bluuebunny/crossref_metadata_2025 huggingface dataset:
On Estimating the Impact of the Deepwater Horizon Tragedy on the U.S. Frozen Seafood Market: A Conditional Almost Ideal Demand System Approach
Authors: Vickner Steven S.
Published: May 2020

The present study addresses the impact of the Deepwater Horizon event on the U.S. frozen fish and shellfish markets. Given a demand system approach, trends in consumption were carefully measured and tested while controlling for own price, cross price, and conditional expenditure effects as well as autocorrelation. Consumption trends beginning the first week of the data set were unaltered by the event. Moreover, the effect of the event was not statistically significant in either demand system. The aggregate national data for the grocery store distribution channel, which includes mostly imported seafood and some domestic aquaculture-sourced seafood, likely contributes to these findings of lack of avoidance behavior.
BIM-LCA Integration for the Environmental Impact Assessment of the Urbanization Process
Authors: Marrero Madelyn , Wojtasiewicz Maciej , Martínez-Rocamora Alejandro , Solís-Guzmán Jaime , Alba-Rodríguez M. Desirée
Published: May 2020

The construction sector is one of the most polluting industries, generating between 30% and 40% of the worldwide environmental burden in terms of raw materials, direct and indirect energy consumption, waste, and CO2 emissions. Recent advances in computer science and data management have facilitated the evaluation of present and future impacts, thus improving the sustainability of architectural designs. Powerful software tools, such as Building Information Modelling (BIM), allow environmental indicators to be incorporated into the construction elements that make up the project to evaluate it during the design stage. In this work, the state of the art of ecological indicator application through BIM platforms is studied. Barriers and uncertainties are also identified. Subsequently, a model is proposed to evaluate the environmental impact of an urbanization process or a project through several ecological indicators (carbon footprint, water footprint, and embodied energy). To perform this analysis, the most important aspect is to determine the quantities of each construction element and their clear decomposition into subelements, since both aspects add certainty to the analysis. For this purpose, construction cost databases are a good instrument for introducing environmental awareness. The reliability of LCA data, which can be obtained from generic databases or ecolabels such as environmental product declarations, becomes crucial.
Effect of Pre-Extraction on Composition of Residual Liquor Obtained from Catalytic Organosolv Pulping of Sugar Maple Bark
Authors: Kasangana Pierre Betu , Bhatta Sagar , Stevanovic Tatjana
Published: May 2020

Background: We have determined previously that the water extract of sugar maple bark contained an important quantity of a complex sugar. In this study, we investigated the organosolv pulping of pre-extracted bark to follow the acid conversion of sugars into major products, furfural and 5-hydroxymethyl-2-furfural (HMF), while comparing the structures of organosolv lignins. Methods: The bark particles were pre-extracted with an ethanol–water mixture or water only. The extractives-free barks were then converted into cellulosic pulp and lignin by a patented organosolv process. The composition of residual liquor was determined by using HPLC-UV. Results: The pre-extraction with water was more efficient for complex sugars recovery than with the ethanol–water system. HMF was determined to be more abundant in residual liquor than furfural after ethanol–water pre-extraction while their quantities were comparable in the residual liquor after water pre-extraction. The higher yield of HMF from ethanol–water pre-extracted bark (1.18%) than from water pre-extracted (0.69%) could be related to the efficiency of complex sugar removal during the pre-extraction step. Conclusions: The pre-extraction before pulping affected, at least in part, the composition of residual liquor in terms of HMF production. These results demonstrate how the bark can be converted into valuable products and intermediates for organic synthesis.
Malware Classification Using Simhash Encoding and PCA (MCSP)
Authors: Kwon Young-Man , An Jae-Ju , Lim Myung-Jae , Cho Seongsoo , Gal Won-Mo
Published: May 2020

Malware is any malicious program that can attack the security of other computer systems for various purposes. The threat of malware has significantly increased in recent years. To protect our computer systems, we need to analyze an executable file to decide whether it is malicious or not. In this paper, we propose two malware classification methods: malware classification using Simhash and PCA (MCSP), and malware classification using Simhash and linear transform (MCSLT). PCA uses the symmetrical covariance matrix. The former method combines Simhash encoding and PCA, and the latter combines Simhash encoding and linear transform layer. To verify the performance of our methods, we compared them with basic malware classification using Simhash and CNN (MCSC) using tanh and relu activation. We used a highly imbalanced dataset with 10,736 samples. As a result, our MCSP method showed the best performance with a maximum accuracy of 98.74% and an average accuracy of 98.59%. It showed an average F1 score of 99.2%. In addition, the MCSLT method showed better performance than MCSC in accuracy and F1 score.
M-Polynomial and Degree Based Topological Indices of Some Nanostructures
Authors: Raza Zahid , Essa K. Sukaiti Mark
Published: May 2020

