bluuebunny/crossref_metadata_2025 huggingface dataset:
Ecological, Cultural, and Geographical Implications of Brahea dulcis (Kunth) Mart. Insights for Sustainable Management in Mexico
Authors: Pérez-Valladares Cloe X. , Moreno-Calles Ana I. , Casas Alejandro , Rangel-Landa Selene , Blancas José , Caballero Javier , Velazquez Alejandro
Published: January 2020

Palm plants provide important benefits for rural communities around the world. Of the 95 native palm species in Mexico, Brahea dulcis (Soyate palm) has been tagged as an important resource for many Mesoamerican ethnical groups. Scientific and empirical knowledge concerning Soyate is thematically fragmented and disassociated, meaning that sound sustainable management is far from established. Research of over 20 years has permitted us to document ecological, cultural and geographical outcomes of B. dulcis; thus, the present paper aims at compiling all knowledge on Soyate to eventually guide its long-term management. It was conducted in two stages: firstly, it comprised a thorough review of previous studies on the management of B. dulcis in Mexico; secondly, we integrated unpublished outcomes obtained from fieldwork, including participatory ground-truth validation and semi-structured interviews obtained from local ethnic groups. Five factors guided our compilation effort: (i) biological and ecological information, (ii) cultural importance, (iii) economic triggers, (iv) traditional management, and (v) ecological and ecogeographical implications of Soyate palm management. The present paper confirms that B. dulcis is an important cultural resource whose utilization can be traced back over 10,000 years. The leaves of Soyate are the most useful part of the palm and were profusely used in the past for thatching roofs and weaving domestic and agricultural objects. Currently, however, palm-leaf weaving is primarily oriented toward satisfying economic needs. We depicted ten management practices aimed at favoring palm availability. Most of these management practices have enhanced sustainable palm leaf harvesting; however, these practices harbor spatial trends that turn highly diverse habitats into Soyate-dominated spaces. To conclude, we propose a framework to describe sound and sustainable Soyate management in the light of the current long-term Soyate–human relationship. It is here acknowledged that Soyate has played and continues to play a critical socioeconomic and cultural role for many ethnical groups in Central Mexico. Nonetheless, emerging challenges concerning the sustainability of the whole socioecological system at a landscape level are yet to be overcome.
The Evolution of Agricultural Drainage from the Earliest Times to the Present
Authors: Valipour Mohammad , Krasilnikof Jens , Yannopoulos Stavros , Kumar Rohitashw , Deng Jun , Roccaro Paolo , Mays Larry , Grismer Mark E. , Angelakis Andreas N.
Published: January 2020

Agricultural developments require changes in land surface and subsurface hydraulic functions as protection from floods, reclamation of flooded land, irrigation, and drainage. Drainage of agricultural land has a long history and apparently traces back to the earliest civilizations of Mesopotamia and Iran before 4000 BC. In the Eastern Mediterranean, the Minoan and Mycenaean civilizations developed techniques and strategies of drainage of agricultural lands from the middle of the 2nd millennium BC. After the collapse of the Aegean Bronze-age civilizations, society building and agricultural innovation in the archaic and Classical periods (ca. 800–300 BC) included successful attempts at controlling drainage and irrigation techniques. In addition, China, India, and Mesoamerica have extensive histories of drainage. The aim of this review paper is to trace the evolution of the main foundings on agricultural drainage technologies through the centuries until the present. This historical review reveals valuable insights into ancient hydraulic technologies as well as irrigation and drainage management that will help to find bright horizons for sustainable agriculture in future.
Applying an Evolutionary Growth Theory for Sustainable Economic Development: The Effect of International Students as Tourists
Authors: Soyer Kemal , Ozgit Hale , Rjoub Husam
Published: January 2020

In this globalized era of strict competition, all actors in countries must focus on their strengths for continuous growth, which would presumably lead to sustainable economic development. Amongst the three components of sustainable development, this paper focuses on the economic and social aspects. Many countries are becoming service-oriented for economic growth. Education is a form of human capital investment which significantly contributes to countries’ national income via students, particularly international cross-border students in higher education institutions. While endogenous growth models dismiss the importance of governments in the growth process, in this paper, the Keynesian and new growth theories are combined to form an evolutionary growth theory. This research aims to analyze the short and long-term relationships between macroeconomic variables, international students, and their impact on the gross domestic product (GDP) of a small island with the intention of policy implications for stakeholders to reach or maintain sustainable economic development. Using an evolutionary growth theory with 34 years of time-series data on quarterly base, the vector autocorrection (VAR) model helps reveal the short and long-run relationships as well as impacts on the economy for sustainable economic growth. The results confirmed a long-run relationship via cointegration. Moreover, they approved bidirectional causality between student numbers, general secondary school enrolment, and GDP. Findings suggest significant implications for all stakeholders, particularly for higher education institutions, the government, and local citizens due to the importance of micro and macro-economic variables’ effect on GDP. The results prove that educated human capital contributes to economic growth. Governments should continue their existing strategy regarding secondary school enrolment rates as it is found to be the most effective variable in the long-run. As education, knowledge, and information transfer rises, it contributes to sustainable development through promoting social stability. Limitation of the unavailability of the total yearly population, GDP was opted instead of GDP per capita.
Impact of Income Distribution on Social and Economic Well-Being of the State
Authors: Bilan Yuriy , Mishchuk Halyna , Samoliuk Natalia , Yurchyk Halyna
Published: January 2020

