bluuebunny/crossref_metadata_2025 huggingface dataset:
СОЦИАЛЬНО-ЭКОНОМИЧЕСКИЕ ИНТЕРЕСЫ СТОРОН В ГОСУДАРСТВЕННО-ЧАСТНОМ ПАРТНЕРСТВЕ В СФЕРЕ ОБРАЗОВАНИЯ: МЕТОДИЧЕСКИЕ РЕКОМЕНДАЦИИ ПО СОГЛАСОВАНИЮ
Authors: TULEIKО K.,
Published: November 2019

У дослідженні передбачається, що основою формування і розвиткувідносин в державно-приватне партнерство є інтереси партнерів, відздатності задоволення і якості узгодження яких залежить ухваленнярішення про реалізацію проекту та його ефективність. У статтіпредставлений аналіз соціально-економічних інтересів сторін вдержавно-приватне партнерство, на основі проведеного в 2019 роціанкетування. Також автор дає практичні рекомендації за погодженням ібалансуванню інтересів партнерів.

The study assumes that the basis of the formation and development ofrelations in a public-private partnership are the interests of partners, thedecision of the project and its effectiveness depend on the ability of satisfactionand the quality of coordination of which. The article presents an analysis of thesocio-economic interests of the parties in a public-private partnership, basedon a survey conducted in 2019. The author also gives practicalrecommendations on the coordination and balancing of the interests ofpartners.
Muskingum Yönteminin Sürtünme Katsayısına (n) Bağlı Performans Analizi
Authors: SARIGÖL Metin
Published: November 2019

Taşkın ötelenmesi, taşkın dalgasının bir kanal veya hazne
boyunca herhangi bir noktadaki debi değerlerinin zamana bağlı olarak
değişiminin hesaplanmasıdır. Taşkın kontrolü açısından taşkın öteleme
hesaplarının pek çok faydası bulunmakta olup, bunların en önemlisi, akarsuyun
belirli bir kesitteki taşkın büyüklükleri bilindiğinde, bu kesitin
kilometrelerce mansabındaki bir kesitteki taşkın hidrograflarının saatlerce
önceden tahmin edilebilmesi ve böylece can ve malın kurtarılması ve taşkın
zararlarının azaltılması için gerekli zamanın kazanılabilmesi ve sonuçta taşkın
zararlarının azaltılmasıdır. Bu çalışmada, ülkemizdeki 8 ayrı havzada yer alan
18 adet akım gözlem istasyonunun (AGİ) saatlik debi verileri kullanılarak
taşkın ötelenme çalışması yapılmıştır. İlk olarak taşkın tarihleri tespit
edilerek her bir AGİ’dan saatlik hidrograf değerleri elde edilmiş, bu veriler
ile, hidrolojik yöntemlerden Muskingum Yöntemi kullanılarak ötelenme hesapları
yapılmış ve elde edilen sonuçlar ölçülmüş değerlerle karşılaştırılmıştır. Bu
karşılaştırma yapılırken Ortalama Mutlak Hata (OMH), Hataların Ortalama
Karekökü (HOK) ve Belirlilik Katsayısı (R2) değerleri hesaplanmış,
Muskingum Yöntemi’nin sürtünme katsayısına göre performans değişimleri
incelenmiştir. Sonuçta, sürtünme katsayısı arttıkça OMH, HOK ve R2’nin genelde
değişmediği ve bu nedenle Muskingum Yönteminin performansının etkilenmediği
tespit edilmiştir.
Mengapa Perusahaan Anjak Piutang kurang berkembang di Indonesia? (Dilihat dengan analisis Risk profile, Good Governance, Earning dan Capital (RGEC))
Authors: Diansari Rani Eka , Adhivinna Vidya Vitta
Published: November 2019

