coming from both BS-CF. Subsequently, it reduced the AV depending on fertilizer type and fertilizer rate. An optimal ratio of 38% BS was recommended to produce the highest yield and lowest ammonia emissions. The application of BS together with different ratios of CF could be an alternative agricultural strategy to obtain desired crop yield and reduce AV in North China Plain (NCP).
Management Overconfidence and CSR Activities in Korea with a Big Data Approach
Authors: Kang Sun-A , Cho Sang-Min
Published: May 2020

We examined the relationship between management characteristics and corporate social responsibility (CSR) and this relationship was differentiated by the level of corporate governance. Our analysis was undertaken in firms listed on the Korean Stock Exchange (KSE) from 2006 to 2015. We employed Ordinary Least Square (OLS) regression after clustering the standard errors at the firm level in order to examine these relationships. The KEJI (Korea Economic Justice Institute) index was used as a proxy for CSR and a big data-based proxy estimated from multimedia was used as the level of advertising. We showed that there is a positive relationship between overconfident management and CSR activities. We then categorized the CSR activities as primary and social activities and found that overconfident management is more aggressive in primary CSR activities. In addition, overconfident management makes fewer CSR expenditures when the management is in a chaebol firm but promotes more CSR advertisement. This finding indicates that chaebol affiliation controls overinvestment in CSR activities but promotes CSR advertisements by overconfident managers. Similarly, we found consistent results with overconfident owner-managers. Prior literature on CSR activities focuses on the impact of CSR activities on firm performance. In this paper, we elucidated the determinants of CSR activities, so that this research contributes to firms’ decision-making about sustainable management. Our estimation of CSR variables with big data approaches will also guide future research on this issue. We expect our study to be used as a reference for decision-making by relevant authorities and stakeholders.
Collective and Individual Sources of Women’s Creativity: Heroism and Psychological Types Involved in Enhancing the Talent of Emerging Leaders
Authors: Pestana José V. , Codina Nuria
Published: May 2020

In heroism, leadership research has a myth that provides the basis for a deeper exploration of the characteristics of the unconscious (collective, personal) and consciousness of leaders—characteristics that can mobilize their followers. This contribution goes on to show that heroism can provide a foundation that foments the creativity of women leaders—from a sustainable standpoint—with the purpose of jointly analyzing aspects of the collective unconscious (heroism), the personal unconscious (psychological typology), and consciousness (self-descriptions, values) in a sample of women emerging as leaders. The participants in the study were 34 students following a Master’s program oriented towards training future CEOs as leaders, aged between 22 and 38 years old (M = 27.22 years old; SD = 3.77). The instruments consisted of a story that each participant wrote about herself as the main heroine; the Myers–Briggs Type Indicator (MBTI); the Twenty-Statement Test (TST); and a questionnaire on personal values. The main results show the common structure of the stories of personal heroism, as well as the characteristics (unconscious, conscious, personal, and collective) that can serve to foster the sustainable use of personal creativity. The research carried out provides knowledge that may be integrated into other perspectives of leadership analysis.
Understanding Future Leaders: How Are Personal Values of Generations Y and Z Tailored to Leadership in Industry 4.0?
Authors: Črešnar Rok , Nedelko Zlatko
Published: May 2020

This study combines two main challenges for organizations today, as it examines the alignment between personal values of future leaders and the values needed in the Industry 4.0 workplace. Based on the movement of the organizational environment toward a more multidisciplinary, open, collaborative and multicultural environment, we presuppose that the Industry 4.0 workplace requires a more benevolent, universally oriented and generally self-transcended leaders. Drawing upon Schwartz’s value theory, we examine the impact of Generations Y and Z’s personal values on their leadership inclination. The results from the survey of 371 young participants from Generations Y and Z reveal that self-enhancement (i.e., power and achievement), openness to change and conservation values most significantly affect leadership inclination. Meanwhile, benevolence, universalism and general self-transcendence values—cornerstones of the Industry 4.0 workplace—show negative effects on leadership inclination in the frame of the Industry 4.0 workplace. This indicates a poor fit between the values of future leaders and the values of the Industry 4.0 workplace. These findings have significant implications for human resource management in future organizations and contribute to the understanding of future leaders. In addition, the findings can help organizations to manage sustainable workings in an Industry 4.0 environment.
Foreign experience of application to convicts of measures to appease
Authors: Borovyk A.
Published: May 2020

In article considered the question of international legal approaches and practice of application to convicts, imprisoned, measures of appease.