Income distribution can cause large-scale transformations in human resources structure, essential changes of economic outputs via its impact on life satisfaction and motivation of work. Thus, the overall objective of this research is to improve methodological tools of income distribution analysis based on identifying the links between different structural indicators of income inequality and the most essential features of social and economic well-being. We conducted comparative analysis of EU Member States and Ukraine. We used structural analysis based on two forms of income distribution—functional (share of “labour” in Gross domestic product - GDP) and household one (ratio of incomes measured by special decile coefficients) to identify income inequality and inconsistencies in distributive strategies. By grouping European countries according to economic well-being (described as GDP per capita) and inequality in income distribution (based on Gini coefficient), we determined apparent tendencies in distributive policies and revealed links between income distribution and connected social-economic features of well-being. We conclude that countries with the most stable and clear patterns in income distribution have distinct connections between the share of labour costs in GDP and successes in social and economic spheres, including human development level, property rights protection, GDP growth, possibilities for taxation and budgeting of social programmes.
Facile Bioinspired Preparation of Fluorinase@Fluoridated Hydroxyapatite Nanoflowers for the Biosynthesis of 5′-Fluorodeoxy Adenosine
Authors: Li Ningning , Hu Bingjing , Wang Anming , Li Huimin , Yin Youcheng , Mao Tianyu , Xie Tian
Published: January 2020

To develop an environmentally friendly biocatalyst for the efficient synthesis of organofluorine compounds, we prepared the enzyme@fluoridated hydroxyapatite nanoflowers (FHAp-NFs) using fluorinase expressed in Escherichia coli Rosetta (DE3) as the biomineralization framework. The obtained fluorinase@FHAp-NFs were characterized by scanning electron microscope (SEM), X-ray diffraction (XRD), and FT-IR spectrum and used in the enzymatic synthesis of 5′-fluorodeoxy adenosin with S-adenosyl-L-methionine and fluoride as substrate. At an optimum pH of 7.5, fluorinase confined in the hybrid nanoflowers presents an approximately 2-fold higher synthetic activity than free fluorinase. Additionally, after heating at 30 °C for 8 h, the FHAp-NFs retained approximately 80.0% of the initial activity. However, free enzyme could remain only 48.2% of its initial activity. The results indicate that the fluoride and hybrid nanoflowers efficiently enhance the catalytic activity and thermal stability of fluorinase in the synthesis of 5′-fluorodeoxy adenosine, which gives a green method for producing the fluorinated organic compounds.
Impact of Global Value Chains on Export Technology Content of China’s Manufacturing Industry
Authors: Peng Jing , Zhang Yabin
Published: January 2020

With the deepening development of global value chains (GVC), a large number of foreign intermediate inputs have been integrated in the products production process of one country, thus the technology content of export products may not completely come from the home country. According to the new measurement based on production process, this paper calculates the domestic technology content of China’s manufacturing industry from 2000 to 2014 by using the data of World Input–Output Database (WIOD). Furthermore, it has an empirical analysis of the effect of GVC position on domestic technology content using the panel data of China’s 18 manufacturing industries. The results showed that: the technology content of the China’s manufacturing exports are increasing, and the domestic technology content grows faster than overall technology content, which indicats that China’s manufacturing industry has been upgraded and optimized in a certain way; However, there is still a certain gap between China’s manufacturing technology content and the corresponding indicators of major developed countries; And the upgrading of GVC position of Chinese manufacturing industry can significantly improve the domestic technology content of manufacturing exports.
The Impact of Pro-environmental Preference on Consumers’ Perceived Well-being: The Mediating Role of Self-Determination Need Satisfaction
Authors: Gao Jian , Wang Jianguo , Wang Jianming
Published: January 2020

