bluuebunny/crossref_metadata_2025 huggingface dataset:
Long-Term Forecast of Energy and Fuels Demand Towards a Sustainable Road Transport Sector in Ecuador (2016–2035): A LEAP Model Application
Authors: Rivera-González Luis , Bolonio David , Mazadiego Luis F. , Naranjo-Silva Sebastián , Escobar-Segovia Kenny
Published: January 2020

The total energy demand in the transport sector represented 48.80% of the total consumption in Ecuador throughout 2016, where 89.87% corresponded to the road transport sector. Therefore, it is crucial to analyze the future behavior of this sector and assess the economic and environmental measures towards sustainable development. Consequently, this study analyzed: (1) the total energy demand for each vehicle class and fuel type; (2) the GHG (greenhouse gas) emissions and air pollutants NOx and PM10; and (3) the cost attributed to the fuel demand, between 2016 and 2035. For this, four alternative demand scenarios were designed: BAU: Business As Usual; EOM: Energy Optimization and Mitigation; AF: Alternative Fuels; and SM: Sustainable Mobility using Long-range Energy Alternatives Planning system. After analysis, the EOM, AF, and SM scenarios have advantages relative to BAU, where SM particularly stands out. The results show that SM compared to BAU, contributes with a 12.14% (141,226 kBOE) decrease of the total energy demand, and the economic savings for this fuel demand is of 14.22% (26,720 MUSD). Moreover, global NOx and PM10 emissions decreased by 14.91% and 13.78%, respectively. Additionally, accumulated GHG emissions decreased by 13.49% due to the improvement of the fuel quality for the vehicles that mainly consume liquefied petroleum gas, natural gas, and electricity.
Information from Earth Observation for the Management of Sustainable Land Use and Land Cover in Brazil: An Analysis of User Needs
Authors: Cerbaro Mercio , Morse Stephen , Murphy Richard , Lynch Jim , Griffiths Geoffrey
Published: January 2020

Brazil has some of the world’s most important forest and natural ecosystem resources and their sustainability is of global importance. The expansion of agriculture for livestock, the extractive industries, illegal logging, land conflicts, fire and deforestation are pressures on land use and drivers of land use change in many regions of Brazil. While different institutions in Brazil have sought to use Earth Observation (EO) data to support better land use management and conservation projects, several problems remain at the national and state level in the implementation of EO to support environmental policies and services provided to Brazilian society. This paper presents the results of a systematic analysis of the key challenges in using EO data in land management in Brazil and summarises them in a conceptual model of the factors influencing EO data use for assessing sustainable land use and land cover in Brazil. The research was based on a series of in-depth, semi-structured interviews (43) and structured interviews (53) with key stakeholders who make use of EO data across different locations in Brazil. The major challenges identified in the complex and multifaceted aspects of using this information were associated with access to, and with the processing of, raw data into usable information. The analysis also revealed novel insights on a lack of inter-institutional communication, adequate office infrastructure and personnel, availability of the right type of EO data and funding restrictions, political instability and bureaucracy as factors that limit more effective use of EO data in Brazil at present. We close this analysis by considering how EO information for the sustainable management of land use and land cover can assist institutions as they respond to the varied political and economic instabilities affecting environmental governance and deforestation levels.
Beyond Enzyme Production: Solid State Fermentation (SSF) as an Alternative Approach to Produce Antioxidant Polysaccharides
Authors: Verduzco-Oliva Ramón , Gutierrez-Uribe Janet Alejandra
Published: January 2020

Solid state fermentation (SSF) is a sustainable process that uses low amounts of water and transforms plant-based agro-industrial residues into valuable products such as enzymes, biofuels, nanoparticles and other bioactive compounds. Many fungal species can be used in SSF because of their low requirements of water, O2 and light. During SSF, plant-based wastes rich in soluble and insoluble fiber are utilized by lignocellulolytic fungi that have enzymes such as lignases, celullases or hemicelullases that break fiber hard structure. During the hydrolysis of lignin, some phenolic compounds are released but fungi also synthetize bioactive compounds such as mycophenolic acid, dicerandrol C, phenylacetates, anthraquinones, benzofurans and alkenyl phenols that have health beneficial effects such as antitumoral, antimicrobial, antioxidant and antiviral activities. Another important group of compounds synthetized by fungi during SSF are polysaccharides that also have important health promoting properties. Polysaccharides have antioxidant, antiproliferative and immunomodulatory activities as well as prebiotic effects. Fungal SSF has also proved to be a process which can release high contents of phenolics and it also increases the bioactivity of these compounds.
Urban Housing Density and Infrastructure Costs
Authors: Kurvinen Antti , Saari Arto
Published: January 2020