Factoring Company is one of the financial institutions in Indonesia. Factoring Company is a company that serves to take over the receivables that occur in buying and selling transactions so as not to cause serious problems in the company's cash flow. Risk can be avoided very minimally and the company can greatly help avoid a problem related to its uncollectible trade through financial institutions with factoring concept (Aprianto, 2017). Based on the concept of factoring, actually the existence of the company factoring is very profitable for companies especially trading companies, but if looking at the data in Indonesia is still very little of the company's sustainability factoring, the evidence can be seen on the Indonesian stock exchange, with less than 100 companies factoring listed on the stock exchanges. It shows that in Indonesia the company factoring is very less developed.With these conditions, the author is interested to see the cause of the company factoring is not developed well from the analysis of risk profile, good governance, earning and Capitalnya, although RGEC is prevalent in banking industry but because Consideration of the activities of the company to be receivables some have the same characteristics as banking then the authors tried to analyze with RGEC analysis by the detailed risk profile not only based on the ratio of LDR and NPL Were. The object in this study was the factoring company listed on the Indonesia Stock exchange in 2017 and examined by a qualitative method of descriptive. Results of the research can be concluded there are several factors that cause the company to factor less developed in Indonesia including the inherent risk of credit, human resources, regulation, and public trust because the factoring isn't famous.
DANA BANTUAN KEUANGAN PARTAI POLITIK DI SURAKARTA, SUDAHKAH TRANSPARAN DAN AKUNTABEL?
Authors: Setyaningsih Titik , Asrihapsari Andi , Setiawan Doddy
Published: November 2019

This study aims to explore transparency and accountability of political parties in Surakarta. This study uses a qualitative method. Data were gathered through focus group discussion. The findings show that political parties do not understand financial report of this entity’s financial assistance under PSAK 45 and they use simple bookkeeping. Political parties’s financial assistance is not audited by external auditor and there are some audit findings. The transparency principle is not achieved because financial report only for internal parties. This study raises one interesting result that political parties need the role of accountant to make their reports more accountable.
Apatite of Alkaline Rocks of the Vishnevogorsky Complex,
South Urals
Authors: Popov V.A.
Published: November 2019

Apatite Ca5(PO4)3(F,Cl,OH) is a widespread accessory mineral of alkaline rocks of the Vishnevye Mountains in the Urals. There are small bodies of carbonatites and micaceous rocks, where apatite is a rock-forming mineral. The rocks mostly contain fuorapatite and, locally, apatite-(CaOH). The Cl-bearing apatite is rare. Apatite is enriched in Na2O (up to 1.77 wt. %), REE2O3 (up to 6.98 wt. %) and SrO (up to 3.63 wt. %), locally, P substitutes by S (up to 2.38 wt. % SO3).
Aeschynite Group Minerals from Vishnevye Mountains
(South Urals)
Authors: Popova V.I. , Popov V.A. , Kasatkin A.V. , Kuznetsov A.M.
Published: November 2019

The crystals morphology, mineral assemblages and chemical composition of aeschynite group minerals from the Vishnevye Mountains (South Urals, Russia) are presented. Some veins of syenitic pegmatites host aeschynite-(Ce) and «thoroaeschynite». The calcite-aegirine-feldspar pegmatites and quartz-arfvedsonite veins contain nioboaeschynite-(Ce) and «alumoaeschynite». Aeschynite-(Y) and nioboaeschynite-(Y) are found in annite-feldspar aggregates in assemblage with REE silicates and carbonates. The fnd of nioboaeschynite-(Y) is frst in Russia.
Mineralogy, Geochemistry and Genesis of the Luc Yen Noble Spinel Deposit, Vietnam
Authors: Kuksa K.A. , Sokolov P.B. , Marakhovskaya O.Yu. , Gussias G.A. , Brownscombe W.
Published: November 2019

The paper presents the detailed mineralogical and petrographic study of spinel-bearing marbles at the Luc Yen deposit, North Vietnam. The LA-ICP-MS analysis of 74 spinel grains, combined with mineralogical data, allows us to discriminate them into fve types according to mineral assemblages and trace element geochemistry. Forty seven minerals are identifed as inclusions in spinel grains and 38 minerals are described at Luc Yen deposit for the frst time including leonardsenite, tintisite, manasseite, chalcoalumite, cobaltite and spherocobaltite. The mineral assemblages, trace element pattern, and specifc mineral inclusions indicate the involvement of hydrothermal fuids related to magma intrusions in the formation of, at least, two of fve spinel types at the deposit.
STRUCTURE AND VALUATION OF INTANGIBLE ASSETS AT DIFFERENT LEVELS OF STANDARDIZATION
Authors: YASYSHENA Valentyna
Published: November 2019

Introduction. Today, due to the large number of types of intangible assets that are presented in the valuation and accounting standards of different levels, it is difficult to determine their objective assessments.