This study uses a conceptual research model to explore the mediating role of need satisfaction for competence, relatedness, and autonomy in the relationship between pro-environmental preference (PEP) and consumers’ perceived well-being (PWB). The data were collected on WJX (a Chinese online recruitment platform) from a sample of 514 respondents and analyzed using Smart PLS 3. The results indicated that two need satisfactions (competence and autonomy) fully mediate the relationship between PEP and consumers’ PWB. However, surprisingly, relatedness need satisfaction has no mediation effect in the relationship between PEP and consumers’ PWB. The results demonstrate the pivotal role of self-determination theory in explaining the primary psychological needs that must be met for consumers to perceive heightened states of well-being. Moreover, the results can signify to policymakers how to translate the impact of PEP into consumers’ PWB.
Towards an Efficient Privacy-Preserving Decision Tree Evaluation Service in the Internet of Things
Authors: Liu Lin , Su Jinshu , Zhao Baokang , Wang Qiong , Chen Jinrong , Luo Yuchuan
Published: January 2020

With the fast development of the Internet of Things (IoT) technology, normal people and organizations can produce massive data every day. Due to a lack of data mining expertise and computation resources, most of them choose to use data mining services. Unfortunately, directly sending query data to the cloud may violate their privacy. In this work, we mainly consider designing a scheme that enables the cloud to provide an efficient privacy-preserving decision tree evaluation service for resource-constrained clients in the IoT. To design such a scheme, a new secure comparison protocol based on additive secret sharing technology is proposed in a two-cloud model. Then we introduce our privacy-preserving decision tree evaluation scheme which is designed by the secret sharing technology and additively homomorphic cryptosystem. In this scheme, the cloud learns nothing of the query data and classification results, and the client has no idea of the tree. Moreover, this scheme also supports offline users. Theoretical analyses and experimental results show that our scheme is very efficient. Compared with the state-of-art work, both the communication and computational overheads of the newly designed scheme are smaller when dealing with deep but sparse trees.
Super-Weak Force and Neutrino Masses
Authors: Trócsányi Zoltán
Published: January 2020

We consider an anomaly free extension of the standard model gauge group G SM by an abelian group to G SM ⊗ U ( 1 ) Z . The condition of anomaly cancellation is known to fix the Z-charges of the particles, but two. We fix one remaining charge by allowing for all possible Yukawa interactions of the known left-handed neutrinos and new right-handed ones that obtain their masses through interaction with a new scalar field with spontaneously broken vacuum. We discuss some of the possible consequences of the model.
Optimal Structural Design of a Magnetic Circuit for Vibration Harvesters Applicable in MEMS
Authors: Szabó Zoltán , Fiala Pavel , Zukal Jiří , Dědková Jamila , Dohnal Přemysl
Published: January 2020

The paper discusses the results of research into a vibration-powered milli- or micro generator (MG). The generator harvests mechanical energy at an optimum level, utilizing the vibration of its mechanical system. The central purpose of our report is to outline the parameters that are significant for implementing the actual design to harvest the maximum (optimum) energy possible within periodic symmetrical systems, while respecting the typical behavior of the output voltage. The relevant theoretical outcomes influence the measurability and evaluation of the physical quantities that characterize the designed structures. The given parameters, which are currently defined in millimeters, are also applicable within the micrometer range, or MEMS. The article compares some of the published microgenerator concepts and design versions by using effective power density, among other parameters, and it also brings complementary comments on the applied harvesting techniques. The authors demonstrate minor variations in the magnetic rotationally symmetric circuit geometry that affect the pattern of the device’s instantaneous output voltage; in this context, the suitability of the individual design approaches that are to be used with MEMS as a vibration harvesting system is analyzed in terms of properties that are applicable in Industry 4.0.
The Impact of Human Mobility on Regional and Global Efforts to Control HIV Transmission
Authors: Eshraghian Emily A. , Ferdos Sepideh N. , Mehta Sanjay R.
Published: January 2020

HIV prevention and control methods are implemented on different scales to reduce the spread of the virus amongst populations. However, despite such efforts, HIV continues to persist in populations with a global incidence rate of 1.8 million in 2017 alone. The introduction of new infections into susceptible regional populations promotes the spread of HIV, indicating a crucial need to study the impact of migration and mobility on regional and global efforts to prevent HIV transmission. Here we reviewed studies that assess the impact of human mobility on HIV transmission and spread. We found an important role for both travel and migration in driving the spread of HIV across regional and national borders. Combined, our results indicate that even in the presence of control and preventive efforts, if migration and travel are occurring, public health efforts will need to remain persistent to ensure that new infections do not grow into outbreaks.
Evaluation of Passive Immunity Induced by Immunisation Using Two Inactivated gE-deleted Marker Vaccines against Infectious Bovine Rhinotracheitis (IBR) in Calves
Authors: Petrini Stefano , Righi Cecilia , Iscaro Carmen , Viola Giulio , Gobbi Paola , Scoccia Eleonora , Rossi Elisabetta , Pellegrini Claudia , De Mia Gian Mario
Published: January 2020

