bluuebunny/crossref_metadata_2025 huggingface dataset:
Bigdata and Deep Learning: Using Python Keras Predict Patient Diabetes and Employee’s Wages per Hour
Authors:   Department of CSE, Malla Reddy College Of Engineering For Women, Maisammaguda, Dhulapally, Kompally, Medchal (M), Secunderabad, Telangana, Rajeev C. , Damodar A. ,   Department of CSE, Malla Reddy College Of Engineering For Women, Maisammaguda, Dhulapally, Kompally, Medchal (M), Secunderabad, Telangana
Published: January 2020

In this paper we analyze big data analytic & Deep Learning is not supposing as two entire various concept. BigData mean extreme simple larger data into set in that may be analyzes as finding into pattern, trend. The first techniques in that may useful with data analyzed therefore in capable to helping to finding abstract pattern into Big Data is DeepLearning. It is applying into DeepLearning into Big Data, it can be find out nameless & useful pattern in that not possible up to now. This is technique as present into extra active areas into researches in the medical sciences. From increases sizes & complex into medical data’s such as X-ray, deeplearning gain into small success to prediction as several diseases such as pneumonia, diabetes. The project is proposed into two deeplearning model used to Keras & too we can be building in a regression models in to predicted as employee pay per hour, & we are builds in a classifications models in predict when it is na patient have been diabetes.
Expedite Knowledge in Minining with Resolute Applications
Authors:   Department of CSE, Malla Reddy Engineering College for Women, Maisammguda, Hyderabad, TS, India., Preethi K.
Published: January 2020

Due to the nice blessings numerous organizations square measure exploitation data’s processing technology. Tending may be a very important half for everybody. Completely various latest technology square measures invent into look at physical condition & find us symptom as the various deficiencies. There's an enormous quantity of knowledge attached it together with at patient old medical record, examinations into history, & both the private details. In the opposite handing, as several container the symptoms square measure on the market before one thing happens to somebody like strokes. In the symptom square measure famed, anybody will took in finished precautions, & also the unexpected risks into severely impact will have reduced and maybe will be avoids. Because there square measure great deal of knowledge associated with the medical systems, associate economical methodology to search out the acceptable knowledge to the information are needed. Data’s’s processing as one and only most effective solution with the purposed. At studies as a data’s processing application in tending with some recent progress during fields is bestow during into thesis.
Kinematic Analysis of the Dam and Powerhouse Sites of the Baglihar Hydropower Project
Authors:   Department of Geology, University of Jammu, Jammu, India., Kumar Romesh. , Bhat G. M. ,   Department of Geology, University of Jammu, Jammu, India., Singh Yudhbir ,   Department of Geology, University of Jammu, Jammu, India., Singh Arjun ,   Department of Geology, University of Jammu, Jammu, India., Haq* Ahsan Ul ,   Department of Geology, University of Jammu, Jammu, India.
Published: January 2020

The present study assesses the slope stability at the most significant Baglihar Dam for slope failure and landslides occurrences. The study comprises of twelve sites which were selected for detailed geotechnical investigation for assessment of potential slope failures using basic Rock Mass Rating (RMRb), Slope Mass Rating (SMR) and kinematic analysis techniques. The results show that even though the rocks are of fair quality but other factors including joint pattern and density caused by tectonic and anthropogenic activities have rendered three sites completely unstable, 8 sites are unstable and one site is stable. Moreover Nine sites are susceptible to wedge failure, six to topple and two to plane failure. The RMRb value varies from 45 to 55 and SMR value varies from 11 to 44. The thorough results and interpretation of work done is presented in this paper.
Inflation Tendency Iin IIndia Iwith ISpecial Reference Ito Indian ICurrency IAgainst Ius IDollar
Authors:   Head and Assistant Professor, Sengunthar Arts and Science College, Tiruchengode, Revathi Dr.M.
Published: January 2020