Purpose. The article is devoted to the research and systematization of IA objects, presented in the international, European and national standards of expert assessment and accounting, with the aim to find the ways of domestic standards improvement, as well as management of IA at the enterprise.

Results. The structure of the IA objects, which are described in the International Standard for Assessments 210 “Intangible Assets”, the European Standards for Evaluation of the TEGoVA, the Professional Standards for the Evaluation of RICS, the National Standard No. 4 “Appraisal of Intellectual Property Rights”, the International Accounting Standard 38, Intangible Assets, and the Standards of Accounting 8 “Intangible Assets”, is analyzed. It is established that the objects of IA are shown in the international and national accounting standards, which are reflected in the accounting and financial statements of the entity, but they do not fully cover the market value of the enterprise. The list of objects of IA, which is not given in P (C) BO 8, is marked out and described, and accordingly they are not reflected in the financial statements of the enterprise. The article proposes a list of IA, which was formed on the basis of study of the nternational, European and national standards of expert assessment and can be taken into account by the enterprise for the estimation of business value and needs of IAmanagement.

Conclusions. It is noted that the assessment of IA is not a sufficiently developed direction of professional property valuation; therefore, there is a need to mprove the National Standard 4 “Appraisal of Intellectual Property Rights” from its approximation to international practice. It has been determined that a standard for the assessment of IA, which will regulate not only the evaluation of intellectual property objects, but also other IA objects, which will be used in international practice, taking into account contemporary economic development, will be developed. The results of this article outlined the directions of further research in the area of improving the methodology of IA assessment.
Rupture Prediction of Abdominal Aortic Aneurysm using Matlab, LabVIEW and Python in CT images
Authors:   Research Scholar, Department of Biomedical Engineering, Bharath University, Chennai, India., Anandh* S. , Vasuki Dr. R. ,   Professor and Head, Department of Biomedical Engineering, BharathUniversity, Chennai, India., Baradieis Dr. Raid Al ,   Associate Professor, Department of Medical Lab, Majmaah University, Kingdom of Saudi Arabia.
Published: November 2019

Abdominal Aortic Aneurysm (AAA) is a substantial enlargement of the aorta that weakens the blood vessel wall leads to atherosclerotic disease. Aneurysms are dangerous because when it rupture causing hemorrhage. This leads to insufficient blood flow from the aorta to the different organs of the human body. Based on the extracted features from the AAA and the demographic data of the patient, the clinical management team will decide the optimal treatment procedure. The screening of AAA is done by ultrasound scan to know the type of the aneurysm present. Diameter with 05.05 cm or more, it should be viewed seriously. The AAA images were segmented using connected components labeling technique. Early detection of aneurysm can be repaired with proper treatment so that it does not rupture. The CT images of AAA were read and denoisedto preserve the edges using image processing software. Based on the histogram of the filtered image the AAA area was identified and threshold the image to view clearly the dilated part. The area, major axis length, minor axis length of the AAA images were calculated to understand the flow dynamics and to predict the rupture of the AAA wall using MATLAB, LabVIEW and python program.
Machining Process Parameters on Green Composite Material
Authors:   Associate prof, Sri Sairam Engineering College, Chennai., Raj.V Ravi , Ramnath.B Vijaya ,   prof, Sri Sairam Engineering College, Chennai., E Naveen. ,   Asst prof, Sri Sairam Engineering College, Chennai., N Ramanan. ,   Sr Enginner Synce Engineering Service, Chennai
Published: November 2019

In this work, the Abrasive water jet machining process on a natural fiber composite material has been discussed . the material as in nature fibere material. The natural fiber material has in a low weight material. In the material used in a light weight application. In the material mostly used in a automobile structural application. In the material not used in load condition application. In the material used in a unload condition material. The material was prepared by hand layup technique. The material was discussed about the machining character station of the process. For this process, the following parameters - standoff distance, abrasive flow rate, water pressure were determined. The output parameters considered are Material Remove rate and Surface roughness. in this condition the material removal rate will be increased and the surface roughness also increased. In the above condition was been solve the problem. The DOE was done by Mine tab software. Finally, the optimization result of the process has been conculded.
“Voting System using Multichain Blockchain and Fingerprint Verification”
Authors:   M.E.(Computer) Student at Department of Computer Engineering, RMD Sinhgad School of Engineering, Warje-58, Pune, Sharma* Miss. Komal Kundan , Raghatwan Prof. Jyoti ,   at Department of Computer Engineering, RMD Sinhgad School of Engineering, Warje-58, Pune, Patole Prof. Mrunalinee ,   Department of Computer Engineering, RMD Sinhgad School of Engineering, Warje-58, Pune, Lomte Prof. Vina M. ,   Department of Computer Engineering, RMD Sinhgad School of Engineering, Warje-58, Pune
Published: November 2019