Urbanisation is one of the most significant global megatrends and, as a result, major cities are facing multiple challenges. In this study, we contribute to the sustainable urban development debate and examine the relation between housing density and infrastructure costs. The analysis is based on four hypothetical design prototypes and a consistent cost calculation framework. Based on the results, infrastructure costs per capita are the highest in low-density areas and the lowest in high-density areas, if parking is excluded. However, if also construction costs of parking structures are included, the costs per capita are the highest in high-density areas. Considering the notably high cost impact of parking structures and people’s limited willingness to pay for parking, municipally zoned parking requirements in urban areas are likely to result in non-optimal land use. Furthermore, construction in poor soil conditions may only be considered feasible if the floor area ratio and residential densities are relatively high. Beyond the cost benefits, the number of residents that may be accommodated is crucial and higher density in central urban locations should be promoted. We also suggest the cost of urban greenness to be reasonable relative to its many reported benefits and conclude that denser urban structure should not be pursued at the expense of green spaces.
A Hybrid MCDM Model to Select Optimal Hosts of Variety Shows in the Social Media Era
Authors: Wu Lee-Chun , Chang Kuei-Lun , Liao Sen-Kuei
Published: January 2020

The selection of the optimal variety show hosts is a key to television stations. However, no study has a deal with this issue. In this paper, a hybrid multiple criteria decision-making (MCDM) model based on the fuzzy Delphi method, decision-making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and technique for order preference by similarity to ideal solution (TOPSIS) to choose optimal hosts of variety shows for television stations in the social media era was developed. The fuzzy Delphi method was taken as a screening tool for the selection criteria of variety show hosts. Then, DEMATEL was applied to verify the interdependencies between the perspectives. According to the interdependencies, ANP was employed to obtain weights. Finally, TOPSIS ranked the alternatives. The selection criteria were gathered from previous researches and discussions with senior executives of television stations. By the fuzzy Delphi method, 12 criteria were identified. Based on the past study and consultations with four senior executives, we classified 12 essential criteria into four perspectives to develop the hierarchy for the variety show host selection. Under the hierarchy base on four perspectives and 12 criteria, managers of television stations could select the optimal variety show hosts more effectively. The usability and efficiency of the proposed model were also considered by a case study. We offered a distinct contribution to the prior studies by providing a model in the variety show host selection field. In the context of social media competition, this study also added the selection criteria from Internet celebrities.
Comparison of Community and Function of Dissimilatory Nitrate Reduction to Ammonium (DNRA) Bacteria in Chinese Shallow Lakes with Different Eutrophication Degrees
Authors: Li Xiaowen , Song Chunlei , Zhou Zijun , Xiao Jian , Wang Siyang , Yang Liu , Cao Xiuyun , Zhou Yiyong
Published: January 2020

Dissimilatory nitrate reduction to ammonium (DNRA) plays an important role in controlling nitrogen (N) loading in lake ecosystems. However, studies on the linkage between DNRA bacterial community structure and lake eutrophication remain unclear. We examined the community and abundance of DNRA bacteria at six basins of four shallow lakes with different degrees of eutrophication in China. Measurements of the different forms of N and phosphorus (P) in the water column and interstitial water as well as total organic carbon (TOC) and sulfide in the sediments in summer (July 2016) were performed. The nutritional status of Lake Chaohu was more serious than that of the lakes in Wuhan, including Lake Qingling, Lake Houguan, and Lake Zhiyin by comparing geochemical and physical parameters. We found a higher abundance of the nrfA gene, which is a function gene of DNRA bacteria in sediments with higher contents of TOC and sulfide. Moreover, nitrate was a significant factor influencing the DNRA bacterial community structure. A significant difference of the DNRA bacterial community structure between Lake Chaohu and the lakes in Wuhan was discovered. Furthermore, DNRA bacterial abundance and community positively correlated with NH4+ and Chl a concentrations in Lake Chaohu, in which a percent abundance of dominant populations varied along eutrophication gradients. Overall, the abundance and community structure of the DNRA bacteria might be important regulators of eutrophication and cyanobacteria bloom in Lake Chaohu.
Photocatalytic Degradation of Ampicillin Using PLA/TiO2 Hybrid Nanofibers Coated on Different Types of Fiberglass
Authors: Bobirică Constantin , Bobirică Liliana , Râpă Maria , Matei Ecaterina , Predescu Andra Mihaela , Orbeci Cristina
Published: January 2020

New photocatalytic membranes based on polylactic acid (PLA)/TiO2 hybrid nanofibers deposited on fiberglass supports were prepared and tested for the removal of ampicillin from aqueous solutions. The electrospinning technique was used to obtain hybrid nanofibers that were deposited on three types of fiberglass with different structures, resulting in three distinct photocatalytic membranes namely fiberglass fabric plain woven-type membrane, fiberglass mat-type membrane, and fiberglass fabric one-fold edge-type membrane. The results of the photocatalytic tests showed that the highest efficiency of ampicillin removal from aqueous solution is obtained with the fiberglass fabric plain woven-type membrane. Although it has been shown that the rate of photocatalytic degradation of ampicillin is high, being practically eliminated within the first 30 min of photocatalysis, the degree of mineralization of the aqueous solution is low even after two hours of photocatalysis due to the degradation of PLA from the photocatalytic membrane. The instability of PLA in the reactive environment of the photocatalytic reactor, evidenced by morphological, mineralogical and spectroscopic analyzes as well as by kinetic studies, is closely related to the structure of the fiberglass membrane used as a support for PLA/TiO2 hybrid nanofibers.
Numerical Studies on the Suitable Position of Artificial Upwelling in a Semi-Enclosed Bay
Authors: Yao Zhongzhi , Fan Wei , Xiao Canbo , Lin Tiancheng , Zhang Yao , Zhang Yongyu , Liu Jihua , Zhang Zhujun , Pan Yiwen , Chen Ying
Published: January 2020