In addition, based on the results of the current research, the international legal acts on the issues of the application to the convicts in the places of their isolation (and namely, in this sense are used in this work such terms, that are enshrined in the specified sources and relate to the characteristic of these individuals) of the restraint measures that are classified into: 1) the international legal acts of the general nature, that is, those which are set out the general principles and approaches that are related to the legal restrictions, which are imposed on the convicts; 2) the international legal sources of the specialized content, that is, those that directly regulate the issues of the execution – the serving sentences and the treatment with the convicts; 3) the international legal acts that directly relate to issues that are related to the application the restraint measures to convicts.
Правові колізії та прогалини, що стосуються змісту запобіжної діяльності у місцях позбавлення волі
Authors: Бєлкіна Д.
Published: May 2020

У статті, на основі аналізу змісту запобіжної діяльності, що здійснюється у виправних та виховних колоніях, а також у слідчих ізоляторах України, встановлені проблемні питання, що пов’язані із правовим регулюванням даного виду суспільних відносин та реалізацією на практиці законодавчо визначених завдань по запобіганню злочинам і правопорушенням з боку засуджених. Виходячи з цього, в зазначеній статті розроблено низку науково обґрунтованих заходів, спрямованих на подолання правових колізій і прогалин з означеної тематики дослідження.
Добровільне відшкодування завданого збитку або усунення заподіяної шкоди: проблеми понятійно-категоріального апарату
Authors: Бурбела Ю.
Published: May 2020

У статті проаналізовано актуальні проблеми застосування термінів «шкода», «збиток», «відшкодування», «усунення», «компенсація», «загладжування» в контексті заохочувальних кримінально-правових норм, що стосуються добровільного відшкодування завданого збитку або усунення заподіяної шкоди. Визначено переваги та недоліки їх застосування у КК України. Сформульовано пропозиції щодо уніфікації зазначених термінів з метою вироблення єдиних підходів щодо узгодженого їх застосування в кримінальному, кримінально-процесуальному та цивільному законодавстві.
ISOLATION OF EMULSION RUBBER FROM LATEX USING HYDROXYLAMINE SALTS
Authors: Kuryleva E. , Chernykh V. , Nikulina N. , Verezhnikov V. , Pugacheva I. , Nikulin S.
Published: May 2020

Currently, there is a growth of industry in various sectors, including chemical and petrochemical in Russia and abroad. However, this rise in industry is inextricably linked to the emergence of environmental problems. Therefore, when developing new technologies, production facilities and improving existing ones, special attention is paid to their environmental aspect. These industries include the production of synthetic rubbers. The production of synthetic rubber is a multi-stage technology; at some stages certain problems are observed. For example, the coagulation stage is characterized by increased contamination of wastewater with residues of coagulating, acidifying agents and components of the emulsion system. Therefore, research in the direction of improving the environmental friendliness of this stage is important and relevant. Research on the search for new promising coagulants has been carried out. A comparative assessment of the coagulating ability of ammonium salts based on hydroxylamine hydrochloric acid and sulfuric acid in comparison with ammonium chloride and sulfate and sodium chloride is carried out. The effectiveness of the coagulating action of these inorganic ammonium salts is studied on industrial rubber latex SKS-30 ark. It is found that the yield of rubber crumbs naturally increased with a growth in the consumption of the coagulating agent and a decrease in the temperature regime of the process. Positive results are achieved when nitrogen-containing salts are used to reduce the aggregative stability of disperse systems. Сaoutchouc and rubbers in their basic indicators meet the requirements.
Characterization and Applications of Non-Magnetic Rotating Gliding Arc Reactors - A Brief Review
Authors: J Ananthanarasimhan , Lakshminarayana Rao  , Anand M Shivapuji  , S Dasappa
Published: May 2020

Gliding arc discharge (GAD) reactors are known for high energy efficiency and good chemical selectivity compared to non-thermal plasmas such as glow discharge, corona and dielectric barrier discharge. Reported literature identified that planar diverging GAD have non-uniform gas treatment (e.g. only 20% of gas processed by plasma depending on electrode configuration). Further requirement of minimum limit gas velocity to drag the arc results in lower gas residence time.