The association of M-polynomial to chemical compounds and chemical networks is a relatively new idea, and it gives good results about the topological indices. These results are then used to correlate the chemical compounds and chemical networks with their chemical properties and bioactivities. In this paper, an effort is made to compute the general form of the M-polynomials for two classes of dendrimer nanostars and four types of nanotubes. These nanotubes have very nice symmetries in their structural representations, which have been used to determine the corresponding M-polynomials. Furthermore, by using the general form of M-polynomial of these nanostructures, some degree-based topological indices have been computed. In the end, the graphical representation of the M-polynomials is shown, and a detailed comparison between the obtained topological indices for aforementioned chemical structures is discussed.
BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching
Authors: Lee Junggi , Kong Kyeongbo , Bae Gyujin , Song Woo-Jin
Published: May 2020

Owing to the limitations of practical realizations, block-based motion is widely used as an alternative for pixel-based motion in video applications such as global motion estimation and frame rate up-conversion. We hereby present BlockNet, a compact but effective deep neural architecture for block-based motion estimation. First, BlockNet extracts rich features for a pair of input images. Then, it estimates coarse-to-fine block motion using a pyramidal structure. In each level, block-based motion is estimated using the proposed representative matching with a simple average operator. The experimental results show that BlockNet achieved a similar average end-point error with and without representative matching, whereas the proposed matching incurred 18% lower computational cost than full matching.
Effects of Crucian Carp (Carassius auratus) on Water Quality in Aquatic Ecosystems: An Experimental Mesocosm Study
Authors: Huang Yehui , Mei Xueying , Rudstam Lars G. , Taylor William D. , Urabe Jotaro , Jeppesen Erik , Liu Zhengwen , Zhang Xiufeng
Published: May 2020

The presence of omnivorous fish is known to affect aquatic ecosystems, including water quality. The effect, however, depends on the species in question, and our knowledge is limited on the effect of omnivorous crucian carp (Carassius auratus), a common and often the most numerous fish species in eutrophic shallow lakes in China. We conducted a 70-day outdoor experiment in mesocosms with and without crucian carp to examine whether this species adversely affects water quality by increasing the levels of total nitrogen (TN) and total phosphorus (TP), thereby stimulating the biomass of phytoplankton and increasing water turbidity. Compared with carp-free controls, the presence of crucian carp resulted in higher TN and TP in the water column, greater phytoplankton biomass and lower periphyton biomass, measured as chlorophyll a. Total suspended solids (TSS) also increased in the presence of fish. We conclude that crucian carp can increase TN and TP, enhance phytoplankton biomass, and increase water turbidity, thereby contributing significantly to the deterioration of the water quality. In addition to controlling external nutrient loading, the removal of crucian carp may help to improve water quality in warm shallow eutrophic lakes.
Climate–Water–Ecosystem–Interactions: Insights from Four Continent’s Case Studies
Authors: Copetti Diego , Salerno Franco
Published: May 2020

The interaction of climate with aquatic ecosystems is a multidisciplinary field of research involving water quantity and quality issues and having strong socio-economic implications. This special issue hosts 10 studies undertaken in 7 countries of 4 continents: Asia, Africa, Europe, and North America. The issue provides a wide spectrum of natural and artificial case-studies and covers a broad range of climatic conditions. Most of the studies adopted a modelling (50%) or a field (40%) approach and focused on water-quantity (60%), while the remaining were equally subdivided between water-quality and biogeochemistry. Forty percent of the papers directly face climate change. The diversity of approaches and case studies is the main aspect characterizing this special issue. Despite this high diversification, in relation to water-quantity related issues, we can identify the following messages: high attention to extreme meteorological events, drought in particular, even in regions once considered rich in water (e.g., northern Italy); fragility of agricultural and water supply systems in the face of extreme weather events, in particular in low-income countries (e.g., Madagascar); more attention to climate change compared to land cover/use change but importance of natural land cover to efficiently face the incoming climate change, in particular, in agriculture ecosystems. From a water quality biogeochemistry point of view, we can point out: sensitivity of lakes to climate change with the risk of biodiversity loss; need to reduce nutrient loads to mitigate eutrophication related problems, exacerbated by climate change; in particular, reduction of nitrogen loads from agriculture run-off, to reduce N2O emissions in large-shallow Chinese environments.
Sandbar Breakwater: An Innovative Nature-Based Port Solution
Authors: van der Spek Bart-Jan , Bijl Eelco , van de Sande Bas , Poortman Sanne , Heijboer Dirk , Bliek Bram
Published: May 2020

The nature-based concept of the Sandbar Breakwater was born based on the typical natural dynamics of the West African coast (Gulf of Guinea). Learning from the development and coastal impact of the existing port infrastructure in West Africa, the application of sand as a construction material for marine infrastructure seemed very obvious. Along this coast, ports experience heavy sedimentation at the western updrift side of the breakwaters, leading to the rapid burying of valuable armour rock. The Sandbar Breakwater concept is based on this principle by using natural accretion as the basis for the port protection. Such a concept is advantageous as a large sediment drift naturally supplements the sand filling works during construction and the required rock volumes are reduced significantly, saving construction time and minimising the environmental impact. To counteract the downdrift coastal retreat, a replenishable sand engine completes the scheme. The realisation of a Sandbar Breakwater at Lekki, Nigeria, in 2018, with subsequent safe and continuous port operations, proves the feasibility of the concept. Sustainable future development is further pursued by integrated maintenance campaigns following the Building with Nature principles to guarantee the operability of the port while preserving the alongshore sediment balance and minimising the environmental impact.
Uptake of direct oral anticoagulants in primary care: an ecological and economic study
Authors: Denholm Rachel , Thom Howard , Hollingworth William , Payne Rupert
Published: May 2020