Ecological engineering by artificial upwelling is considered a promising way to improve water quality. Artificial upwelling could lift nutrient-rich bottom water to the surface, enhance seaweed growth and consequently increase nutrient removal from seawater. However, one of the major obstacles of the engineering application is to determine the suitable position of ecological engineering, which is critical for artificial upwelling’s performance. In this paper, potential artificial upwelling positions in a semi-closed bay are simulated by using the unstructured-grid Finite-Volume Coastal Ocean Model (FVCOM). The results show that the upwelling position with relative small tidal current and close to corner will be helpful to increasing nutrient concentration of surface water, and be appropriate to build the ecological engineering. With proper design of the ecological engineering, it is possible to have a noticeable impact in semi-closed bay. Thus, artificial upwelling has the potential to succeed as a promising way to alleviate the eutrophication.
Environmental Awareness on Water in Eight Anthologies
Authors: B Regina
Published: January 2020

Eight Anthologies (Also known as Ettuthogai) of the Sangam literature had a clear knowledge of water management. Sangam Period people were living in a natural way. The population was low and industries were low and pollution was low. In this region, the Sangam people live in reservoirs of water in rainforests, waterfalls, spring, Torrents, rivers, natural ponds, ponds and wells. Even those days the researchers have recorded the status of water pollution in Eight Anthologies. Natural resources are being destroyed due to the greed of the people who exploit the wealth of the land, water, fire, air and ether provided to man by the five natural elements. So the only way to recover from this situation is to preserve the water resource by presenting the importance of water to the younger generation about the consequences.
Economic Practices of ‘Mama-Mama Papua’ using Shifting Cultivation System: Study Case in Sorong and Maybrat Regencies - Western Papua
Authors: Kadir Hatib Abdul , Mahadika Gilang
Published: January 2020

This research examines women’s role and their decision-making related to swidden farming. This research was conducted in two different regions, Sorong (lowland) and Maybrat (highland) in West Papua. Key informants in this research were indigenous Papuan women, their husbands, and relatives. The aim of the research is to demonstrate that in the realm of traditional agriculture, women play important roles, starting from production, plant nursery, to the crop distribution to market. Nonetheless, the role of women tends to disappear, when the system of agriculture changes to sedentary farming by using chemical substances and other modern and farming technologies.
When Wetlands Dry: Feminist Political Ecology Study on Peat Ecosystem Degradation in South and Central Kalimantan
Authors: Indirastuti Catharina , Pratiwi Andi Misbahul
Published: January 2020

Indonesia tropical peatlands area is 47 percent of out of the total global peatlands. But unfortunately, sustainable peatland governance has not been widely applied in the management of peatlands, instead of being home to biodiversity, peatlands in Indonesia have ended up dry, burning and turned into monoculture plantations. The problem of peat ecosystem degradation is the result of unsustainable - historical environmental governance politics. This study shows the political complexity of peatland governance and its impact on women with a feminist political ecology lens. This research was conducted in several villages in Central and South Kalimantan, the largest tropical peat areas in Indonesia. This study found that 1) Rural women were realized that there are problems with peatland governance, both practically and politically; 2) women and girls have multiple impacts from peat ecosystem degradation ie, women are deprived of living space, women find it difficult to get water and food sources, women take over the role of the head of the family because men migrate but are not always recognized as the head of the family, and women are impoverished because they lose their independence and must work as oil palm workers. This study uses a feminist political ecology study as an analytical tool to see the multi-layered oppression experienced by rural women due to peat ecosystem degradation.
Involvement of Women Village Leaders in Developing Dialogues on Forest Conflict Resolution
Authors: Hendrastiti Titiek Kartika , Kusdinar Pramasti Ayu
Published: January 2020

This article is a study of feminist ecological politics in rural women’s leadership and their involvement in resolving conflicts over protected forests. On the one hand, structurally, there is a complex linkage between social, cultural, adat, and religious practices that prevent women from becoming leaders. On the other hand, after they won the leadership contestation in the village, their task was able to go beyond reconciliation and introduce an alternative discourse on sustainable forest conservation. This study examines three main areas namely: (1) ecological sustainability knowledge, understanding and practices; (2) the practice of equal access to natural resources, and responses to vulnerability to environmental change; and (3) equality practices in village development activism. The narrative of feminist ecological political studies from two villages in Kepahiang and Rejang Lebong Districts shows that women village heads are able to penetrate structural barriers, social exclusion, and dismantle economic class barriers.
Analisis Pengaruh Kecelakaan Kerja Terhadap Pemenuhan Target Produksi Dengan Regresi Linier di PD Tahu Al-Barokah
Authors: Masrofah Isma , Hermawan Fery
Published: January 2020