Nowadays, crypto currency has become a trending theme within the software package globe. Crypto currency may be a digital quality that’s meant to operate as a dealings medium that utilizes sturdy cryptography to secure asset exchange and make sure plus transfer. Crypto currency is in addition spoken as digital suburbanised cash. Block chain stores knowledge concerning dealings which will be accustomed assess transaction trait. This voting system deals with multi chain block chain technology. We can define block chain as a digital transaction which is used to record financial transactions also as totally different transactions. As a result of the knowledge keep within the block chain isn’t related to personal identifiable information, it’s such a fanonymity attribute. Blockchain allows dealings and verification to be clear. The options of this block chain technology are useful in powerful voting system,robustness, obscurity and transparency. The electoral system is our country’s core. Veri- fication of fingerprints employed in this theme to authenticate identity of electors.
Column Experiments for Removal of Copper from Wastewater using Activated Carbon Coated with Tio2 Nanoparticles
Authors:   Formerly Research Scholar, B.M.S. College of Engineering, Bangalore-560 019 Presently, Senior Environmental Consultant, Harsha* K. R. Sree , Udayasimha L ,   Professor, B.M.S. College of Engineering, Bangalore, Dharmaparkash  ,   Professor, B.M.S. College of Engineering, Bangalore, Rangappa Dinesh ,   Dean Centre for Nanoscience VTU Regional Campus muddenahalli, Suchetha  ,   Environmental Engineer,Bangalore
Published: November 2019

The study reports application of activated carbon coated with TIO2 nanoparticles to remove Copper from wastewater. The TiO2 nanoparticles are synthesized using sol-gel process and are coated on Granular Activated Carbon (GAC) using Bisphenol resin as adhesive. The synthesized composite material is characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Column experiments are conducted to investigate removal of copper from industrial effluent by varying flow, height and mass of adsorbent. Results showed decrease in the heavy metal and sorption is well explained by Thomas model.
VTEAM Model Based In-Memory Computation using Memristors
Authors:   Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India, C* Chinmay , Kenchannavar Mahantesh S ,   Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India., A Tejaswini ,   Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India., B.S. Dr. Kariyappa ,   Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India.
Published: November 2019

The recent applications in the computing field deals with huge data processing operations, which involves a lot of data transfer from the memory to processing unit and vice versa. If these data transfers between the CPU and memory are reduced, a lot of time could be saved along with advantage of getting desirable outputs at a lower latency. One of the ways to achieve this is to adopt In-memory computational techniques, where most of the computations happen inside memory itself. Memristive crossbar architecture is a memory architecture which makes use of memristors as memory cells to store data with some added computational capabilities. The need for power efficient computing in the present days motivates the search for new nonvolatile universal memories like memristors. In this paper, we present an optimal way of implementing basic ALU operations in the memristive memory block. A detailed description for simulating this is given, which includes the creation of memristor symbol, choosing a suitable memristive logic to implement basic digital logics, creation of memory crossbar and the way to realize basic ALU operations.
A Straight Forward Solution for Visually Impaired using Smart Assistive Navigation and Accessibility System
Authors:   Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, India., Nalini* Dr. M. , Gayathiri R. ,   Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College, Chennai, India.
Published: November 2019

This paper presents a Smart Assistive solution for the navigation and accessibility needs of visually impaired people. Using advances in inexpensive location mapping through GPS and navigation through various open source mapping platforms, real time assistive navigation is possible for visually impaired people. This paper also presents a solution for sensing the surroundings through a naive technology called ‘Bluetooth Low Energy’ to relay short messages about the surroundings.
A Hybrid Forecasting Model for Option Price Prediction using Machine Learning Technique
Authors:   Department of Applied Mathematics, MANIT, Bhopal, MP, India., Shrivastava* Payal , Verma Chandan Kumar ,   Department of Applied Mathematics, MANIT, Bhopal, MP, India.
Published: November 2019