Background

Clinical trials indicate that direct oral anticoagulants (DOACs) are as effective as warfarin at preventing ischaemic stroke. It is unclear, however, whether relative changes in DOAC uptake have affected clinical and economic outcomes in practice.

Aim

To investigate variations in DOAC uptake and the relationship with hospital admissions and cost.

Design & setting

An ecological study using electronic administrative records from England, April 2012 to March 2017.

Method

Multivariable regression was used to model practice variation in DOAC prescribing, and the relationship with clinical and economic outcomes.

Results

In quarter 1 of 2017, 55.0% of the 2 695 262 patients dispensed an anticoagulant were given a DOAC. There was a two-fold difference in odds of dispensing DOACs between clinical commissioning groups (CCGs) between those with the highest and lowest usage of these drugs. Increases in the relative uptake of DOACs were not associated with hospital admissions for ischaemic stroke (adjusted incidence rate ratio [IRR] = 1.00; 95% confidence intervals [CI] = 0.999 to 1.001), nor gastrointestinal or intracranial bleeds (IRR = 1.001; 95% CI = 1.000 to 1.002). In 2017, quarter 1, CCGs spent £9247 (inter-quartile range £7751 to £10 853) per 1000 patients on anticoagulants. The marginal effect of a 5% increase in DOAC uptake was associated with a £17.95 (£8.75 to £27.15) increase in total costs, per 1000 patient population.

Conclusion

There were significant differences in the relative uptake of DOACs across practices, with greater costs but no reduction in hospital admissions in those with higher levels of dispensing. Findings indicate that clinical and economic benefits of DOACs identified by clinical trials are not realised in practice.
In der Gegenwart erschließen – Für die Zukunft bewahren.
Die Aufgaben und Ziele des Institut Papst Benedikt XVI. im Dienst der Theologie von Joseph Ratzinger / Benedikt XVI.
Authors: Schaller Christian
Published: May 2020

Die vorliegende Abhandlung stellt die Ziele und Aufgaben des 2008 in Regensburg gegründeten Institut Papst Benedikt XVI. vor. Vorerst geht es
um die Edition der „Joseph Ratzinger Gesammelte Schriften“ (JRGS). Mit diesem Projekt möchte das Institut das umfangreiche theologische Werk von Joseph Ratzinger der Gegenwart zugänglich machen und es für die Zukunft zur Verfügung stellen. Die Schilderung der Ziele und Aufgaben des Instituts wird durch den zusammenfassenden Überblick über die Hauptmerkmale der Theologie von Joseph Ratzinger erweitert. Während seines 60-jährigen theologischen Wirkens hat Joseph Ratzinger fast in allen Bereichen des theologischen Denkens mitgewirkt und mit Schrift und
Wort tiefe Spuren hinterlassen. Ähnlich wie seine berühmten Zeitgenossen wie von Balthasar, De Lubac, Rahner und Congar ist er ein Förderer der „neuen Theologie“, die auf der Heiligen Schrift, der Tradition und der Liturgie der Kirche gründet. Seine Theologie ist mit der Verkündigung verbunden, die den Zusammenhang von Glaube und Vernunft
hervorhebt, das Gespräch mit der Gegenwart sucht, Gottes Wirkung in der
Geschichte offenbart, zum persönlichen Verhältnis zu Christus einlädt und die Unmittelbarkeit des Glaubens aufzeigt. Außerdem stellt der Artikel den Inhalt jedes einzelnen der 16 Bände der Gesammelten Schriften dar, von denen 11 bereits veröffentlicht sind, wobei der 6., 7., 8., 9. sowie der 13. und 14. Band aus zwei bzw. drei Teilbänden bestehen. Neben der Edition leitet das Institut ein Archiv, eine Bibliothek, veröffentlich den Jahresband „Mitteilungen“ und koordiniert die „Ratzinger Studien“ mit bisher 18 veröffentlichten Bänden, in denen verschiedene Themen der Theologie Ratzingers wissenschaftlich erforscht werden.
A multidisciplinary study of the Palaeogene succession offshore southern West Greenland
Authors: Dalhoff Finn , Chalmers James A. , Nøhr-Hansen Henrik , Rasmussen Jan A. , Sheldon Emma , Gregersen Ulrik
Published: May 2020

A project with the aim of amalgamating an interpretation of reflection seismic data from offshore southern West Greenland with a new interpretation of well data was finalised at the Geological Survey of Denmark and Greenland (GEUS) in 2001 (Chalmers et al. 2001b). As part of this study, seismic and depositional sequences between major regional unconformities of Danian and mid-Eocene age were delineated and dated.