Abstract— PD Tahu Al-Barokah is a company engaged in the production of tofu by utilizing soybeans as its main raw material. This company is one company that actively produces tofu every day to meet consumer demand, especially in the district of Cianjur. The problem in PD. Know Al-Barokah is the high level of work accidents in the production department. Where this study aimed to find out how much influence the level of work accidents on meeting production targets. The method used in this study is linear regression. The results of the correlation / relationship value (R) of 0.779 obtained the output obtained a coefficient of determination (R Square) of 0.607 which means that the influence of the work accident variable on the variable fulfillment target of 60.7%. Abstrak— PD Tahu Al-Barokah merupakan perusahaan yang bergerak dibidang produksi tahu dengan memanfaatkan kedelai sebagai bahan baku utamanya. Perusahaan ini merupakan salah satu perusahaan yang aktif memproduksi tahu setiap harinya untuk memenuhi permintaan konsumen khususnya di kabupatun cianjur. Permasalah yang ada di PD Tahu Al-Barokah yaitu  adanya kecelakaan kerja pada bagian produksi, yang diprediksi menjadi penyebab tidak tercapainya target pemenuhan produksi. Penelitian ini ditujukan untuk mengetahui seberapa besar pengaruh tingkat kecelakaan kerja terhadap pemenuhan target produksi. Metode yang digunakan pada penelitian ini yaitu regresi linier. Pengaruh variabel kecelakan kerja terhadap variabel pemenuhan target poduksi di PD Tahu Al-Barokah tidak signifikan,  dengan persamaan regresi linier Y = 10432,638 - 66,057X. Hasil nilai korelasi / hubungan (R) yaitu sebesar 0,224 didapat output tersebut diperoleh koefisien determinasi (R Square) sebesar 0,05 yang terdapat pengertian bahwa pengaruh variabel kecelakan kerja terhadap variabel pemenuhan target poduksi sebesar 5 %.
Política de ética (versões em português e inglês) - Revista Letras Raras
Authors: Da Revista Letras Raras (Português e Inglês) Política de ética
Published: January 2020

Política de ética (versões em português e inglês)Revista Letras RarasISSN: 2317-2347Política de Ética da Revista Letras Raras
Rural and Small Community Educator Responses to State Academic Standards
Authors: Babione Carolyn
Published: January 2020

Rural and smalltown schoolsare in the midst of revising curriculum to meet state national mandates. This article presents information gained from a two-year grant funded training program for rural teachers focusing on Indian state-mandated curriculum chane. The context in wich teachers teach and their prevailing attitudes and beliefs about students and learning shape how they respond to the state standards in their classrooms. Teachers respond to state standards through a "customized approach" based on  personal philosophical orientations to teaching and learning.
FACTORS INFLUENCING STUDENTS’ ATTITUDES TO CHOOSE AGRICULTURE AS A PROSPECTIVE CAREER: THE MODERATING ROLE OF CAREER PROSPECT
Authors: Mat Taib Humaira , Abdul Rahim Abdul Rahman , Aman Zaki , Moslim Ramle
Published: January 2020

This research explores the roles of social status and parental influence on student's attitudes to choose careers in agriculture with the moderating role of career prospects among Malaysian students. The survey method was adopted to collect the data from 183 students who enrolled in agricultural related courses. Data of five major sections such as demographic profiles, attitude, social status, parental influence and career prospect were collected by questionnaire. The PLS-SEM technique was used to analyze the data using Smart PLS 3.0. The average age of the respondent is 21 years old with females 66.1% and male 33.9%. The majority are Malay (89.6%), followed by Chinese (6.6%) and Indian (3.8%). This study suggested that social status has significant influenced the student attitude towards careers in agricultural sectors, but not parental status. Furthermore, career prospects moderated the positive relationship between social status and student's attitudes towards an agricultural career. Implications of the findings and suggestions for future research are also discussed.
PECULIARITIES OF TRANSPORTATION OF LARGE-DIMENSIONAL GOODS UNDER MOUNTAIN CONDITIONS
Authors: B.M.Kasymaliev
Published: January 2020

This article describes the features of the transport of bulky goods in the mountains of our Republic.During the transportation of bulky cargoes, difficulties are created for transport and professionals involved in this area.Therefore, this article focuses on the requirements for the transport of oversized cargo, ensuring road safety and road safety.According to well-known sources, a scheme for the design of logistic schemes for the transport of bulky cargo in mountain conditions is given.
ANALYSIS OF THE IMPORTANCE OF SOCIAL VEHICLES FOR THE FORMATION OF LARGE SETTLEMENTS
Authors: E.A.Chakaev
Published: January 2020

During the period of command-administrative economy, the main goal of the state transport policy was to achieve economic efficiency of each type of urban transport separately. The processes of passenger movement that were uniform in nature were formed by transport departments at their own discretion, often to the detriment of the passenger, the state and society as a whole.
PLANNING AND URBAN PLANNING REGULATION OF THE DEVELOPMENT OF THE BISHKEK CITY IN MODERN CONDITIONS
Authors: A.K.Omurkanova
Published: January 2020

The article presents an analysis of the implementation of the master plan for the city of Bishkek, developed in 2006, describes the problems of implementation and urban planning regulation of the development of the city, which are reflected in the schemes and photographic material
AUTOMATION OF ACCOUNT MANAGEMENT OF MAJOR FUNDS OF HIGHER EDUCATIONAL INSTITUTIONS
Authors: M.J.Iskenderova
Published: January 2020