This paper attempts to investigate the GAD performance and preliminary studies to overcome some of the identified drawbacks, by using only fluid mechanics without magnetic field (rotating gliding arc (RGA)) inside the plasma reactor developed in various research laboratories. This article discusses the applications of GAD and also focuses on bringing out the performance and comparing with the results from the existing non-magnetic rotating gliding arc reactors. The paper also summarizes results from literature in such reactor designs.
Forecasting the Long Term Economics Status of Bangladesh Using Machine Learning Approaches from 2016-2036
Authors: Uddin Minhaz , Rudra Shraboni , Nazim Uddin Mohammed
Published: May 2020

It is a piece of happy news for us that Bangladesh has been now converted to a developing country. The United Nation and World Bank have recognized it. But they have a condition that we need to continue this economic progress till 2024 for getting a permanent recognition. The economic condition depends on many factors like Gross Domestic Product (GDP), Personal Saving, Private Sector Investment, Gross National Income (GNI) per capita, Human Assets Index (HAI) and Economic Vulnerability Index (EVI). This paper portrays the forecast of the long-term economic condition of Bangladesh as an independent variable which is a year and the dependent variables are GDP, private sector investment and personal saving. The living conditions of a country depend on GDP. Personal saving and Private Sector Investment are also important parts of a country’s economy. If we will forecast these attributes properly, then we can determine the economic condition of Bangladesh and living status of the people more accurately. Therefore, we can determine that Bangladesh can fulfil the condition of getting permanent recognized as a developing country. For forecasting these attributes, we proposed a model which consists of Karl Pearson’s coefficient and modified linear regression techniques. For improving performance, we modify linear regression by gradient boosting.  This experiment shows that our model gives us more accurate forecasting about GDP, Private sector investment and Personal Saving.
Review on Vehicle-to-Grid Systems: The Most Recent Trends and Smart Grid Interaction Technologies
Authors: ALTIN Necmi , SARP Melih
Published: May 2020

Recently, significant advances have been seen in the study and development of electric vehicles and related technologies. These developments drive both the rapid increase in the appeal of electric vehicles as well as the efforts towards the creation of systems that will support, control and manage their widespread use. The vehicle-to-grid (V2G) concept, combined with smart grid technologies, offers an optimal system for the realization of the benefits offered to users, utilities, economics and the environment by electric vehicles. As electric vehicles are steadily gaining a more significant presence in the transportation scene of our day, a review of the vehicle-to-grid concept and application, as well as a discussion of relevant current and future perspectives is of great importance. It is equally important to gain an understanding of the V2G system effects on power quality and the methods by which related issues can be addressed. This review presents comprehensive and current information regarding these topics to provide further insight into this fascinating field of technology.
Исследование влияния молниезащитных вязано-паяных сеток на стойкость к разрушению углепластиковых листов
Authors: Вишняков Л.Р. , Казаков М.Е. , Бойцов Б.В. , Кривонос В.В.
Published: May 2020

Рассмотрена защита конструкционных углепластиков от прямых ударов молнии путём использования вязано-паяных проволочных сеток. На основе результатов анализа мест поражения панелей при их испытаниях имитированной молнией предложен расчётно-экспериментальный метод оценки эффективности применения такой молниезащиты. При расчёте фигур разрушения композитных панелей следует учитывать анизотропию электросопротивления полимерного композита. Установлено, что применение диссипативных вязано-паяных сеток обеспечивает предотвращение сквозного прожига композитных панелей при высоких импульсных токах.
PENGARUH RENDAM KAKI DENGAN AIR HANGAT TERHADAP TINGKAT KECEMASAN PADA IBU HAMIL
Authors: Ulya Fitria hikmatul
Published: May 2020

Merendam  kaki  dengan  air  hangat  dapat  mengakibatkan vasodilatasi  pembuluh darah yang mengakibatkan aliran darah menjadi lancar sehingga  otot dapat berelaksasi. Di Kabupaten Kudus tingkat kecemasan ibu hamil menjelang persalinan sebanyak 44,2%. Tujuan Penelitian: Mengetahui pengaruh rendam kaki dengan air hangat terhadap tingkat kecemasan pada ibu hamil trimester III di wilayah Puskesmas Jati. Jenis penelitian pra experiment dengan desain penelitian one group pretest posttest. Populasi penelitian adalah semua ibu hamil trimester III di wilayah Puskesmas Jati bulan Pebruari 2019 dengan sampel 16 orang. Teknik pengambilan sampelnya purposive sampling. Merendam kaki setinggi 10-15 cm dengan air hangat selama 20-30 menit. Rata-rata tingkat kecemasan sebelum sebesar 61,75 (kecemasan berat) sedangkan sesudah sebesar 54,13 (kecemasan ringan sedang). Ada pengaruh rendam kaki dengan air hangat terhadap tingkat kecemasan pada ibu hamil trimester III, p value 0,033 dengan selisih tingkat kecemasan sebesar 7,62. Ibu hamil diharapkan dapat menurunkan tingkat kecemasan yang dialaminya dengan menggunakan rendam kaki air hangat.
Applying a 6-axis Mechanical Arm Combine with Computer Vision to the Research of Object Recognition in Plane Inspection
Authors: Chen Joy Iong-Zong , Chang Jen-Ting
Published: May 2020