New palaeoenvironmental and sedimentological interpretations using dinoflagellate cyst, microfossil and nannoplankton stratigraphies and palaeoenvironmental interpretations from the five exploration wells drilled offshore West Greenland in the 1970s have been combined with a revised interpretation of lithology and correlated with the aid of seismic stratigraphy. The Qulleq-1 well drilled in 2000 was relinquished late in the project period (Christiansen et al. 2002, this volume), and it has therefore only been possible to incorporate biostratigraphic information from this well into the project.
Adsorption of Cyanide Contained in Aqueous Solution using Activated Carbon Obtained from Coffee Residue: Adsorption Efficiency; Equilibrium and Kinetic Models
Authors: Arangurí-LLerena Gonzalo , Reyes-Lázaro Wilson
Published: May 2020

This research aimed to evaluate the adsorption process of cyanide ion (CN-) contained in synthetic aqueous solution, using activated carbon obtained from coffee residue, studying its efficiency and equilibrium and kinetic models. Activated carbon was characterized by Fourier Transform infrared analysis (FTIR), X-ray diffraction (DRX), and iodine number determination. A central composite design (CCD) with three factors adapted to three levels each and six central points was applied to study the effect of pH (A), contact time (B) and adsorbent dosage (C); According to the analysis of variance, the factors A, B, C, and the square AA were significant in the adsorption efficiency of cyanide onto activated carbon, whose maximum value reached was 54.68% and 67.65% for the predictive level. According to the coefficient of determination (R2), Freundlich's isothermal model (0.954) and the three kinetic equations of pseudo-second order (0.991, 0.993, 0.993) fit the experimental process. From the results obtained, the active carbon prepared from coffee residue can be used as a potential adsorbent of CN-, contained in aqueous solutions of low concentrations.
Mecanismos de governança em universidades sem fins lucrativos: um ensaio teórico
Authors: Siedschlag Djeison , Lana Jeferson
Published: May 2020

Este ensaio teórico teve como objetivo compreender a dinâmica dos mecanismos de governança corporativa para as universidades sem fins lucrativos. O estudo foi realizado por meio de um ensaio teórico, de natureza reflexiva e interpretativa, buscando aprofundar a temática com base em articulações teóricas. Foi possível verificar a existência de conflitos de agencia, contudo o tema governança corporativa para universidades sem fins lucrativos é incipiente e faltam estudos que desenvolvam a temática no segmento do ensino superior, em especial para universidades sem fins lucrativos, que têm vivenciado significativas transformações no seu modelo de gestão em face da crescente competitividade no setor, do intenso processo de regulação pelas políticas educacionais e das mudanças na relação com o conhecimento. Os resultados demonstram que a adoção de mecanismos de governança corporativa pelas universidades sem fins lucrativos pode contribuir para atenuar conflitos de agencia, embora a teoria da agência desenvolva a relação (conflitos) em organizações de capital aberto com finalidade de lucro, no contexto das universidades sem fins lucrativos contata-se, além do conflito entre principal e agente, o conflito de agência entre gestores e stakeholders.
Peran Corporate Governance Sebagai Pemoderasi Hubungan Antara Knowledge Management Dengan Kinerja Perusahaan
Authors: Riswandari Ernie
Published: May 2020

Abstract. This study aims to test the knowledge management of company company performance which moderated by good corporate governance. The data used in this study are secondary data taken from annual reports from companies in the manufacturing industry sector which were listed on the Indonesia Stock Exchange in 2013-2017. To see how much influence, in this study using a moderated Regression Analysis (MRA) Â using a test tool that is SPSS. The results of this study are that there is a significant influence of knowledge management which is an independent variable and company size which is a control variable on company performance. Good corporate governance as a moderating variable can significantly strengthen the relationship between knowledge management and company performance.Â Keywords: Knowledge management ; company Size ; company performance; good corporate governanceÂ Abstrak. Penelitian ini bertujuan untuk menguji knowledge management terhadap kinerja perusahaan yang dimoderasi oleh good corporate governance. Data yang digunakan dalam penelitian ini merupakan data sekunder diambil dari laporan tahunan dari perusahaan-perusahaan di sektor industri manufaktur yang terdaftar di Bursa Efek Indonesia tahun 2013-2017. Untuk melihat seberapa besar pengaruh maka dalam penelitian ini menggunakan analisis Moderated Regression Analysis (MRA) Â dengan menggunakan alat uji yaitu SPSS. Hasil penelitian dalam penelitian ini adalah terdapat pengaruh yang signifikan Â knowledge management yang merupakan variabel bebas dan ukuran perusahaan yang merupakan variabel control Â terhadap kinerja perusahaan. Good corporate governance sebagai variabel pemoderasi secara signifikan mampu memperkuat hubungan antara knowledge management terhadap kinerja perusahaan.Â Kata Kunci: Knowledge management ; Ukuran perusahaan ; kinerja perusahaan; good corporate governance
Design and Analysis of Hexagonal and Octagonal Honey Comb Structures with Various Materials and FEM Analysis.
Authors:   M.Tech student, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India, Dhananandh* Penumaka , Mamilla Dr.Venkata Ramesh ,   Professor & Head, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India., Murthy K.Sri Rama ,   Sr.Assistant Professor, Department of Mechanical EngineeringSri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India.
Published: May 2020