A hybrid model is presented in this paper that is aiming to forecast the option prices that are analyzed in the data set of different banks. A new move is proposed by this paper that is forecasting the option price with the use of ANN model which is optimizing the hybrid swarm optimization. The data set of the NSE India banking sector has been utilized for the calculation of an effective algorithm for forecasting the option price with the help of this ANN model. For forecasting the option price, the methods which are used in this paper are SOM (self organization map), RBF (Radial Basis Function) and the Hybrid Swarm Optimization system. The hybrid swarm intelligence algorithm reduces the variation of prices and proceeds the data for the prediction and used cascaded neural network-based classifier for the purification of data. Two results are combined so that the option price prediction can be achieved. A comprehensive description of the option price is offered with a combined forecasting model that is developing the accuracy of the option price forecasting, also the reflection of the stock market trends are seen in this investigation and the model also has the capacity to offer advices to the investors that are connected with the productive speculation.
5g Standardization Initiatives towards 5g Wireless Access Technology
Authors:   Assistant Professor, Department of CSE, Annamacharya Institute of Technology and Sciences, Rajampet, India, Ayyavaraiah* Monelli
Published: November 2019

The best largely favoured program architecture in IoT is the Service Oriented Architecture (SOA), which aims to deliver a loosely paired devices to utilize the usage as well as reuse of IoT companies at the middle-ware level, to decrease device combination issues. What is the most unique attribute of this paper, compared to various other study and also tutorial jobs, is the in depth presentation of the interior programs and also mechanisms of the system protocols based on IPv6. This paper gives 5G standardization projects in the direction of 5G cordless accessibility innovation.
Ethnographic Researches on Irrigated Agriculture and Collective Land Cultivation of the Uzbek People (In the Example of 20-30s of XXth Century)
Authors:   Professor, Doctor of Historical Sciences, The Department of the History and Source Studies of Central Asian People, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan., Khudoyberdiyevich* Doniyorov Alisher , Ahmadjon ugli Odilov Bobir ,   PhD student, The Department of the History and Source Studies of Central Asian People, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan.
Published: November 2019

The article describes the relationship of large-scale economic traditions of the Uzbek people to irrigated agriculture and collective farming. Ethnographic researches which were published in the 1920s and 1930s are analyzed in the aspect of historiography. The relatively low rainfall climate of Uzbekistan has led to the widespread use of irrigated cropland through sophisticated irrigation systems. Folk traditions on irrigation of the foothills and plains of the region provided rich experience in historical development. Therefore, this article describes how these processes attracted many researchers from the Soviet Union. In addition, research on collectivization policies implemented by the Soviet Union during this period was based on the experience of the local population.
Real-Time Hindrance Detection Prototype in Internal Atmosphere Expending Ultrasonic Sensors
Authors:   Electronics and Communication Engineering department, AVN Institute of Engineering and Technology, Hyderabad,India, Shaik* Mohammad Khaja , Kumar Phaneendra ,   Ch. Electronics and Communication Engineering department. Research Scholar, Career Point University, Kota,India
Published: November 2019

Currently, ultrasonic sensors are extensively used in voluminous applications, for instance: robotics solicitations, unmanned vehicles, medical presentations, etc. In which remoteness measurement of an object is one of the most important issues. This can be achieved using a variety of sensors: Optical, Radar, IR, Ultrasonic, etc. Measuring distance using ultrasonic sensors might be the cheapest and its reliability is probably acceptable. In this paper we talk about the employments of these sensors to plan a convenient gadget helping the outwardly debilitated stay away from obstructions on their ways by sounds.
Method for Drying Fruits of Rose Hips
Authors:   doctor of technical sciences, professor Tashkent State Technical University named after Islam Karimov. 100095, str.2 University, Tashkent, Uzbekistan, Esirgapovich* Safarov Jasur , Abduvaxitovna Sultanova Shahnoza ,   PhD, assistant professor Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan, Toshxodjaevich Dadayev Gani ,   PhD Tashkent State Technical University named after Islam Karimov. 100095, str.2 University, Tashkent, Uzbekistan, Doston Samandarov ,   Ishmuxammat ugli assistant, scientific applicant Tashkent State Technical University named after Islam Karimov. 100095, str.2 University, Tashkent, Uzbekistan
Published: November 2019