The study of a robotic arm copied with 3D-printer combines computer vision system with tracking algorithm is proposed in the paper. Moreover, the designing to the intelligent vehicle system with the integration of electromechanical for planning to apply it to the operations in various fields is presented too. The main purpose of this work tries to avoid the complicated process with traditional manual adjustment or teaching. It is expected to achieve the purpose that the robotic arm can grab the target automatically, classify the target and place it in the specified area, and even accurately realize the classification through training to distinguish the characteristics of the target. Eventually, the mechanical arm's movement behavior is able to be corrected through a real-time image data feedback control system. In words, with the experiment that the computer vision system is used to assist the robotic arm to detect the color and position of the target. By adding color features for algorithm training as well as through human-machine collaboration, which approves that the proposed algorithm has well known that the accuracy of target tracking definitely depends on both of two parameters include “object locations” and the “illustration direction” of light source. The difference will far from 75.2% to 89.0%.
Effective Test Suite Optimization for Improving the Coverage Standards Using Hybrid Wrapper Filter-Memetic Algorithm
Authors: P. Dr. Karrupusamy
Published: May 2020

The continuous progress and developments in the technologies related to the database and computer has heightened the significance of selecting the features. The most common methods that are used in choosing the features often come with the peril of choosing the features subsets that are unsuitable with the opted algorithm for the induction. Few methods that include the induction procedure for validating the subsets in the feature, despites its prediction capability is computationally more intensive. So to sort out the solution for the aforementioned problems, the proposed method in the paper utilizes the hybrid method for choosing the features clubbing the wrapper filter along with the structure of the Memetic to have an improved coverage-centered test-case escalation. The hybridized procedure optimizes the test suite integrating the call-stack along with it. The experimental observations obtained also exhibits the performance enhancement and the effective ness of the hybridized procedure that leads to cost factor minimization.
Multilayer Perceptron Integrated Fuzzy Nearest Neighbor to Improve the Proficiency of CBR-Retrieval
Authors: V. Dr. Suma
Published: May 2020

The CBR (case based reasoning) is a problem solving technique following different strategy compared to the major approaches of the artificial intelligence. It develops remedies to certain problem based on the pre-existing solutions of similar nature. So the problem using the CBR is handled by retrieving and reusing the similar previously solved problems and available solutions respectively. This makes the process functioning alike based on the human activities is instinctively attractive and more beneficial compared to the Conventional_AI as begins to reason out the possible solutions form the shallow base. The CBR due to the exceeding performance are popular among a wide range of applications such as the weather fore casting, medical and engineering diagnosis, aerospace etc. Identification or sorting out or classification take a significant role in cases that is the training examples retrieval as the perfect identification results in perfect case retrieval, this further enables the case based reasoning to arrive to at a perfect remedy for the problem. The retrieval of cases are mostly based on the similarity and utilizes the KNN (K-Nearest Neighbor). The proposed method in the paper integrates the multilayer perceptron with the fuzzy nearest neighbor (MLP-NFF) system with the help of WEKA to deliver a perfect classification to make the CBR-retrieval efficient. The evaluation of the proposed method and its comparison with the KNN is done using the standard data set obtained from the medical field.
Edge Computing through Virtual Force for Detecting Trustworthy Values
Authors: R. Dr. Dhaya , R. Dr. Kanthavel
Published: May 2020

As the advancement of IoT (Internet of Things) and other emerging mobile application continues, it is an accepted fact that Edge Computing paradigm is considered to be the best fit in terms of fulfilling the resource requirements. Moreover, it is a fact that the data collected by the sensor networks serves as the base for the IoT applications as well as the systems. However, due to advancement in cybercrimes, there is a possibility that the data collected through the sensor networks are vulnerable to attacks which may result in serious consequences. The proposed work focuses on a new model which is used to gather trustworthy data using edge computing in IoT. In order to get the accurately quantified trust values, the sensor nodes are analyzed and found from different dimensions. Moreover, with the help of trust value obtained, it is possible to find the best mobility path which carries the highest value of trust. This data is gathered from the sensors with the help of mobile edge data collector. This analysis shows that for a trustworthy data collection model of IoT, there is noticeable improvement in terms of energy conservation and system security, thereby improving the performance of the system.
Initial Access through Beamforming in mmWave
Authors: G. Ms. Christina
Published: May 2020