The demands for automotive interior and exterior panels in present and future request is an optimal combination of materials and cost-efficient production processes. Mechanical andacoustical requirementsof high strength and a weight target result, todayoften in the selection of a sandwich design with a cost efficient and recyclable core material. Honey comb sandwich structures are used in Airplane wings, Ships, Cars, Civil Constructions, etc. Now a days this technology is being used all-over the automotive fields. These designs are the best way for low material usage and high strength. In this project the designs of hexagonal and octagonal honey comb structures are to be analysed and compared for the best result in structure. The structures are to be developed by using SolidWorks[1] software. Solidworks flow simulation is to be used to test the effectiveness and limitations of the structures. Thermal and static analysis are to be analysed by using solidworks simulation software with different types of materials like Titanium, Aluminum, and Stainless steelto identify the best material at low cost and high efficient by applying various loads of finite element method analysis.
Voting Classification Method for Network Traffic Prediction
Authors:   Department of computer engineering Glocal University Saharanpur, Shah.* Altaf Hussain , Afzal Dr M. Mazhar ,   Associate Professor & HOD of computer engineering Glocal University Saharanpur, UP.
Published: May 2020

The prediction analysis is the approach of data mining which is applied to predict future possibilities based on the current information. The network traffic classification is the major issue of the prediction analysis due to complex dataset. The network traffic techniques have three steps, which are pre-processing, feature extraction and classification. In the phase of pre-processing data set is collected which is processed to removed missing and redundant values. In the second phase, the relationship between attribute and target set is established. In the last phase, the technique of classification is applied for the classification. This research study has been influenced by the different intrusion threats on internet and the ways to detect them. In this research, we have studied and analyzed the famous network traffic data -NSL KDD dataset and its various features. The proposed model is a hybrid of Logistic Regression and K-nearest neighbor classifier combined using voting classifier, which aims at classifying the data into malicious and non-malicious with more accuracy than existing methods.
Chronic Kidney Disease using Machine Learning Techniques
Authors:   Assistant Professor, SRM Institute of Science and Technology, Chennai, India., Preethiv*  , kumarkh Naveen ,   UG Scholar, S R M Institute of Science and Technology, Chennai, India., Sriramreddys  ,   UG Scholar ,S R M Institute of Science and Technology, Chennai, India., Saiyaswanthd  ,   UG Scholar, S R M Institute of Science and Technology, Chennai, India.
Published: May 2020

Interminable Kidney Disease (CKD) proposes the realm of kidney chance which may even crumble by means of time and through implying the factors. If it continues finishing all the more dreadful Dialysis is and most desperate conclusive outcomes believable it'd flash off kidney misery (End-Stage Renal Disease). Area of CKD in a starting period should help in filtering by means of the complexities and harm. In the past work portrayal applied are SVM and Naïve Bayes, it happened that the execution time took by methods for Naïve Bayes is irrelevant appeared differently in relation to SVM, confused events are substantially less with SVM that results in less request execution of Naïve Bayes, inferable from gentle exactness distinction. It can be corrected by methods for taking less improvements. Unsuspecting Bayes is a probabilistic classifier a fundamental count by utilizing Bayes Theorem with a prohibitive independence supposition. The artistic creations for the most segment brings around growing symptomatic exactness and decrease commitment time, this is the guideline factor. An undertaking is made to develop a form evaluating CKD data collected from a particular course of action of people. From the model data, recognizing verification should be conceivable. This work has enchanted on developing up a system relying upon gathering procedures: SVM, Naïve Bayes, glomerular filtration rate (GFR) is the best pointer of how well the kidneys are working.CKD has got no cure but it can be treated based on symptoms to reduce complications and
People Mood Changing using Mobile App
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Building and Technology, Coimbatore, Tamil Nadu, India., Venkatesh* Mr.R. , Balaji S.Arun ,   Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India., Gayathri M. ,   Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India., Muhilavan A. ,   Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India., Nevetha P. ,   Student Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Published: May 2020

This System present a coordinated wearable framework that joins a pulse (HR) checking framework with a stage counter. This structure fit for wear and has a mobile application, and a node. The Data received from the wearable gadget is uploaded to a cloud server and that data can be viewed through a smartphone application that displays the information about the heart rate and the number of steps walked to the user. The smartphone application takes a survey about the user’s favorites once at first when they register. Whenever the heart rate goes above 80 along with the steps inactive, the YouTube link will be sent as SMS to the registered mobile number in order to reduce their heart rate to normal. According to recent studies in India , the death rate in 2018 is 34 percent due to heart attack. The key cause or symptom of a heart attack is a rise in blood pressure if we can control our blood pressure properly by decreasing the mortality rate from 10 to 15 percent.
Analysis of Http Cookie Hijacking in the Wild
Authors:   Bachelor’s Degree, Computer Science, K L University, Vijayawada, India., Samhitha* K. , Tharun K. ,   Bachelor’s Degree, Computer Science, K L University, Vijayawada, India., Likhith P. ,   Bachelor’s Degree, Computer Science, K L University, Vijayawada, India., Srinivasarao Dr.T. ,   Professor, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India
Published: May 2020