Foreign Exchange Risk management is technique of mini mising the risk due to fluctuation in value of currency in concern. If we talk of Indian Rupees against US Dollars. It could be without difficulty observed that US dollar look Like to be valued against the value of Indian Rupee with way of time. Although it is tough to comment on any single reason for such sort of appreciation or depreciation of currencies. As there are so many factors at Micro and Macro level like Inflation, Interest Rates, Export-Import, Balance of Payment, Trade Deficit, Currency in Usage, Economic Policies of Nation or Union, Holding Tendency of Forex Traders/ Speculators, Circulation. Although its hard to comment that what accurate currency policy should be accepted so that economy would have sustainable development. The Objective of Research Paper is to study the relationship between Inflation of India and US with alter with value of Rupee against US Dollar. Even if inflation is not separate factor to decide currency price but still imperative factor in formative currency value, as inflation impacts investment, import and exports too. To check the impact of Rupee value in context of US dollars, the data of 30 Years of Consumer Price Index of United States and India along with 1USD=X Rupees value annual has been take and Multiple Correlation/ Regression analysis iSPSS has been applied. Forex Rate is composite variable that depends on a number of macroeconomic variables like Level of Forex Reserve-Low forex reserve is one more reason for currency fall. India‟s forex reserves have declined in recent past. So India has to import these at upper price. When the rupee value gets depreciated -Dollar acquiring strength against other currencies- Dollar acquiring strength against other currencies is another reason as in today‟s world Cross Currency exchange rate also exists due to arbitrage and ease in Global Financial Transactions. Another reason for reduction of currency is: there is no clarity on policy reforms and non clarity on guiding principle in reforms. This research had to find out the relationship between Inflation (Consumer Price Index India, United States) and is gnificant economical factors and got some useful results linked to this. Multiple Correlation/ Regression study has been used to do the analysis based on annual basis.
Secured and Automated Water Management Powered by Arduino
Authors:   Assistant Professor, Department of MCA, N.M.A.M. Institute of Technology, Karkala (Karnataka), India., B R* Puneeth , K R Raghunandan ,   Assistant Professor, Department of CSE, N.M.A.M. Institute of Technology, Karkala (Karnataka), India., K Bhavya ,   Assistant Professor, Department of Mathematics, N.M.A.M. Institute of Technology, Karkala (Karnataka), India.
Published: January 2020

The water crisis everywhere on earth today, with the current state, correct measures can still be taken to avoid the crisis from worsening. There is an increasing awareness that the water resources are limited and need to be protected both in terms of quantity and quality. In recent years, the number of people deprived of access to clean drinking water has increased substantially. So, there is a need for proper measures aiming at the preservation of water resources in terms of quality and quantity. In this project taking a locality to reduce the water wastage problems. This model going to make use of different tools like Arduino board, GSM module, sensor and solenoid valve to supply the water to a locality as per their requirements. This will help so that there won’t be any wastage of water and illegal use of the water for one’s own profit.
Determination of Thermal Pollution Effect on End Part of Stream
Authors:   O. F., Research assistant in National Water Research Center & M.Sc. Student, PWD, Fac. of Eng., ASU, Cairo, Egypt., Amaal* Mahmoud , M.H. El Nadi ,   Professor of Sanitary & Environmental Eng., PWD, Fac. of Eng., ASU, Cairo, Egypt, A.H. Nasr N. ,   Associate Professor of Sanitary & Environmental Eng., PWD, Fac. of Eng., ASU, Cairo, Egypt, M.B. Ezat ,   Researcher of Hydraulic Engineering, Hydraulics Research Institute, NWRC Qaliuobya, Egypt
Published: January 2020

The present study was conducted to evaluate the environmental impact of thermal effluent sources on the main water quality parameters at the low flow conditions. The low flow causes the flow velocity to be low which causes accumulation of any pollutant source. The study was performed by creating a 2-d model of the last reach of Rosetta branch at winter closure. Delft 3d software is used to create a hydro-dynamic model to simulate the flow pattern within a 5 km of the branch upstream Edfina regulator. Water quality model is coupled afterwards to simulate the water quality parameters. A base case scenario of the current state at the low flow condition is set up and calibrated. Another scenario is performed after adding a thermal pollutant source. Thermal power plant is used as an application of thermal pollutant source. Cooling water is with drawled from an intake and discharged back to the water source with a relatively higher temperature downstream the intake. A case study of Dairut thermal power plant which is planned to be constructed at this area is used. Hydrographic survey is performed to collect essential hydraulic data for the model. Field measurements are performed to collect water quality along the area. A numerical model was set up and the area was simulated. Results showed accumulation of thermal plume. The higher temperatures lowered the dissolved oxygen in the thermal plume area. On the other hand, BOD and NO3 values increased with different rates. Ammonium was positively affected and was lowered.
Development of an Efficient Router Based on Network on Chip Network
Authors:   Research Scholar Currently Pursuing my Phd in SJBIT, Affiliated to VTU, M.tech in Dr AIT College, BE in Dr AIT Bengaluru, India., N* Geethanjali , K.R Dr. Rekha ,   Presently working as Professor in the Department of ECE,SJBIT,Bengaluru -60.She Obtained BE in electronics from Bangalore university in 1995 ,ME from BMS institute of technology ,Bangalore ,and Phd in MGR university Chennai, India.
Published: January 2020

A reconfigurable VLSI architecture for router is the main solution for communication interface quality of service go flexibility of network, cost of chip .The proposed architecture dynamically configure itself with respect to hardware modules such as packet based switch, router and data packet size by changing the conditions of communication and it's requirement at run time .In network on chip were using extended XY algorithm to improve performance of communication. The proposed design work avoids the dead lock and data loss in the path with the help of this design we can achieve high Data through put and low latency .in this paper we are receiving the previous method and approaches of dynamic reconfigurable router in network on chip
Potential Application of Hough Transform to Extract Hot Spot Delineated Boundaries Using Landsat-8 Satellite Images
Authors:   Department of Computer Application, Integral University, Lucknow, India., Ahmed* Tasneem , Usama Mohammd ,   Department of Environmental Science, Integral University, Lucknow, India.
Published: January 2020