Future Wi-Fi, 5G Cellular and millimetre-wave (mmWave) will depend on highly directional links in order to prevail over exuberant path loss experienced in the different bands of frequency. However, in order to establish these type of links, the receiver and transmitter need mutual discovery which will result in high energy consumption and large latency. The proposed work deals with reduction of energy consumption and latency significantly with the help of a fully digital front-end. The digital beamformer will receive the spatial samples within a shot, from all directions. However, in analog front-ends, sampling is allowed for beamforming in one particular direction at a time resulting in the time period in which the mobile is “on” for longer. This will result in an increase in energy consumption by more than four times for the analog front-end when compared with digital front-ends, taking into consideration the antenna arrays’ size. However, from the power consumption point of view, using a fully digital beamforming post beam discovery is not recommended. Hence in order to overcome this drawback, a digital beamformer coupled with a 4-bit A-D convertor with low resolution is proposed. The use of low resolution will decrease the power consumption such that it is in the same zone as that of analog beam forming while it is possible to make use of the fully digital beamforming spatial multiplexing capabilities resulting in improved energy efficiency and reduced discovery latency.
Novel Shared Key Transfer Protocol for Secure Data Transmission in Distributed Wireless Networks
Authors: Sungheetha Dr. Akey , Sharma R Dr. Rajesh
Published: May 2020

Handling Keys in the distributed wireless network is one of the most popular options that ensures the protection of data that are transmitted under various circumstances. It even assists the setting up, reversal and the looking after of keys across diverse. So this makes it requisite to process and produce a corporate key that is secret and as well as distribute it across the network that is decentralized. This sort of key is termed as the shared key. The shared key aids in the procedures of encrypting and decrypting the information’s that are to be transmitted. Multitudes of applications are developed based on the decentralized wireless network such as wireless adhoc network, mobile adhoc networks, wireless sensor networks etc. are suggested with the secret key protection to enhance the security level while transmitting data. The shared key transfer protocol (SKTP) procedure accomplishes encryption /decryption for the message to be transferred it uses a group of key and shares them across a several transmissions that takes place across the head of the cluster and the nodes in the clustered paradigm. This shared collection of keys allows the consumer to encode and decode the message that is to be conveyed for all the consumers in a group enabling a member in the cluster to work together with the other member in the group around the data discovery. So the paper aims in establishing a novel shared key transfer protocol (N-SKTP) that is dynamic in nature and practically possible to secure the information transfer across the devices in the distributed wireless network. The N-SKTP utilizes the pubic key cryptography to develop a shared key group (SKG) for the manifold transmission in the network. The investigation of the performance of the proposed protocol using the network simulator -2 experimentally demonstrates the proficiency of the N-SKTP in the distributed wireless networks with limited resources.
Comprehensively Meld Code Clone Identifier for Replicated Source Code Identification in Diverse Web Browsers
Authors: R. Dr. Dhaya , R. Dr. Kanthavel
Published: May 2020

The emergence and the progress in the process of reusing the software’s, has caused difficulties in the maintaining the software codes and the corresponding depositories. Cloning of software codes is the important reason behind the arising difficulties in the maintenance of the software codes and the depositories. The cloning of codes is a process of replicating the existing codes for utilizing it elsewhere within the software system. The copying and pasting of the fragments of code is also well thought-out as the method of code cloning causing difficulties in the software maintenance. The maintenance of software is described as the alteration performed over the existing software on the completion of the development as well as the implementation process. Utilizing the maintenance process in the software the software companies deliver the improvements and the additional enhancements according to the working circumstance. The maintenance mainly focuses on removing the bugs and to repair the identified faults in the time of execution to enhance the performance. The work focused on the paper is mainly a comprehensive study over the prevailing tools laid out in the process of code-clone identification. The different techniques employed, the challenges incurred, the blunders made in the development, the enhanced refactoring challenges and efforts in the comprehension of codes are explored in the paper. From the study it was understood that the code clone identification using the web based tools are more advantageous than engaging algorithms in identifying the clones. So the a hybridized (meld) web based code clone identifier tool is engaged in the process of identifying the cloning of codes in diverse web browsers in exhibited in the paper. The exhibited tool equips a highly powerful tool for detecting the clones in a precise an efficient manner. The duplication of codes are often vulnerable and could be malicious. So the exhibited work in the future concentrates in developing an extended tool to identify the malicious codes to improvise the process of code clone identification making it concise and effective.