Different types of vaccines against Infectious Bovine Rhinotracheitis (IBR) are commercially available. Among these, inactivated glycoprotein E (gE)-deleted marker vaccines are commonly used, but their ability to induce passive immunity is poorly known. Here, we evaluated the passive immunity transferred from dams immunised with commercial inactivated gE-deleted marker vaccines to calves. We vaccinated 12 pregnant cattle devoid of neutralising antibodies against Bovine alphaherpesvirus 1 (BoHV-1) and divided them into two groups with 6 animals each. Both groups were injected with a different inactivated gE-deleted marker vaccine administrated via intranasal or intramuscular routes. An additional 6 pregnant cattle served as the unvaccinated control group. After calving, the number of animals in each group was increased by the newborn calves. In the dams, the humoral immune response was evaluated before calving and, subsequently, at different times until post-calving day 180 (PCD180). In addition, the antibodies in colostrum, milk, and in serum samples from newborn calves were evaluated at different times until PCD180. The results indicated that inactivated glycoprotein E (gE)-deleted marker vaccines are safe and produce a good humoral immune response in pregnant cattle until calving and PCD180. Moreover, results showed that, in calf serum, passive immunity persists until PCD180.
Local Scour Near Flexible Flow Deflectors
Authors: Xie Liquan , Zhu Yehui , Li Huang , Li Yan-hong , Yang Yuanping , Su Tsung-chow
Published: January 2020

Rigid flow deflectors are usually used on water flow beds to protect engineering structures such as breakwater in coasts and to regulate flow routes in open channels. To reduce its side-effects, i.e., local scour at the toe of deflectors, a flexible flow deflector is proposed, and the corresponding local scour was investigated in this study. A flume experiment was conducted to investigate local scour. To show the advantage of flexible deflectors, a control experimental test was also conducted using a traditional rigid deflector under the same blockage area configuration and the same flow conditions. The flow field near the flexible deflector was also measured to reveal the local flow field. The results show that the bed-scour develops near the toe edges of both flexible and rigid deflectors, but the maximum and averaged scour depths for the flexible deflector are smaller. This advantage of flexible deflector in scour depth is mainly caused by its prone posture, which induces the upward stretching and enlarging horizontally rotating vortex and the upward shifted vertically rotating vortex. The former dissipates more turbulent energy and the latter results in smaller bed shear stress, which lead to smaller scour depth directly. In addition, the up- and down-swaying movement of the flexible deflector can also assistant to dissipate more turbulent energy, thereby damping the intense of the horseshoe vortices and thus weakening scour depth as well. The results of this study provide an elementary understanding on the mechanisms of a flexible flow structure and an alternative deflector-device to reduce scour depth.
Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms
Authors: Liu Ningning , Sun Yuedong , Wang Yansong , Guo Hui , Gao Bin , Feng Tianpei , Sun Pei
Published: January 2020

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm
cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior
noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured
noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like
the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.
Intención de compra verde
Authors: Bucio Gutierrez Daniel , Jiménez Almaguer Karla Paola , Azuela Flores José Ignacio
Published: January 2020

El objetivo es analizar el comportamiento medioambiental explorando las relaciones del (1) conocimiento, (2) preocupación, (3) altruismo y (4) escepticismo medioambientales sobre la actitud hacia el consumo verde (ACV). Finalmente, se analizó la relación entre ACV y la intención de compra verde. El método de investigación es cuantitativo, concretamente un modelo de ecuaciones estructurales-PLS con datos de una encuesta aplicada a consumidores potenciales de productos verdes. Los resultados muestran que la ACV pronostica la intención de compra verde; además que el conocimiento, la preocupación y el altruismo medioambientales destacan como antecedentes significativos de la ACV. Las limitaciones están asociadas al alcance de los resultados, éstos se obtuvieron empleando muestreos no probabilísticos. El principal hallazgo es la magnitud del efecto del altruismo que destaca como el principal predictor de la ACV. Las implicaciones prácticas a través de campañas de comunicación, dirigidas a consumidores altruistas con el medioambiente, que motiven al consumo verde.
Imagen corporativa y satisfacción laboral en potenciales empleados del sector bancario
Authors: Hinojosa López Jessica Ivonne , Ayup González Jannet , Cogco Calderón Adolfo Rogelio
Published: January 2020