The article discusses a new vacuum infrared equipment for drying fruits of rose hips with preservation of ascorbic acid. We have studied the drying process of rose hips in various ways (solar, convective and vacuum IR drying), to determine the rational version of the drying process to check the preservation of the vitamin composition of the fruit, mainly ascorbic acid. Special plants designed and manufactured for the production of dry powders from rose hips using low-vacuum and low-temperature infrared drying have been developed and manufactured. The vacuum drying unit consists of: a vacuum chamber, an electrical system for IR irradiation and instrumentation. During the drying process, the operating temperature was maintained at 65 ° C, the pressure inside the chamber was -0.8 atm and the drying time was 4 hours. With these parameters, the dogrose is dried effectively and vitamins are well preserved in its composition. In appearance, you can determine that the color and taste have not changed. Laboratory experiments were also carried out aimed at chopping and separating rose hips. Continue drying, setting the operating parameters depending on the parameters of the object. After setting the parameters of drying and its implementation, wild fruits rose hips is dehydrated to a moisture content of 12%, while the preservation of vitamins is provided in the fruit composition. As a result of an experimental study of the influence of vibration on the drying process, it has been established that the efficiency of dehydration increases to 4-5% under continuous heating conditions – at a certain frequency and amplitude. It is shown that the preservation of ascorbic acid in the composition of the pulp of the fruits rose hips with vacuum infrared drying is up to 0.77 mg%. The optimum thickness of the product layer is about 1-1.5 cm, the optimal wavelength is 3 microns, while the dehydration time of the products is an acceptable value, and the temperature of the fruits does not exceed 65 °C, the vacuum is -0.8 atm.
Low Resolution Face Recognition System Performance for Basic Feature Space Methods with Various Illumination Normalization Techniques
Authors:   Research Scholar, Kalinga University, Naya Raipur, Chhattisgarh, India, Kapse* Manish N , Kumar Sunil ,   Professor and Head, Department of E and TC, Kalinga University, Naya Raipur, Chhattisgarh, India
Published: November 2019

The Face recognition research identified with the field of automated surveillance systems in real life application has pulled in more consideration today with extensive use of vision cameras in biometrics and surveillance applications, globally. The small size images or poor quality images are generally Low Resolution images. Authenticating faces, with variation in pose, illumination, disguise and more, from such Low-resolution images, is the main purpose of Low Resolution Face Recognition (LR FR) system. We have assessed the LR FR system for various basic feature space techniques like PCA, LDA and Fisherface. Different illumination normalization techniques are applied on the cropped Yale face database prior to feature extraction and identification. In our work the low-resolution images, of size 32x32, are the down-sampled versions high-resolution facial images from cropped Yale face database. Our experiment demonstrates the encouraging performance, with recognition accuracy as 97.43%, on Low Resolution, Low quality face images.
Cluster as a form of Resort Development: Organizational and Managerial Structure
Authors:   Altai state University, Barnaul, Russian Federation, Dunets* Aleksandr , Penkova Angelina ,   Southwest State University, Kursk, Russian Federation, Potekhina Elena ,   Russian State Social University, Russian Federation, Gribkova Olga ,   Moscow state University of psychology and education, Russian Federation, Nikolaeva Alla ,   Moscow state University of psychology and education, Russian Federation, Smirnov Denis ,   K. G. Razumovsky Moscow State University of technologies and management (the First Cossack University) (RAZUMOVSKY MSUTM (FСU)), Russian Federation
Published: November 2019

The article considers the prospect of forming a tourism cluster by the example of the existing resort Belokurikha. This is due to the historical background and concentration of tourist facilities, as well as the experience of joint project implementation by the cluster members. The authors identify five functional complexes in the cluster structure and describe their characteristics. The article suggests a model of the tourist cluster management structure along with the stages of its formation in the region.
Prediction of Propeller Open Water Characteristics for High Speed Boat by CFD Method
Authors:   Hochiminh city University of Technology, Vietnam National University, Hochiminh city, Vietnam., Le * Tat-Hien , Quoc Y Nguyen ,   Hochiminh city University of Technology, Vietnam National University, Hochiminh city, Vietnam., Hoa Nguyen Thi Ngọc ,   Hochiminh city University of Transport, Hochiminh city, Vietnam., Hai Ha Nguyen Thi ,   Vietnam Maritime University, Hai Phong, Vietnam., Bich Vu Ngoc ,   Hochiminh city University of Transport, Hochiminh city, Vietnam.
Published: November 2019