This article is devoted to the development of automation of the management of statistical reporting of fixed assets of higher educational institutions.The main objects and informational links between them were established, a system of the most significant properties was proposed, a structure for organizing the data of a unified system of accounting, monitoring and evaluating the effectiveness of using statistical reports was prepared.
EXPERIMENTAL STUDIES OF SEISMIC RESISTANCE OF HYDROTECHNICAL TUNNELS PARTIALLY FILLED WITH WATER
Authors: А.H. Abdujabarov  , A.B. Kurbanbayev  , N.M. Khasanov
Published: January 2020

The results of experimental studies on the machine centrifugal modeling of the influence of the water layer and the speed of its movement on the magnitude of the voltage in the shell of a hydraulic tunnel.
WALL PRODUCTS ON THE BASIS OF STRAW AND ALKALINE BINDERS
Authors: V.M. Kurduymova  , M.U. Uranova  , M.A. Baituganova
Published: January 2020

The article presents the development of mixtures and technological regulations for wall blocks based on clay binders.
WAYS OF LOGISTICS DEVELOPMENT IN KYRGYZSTAN
Authors: T.B. Esenaliev  , E.E.Kazybekova  , Z.N.Kazakbaeva
Published: January 2020

The main idea of the logistics center is a compact grouping of warehouses and other objects of the logistics infrastructure around the intermodal terminal. The creation of such centers in Kyrgyzstan will create an opportunity for many companies, agricultural producers, farmers to more effectively plan their work, reduce the cost of their goods, increase competition in the domestic market. This will reduce the monopoly of private companies on various activities in the country.
Correction of Load Cell Output using Particle Swarm Optimization
Authors:   Dept. of ECE, BGI, Kolkata, India., Debnath Banashree , Sarkar Indranil ,   Dept. of CSS, BWU, Kolkata, India., Chakraborty Srabanti ,   Dept. of CST, EIEM, Kolkata, India., Dey Rajesh ,   Dept. of ECE, BGI, Kolkata, India., Roy Dr. Sandip ,   Dept. of CSS, BWU, Kolkata, India.
Published: January 2020

load cell is a type of force transducers that transform force and mechanical stress into electrical signal. But the output becomes distorted due to the presence of transient response. Particle Swarm Optimization (PSO) based correction of load cell output is presented this paper. PSO is a robust stochastic optimization technique that considers a swarm of particle (data) as its search space and looks for the best solution. The current approach optimizes a load cell output based on the median value of the signal. The optimization algorithm tries to bring the output response near to the median value.
Diabetes Impacted Cardiovascular Disease Prediction using Machine Learning
Authors:   B. Tech CSE, SRM Institute of Science and Technology, Chennai, India., Mahadevan C.Akash , Kanishka S. ,   B. Tech CSE, SRM Institute of Science and Technology, Chennai, India., S Saisurya. ,   B. Tech CSE, SRM Institute of Science and Technology, Chennai, India., Arun V. ,   CSE, SRM Institute of Science and Technology, Chennai, India
Published: January 2020

Utilizing big data growth in biological and health communities, an accurate analogy of medical data can benefit the detection of diabetes impacting cardiovascular diseases. Using k-Means clustering (kMC) algorithm for structured data of heart disease patients, we narrow down to cardiovascular diseases impacted by diabetes. To our knowledge, none of the previous work focused on predicting heart diseases specifically for diabetes patients. Contrasted to multiple other prediction algorithms, the accuracy of predicting in our proposed algorithm is faster than that of other prediction systems for cardiovascular diseases.
Transition Metal Oxide-Based Perovskite Structures as a Bifunctional Oxygen Electrocatalysts: Fe Doped LaCoO3 Nanoparticles
Authors:   Department of Advanced Materials Engineering, Kongju National University, Cheonan-si, Chungnam 31080, Republic of Korea, Rafi Shaik Mahammad
Published: January 2020

In this report, we have investigated lanthanum cobalt iron (LaCo1-xFexO3) perovskite nanoparticles synthesized by combining metallic nitrates, deionized water, and citric acid by using sol-gel method and subsequently calcinated at 400 °C for 1h and 900 °C for 7h, respectively. The formation of single-phase perovskite structure is a series of LaCo1-xFexO3 (x = 0, 0.2, 0.4, 0.6, 0.8, 1). The crystal structure, mean particle, and morphology properties of the prepared LaCo1-xFexO3 perovskite oxide nanoparticles were examined by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM). The perovskite structure has shown special performance for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) catalytic activity in alkaline medium. As the combined valence transition metal oxides are rising capable candidates for bifunctional electrocatalysts, the electrochemical performance of the LaCo1-xFexO3 catalyst was thoroughly investigated. Koutecky-Levich results on the ORR polarization curves of all compounds shows that the four-electron pathway is favorable on these perovskite oxides. In this paper, we report B-site Fe doping in perovskite structure is a sufficient strategy to improve ORR and OER catalytic activity for application in metal-air batteries.
Effect of Steel Fibre in Non-Conventional Self Compacting Concrete
Authors:   Department of Civil Engineering, Vel Tech University, Chennai, India., M Jayadurgalakshmi. , T Udhaya Kumar. ,   Department of Civil Engineering, Vel Tech University, Chennai, India.
Published: January 2020