En el sector bancario la imagen corporativa se ha convertido en un tema focal debido a la influencia que tiene en su público interno y externo, por lo que, establecer estrategias para su gestión puede determinar el punto distintivo en un entorno competitivo. El objetivo de investigación es presentar una propuesta de medición de la imagen corporativa en el contexto de la satisfacción laboral en una muestra de 129 estudiantes susceptibles a emplearse en el sistema bancario. Como método de investigación se llevó a cabo análisis de componentes principales; adicionalmente, la técnica de ecuaciones estructurales para verificar el ajuste del modelo. Los resultados proponen dos variables que preceden a la imagen corporativa en el contexto de la satisfacción laboral, destacando como principales hallazgos que las señales emitidas por el sector bancario son reconocidas como positivas a través de sus prácticas de responsabilidad social. La originalidad radica en presentar un instrumento contextualizado al sector bancario; sin embargo, presenta como limitante la reducida inclusión de factores incorporados al modelo.
O pensamento sistêmico no processo de design de livros digitais: a proposta “Framebook”
Authors: Dick Maurício Elias , Gonçalves Berenice Santos
Published: January 2020

A consolidação do livro digital depende da percepção de um sistema definido por modos de operação, disseminação e consumo quase totalmente integrados digitalmente, transformando o meio editorial de maneira radical. Diante disso, é preciso repensar o processo de design do livro digital sob uma nova perspectiva para que se obtenha uma visão clara das especificidades destes artefatos e da complexidade do cenário editorial. Nessa direção, esta pesquisa teve como objetivo propor um framework para o processo de design do livro digital, a partir de uma perspectiva sistêmica. Para tal, realizou-se uma revisão de literatura, seguida de entrevistas com profissionais que atuam no segmento de livros digitais. Os resultados desses procedimentos deram origem a um conjunto de premissas que alicerçaram a construção da primeira versão do framework, posteriormente refinado em um grupo focal com designers. Sua versão final é composta por 13 fatores inter-relacionados, organizados em três grupos: primários (Conteúdo, Tecnologia e Leitor), secundários (Autor, Outros Agentes, Editor, Gestão do Negócio e Distribuidor) e terciários (Livro Impresso, Direitos Digitais, Livros Digitais Similares e Players Tecnológicos).
Clinical experience of quartz reinforcing mesh usage in production of full removable laminar upper dentures
Authors: Galonsky V.G. , Cherkashin B.F. , Kharlamova A.A. , Kungurov S.V. , Gradoboev A.V. , Surdo E.S.
Published: January 2020

The study is devoted to one of relevant topics in orthopaedic dentistry: orthopaedic treatment for fully edentulous patients with application of removable laminar dentures the basis of which is produced from acrylic plastic. The main problem of this approach has been formulated: the possibility of frequent crashing of the basis by the patient within earlier and later periods after the beginning of prosthesis exploitation. Options in prevention of this problem have been considered — reinforcing of the denture basis using standard and individually produced metal meshes — as well as their disadvantages. A study based on longitudinal clinical observation within terms of up to five years of exploitation effectiveness in quartz reinforcing mesh application to removable denture bases as an alternative approach to modern technologies has been carried out. Application features and advantages of this technology have been presented.
EXPLORING E-PARTICIPATION POLICY AND INITIATIVES IN MALAYSIA
Authors: Khadzali Nur Rusydina , Md Zan Zainal
Published: January 2020

The evolution of Information and Communication Technology (ICT) and the internet have affected the cultural, social, economic and political aspect throughout the world. It also greatly reshaped public administration in the last decade. The availability of internet and electronic medium also open a huge opportunity for the public to participate and become closer to the government. A new form of two-way communication for public and government officials have been developed and changed the landscape of local democracy. Consequently, in the current digital era, electronic participation or as known as e-participation as tools that encourage public participation has gained increasingly important. With the complexity of modern society today, e-participation helps to enhance the quality of participation. E-participation also could be a great complement to the traditional approach of public participation that may have some significance limitation in empowering public participation. However, the discussion on the e-participation policy and initiatives in Malaysia still lacking and remains unclear. Therefore, this paper aims to comprehensively deliberate on the efforts that have been taken by the government towards the e-participation implementation. This paper also will provide an example of the experiences on the world’s best leaders in e-participation.
Software Defined Networking and Network Function Virtualization for Service Providers using Network Slice AS a Service
Authors:   Kongu Engineering College, Erode, Selvi K. Tamil , Thamilselvan R. ,   Kongu Engineering College, Erode
Published: January 2020

The traditional network is configured based on the prescribed network requirements. Sometimes the resources of the network are underutilized and at sometimes there may resource starvation because of the static configuration of the network. As against traditional network, which is operated either as dedicated network or as an overlay network, network services can be operated over a shared network infrastructure. Thus maximum resource utilization under minimal infrastructure cost can be achieved. The on-demand network requirement can be configured dynamically using network slice. The backbone of the rapidly evolving 5G technology is network slice and service networks can be benefited from it. Different network function for multiple tenants can be enabled customized using network slice with each slice operating independently. Network slice can be offered as a service to meet various requirements from the network slice tenant with different granularities. The Software Defined Networking and Network Function Virtualization are the enabling technologies for network slice. This paper discusses various network slicing use case requirements. And also OpenFlow based software defined network environment is simulated to validate the discussions. Experimental results show that the efficiency of the service network is maximized with improved reliability of service.
Itinerary Aware Data Delivery Technique for Underwater Acoustic Sensor Networks
Authors:   Professor, Department of ECE, Sri Manakula Vinayagar Engineering college ,Puducherry, Bharathi V. , Raja P. ,   Professor, Department of ECE, Sri Manakula Vinayagar Engineering College, Puducherry, Meenabavyakarthika S. ,   PG Student, Department of ECE, Sri Manakula Vinayagar Engineering college ,Puducherry, Logisvary V. ,   Assistant Professor, Department of ECE Sri Manakula Vinayagar Engineering College, Puducherry
Published: January 2020