Because cookies act as the sole evidence of user identification, web sessions are especially vulnerable to attacks through session hijacking, where the server operated by a specific user sends users ' identity requests. If n > 1 cookies are used to execute a session, n sub-sessions that actually run on the same website where the individual cookies are used to access part of the session's state details. Our cookie hijacking analysis shows a range of significant defects; attackers may reach Google's home address and work address and websites that are accessed by Bing or Baidu, show the entire browsing history of the user, and Yahoo enables attackers to delete the list of contacts and upload emails from the account of the consumer. For fact, e-commerce providers such as Amazon and Ebay have a limited, complete customer order background, so almost all platforms have a user name so e-mail address on their page. Ad networks like Doubleclick will also expose pages accessed by the customer. In this article, we propose to improve the latest state-of - the-art HTTP(S) session control by utilizing user fingerprint.A vast range of functionalities of the new client tracking makes session identification on the server observable and dramatically increases the threshold for attackers. Furthermore, this paper describes HTML5 and CSS capabilities for client fingerprinting and the recognition or authentication of a device by using the UserAgent list.
Signature Recognition using 2D Discrete Wavelet Transforms
Authors:   Department of Physics, IFTM University, Moradabad244001, India,, Kumari* Meenu , Kumar Anil ,   Department of Physics, Hindu College, Moradabad244001, India,, Saxena Manish ,   Department of Physics, Moradabad Institute of Technology, Moradabad -244001, India
Published: May 2020

Signature recognition is one of the most secure techniques used for person identification. Wavelet transforms possess an extra time localization property over Fourier transforms, despite both are frequency localized. That is why; it is more useful to analyze the one dimensional and two dimensional signals both. First of all the features of a signature are extracted and then matching is performed. We have proposed feature extraction technique using discrete wavelet transforms level-1 and matching of signatures are performed using some statistical parameters of discrete wavelet coefficients using matching percentage, sum of absolute difference, mean square error and city block distance.
Automatic Potholes and Humps Detection and Alerting through SMS
Authors:   Assistant Professer, Electronics and Telecommunications Department ,SVERI’s College of Engineering, Pandharpur., Deshmukh* Prof. Manoj A. , Sanjekar Miss. Pratiksha V. ,   Student of B.E of Electronics and Telecommunications Department, Studied in SVERI’s College of Engineering, Pandharpur., Patil Miss. Sayali S. ,   student of B.E of Electronics and Telecommunications Department, Studied in SVERI’s College of Engineering, Pandharpur., Maradkar Miss. Dnyaneshwari S. ,   student of B.E of Electronics and Telecommunications Department, Studied in SVERI’s College of Engineering, Pandharpur.
Published: May 2020

Now a days we face such a lot of problems associated with road. To avoid this problem many methods has implemented but still problem is not fixed. In past days manual methods are used for inspection of road but due to traffic manual method does not work properly. Also manual method takes lot of time and still gives wrong output. To resolve all this problems we used this advanced techniques to detects the condition of road. Automatic detection of potholes and humps is used for sending the alert to government authority for maintenance of road. To find out the poor condition of roads such as potholes and unequal elevation to avoid accidents and damage of vehicles this projects is very much useful. Here, Ultrasonic sensors are used to analyze and calculate the depth and height of potholes as well as humps. Ultrasonic sensors uses ultrasonic waves to find out the distance between sensor and target object. To find out correct geographical position coordinates of the potholes and irregular humps we will be using the receiver of GPS. The data which is sensed by GPS includes pothole and hump location in the form of latitude, longitude, which is stored in the server. This gives information to the government authorities about the correct position. So that, government can take all possible decisions related to maintenance as early as possible and avoid accidents based on data provided by the GPS. Once the problem will be rectified the database updates accordingly and alerts or notification is given through short message service.
Data Authorization in Social Network using Block Chain
Authors:   Assistant Profeesor, Department of Computer Science And Engineering, Sri Shakthi Institute of Engineering and Technology Coimbatore, G* Umamaheswari , Adharsh B Sai ,   UG Student , Department of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore, P Shanjeev ,   UG Student , Department Of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore, K Vignesh ,   UG Student , Department of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Bharathi M Thangai ,   UG Student Department of Computer Science and Enginerring Sri Shakthi Institute If Engerring And Technology,Coimbatore
Published: May 2020