In this study self-Compacting-Concrete containing steel fiber offer improvements on strength parameters of self-compacting concrete for M-30 grade of concrete using steel fiber. The main objective of this project has to find the effect of steel fiber on fresh and harden properties of Non-conventional self-compacting concrete. The use of fibers extends its potentialities since fibers arrest cracks and retard their propagation. In this investigation Mix proportion of concrete was 1:1.67:1.31 and maintaining water-cement ratio of 0.6 in order to find harden properties of steel fiber reinforced concrete (SFRC) containing fibers of 1%, by volume of cement. The flexural and split tensile strength of becomes higher compared with the conventional concrete. The non-conventional SCC with demolished aggregate is less costly than the conventional concrete.
Automatic License Plate Recognition using MATLAB
Authors:   Assistant Professor, Dept of CSE, SRM Institute of Science and Technology, Chennai., Maniraj Mr.S..P. , Reddy g Surya ,   UG Scholar, B Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Bhardwaj Anant ,   UG Scholar, B Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: January 2020

As name characterizes perceiving a number plate consequently, from past decades the use vehicles expanded quickly, in light of this such a significant number of issues like overseeing and controlling Traficant eye on taken autos and overseeing parking area zones to defeat this we need tag recognizer programming so as to discover vehicle through tag ,this will assist us with making fines on vehicles who abuses traffic, charging at tollgates and most significant thing is help a ton when a vehicle is taken. For this we are presenting ALPR utilizing MATLAB, here we are applying picture preparing strategies at different advances preprocessing, character division and acknowledgment utilizing layout matching.in request to expel loud of the picture and increment nature of picture to encourage figuring process by changing characters in the picture into individual content.
Exhaustive Appraisal of Adaptive Hybrid LTE-A Downlink Scheduling Algorithm
Authors:   Assistant Professor, Department .of EXTC, ThadomalShahaniEngineering College, Bandra(w), Mumbai University, Mumbai, India, Bhatia Shrishti , Kunte Dr. Ashwini ,   Vice Principal, Head of.theDepartment of EXTC, ThadomalShahani Engineering college, Bandra (w), Mumbai University, Mumbai, India,
Published: January 2020

Long Term Evolution- Advanced (LTE-A) networks have been introduced in Third Generation Partnership Project (3GPP) release – 10 specifications, with an objective of obtaining a high data rate for the cell edge users, higher spectral efficiency and high Quality of service for multimedia services at the cell edge/Indoor areas. A Heterogeneous network (HetNet) in a LTE-A is a network consisting of high power macro-nodes and low power micro-nodes of different cell coverage capabilities. Due to this, non-desired signals acting as interference exist between the micro and macro nodes and their users. Interference is broadly classified as cross-tier and co-tier interference. The cross tier interference can be reduced by controlling the base station transmit power while the co-tier interference can be reduced by proper resource allocation among the users. Scheduling is the process of optimal allocation of resources to the users. For proper resource allocation, scheduling is done at the Main Base station (enodeB). Some LTE-A downlink scheduling algorithms are based on transmission channel quality feedback given by user equipment in uplink transmission. Various scheduling algorithms are being developed and evaluated using a network simulator. This paper presents the performance evaluation of the Adaptive Hybrid LTE-A Downlink scheduling algorithm. The evaluation is done in terms of parameters like user’s throughput (Peak, Average, and Edge), Average User’s spectral efficiency and Fairness Index. The evaluated results of the proposed algorithm is compared with the existing downlink scheduling algorithms such as Round Robin, Proportional Fair, Best Channel Quality Indicator (CQI) using a network simulator. The comparison results show the effectiveness of the proposed adaptive Hybrid Algorithm in improving the cell Edge user’s throughput as well the Fairness Index.
Business Process Reengineering: A Scope of Automation in Software Project Management using Artificial Intelligence
Authors:   Department of Computer Science and Engineering, Indus University, Ahmedabad, Gujarat, India., Bhavsar Krunal , Shah Dr. Vrutik ,   Research Guide, Department of Computer Science & Engineering, Indus University, Ahmedabad, India., Gopalan Dr. Samir ,   Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India.
Published: January 2020

This research paper aims an analytical study on the software development organization insight into trending automation technologies and their implementation Software Engineering Management (SEM) processes. Software Project Management (SPM) is a scientific art for planning, controlling execution and monitoring. SPM approaches are more focusing towards the essential requirement for the success of software project development. It has been very challenging to manage software development using existing project management procedures driven by software development organizations and this is one of the areas of problem statement for this research. This paper discusses an analytical study for the requirements and consideration of BPR in SPM, explores to spot and emphasizes the important success factors for the execution of a BPR using benefits of Artificial Intelligence (AI) in software development organization. BPR is organizational mechanism that improves ability to respond to challenges of qualitative result by change and improvement in software engineering processes, productivity, product quality and competitive advantages. AI will be the best approach and scope of automation SEM processes for software development organizations. This paper also represents a conceptual view of software engineering model shift for improvements in capability of project managers to handle agile thinking and problem solving for betterment of SPM using Artificial Intelligence.
Factors Affecting the Sales of Airlines in India with Special Reference to Air India
Authors:   Institute of Management Technology, Ghaziabad, Delhi NCR, Singh Chetanya
Published: January 2020