Monitoring and maintaining aquatic environment is the universal need and Underwater Acoustic Sensor Networks (UASN) is an emerging technology plays a major role in acoustic data acquistion. The data acquisition is challenging issue in UASN due to its communication characteristics. Though, there are several geo-opportunistic routing protocols were explored to improve the data acquisition it can be still improved by enhanced routing technique. The existing Geo-graphical depth adjustment routing (GEDAR) uses Global Positioning System(GPS) based notes for improving data acquisition, however it consumes more energy and increases overhead. We make an attempt to study about efficient data acquisition process and its path reliability. The proposed Itinerary aware routing protocol(IARP) acquires neighboring node’s information for constructing efficient and reliable link with minimum information which improves data delivery ratio with minimum energy consumption. The proposed IARP increases 11% packet delivery ratio and reduces delay by 13%, and energy consumption by 9% comparing with existing GEDAR based algorithm. IARP also performs better than Depth based routing (DBR).
Ancillary Service Requirements Assessment Indices with the LFC in a Restructured Power Systems for RFB Unit by using Bacterial Foraging Optimization
Authors:   Assoc. Professor, Dept. of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu., Sridhar ND.
Published: January 2020

This paper proposes the calculation methodology to leverage the System Support Service Request Valuation Indices (PSASRAI) facility of thetwo _Area Thermal Heat Intersected Power Network (TATRIPS) to highly restored environments. Both Indices display in the supporting demand of the Facility to improve the efficacy of the facility framework's physical activity. In the associated degree interconnected control system, the associated degree sudden strain hassle in any area triggers the frequency variance of the considerable variety of territories and in addition within the tie _line forces. To ensure nice quality, this should be updated to confirm age &circulation of electrical power organizations.In addition to Integral (PI) sort controllers, there are broad uses in the dominant problems of Load Frequency Management (LFC). Consequently, the establishment of the PI management benefits for the restored control system is obtained using the calculation of microorganism hunt optimization (BFO). These regulatorsareexistent to accomplish a quicker reclamation periodwithinyield reactions of the framework. Conjointly vitality reposition is associate degree seductiveoption to embrace within the interest facet administration execution, thereforechemical reaction Flow Batteries (RFB) unit isprofitablywont to satisfy the headwould like and upgraded power gridsupportive Service demand Assessment Indices.
Design and Control of Space Vector Pwm Technique with the Fuzzy Control Based Multilevel Inverter for an Open end Winding Induction Motor
Authors:   Assistant Professor, Eee Department, Anurag Group Of Institutions, Nageswararao B. , Divyakrishna Ch. ,   M.Tech (Peed), Eee Department, Anurag Group Of Instituions, Kumar T. Anil ,   Professor, Hod, Eee Department, Anurag Group Of Institutions
Published: January 2020

In this paper the three phase open end winding IM drive is designed and controlled using a fuzzy control based multilevel inverter with SVM technique is proposed. To overcome the disadvantages of PI controller, in this project we are using the fuzzy controller. The fuzzy controller rules are analyzed very easily, because of it is a human decision making system. The traditional dual inverter having two dc sources the cost and size is might be high, so to overcome this we use the proposed method with single dc voltage source. The main objective of the proposed method is to eliminate the transformer. To achieve the multilevel output voltage waveform with three levels a dc voltage ratio 2:1 is used. The space vector PWM is used to control the switching states of dual multilevel inverter. The fuzzy controller implementation cost is less and more precise. The simulation results are used to analyze the proposed method with fuzzy controller.
Ensemble of Rule Learner and Sequential Minimum Optimization Algorithm for Intrusion Detection System
Authors:   Assistant Professor, Computer Science and Engineering, AISSMS College of Engineering, SPPU Pune, India., Gaikwad D. P. , Swami M. M. ,   Assistant Professor, Computer Engineering, AISSMS College of Engineering, SPPU Pune, India., Kolte S. S. ,   Assistant Professor, Computer Engineering, AISSMS College of Engineering, SPPU Pune, India.
Published: January 2020