In India most of the people are into social networks. Some people are taking advantage of this and spreading fake and irrelevant news in the society. Due to these major riots, culture oriented problems, fake medical messages are spreading over the people. Still there is no technology to identify these problems. Here we are introducing block chain to overcome all the above mentioned problems. Our method finds the solution for these major issues. Using the above mentioned explanation with SHA256 algorithms supports block chain a lot to implement. In case of any changes done in the mid node, using the hash function and SHA 256 algorithm, the man in the middle can be identified. The entire hash should be exactly match with the primary hash. So that data cannot be changed in the middle. In case of any changes occurred the data owner will be get notice.
Sensor-based Waste Handling System
Authors:   Department of Computer Science and Engineering SCSVMV University, Kanchipuram, Chithan.S* Vishnu , S Rajagopal. ,   Department of Computer Science and Engineering SCSVMV University, Kanchipuram
Published: May 2020

Earlier, separation of waste objects was a tedious process for humans since it requires thorough identification of each object’s nature. The identification and segregation of waste products are indispensable processes. The project consists of an Image Classification section where the waste is captured with the help of Raspberry pi camera and processed in the appropriate environment to classify if the waste is biodegradable or non-biodegradable. The classified image is set with a key and delivered to the breadboard which is connected with Raspberry pi to illuminate the LED accordingly. The untrained or unidentified object is marked with a different LED and can be left for a new training process so that the system collects the features of the particular object and be ready with a model. Following is the Waste Management System. An Ultrasonic sensor is placed at the corner to dump the waste in the corresponding bin with the help of servo motor, which contributes to swap the bins by rotating itself in 180 degrees when non-biodegradable waste is identified. The classified object is disposed in its bin which concludes both the classification and segregation processes. Manual labour is minimized through this automatic waste identification and disposal.
Human Activity Recognition
Authors:   Assistant Professor, ECE Department, Delhi Technological University, Delhi, India., Ms. Shikha*  , Kumar Rohan ,   B-tech, Electronics and Communication, Delhi Technological University, Delhi, India., Aggarwal Shivam ,   B-tech, Electronics and Communication, Delhi Technological University, Delhi, India., Jain Shrey ,   B-tech, Electronics and Communication, Delhi Technological University, Delhi, India.
Published: May 2020

The topic of Human activity recognition (HAR) is a prominent research area topic in the field of computer vision and image processing area. It has empowered state-of-art application in multiple sectors, surveillance, digital entertainment and medical healthcare. It is interesting to observe and intriguing to predict such kind of movements. Several sensor-based approaches have also been introduced to study and predict human activities such accelerometer, gyroscope, etc., it has its own advantages and disadvantages.[10] In this paper, an intelligent human activity recognition system is developed. Convolutional neural network (CNN) with spatiotemporal three dimensional (3D) kernels are trained using Kinetics data set which has 400 classes that depicts activities of humans in their everyday life and work and consist of 400 and more videos for each class. The 3D CNN model used in this model is RESNET-34. The videos were temporally cut down and last around tenth of a second. The trained model show satisfactory performance in all stages of training, testing. Finally the results show promising activity recognition of over 400 human actions.
Blockchain: Security Services Provided for the Accident Detection
Authors:   Master of Technology, school of Computer science and Engineering, Galgotias University, Gautam Buddh Nagar, Greater Noida, U.P., 201308 India., Kumar* Abhilash , Balamurugan Dr. B. ,   Professor School of Computer Science and Engineering Galgotias University., Gautam Buddh Nagar, Greater Noida, U.P., 201308 India.
Published: May 2020

In the 21st century the traffic congestion is common problem. Due to traffic congestion the accident happened every day. In this paper I proposed to detect the accident on the CCTV camera through video statistics acquisition and image processing and provided the security through the block chain. Now these days it is very important to detect accident video and provided security. Many time people did for own purpose. So always need to provide the security for this kind of CCTV footage in real time. Anyone try and control the video integrity, due to this reason the hash value of the video also change. The hash value is mismatched with the value secure stored inside the blockchain. By using this method, the integrity of video proof cannot be disputable. In this paper, we applied trusted timestamp for verifying the video integrity. Trusted timestamping is an efficient method for verifying unmodified virtual information in a fixed particular point in time. CCTV videos have come to be a valid form of proof in court. Also this method to overcome some of those issues is to get admission to independent facts that such kind of events improves knowledge of what truly occurred in accident. It provides the more and clear information about the accident. After the detecting accident footage decentralized or distributed over the cloud. The security cell gets the data footage or video from cloud. There are the many technique to find detect the accident detection, ex-image processing accident detection, statistics acquisition and image processing ,Adaptive algorithm, Based on the object detection using the machine vision technique.
The Effect of Temperature on the Viscosity of Cobalt Ferrite Nanofluids
Authors:   School of Chemical engineering, Hanoi University of Science and Technology, Hanoi, Vietnam., Quyen Duong Hong , Anh Tran Van ,   School of Chemical engineering, Hanoi University of Science and Technology, Hanoi, Vietnam., Nguyen* Hoang Thi Kieu ,   School of Chemical engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.
Published: May 2020