Nowadays with the development of computational resources, calculating the open water characteristics of the propeller using Computational Fluid Dynamics (CFD) has been used widely at the initial design stage because of relatively accurate result, time and cost saving, in comparison with experimental approach. This paper presents the results of computational evaluation of propeller open water characteristics for high speed boat, based on steady RANSE flow model with rotating reference frame approach. The effects of mesh density, mesh generation are analyzed in order to improve obtained numerical results. The well-known Gawn propeller series, that is often used for high speed vessel is used to verify and validate the accuracy of case studies. In this study, the authors use the commercial solver Star CCM+ by SIEMENS.
An Energy Aware Strategy for Distributed Cache Discovery with Stale Page Reduction
Authors:   Research Scholar, JNTUH- Hyderabad, Telangana, India, Rani* Y.J.Sudha , Seetha Dr. M. ,   HOD, Professor, G Narayanamma Institute of Technology and Science Hyderabad, Telangana, India
Published: November 2019

With the immense growth in the field of mobile communication, a good number of complex applications are now available for the mobile devices. The complex applications are made available to comply with the client demand for the higher performing and higher capable applications, which can be accessible from any locations and any devices. Thus, the application developers have attempted to make highly scaled applications to be deployed on mobile communication devices. The larger applications have higher demand for memory and processing capabilities. Thus, making the similar infrastructure available on the mobile computing environments was always a challenge. Nonetheless, with the availability of distributed computing architecture, the bottleneck for the computing capabilities for these complex applications can be handled. Nonetheless, the memory capabilities for the applications must be addressed more sophisticated manner using distribution of the memory and sharing of the data. Henceforth, distributed caching came under existence.A conveyed cache is an augmentation of the customary idea of cache utilized in a solitary district. A conveyed cache may traverse various servers with the goal that it can develop in size and in value-based limit. It is for the most part used to store application information living in database and web session information.One of the most popular technique for making the cache available is to perform cache discovery operations in the network. A number of parallel research attempts are made to identify the accurate place in the network to create or build the distributed cache network.However, the most of the parallel research attempts are criticised for considering single dimensions for cache discovery as few of the work focuses on distance, few of the work focuses on density and some of the works focuses on page replacement policies applicable on mobile computing environments as MANETs or WSN. Henceforth, the demand of the research is to consider multiple parameters for cache discovery and build a framework to automatically define the cache distribution. Hence, this work proposes a novel architecture or framework to detect the cache distribution based on distance, stale page reduction mechanism and finally the energy optimization. The outcome of the research is to automate the recommendation of cache discovery and increase the network life time by 90% compared to the existing methods for cache discovery. In order to handle the complex processing of the proposed algorithms, this work deploys machine learning methods to reduce the time complexity.
Heat Recovery Ventilation for Energy-Efficient Buildings: Design, Operation and Maintenance
Authors:   Vellore Institute of Technology, Vellore, India., D* Ben Ghida
Published: November 2019

Since the 1990s, many efforts have been intensified to fight global warming and energy crisis. Considering that the building sector is responsible for about 40% of the EU energy use and 36% of CO2 emissions, many sustainable concepts have been revived from the past, a number of new innovative technologies have been invented, and new construction standards and policies have been implemented. Sustainable architecture offers tailor-made solutions to minimize the negative environmental impacts of buildings without compromising its users' comfort. According to studies, humans spend about 90% of their live-time indoors; indoor air quality has a major effect on human health. Hence, bringing fresh air into all habitable areas without letting the warm/cool air escape has become a priority. If properly operated and maintained, heat recovery ventilation (VHR) in energy-efficient buildings leads to an increased filtration and removal of micropollutants, and an overall improvement of the indoor air quality, thus generating more comfort and less health-related problems. A systematic case study in Italy is used in this research providing evidences of the effectiveness of mechanical ventilation heat recovery systems. This paper discusses a case with a combination of poor design, operation and maintenance to answer the questions of: what are the concerns about potential failures that are associated with these systems; and are there any cons in the technical aspects of a mechanical heat recovery ventilation system?
Assessment of the IT Business Competitiveness
Authors:   Belgorod state technological University named after V.G. Shukhov, Belgorod, Russia., Nikitina* Elena Alexsandrovna , Shchetinina Irina Vyacheslavovna ,   Voronezh State Technical University, Voronezh, Russia.
Published: November 2019