Coal fires, also known as subsurface fires or hot spots are all-inclusive issues in coal mines everywhere throughout the globe. Aimless mining over a period of past 100 years has prompted large scale damages to the ecosystem of the earth. For example, debasement in nature of water, soil, air, vegetation dissemination and variations in land topography have caused degradation. Research is needed to be more attentive on developing the prospective use of the satellite image analysis for hot spot detection because ground-based hot spots monitoring is time-taking, complex, cumbrous and very expensive. In this paper, a two-stage model has been developed to extract the hot spot delineated boundaries in Jharia coal field (JCF) region. In the first stage, contextual thresholding (CT) technique has been used to classify the hot spot and non-hot spot regions. After thorough processing, hot spots regions have been retrieved and for performance evaluation sensitivity and specificity are calculated, which suggest that hot spots were detected accurately in successful and efficient way. In second stage, the Canny edge detection algorithm is applied to detect the edges of the hot spot regions and then the binary image is generated, which is later converted into a vector image. Finally Hough transform is implemented on the obtained vector images for delineating hot spot boundaries. In future, delineated hot spot boundaries may be used to obtain the expansion or shrinking information of hot spot regions and it can be used for area estimation also.
Implementation Of Spatial-Scale Domain Based De-Noising Techniques using Different Thresholding
Authors:   Department of Electronics, A.I.M.T Lucknow, India., Husain* Dawar , kumar Upendra ,   Department of Electronics A.I.M.T Lucknow, India., Alam Monauwer ,   Department of Electrical Engg. Integral University, Lucknow, India.
Published: January 2020

This paper aims in presenting a thorough comparison of performance and usefulness of multi-resolution based de-noising technique. Multi-resolution based image de-noising techniques overcome the limitation of Fourier, spatial, as well as, purely frequency based techniques, as it provides the information of 2-Dimensional (2-D) signal at different levels and scales, which is desirable for image de-noising. The multi-resolution based de-noising techniques, namely, Contourlet Transform (CT), Non Sub-sampled Contourlet Transform (NSCT), Stationary Wavelet Transform (SWT) and Discrete Wavelet Transform (DWT), have been selected for the de-noising of camera images. Further, the performance of different de-nosing techniques have been compared in terms of different noise variances, thresholding techniques and by using well defined metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE). Analysis of result shows that shift-invariant NSCT technique outperforms the CT, SWT and DWT based de-noising techniques in terms of qualititaive and quantitative objective evaluation.
Real Time Internationalization and Information Dissemination for Object Identification using Image Processing Algorithms
Authors:   Information Technology department, College of computer and information Sciences Majmaah University, Al Majmaah, Saudi Arabia., Almutairi* Dr. Badr
Published: January 2020

As more corporate users are moving from one country to the other it’s difficult for them to keep learning new languages as the duration of stay by corporate businessman's is less but it’s important that when they arrive at any country for work they should be able to get their daily necessities and other shopping items in local languages. Here there is a catch that they cannot speak the local language to get the product. In this research we will be addressing this issues by giving them a tool which will identify the object in real time and internationalization the information for them by this process and using the tools provided they can get what they want in limited time frame which they stay in international countries. This research will help solve the problem of purchase of products from international market without knowing the local language of the country the solution will identify the objects in real time and then internationalize the information about the product which the customer wants to purchase also voice over will be added so that the object which is identified will be pronounced in the local language where the sale person will understand what the customer wants.
Cloud Computing Data Group Distribution as Well as Restricted Distribution with Multi Owner
Authors:   CSE, Shadan college of Engineering and Technology, Hyderabad, Telangana, India., Saikiran* E. , Dr. Anubharti  ,   CSE, SRU, Alwar, India., Rahman Dr Md. Ateeq-ur ,   CSE, Shadan college of Engineering and Technology, Hyderabad, Telangana, India.
Published: January 2020