The temperature dependence of viscosity is an essential property of the magnetic fluids applied for heat transfer systems. This property was considered in our work for Cobalt ferrite nanofluids - one of the most explored magnetic materials recently by their improved magnetic characteristics. Cobalt ferrite nanoparticles (CFNPs) were prepared by the co-precipitation method. The characterization of the synthesized particles was analyzed by various techniques such as X-ray diffraction, transmission electron microscopy, vibrating sample magnetometry, and thermal gravimetric analysis. The effect of temperature on the viscosity of Cobalt ferrite nanofluids was investigated. Experiments were carried out in the range of particle concentration from 0.5 to 7 % without and with a magnetic field application. The dynamic viscosities of these nanofluids were measured as the shear rate and temperature dependence under the magnetic field of different intensities, using a standard rotating rheometer. The cobalt ferrite fluids exhibit a yield shear-thinning behavior at all the temperatures from 25 to 55 oC. The experimental results show that the viscosity decreases when the temperature is increased. This variation is exponentially and dependent on the shear rate. The temperature-dependent viscosity is not influenced significantly by either particle concentration or magnetic field. From the obtained results, the Arrhenius equation for the viscosity-temperature relationship is applied.
Two Layer Image Encryption using Symmetric Key Algorithms
Authors:   Information Technology, ABES Institute of Technology, Ghaziabad, India., Chauhan* Sumakshi , Pathak Shreya ,   Information Technology, ABES Institute of Technology, Ghaziabad, India., Kumar Sumit ,   Information Technology, ABES Institute of Technology, Ghaziabad, India.
Published: May 2020

Security of data (text, audio, and images) is becoming more complex with the increment in its amount. In order to upsurge the reliability, the captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is used to ensure authenticity. In contrast, even these captchas can be hacked and security can be easily impeached, aim of these captchas is to identify if the user is genuine or else if it is just a robot trying to spam the system. This paper presents auxiliary hybridization of AES and Blowfish cryptographic algorithms for image encipherment and decipherment. Here, AES is using Blowfish as its subroutine where Blowfish encrypts and decrypts the AES encoded image. This is then handed to AES for second level decryption. Here the image which is to be encrypted is applied to AES algorithm, its output is further used as an input for Blowfish algorithm. Output of this doubly encrypted image is then decrypted in the reverse order of encipherment. This auxiliary hybridization adds security to the image rendering it the capacity to become useful in highly important organizations. Private key cryptography uses single secret key at both, the sender and the receiver end. Using symmetric key cryptographic algorithm for this process makes the complete process fast and more secure in comparison to when asymmetric cryptographic algorithms are used for the same purpose. Moreover, symmetric key cryptographic algorithms are more suitable for larger files and images. These also help in maintaining the confidentiality of the data.
To Examine the Traffic Characteristics of Urban Area and Provide Solution with Simulation Technique
Authors:   Professor in G. H. Raisoni college of Engineering & Management Wagholi, Pune, Joshi* Vaishali Pandurang , Patil Dr.Ajit Rajdhar ,   Assistant Professor, Civil Engineering Dept., MIT College of Engineering, Pune University.
Published: May 2020

Traffic Congestion is a situation of transportation system that results in slow speed of vehicles, take large time for trip and increase vehicle quening. In metro city, traffic congestion is the major problem. Pune comes in metropolitan city. The increasing number of vehicles in the metro city leads to traffic congestion. Thus, there is need of proper traffic management in the city. The objective of this research work is to study the traffic characteristics of urban area and provide simulation technique. The study is based on traffic data collected for 8 days during peak and non-peak hours. Different study is carried out to find out the problem statement like volume study, travel time studies, parking studies, delay studies, pedestrian studies, and accident studies. The study is divided in four major parts like Causes of traffic congestion in urban area, remedial measure to avoid traffic congestion. Current IRC specification on SH-27, and new traffic strategies can be implemented by Simulation of Urban Mobility SUMO - for analysis before they are using in real word simulation. In this research paper, we comparatively study the Indian Road Congress (IRC) SP:84-2014 for state highway 27 i.e.Nagar road and that study is divided into the 12 major points .
Inverse kinematics Solution of PUMA by using ANFIS Technique
Authors:   Research Scholar I.KG Punjab Technical University, pursuing P.hd in Electronics and Communication Engineering, Punjab, India, Singh* Gurjeet , Banga Dr. Vijay Kumar ,   Principal and professor of the Department of Electronics & Communication Engineering, Amritsar College of Engineering and Technology, Amritsar, Punjab, India
Published: May 2020

In this paper Inverse kinematics solution of the PUMA 560 is solved. In robotics the main problem is to find the inverse kinematics solution. Forward kinematics is calculated with the help of D-H (Denavit-Hartenberg) parameter method. Now a day’s inverse kinematics is the area of research in robotics. In present paper, Inverse kinematics is calculated by mathematically and by ANFIS and then difference between the predicted value and deducted value is calculated. Workspace area of PUMA Robot is also shown in this paper.