India's aviation industry is largely untapped with enormous growth opportunities, provided that air transport is still expensive to most of the country's population, almost 40 per cent of whom are the upwardly mobile middle class. The industry will engage and work with policy makers to adopt effective and rational decisions to improve India's civil aviation industry. The primary aim is to identify the factors responsible for low sales of Air India. Secondly, the aim is to evaluate the causal relationship between factors identified and the dependent variable airline choice. It was found that Air India should reduce the cost of ticket on both domestic and international flights. Customer doesn’t find services delivered up to the mark. The quality of food, service of cabin-crew, lateness of flight and safety should be improved by Air India to remain competitive in the market. It has become and more imperative for the Air India to prove its mettle and not just settle on the taxpayers money bailed out by the exchequer but also on price, service and safety ground.
Classification of Semantic Similarity Technique between Word Pairs using Word Net
Authors:   Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, India ., Gupta Atul , Goyal Dr. Krishan Kumar ,   Computer Application, Raja Balwant Singh Management Technical Campus, Agra, India.
Published: January 2020

The concept of relevancy is a most blazing topic in information regaining process. In the last few years there is a drastically increase the digital data so there is a need to increase the accuracy of information regaining process .Semantic Similarity measure the similarity between word-pair by using WordNet as ontology.We have analyzed the different category of semantic similarity algorithm to compute semantic closeness between word-pair and evaluate its value by using WordNet.We have compared various algorithms on Miller- Charles data set of 30 word-pair is used to rank them category wise.
E-Voting: Blockchain Based Voting For Secure Vote Casting
Authors:   Master of Engineering Student Department of Computer Engineering, Graduate School of Engineering and Technology, Gandhinagar, State – Gujarat, India., Baraiya Vishal , Joshi Seema B ,   Assistant Professor, Department of Computer Engineering, Graduate School of Engineering and Technology, Gandhinagar, State – Gujarat, India.
Published: January 2020

blockchain is decentralized immutable ledger technology maintaining integrity. So to conduct tamperproof election it’s one of the approach towards it. Smart contracts are Self executed code that is written on Ethereum platform in blockchain. An E-voting system should be completely secure and does not allow voting twice that is double spending in blockchain. So it should be completely transparent. In research work electronic voting application is implemented and tested using smart contract on Ethereum platform with the help of metamask wallet. The results of ballots and votes will be stored on Ethereum blockchain with the help of consensus algorithm proof of stake. This consensus is used in validating a transaction with concept of majority approval. Current electronic voting system requires a centralized authority to control the procedure from ballot input to result output and for monitoring of election. While blockchain technology provide decentralized system which is open across connected nodes. Blockchain assets provide increased level of system security from hacking and fraud. Every transaction in blockchain is time-stamped and signed digitally with the help of cryptographic algorithms, and it assigns unique hash value to every block so it can be trace easily. Blockchain technology is one of solutions because it embraces a decentralized system and the entire databases are owned by many users. The blockchain technology also has much vulnerability due to which many attacks like 51% attack, Double Spending attack, DDOS attack, Sybil attack, Eclipse attack and Routing attack can be performed on it.
Image Enhancement using Recursive Standard Intensity Deviation Based Clipped Sub Image Histogram Equalization
Authors:   Department of Electronics, Kuvempu University, Jnanashyadri, Shimoga, India., S Sandeepa K , Jagadale Basavaraj N ,   Department of Electronics, Kuvempu University, Jnanasahyadri, Shimoga, India., Bhat J S ,   Indian Institute of Information Technology, Surath,, India.
Published: January 2020

The low exposure image enhancement has become indispensable inimage processing for better visibility. The most challenging in image enhancement is especially to curtail over-enhancement problems. This paper presents a method, performs the separation of the histogram based on respective standard intensity deviation value and then recursively equalizes all sub histograms independently. The over-enhancement problem is minimized by this method. It applies more in an underwater image, because of its low light conditions. The experiment results are analyzed in terms of entropy and output image inspection. The proposed method results show significant improvement over earlier recursive based histogram equalization algorithms.
Hardware Implementation of 15-Level Cascaded Multilevel Inverter using Pic16f877a
Authors:   perusing Ph.D.,from Department of Technology, Savitrbai phule Pune Universirty. Pune, Maharashtra, Karpe Suraj R. , Deokar Dr. S.A. ,   Campus Director, ZES’S ZCOER, Pune, Maharashtra, Dixit Arati ,   professor, DOT,Savitrbai phule Pune Universirty, Pune, Maharashtra
Published: January 2020