withtthetquick headway oftcloudtorganizations, monstroustvolumetof information istsharedtthrough distributed computing.tBut cryptographictstrategies havetbeentutilizedtto give information mysterytintdistributedtcomputing,tcurrent instruments can't approve assurance stresses over ciphertext related with numerous proprietors,twhichtmakestco proprietors unfitttotreasonablytcontroltwhethertinformation disseminators canttruly dispersettheirtinformation.tIntthistpaper,wetproposeta sheltered information bunch sharing and prohibitive dispersal plottwithtmultiproprietortintdistributedtcomputing,tin which information proprietortcantgranttprivate information tota gatheringtoftcustomers by methods for thetcloudtinta protectedtway,tandtinformationtdisseminatortcan spreadtthe information totanothergathering oftcustomers iftthe characteristicstsatisfytthe passageway approaches in thetciphertext.tWetfurthertpresenttatmultipartytget the chance to control instrument over thetdispersedtciphertext,tintwhichtthe informationtcoproprietorstcan attach newtaccesstways tot deal withtthetciphertexttduettottheir security tendencies. Moreover, approach’s, proprietor need andtlion'stoffer permit, realizedtbytdifferent access methodologies. The security examinationtandttest outcomes showtour arrangements helpfultandtpowerful fort secure information offering totmultitproprietortin distributed computing.
Robust Steganography over Noisy Channel
Authors:   Electrical Engineering Department, Faculty of Engineering, King Abdulaziz University, Rabigh, KSA,, Alharbi * Fahd
Published: January 2020

Steganography is accomplished by frequency or spatial domain. In spatial domain method, the important data are inserted directly into the image's pixels. Alternatively, the coefficients of the image frequency transform like DCT are used to carry the important data. Robustness in the presence of a noise is important. In this paper, the robustness over a noisy channel with noise like Added White Gaussian Noise (AWGN), salt and pepper noise and Speckle noise is investigated. The bit error rate is used for system evaluation. Simulation outcomes demonstrate that the frequency based model is stronger than spatial method against channel noise. Moreover, robustness is enhanced via using error correction.
Lesion Feature Detection of Retinopathy Images
Authors:   Department of Electronics & Telecommunication, Yeshwantrao Chavan College of Engineering Nagpur, India., Nimbarte* Nita M. , Mushrif Milind M. ,   Department of Electronics & Telecommunication, YeshwantraoChavan College of Engineering Nagpur, India., Belsare Amoli D. ,   Department of Electronics & Telecommunication, YeshwantraoChavan College of Engineering Nagpur, India.
Published: January 2020

In recent years, Diabetic Retinopathy (DR) is fast growing health problem in the society. Ophthalmologists use exudates, microaneurysms and hemorrhages features to diagnose the DR. Detection of these features plays important role in diagnosis and further treatment. This paper proposes automatic lesion detection and analysis methods so as to identify all three features without human intervention. The algorithm developed includes pre-processing as well as post processing, which is very important in DR images. Extraction of minute details in lesions requires highly enhanced images. Contrast enhancement and Morphological operations were applied on green channel DR images. Further, the segmentation is performed on enhanced DR images to capture required region of interest. The Kirsch algorithm has been applied to capture exudates candidate from DR image. Further Top-hat method on preprocessed image extracts microaneurysms and Thresholding technique has been applied for hemorrhage detection. The performance evaluation of algorithms is carried out through the publicly available database. The proposed algorithms depict better results in detection of three major parameters from digital retinopathy images with respect to toolkit evaluation adapted. This automatic detection method helps in reducing screening DR image time as well. The development of proposed algorithm leads to accurate DR detection by helping Ophthalmologists in the diagnosis process.
Mapping and Area Estimation of Mango Orchards of Lucknow Region by Applying Knowledge Based Decision Tree to Landsat 8 OLI Satellite Images
Authors:   Department of Computer Application, Integral University, Dasauli, Lucknow, India., Verma* Harish Chandra , Ahmed Tasneem ,   Department of Computer Application, Integral University, Dasauli, Lucknow, India., Rajan Shailendra ,   Director, ICAR-CISH, Lucknow, India.
Published: January 2020

Mango is a very important fruit which is liked by majority of the population due to its nutritional value and excellent taste. India is the largest producer of mango in the world. Accurate information is required for policy decision making in terms of providing subsidy, area expansion, and crop insurance planning. Hence, this type of information may be retrieve through satellite images by using the image classification techniques, which are playing a crucial role in crop cover classification, yield prediction and crop monitoring etc. Classification of optical satellite images is still a challenging task due to effect of changing atmospheric conditions such as cloud, snow, haze, dust, fog, and rain etc. In this paper, knowledge based decision tree classification (DTC) has been proposed to classify the mango orchards of Lucknow district using multi-temporal Landsat 8 operational land imager (OLI) images from year 2015 to 2017 and further mango orchard area were also estimated. In order to develop the DTC, separability analysis for various land cover classes was carried out on different vegetation indices namely, normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI), and soil adjusted vegetation index (SAVI). In order to analyze the performance of DTC, most commonly used satellite image classifiers such as unsupervised classifier (i.e. ISODATA) and supervised classifier (i.e. Maximum Likelihood) have been used and it is observed that the proposed DTC outperformed these traditional classifiers. Also, accuracy assessment has been carried out to measure the performance of proposed DTC and it is observed that all of the three images from 2015 to 2017 are classified with high overall accuracy, which is ranging from 70.66% to 86.69%. Kappa Coefficient (KC) for all the three images ranged from 0.65 to 0.83, which indicates that classified images are highly acceptable for area estimation.
Organization of the Process of Productive Operation of Equipment as One of the Necessary Conditions of Rational Production Organization
Authors:   Department of Enterprise Economics, Faculty of Management and Social and Technical Services, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Garina* Ekaterina , Garin Alexander ,   Department of Enterprise Economics, Faculty of Management and Social and Technical Services, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Andryashina Natalia ,   Department of Insurance, Finance and Credit, Faculty of Management and Social and Technical Services, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Vinnikova Irina ,   Department of Enterprise Economics, Faculty of Management and Social and Technical Services, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Kuznetsova Ekaterina ,   Department of Enterprise Economics, Faculty of Management and Social and Technical Services, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia., Suchodoeva Lyudmila ,   Department of Commerce, Institute of Economics and Entrepreneurship, Nizhny Novgorod state University named N.J. Lobachevsky (UNN),, Suchodoev Nikita ,   Department of Economics of Firm, Institute of Economics and Entrepreneurship, Nizhny Novgorod state University named N.J. Lobachevsky (UNN)
Published: January 2020