An intrusion detection system is a process which automates analyzing activities in network or a computer system. It is used to detect nasty code, hateful activities, intruders and uninvited communications over the Internet. The general intrusion detection system is struggling with some problems like false positive rate, false negative rate, low classification accuracy and slow speed. Now-a-days, this has turned an attention of many researchers to handle these issues. Recently, ensemble of different base classifier is widely used to implement intrusion detection system. In ensemble method of machine learning, the proper selection of base classifier is a challenging task. In this paper, machine learning ensemble have designed and implemented for the intrusion detection system. The ensemble of Partial Decision Tree and Sequential Minimum optimization algorithm to train support vector machine have used for intrusion detection system. Partial Decision Tree rule learner is simplicity and it generates rules fast. Sequential Minimum optimization algorithm is easy to use and is better scaling with training set size with less computational time. Due to these advantages of both classifiers, they jointly used with different methods of ensemble. We make use of all types of methods of ensemble. The performances of base classifiers have evaluated in term of false positive, accuracy and true positive. Performance results display that proposed majority voting method of ensemble using Partial Decision Tree rule learner and Sequential Minimum optimization algorithm based Support Vector Machine offers highest classification among different ensemble classifiers on training dataset. This method of ensemble exhibits highest true positive and lowest false positive rates. It is also observed that stacking of both PART and SMO exhibits lowest and same classification accuracy on test dataset
Smart Volume Controller for Mobile Phones
Authors:   Dept. of Elect. & Comm. Engineering, Noida Institute of Engineering & Technology, Gr. Noida, India, Singh Laxman , Chaudhary Sunil Kumar ,   Dept. of EE,Galgotias College of Engg. & Tech., (Affiliated with Dr. A.P.J.Abdul Kalam Tech. University), U.P, India,, Verma Yogesh Kumar ,   Dept. of Elect. & Comm. Engineering, Lovely Professional University, Phagwara, Punjab, India, Yadav Jay Kant Pratap Singh ,   Dept. of Computer Science & Engg., Ajay Kumar Garg Engineering College, Ghaziabad, U.P., India, Kumar Rajeev ,   Department of Master of Computer Applications, Noida Institute of Engineering & Technology, Gr. Noida, India.
Published: January 2020

In this paper, smart volume controller (SVC) using fuzzy logic is developed for mobile phones in order to improve the voice quality in the presence of background noise. The SVC uses the noise level and class information as an input to automatically raise the volume of the cell phone in the presence of background noise. Smart volume controller mainly consists of two stages: (i) Noise Classification, (ii) Fuzzy Volume Controller. Noise classification includes feature extraction and feature matching using artificial neural network classifier to differentiate between different types of noise classes. The maximum noise attenuation level of up to 55db was achieved while experimenting with the four different types of noises such as car noise, market noise, office noise, and train noise using the proposed volume controller that seems to be quite satisfactory.
Determining the Most Popular Streaming Service using Machine Learning
Authors:   Student of computer science engineering in SRM Institute of Science and Technology Ramapuram, Chennai., Ghosh Sayan , Sarkar Dipshikha ,   Student of computer science engineering in SRM Institute of Science and Technology Ramapuram, Chennai., Basu Lokenath ,   Student of computer science engineering in SRM Institute of Science and Technology Ramapuram, Chennai., Rajeswari S.R. ,   Assistant professor, SRM Institute of Science and Technology Ramapuram, Chennai. She has completed her M.E. in CSE at Anna University.
Published: January 2020

Over the past years, twitter has become a popular medium for sharing views and ideas about personalities, brands, products or services. Analyzing sentiment of people to figure out the popularity of different streaming service by the twitter profiles is helpful for determining positive or negative views. This is a comparative analysis to predict or show which of the chosen streaming services is most familiar or liked by the public. To do this, different machine learning algorithms are used to computationally identify and categorize public opinions to draw a final result. The machine learning algorithms used here are Linear SVC, Naïve Bayes and Decision Tree. These help in receiving the data and predict the output within an acceptable range. The data in this case has been extracted from Twitter using Twitter API. Twitter API takes the parameters that can access many features of Twitter and also post and find tweets containing desired words. This includes data cleaning which refers to exclude the incorrect and unnecessary forms of data. This makes the way of data processing easier, faster and more compatible. On analyzing, the frequently used words are assessed. The classifying words are trained using the above mentioned algorithms. These algorithms are the supervised classifiers which are effective and efficient when the quantity of the data is huge. Using one or more algorithms helps to decide, compare and contrast the results. Once the classifiers are trained, testing is done. Testing gives the proper assessment of the data that is required for the desired results. The performance of the test set can be checked to draw a final result. Hence, comparing the results obtained for different streaming services helps to decide the most popular streaming service.
Development of Message Queuing Telemetry Transport (MQTT) based Vehicle Accident Notification System
Authors:   Assistant Professor in the department of Electronics and Communication Engineering at MIMIT, Malout, Punjab, India., Bansal Bharat Naresh , Garg Vivek ,   B. Tech Electronics and Communication Engineering at MIMIT, Malout, Punjab, India.
Published: January 2020