Multilevel inverters can manufacture a high- power, high- voltage inverter with a multilevel structure to control the voltage of the device. A symmetrical multilevel cascaded standard inverter requires 'n' DC sources for' 2n+1' levels that require isolated DC sources for power conversions. The objective of this paper is to increase the number of levels by reducing the number of dc sources. The proposed scheme is to use a multilevel asymmetrical inverter with a separate DC power supply. The analysis is extended to the use of the single DC power source with the remaining ' n-1 ' DC source being a capacitor and simultaneously maintains the capacitor 's DC voltage level and selects a fundamental frequency switching pattern to produce an almost sinusoidal output. Matlab simulink simulation is performed to verify the performance of the Asymmetrical Multilevel Inverter using isolated Dc source. The results of simulation and hardware are presented and discussed in this paper.
A Direct Discrimination Packet Flow Based Improving Security against Reactive Traffic Attacks in Wireless Communication
Authors:   Sri Vijay Vidyalaya College of Arts and Sciences, Nallampalli, Dharmapuri, Tamil Nadu, India., Vijayshanthi M. , Kowsalya Dr. N. ,   Assistant Professor, PG & Research Department of Computer Science, Nallampalli, Dharmapuri, Tamil Nadu, India.
Published: January 2020

The wireless networks is most difficult of selective filling attacks. If jammer localizations and resistance routing are left alone, both are very promising, and the service overhead is still below the real-time requirements. To propose a new Direct Discriminant Packet Flow Exploration [DDPFE] algorithm based on network utility maximization (NUM) to resolve the centralized reaction disturbance optimization problem in multi-source network without any lose to send the data. The impact of the networks is estimated through interference and combine these estimates with the ability to assign problems in this type of attacks. To overcome this type of physical-layer characterization of cryptographic primitives attacks using a Cooperative Crypto Riddle Hiding Algorithm (CCRHA) for the control channel jamming problem in-network, which takes advantage of the transfer the data using the Ad-hoc network. The resolution to detect the schema attacks and isolate the nodes for the threshold. CCRHA Presenting to find selectively invasive attackers in wireless networks. Multiple metrics are measured to detect areas of interference of the wireless network. Multi-measurement method considered Packet Delivery Ratio (PDR) and signals strength variation as parameters to detect the selective jamming attacks.
Approximate Adder Implementation using Quantum- Dot Cellular Automata for Digital Signal Processing
Authors:   School of Electronics, Devi Ahilya Vishwavidyalaya, Indore, M.P. -452017, India., Chattopadhyay Manju K. , Chowdhary Rameez R. ,   School of Electronics, Devi Ahilya Vishwavidyalaya, Indore, M.P. -452017, India., Upadhyay Kavita T. ,   Department of Electronics and Communication Engineering, IPS Academy, Institute of Engineering and Science, Indore, India,, Pande Neha B. ,   Department of Electronics and Telecommunication Engineering, Institute of Engineering and Technology, Devi Ahilya University, Indore, India
Published: January 2020

We explore quantum-dot cellular automata (QCA) design for approximate computing units in digital signal processors. For this cause, a common approach for design is introduced, and approximation-oriented mirror adders (AMA) are developed. In this work, we compromise power/area efficiency of circuit-level design with accuracy supervision. We compare Approximate Mirror Adder cells designed using conventional CMOS technique and using QCA. Our technique picks fairly accurate adder designs that minimalize the over-all area, hitherto maintaining the ultimate performance by studying their error resilience.
Performance of Ad Hoc Networks using Omni-Directional Antennas with Interference Alignment
Authors:   Assistant Professor, Electronics and Instrumentation Department, VNR Vignana Jyothi Institute of Engineering and Technology,Hyderabad., Vandana S. , Madhavi Dr.T. ,   Professor,Electronics and Communication Department, GITAM Institute of Technology, Visakhapatnam
Published: January 2020

The performance of Wireless ad hoc networks (WANET) using Omni-directional antenna node is improved by lightening the negative impact of interference. This article uses the concept of interference alignment to subsidise the interference effect and to increase the performance of networks nodes. The interference alignment produces synchronization among numerous transmitters with the common interference, so that it aligns at the receivers using easy interference cancellation techniques. The performance metrics throughput, packet loss and delay are improved by using the interference alignment in WANET with nodes using Omni - directional antenna.
Landmark Points Detection in Case of Human Facial Tracking and Detection
Authors:   DEEE department, G D Goenka University, Gurgaon, India., Jindal Anita , Priya Dr. Rashmi ,   CSE department, G D Goenka. University, Gurgaon, India.
Published: January 2020

This paper describes the human facial landmark points detection is very important in the field of image processing as face detect, face identifies, face re-construct, face corners alignment, different head pose and facial expression analysis. Facial landmark is an essential point for applying face processing operation ranging from biometric recognition to mental states. In this paper, Haar cascading face detection technique is used to face detection and tracking. Histogram of Oriented Gradients (hog) has been used for 68 landmark points detection in case of human tracking and detection and support vector machine (svm) classifier are used for 68 landmark points detection for right-left eyebrow, left-right eye, nose, lips, chin, and jaw. The existing methods work effectively but many issues occur in detection as of different head poses, facial expressions, facial occlusion, illumination, colour, shadowing and self-shadowing etc. The performance of experimental results shows the advantages of our purposed method is highly accurate in terms of facial 68 landmark points tracking and detection and less error detection rate with the Multi-PIE database.