The service and equipment repairing process is the necessary condition for the growth of production capacity of enterprises, and thereafter it predetermines the approach for organization of production and upbuilding of production streams. In the article different options of reduction of working hours loss are considered, due to equipment downtime elimination because of repair and equipment maintenance on the reason of the increased operation. Also, in the article reserves of growth of labour productivity and reductions of unit cost are identified. It is proved, that current equipment monitoring allows to eliminate different defects in rationing of operating time of the equipment, it also allows to reach the permanent production’s rhythms, to increase the monitoring level, to provide the timeliness delivery of materials and components. As the example, in the research was used factual material of planned measurement of technical condition of the equipment on a separate production of GAS Group, methods of monitoring of technical condition and productive equipment maintenance and standard criteria of the equipment’s condition were developed.
Framework for Enhancing the Performance of Classification by RCOS and HiForest
Authors:   Assistant Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Deemed to be University, Hyderabad, (Telangana), India., Sunitha* Lingam , Raju M. Bal ,   Professor Department of CSE Swami Vivekananda Institute of Technology ,Secunderabad, (Telangana), India.
Published: January 2020

This framework includes two novel approaches to choose the outlier from various datasets. First one being Relative Cosine-based Outlier Score (RCOS).It's proposed to measure the deviation score of the objects in which each single attribute deviation is calculated and multiplied to get the entire object deviation. Initially we set the threshold. If the calculated score is greater than the threshold, then the instance is considered as an outlier. These are identified and removed since outliers are not required for classification. Now, the remaining normal objects are subjected to different methods of classification. The second method is Hybrid Isolation Forest (HiForest). It is an enhanced version of isolation forest. Similar to method outliers are identified and removed. An experimental analysis is performed on synthetic real time data sets considered from weka and UCI repository. Classification models are built and the generated results are tabulated and accuracy is recorded. The results obtained by the above methods are compared and graphs are plotted for visualization.
Enhancement of Shadow Region in an Image using Artificial Neural Network
Authors:   IT department, UMIT, SNDT Women’s University, Mumbai, India., Pokhare* Amruta , Gavhane Sachin ,   IT department, Atharva College of Engineering, Mumbai University, Mumbai, India., Shitole Sanjay ,   IT department, UMIT, SNDT Women’s University, Mumbai, India.
Published: January 2020

Image captured in darker region increases complexities in processing and extracting vital information. Enhancement of such images helps us to retrieve important data and various tools are available for the same. Proposed system uses multi layer feed forward artificial neural network. Error Back Propagation algorithm is used in training process. Desired data is obtained using log transformation method. The proposed model is trained to enhance only shadow part of an image. The results shows enhancement in the darker region and is expected to improve more by changing different parameters in the above methodology.
The Analysis of Size and Arrangement Effects of Petung Bamboo Split Fiber to the Matrix Interface Bond with Laminated Bamboo Split Fiber as Construction Materials for Wooden Vessels
Authors:   Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Central Java 50275, Indonesia., Manik* Parlindungan , Jokosisworo Sarjito ,   Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Central Java 50275, Indonesia., Rindo Good ,   Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Central Java 50275, Indonesia., Mahardika M. Hurri ,   Department of Naval Architecture, Faculty of Engineering, Diponegoro University, Central Java 50275, Indonesia.
Published: January 2020