In the recent years there has been a tremendous growth in the field of engineering and sciences, which aided in the growth and development of fast and comfortable transportation media, with this development the number of automobiles have drastically increased, which for sure is a great technological achievement but sadly with this growth, the traffic and the hustle and bustle on roads is unstoppable and with it the number of accidents and road casualties have tremendously increased. But, there is no easy and practical way to reduce the usage of the automobiles. Every day the mankind read about thousands of people dying of road casualties and most of them die because the families or the concerned ones of the indulged people are not timely informed. The death casualties can be minimized to a great extent by just timely informing the families of the concerned ones. The prototype in this paper is an accident notification systemESP8266 NodeMCU and a simple vibration sensor is the heart of this system. The vibration sensor continuously senses the vibrations and on exceeding a predefined threshold limit, sends out a notification to registered numbers. In the past similar models have been proposed, which used costlier sensors such as Accelerometerbut the design in this paper, used simpler and cheaper sensor. Moreover, in earlier designs GSM technology was used but proposed design uses a Wi-Fi based controller, which in comparison to GSM technology is more reliable and fast. Also earlier GSM module needed an additional microcontroller such as Arduino but the use of NodeMCU eliminates the requirement of any additional controller. The prototype system in this paper makes the use of message queuing telemetry transport (MQTT) protocol, which is a very reliable and fast communication protocol which further uses subscribe and publish technology. The IoT cloud platform used in this prototype is Adafruit IO which is quite simpler when compared to other cloud platforms such as Losant Platform and moreover the data is updated every two seconds in Adafruit IO. For the notification purpose protocol is used with the help of IFTTT platform and ClickSend platform, Applets and Triggers are created to fulfill the requirement. The controller is programed using basic C and C++ programming languages and Arduino IDE serves as the programming environment, various library files have also been used for the programming purposes.
A Critique on Baroreceptor and their Effective Reflex Action on Compartmental Cardiovascular Modeling in Regulating Hemodynamic Parameters
Authors:   Department of Chemical Engineering, Coimbatore Institute of Technology, Coimbatore, India., C Sowparnika G , M Thirumarimurugan ,   Department of Chemical Engineering, Coimbatore Institute of Technology, Coimbatore, India., N Vinoth ,   Department of Instrumentation Engineering, Madras Institute of Technology, Chennai, India.
Published: January 2020

Baroreceptor is the feedback unit present in the living beings which acts as a sensor that is located in the walls of blood vessels. This sensor senses the deformation in the blood vessels which causes change in arterial blood pressure and regulates it via Central Nervous System (CNS) and the information are autonomic reflexes that has a great influence on circulatory system elements such as peripheral systemic resistance (Rpsym), contractility of the ventricles (Emax), unstressed volume of the ventricles (Vus_ven) and heart rate (HR). The dynamic behaviour of the baroreceptor is modeled and substantiated by applying the negative feedback mechanism. A detailed modeling and simulation study is presented considering various testing conditions in regulating the circulatory system elements which oversees the Mean Arterial Pressure (MAP) in cardiovascular system. The Total Artificial Cardiovascular model (TAH-CVS) is also developed using pressure, volume and flow related differential equations. Based on the testing conducted under various conditions, the feedback-mechanism of the baroreceptor model is combined with the continuous TAH-CVS closed loop model to validate the effectiveness of the baroreceptor model. The simulation results of TAH-CVS model at initial conditions are compared with the TAH-CVS model with baroreceptor.
Efficient Mining of Interest Patterns on Click Stream Data
Authors:   Associate Professor ,Dept. of CSSE, Sree Vidyanikethan Engineering College, A.Rangampet, Chittoor (District), Andhra Pradesh, India, Lakshmi P. Dhana
Published: January 2020

Nowadays, large amount of data is generated daily in e-commerce applications as click stream data. Because of the availability of this tremendous amount of data analyzing the user browsing behaviour and finding frequent navigation patterns of different web pages accessed by web users is an key element for retailers to optimize the website and personalized the web services of different e-commerce websites. User browsing behaviour is evaluated based on user interests on web pages or products. There are different parameters are considered while analyzing the click stream data for calculating frequent navigation patterns and context based customer behaviour in online data bases. In this paper we developed different models for optimizing and personalizing web service and sequential frequent patterns using the parameters: browsing path, frequently visited web pages, time duration of web pages and user interest. These novel models uses the parameters and applied on click stream data to optimize the web pages and improve the personalized recommendation.