Bamboo is an extraordinary natural material. Bamboo can grow quickly, is cheap and widely available. The material property is light but harder and stronger than wood or glass fiber composites. The purpose of this study was to determine the effect ofarrangement and size of petung bamboo split fiber to the matrix interface bond of laminated bamboo split fiber. The benefits of this study can contribute knowledge and innovation to the development of science in the field of vessel material technology in education field, especially in the field of shipping. This research was carried out by compressive test, tensile test, and shear test to the matrix interface bond of laminated bamboo and petung bamboosplit fiber with the tangential and radial test directions (x, y, and z axis) using the ASTM D143 standard.After testing, it can be concluded that the tensile strength and compressive strength of the brick arrangement is better, while for the shear strength, it is better in the parallel arrangement, furthermore the thicker the bamboo split size, the greater the stress value. The average results obtained for tensile test is 44 kg/cm2, the shear test is 38,5 kg/cm2, and the compressive test is 341,05 kg/cm2. The average compressive strength of these results can be classified into Strong Class III on BKI (Indonesian Classification Bureau) of Wooden Ships. The direction of the best tensile strength test is on the Y axis, the direction of the best shear strength test is on the Z axis, and the direction of the best compressive strength is on the X axis. The higher the glue Interface value for each cm2, the greater the interface bond strength due to the need of glue in mm/cm2 is higher, on the contrary the lower the glue Interface value in each cm2, the lower the interface bond strength due to the need of glue in mm/cm2 is lower.
Improvement of Marketing Communications of the Hotel Chain under the Conditions of Franchising Relations
Authors:   Nizhny Novgorod State Pedagogical University named after K. Minin, Evgenyevna* Lebedeva Tatiana , Evgenievich Egorov Evgeny ,   Nizhny Novgorod State Pedagogical University named after K. Minin, Valeryevich Semenov Sergey ,   Nizhny Novgorod State Pedagogical University named after K.Minin, Vadimovna Romanovskaya Elena ,   Nizhny Novgorod State Pedagogical University named after K. Minin, Petrovna Prokhorova Maria ,   Nizhny Novgorod State Pedagogical University. named after K. Minin, Alexandrovich Smirnov Nikolay ,   Nizhny Novgorod State Engineering and Economic University
Published: January 2020

The article deals with the issue of improving marketing communications in a hotel from the international hotel chain. The topic of the article in modern conditions is relevant and important in the development of effective marketing communications for many hotels that have opened in Russia recently. It is particularly relevant in connection with the fact that opened hotels representatives of international hotel chains operating in Russia on a franchise basis. The authors see the purpose of the article in formation of proposals to improve the current system of marketing communications. The authors analyzed the theoretical and methodological foundations of the formation of marketing communications in the organization; analyzed the existing system of marketing communications in the Hotel “ibis” in Nizhny Novgorod. The analysis devoted to the research of the theoretical and methodological foundations of the formation of marketing communications in the organization allowed us to conclude that marketing communications in the organization are a concept according to which the organization carefully thinks and coordinates the work of its many communication channels to develop a clear, consistent and convincing presentation about the organization and its goods (products, services). The main purpose of such communications is to demonstrate to contact groups the most important characteristics of the goods (services). The basis for the formation of an effective complex of marketing communications in the organization is segmentation, which allows obtaining the necessary information socio-economic and psychological characteristics of target audiences.The authors proposed the necessary list of communication activities, which does not violate the requirements of the franchise to the implementation of marketing activities. This confirms the practical significance of this article. The proposed measures will allow effective use of marketing tools for promoting the hotel. Companies will receive competitive advantages, attract more guests, and increase the economic efficiency of their activities with the proposed set of measures.
Implementation of a Fuzzy Logic Controller for an Aerothermic Process
Authors:   Mohammed V University of Rabat, High School of Technology ofSale, LASTIMI, Morocco., Khouili* Driss , Ramzi Mustapha ,   Mohammed V University of Rabat, High School of Technology of Sale, LASTIMI, Morocco.
Published: January 2020

The objective of any controller design is to maintain the set point value despite its variation, with a good rejection of various disturbances that can infect the system to be controlled and to minimize the energy consumption. To achieve these objectives, several control methods are proposed in the literature. Nevertheless, due to the non-linear behaviour of most industrial systems, fuzzy logic control remains the most appropriate method to control this type of system. This article compares two fuzzy logic control techniques having two inputs and one output. These methods are applied to an aerothermic process in our laboratory. The obtained experimental results allowed us to achieve the main control objectives, such asset-point trackingand regulation. These results encouraged us to exploit the advantage of each technique, in order to make the controller design simpler and to minimize the time required to calculate the command applied to the process.
Stabilization of Black Cotton Soil by using Quarry Dust and Lime
Authors:   Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India., Anand* J. Chetan , Jain Mehul ,   Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India., Kalyan T. Harish ,   Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India., Rao N. V. Lakshmana ,   Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India, Chamberlin K Shyam ,   Assistant Professor, Civil Engineering department, KLEF, Vaddeswaram, Andhra Pradesh, India.
Published: January 2020

The Population Is Increasing Day By Day So That No-Of Construction Activities Are Increasing Daily Which Turning The World Into A Concrete Jungle. The Need For Land Is Increasing For Construction Purpose. Black Cotton Soil Is Belonging To One Of The Major Soil Deposits In India. The Nature Of The Black Soil Is Highly Expansive. Its Nature Varies According To Moisture Present In The Soil. It Will Expand In The Presence Of Water And It Will Contract In The Absence Of Water. Due To This Nature, It Becomes A Very Danger To Construct A Structure In This Type Of Soils. It May Leave Severe Damage To The Foundation And Superstructure. Many Stabilization Methods Are Improved To Overcome This Problem. This Experimental Study Was Done One Black Cotton Soil To Improve Its Characteristics By Adding Admixtures Like Quarry Dust And Lime. Various Properties Like Liquid Limit, Plastic Limit, Maximum Dry Density, Optimum Moisture Content And California Bearing Ratio Were Studied By Adding Admixtures To The Black Cotton Soil. Experimental Study Shows An Effective Increase In Properties Of Black Cotton Soil. With The Help Of Studying Different Literature Papers, It Was Found That Black Cotton Soil Which Is Replaced With Quarry Dust Above 10% Shows Some Increase In Properties. Whereas For Lime It Is In Between 2% To 6%.
Multi-Objective Flower Pollination Algorithm Based Controller for UPQC Including Hybrid Power Source
Authors:   Department of Electrical Engineering, Sharad Institute of Technology College of Engineering, Yadrav (Ichalkaranji), Kolhapur (Dist.), Maharashtra, India., Hussain* K. , Sridhar Puli ,   Department of Electrical and Electronics Engineering, TRR College of Engineering, Patancheru, Telangana, India.
Published: January 2020

This paper presents a new control method for Unified Power Quality Conditioner (UPQC) for effective management of the power-sharing and improvement of the quality of power. The voltage disturbances produced in the source side due to non-linear load conditions can be protected using the UPQC model. Flexible Alternating Current Transmission System (FACTS) devices were fed through a hybrid power generator that had the primary source, a Proton Exchange Membrane Fuel Cell (PEMFC) and a secondary source, a supercapacitor. In this paper, a multi-objective function (power factor, voltage sag, and the total harmonic distortion (THD)) with different control strategies have been considered. An optimization algorithm named Flower Pollination Algorithm (FPA) has used for optimizing Proportional Integral (PI) coefficients. A suitable fitness function has been developed for the FPA method and the simulation performed. The performance of the FPA method has been compared with three different algorithms, namely, particle swarm optimization algorithm (PSOA), Differential Evolution Algorithm (DEA), and Ant Colony Optimization Algorithm (ACOA). The result obtained shows the proposed FPA providing the best result compared to other methods.
Insights on Schemes towards Image Counterfeit Attacks & Their Effectiveness
Authors:   Assistant Professor, Department of Computer Science & Application, New Horizon College Kasturi Nagar, Bangalore, India., S* Shashikala , N Lokesh ,   Professor, Department of Computer Science & Engineering, Rajarajeshwari College of Engineering, Bangalore, India.
Published: January 2020

This paper reviews significant schemas pertaining to image forensics where the prime emphasize has been laid towards exploring the mechanisms which identify image counterfeit with higher accuracy. The study reviewed the prime contribution published in the last four years and also addressed the unsolved research problems which are needed to be objectified. The extraction of the research gap further extensively elaborated, which identify the gap needed to be filled up. The extensive review of literature also provides better insight into the design aspects associated with the conventional techniques which are defensive against counterfeit image attacks. The future direction of this investigational study aims to come up with a solution model which can address the accuracy and complexity problems which exist in the conventional system.
The Bankruptcy Problem of Tourist Enterprises in Russia and Abroad
Authors:   Minin Nizhny Novgorod State Pedagogical University, Evgenievna* Lebedeva Tatiana , Evgenievich Egorov Evgeny ,   Minin Nizhny Novgorod State Pedagogical University., Sergeevna Andryashina Natalia ,   Minin Nizhny Novgorod State Pedagogical University., Nikolaevna Zhulkova Yulia ,   Minin Nizhny Novgorod State Pedagogical University., Vladimirovna Ilyicheva Elena ,   Nizhny Novgorod State Engineering and Economic University.
Published: January 2020

The article considers the issue of bankruptcy of tourism enterprises in the world tourism centers and Russia. The topic of the article in modern conditions is relevant. It is important for the development of the tourism product and choosing tour operators on the market. It is particularly relevant in connection with the fact that, with a certain regularity, tour operators are shutting down. The authors see the purpose of the study in the formation of proposals to minimize negative consequences. They analyzed the theoretical foundations of bankruptcy and the existing bankruptcy process in Russia. The experience of Great Britain, USA, France, Germany and other countries was analyzed and, special emphasis is placed on solving this problem in Russia. The analysis, devoted to the study of the theoretical foundations of the tourism enterprises bankruptcy, allowed us to conclude that this is an economically justified phenomenon, the onset of which will happen sooner or later. The formulated conclusions will allow a new look at the bankruptcy problem of tour operators.
A Smart Cryptographic measure for Data Survivability in Unattended Wireless Sensor Networks
Authors:   Computer Science and Engineering Department, Research Scholar, Visvesvaraya Technological University, Belagavi, India., kumar* Hegde, Nischay , Linganagouda Kulkarni ,   Professor, Computer Science and Engineering Department, KLE Technological University, Hubballi, India
Published: January 2020

An Unattended Wireless Sensor Network (UWSN) wherein a sporadically visiting sink tries to collect data absorbed by the motes. This setup is most suitable in hostile environments where the collected valuable data becomes the target for a mobile adversary. Unattended sensors cannot instantly transmit collected data to some safe external entity. Though there is an intermittent visit by the sink, a powerful mobile adversary can easily compromise the valuable data collected by sensor nodes between the intervals. Therefore, the data needs to be preserved to be handed over to the sink in its next visit. This property of unattended WSN is called as Data Survivability. We propose a symmetric key cryptosystem that tackles sensor collected data erasure, modification, or disclosure as a support for data survivability in UWSNs. The proposed model has been designed using Linear Feedback Shift Registers (LFSRs) embodied with less power dissipation mechanism that operates on mask method. This is critical to any application running in unattended environments. We have compared our design with other standard works and have substantially proved the trustworthiness. Our work has been assessed using NIST test suite and found reliable.
Design a Digital Electronic Load Controller for Micro-Hydroelectric System Applications
Authors:   Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Ming* Chong Yee , Anyi Martin ,   Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia., Gurusamy Lakshmanan ,   Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia.
Published: January 2020

A micro-hydroelectric system is an important alternative for rural electrification, but its output voltage fluctuates over a small change of consumer loads. In order to protect the users and their appliances, the output voltage must be regulated to the nominal voltage of the appliances. For that purpose, this paper describes the concept of a simple and cost effective digital Electronic Load Controller (ELC). The formulation of proportional-integral-derivative (PID) control based ELC algorithm is presented, and the flow chart of the algorithm is derived. The hardware implementation of the ELC was established to verify the concept. By using a laboratory setup, the tuning effect of PID time interval on the voltage regulation was investigated and presented as there is no well documented information about the setting of that variable in literature. The experimental results showed that the ELC performed better with minimum value of time interval. The ELC was also tested with load variations, and the results showed that the output voltage was kept regulated at the nominal voltage despite the load variations. This has confirmed that the concept and methods used in the ELC design proposed in this paper can be considered for the voltage regulation of the micro-hydroelectric system.
A Classification of Lossless and Lossy Data Compression Schemes
Authors:   Department of Electrical Engineering, University Of Adelaide, Adelaide, Australia., Kho* Lee Chin , Ngu Sze Song ,   Department of Electrical Engineering, University Of Adelaide, Adelaide, Australia., Joseph Annie ,   Senior Lecturer, Department of Electronic, University Malaysia, Awang Mat Dayang Azra Binti ,   Senior Lecturer in Faculty of Engineering, University Malaysia., Kipli Kuryati ,   Department of Electrical and Electronics, Faculty of Engineering, UNIMAS Malaysia.
Published: January 2020

Data compression is a promising scheme to increase memory system capacity, performance and energy advantages. The compression performance could affect the overall network performance when compression scheme is implemented in a communication field. Many data compression schemes have been introduced. Most of other researchers choose very limited parameters to analyze the performance of the selected data compression scheme. This paper classifies the major data compression schemes according to nine different perspectives, such as homogeneity, purpose, accuracy, structuring of the data, repetition distance, structure sharing, number of passes, sampling frequency, and sample size ratio. Various data compression schemes are examined and classified according to the parameters mentioned above. The classification will provide researchers with the in-depth insight on the potential role of compression schemes in memory components and network performance of future extreme-scale systems.
Design of Completion Detectors in Asynchronous Communication System
Authors:   Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia,, Julai* Norhuzaimin , Suhaili Shamsiah ,   Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia,, Buswig Yonis M.Yonis ,   Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia,
Published: January 2020

In digital design, there are two types of design, synchronous design and asynchronous design. In synchronous design, global clock is one of the main system that consume a lot of power. The power in synchronous design is consumed by clock even if there is no data processing take place. The asynchronous design that depends on data is clockless and as far as the power is concerned, asynchronous design does not consume much power compared with synchronous design and this really make asynchronus design the preffered choice for low power consumption. Besides having low power consumption, there are many advantages of aynchronous design compared with synchronous design. This paper proposed new dual rail completion detector (CD), 3-6 CD, 2-7 CD and 1-4 CD for on-chip communication that are used widely in an asynchronous communication system. The design of CD is based on the principle of sum adder. The circuit is designed by using Altera Quartus II CAD tools, synthesis and implementation process is executed to check the syntax error of the design. The design proved to be successful by using asynchronous on-chip communication in the simulation.