The most modern, the so-called new information technology (IT) holds a special place among the applied technologies. The existing information technology can be formally divided into two large interconnected classes: program mathematical tools for informatization meant for designing the modern information technology and applied information technology that provides decision-making and support.
Vibration Bearing Diagnostic System Machine Learning
Authors:   Institute of Radio Engineering Systems and Control, Southern Federal University., Sinutin* Sergey , Lebedev* Sergey ,   Design Center “Design of integrate microelectronic system”, National Research University of Electronic Technology (MIET), Moscow, Russian Federation., Sinutin Evgeniy ,   Scientific and Technical Center "Technocentre" of Southern Federal University.
Published: November 2019

The article shows the possibility of using a mathematical model of a bearing with various types of defects for machine learning of the vibration diagnostic system. A plane geometric model of a radial bearing with two degree of freedom is considered in detail, a system of differential equations describing the nature of the motion of moving masses in the mechanical bearing system is presented. A formula is obtained for calculating the total kinematic disturbance, the calculation of which is associated with significant computational costs. The article proposes an alternative calculation method, namely, modeling the profile of kinematic disturbances in the time domain, which will minimize computational costs. The adequacy of the proposed method is confirmed by calculations in Matlab and comparison with experimental data. The development of equipment maintenance systems for the actual technical condition is relevant as in the case of operation of facilities of increased danger Gerike, and in the case of the operation of expensive equipment Pisarev and Vaganov, where the diagnosis with disassembling the machine leads to large financial losses. Diagnostics of equipment by vibration parameters allows fixing defects in the early stages during normal operation without the need to disassemble the units and take them out of service.
Axial Impact Crushing Performance of Bi-tubular Structures with Stiffeners
Authors:   Department of Mechanical Engineering, CMR Technical Campus, Hyderabad, India., kumar* A Praveen , Sankar L. Ponraj ,   Department of Civil Engineering, CMR Institute of Technology, Hyderabad, India., Maneiah D. ,   Department of Mechanical Engineering, CMR Technical Campus, Hyderabad, India., Naveen M. ,   Department of Mechanical Engineering, CMR Technical Campus, Hyderabad, India.
Published: November 2019

Thin-walled tube shaped components have been expansively utilized as an impact energy dissipating devices in modern vehicles in order to decrease fatalities and vehicle damage during accidents. The present article investigates the axial crushing performance of bi-tubular structures of various configurations. Nonlinear impact simulations were performed on the proposed bi-tubular structure using finite element ABAQUS/CAE explicit code. From the outcomes attained, the Energy Absorption Capability (EAC) of bi-tubular structures with stiffeners were compared and it confirmed that bi-tubular structures have more potential than that of traditional simple geometry tubes. Furthermore, bi-tubular structure of circle section enclosed with square type section were recommended as significant one for superior EAC. This kind of bi-tubular structures was found to be proficient energy absorbing elements in vehicles to improve the crashworthiness performance.
Estimation of Level of Liver Damage Due to Cancer using Deep Convolutional Neural Network in CT images
Authors:   Research Scholar, Department Electronics &Telecommunication Engineering. Sanjeevan Engineering Technology & Institute ,Panhala .Shivaji University Kolhapur, India, Vanmore* Mr. Swapnil V. , Chougule Dr. S. R. ,   Department Electronics &Telecommunication Engineering, Kolhapur Institute of Technology College of Engineering Kolhapur,India
Published: November 2019

The lesion size estimation is essential need while diagnosing the liver cancer and treatment scenario. The lesion segmentation suing conventional methods such as region growing, threshold based segmentation provide limited performance due to variations in light intensity distribution throughout the image. The deep learning approach used in this paper consist of input dataset of liver abdominal images along with labelled set combination of variety of liver regions and lesion structures. The care has been taken while constructing the dataset such that, the lesion due to cancer in liver of particular image should have at least one matching structure should be present in one of the labelled images. The 3 fold validation is done to evaluate the performance in which total 140 images of liver cancer are used for training, 30 images for validation and 30 images for testing. The result shows 98.5% accuracy for lesion classification. The area of lesion is compared to total area of liver in terms of pixels to estimate the total area occupied by the lesion and amount of liver damage.
IoT based Smart Farming using Cloud Computing and Machine Learning
Authors:   CSE department, K G Reddy College of Engg & Tech, Hyderabad, India., Ramakrishna* C. , Venkateshwarlu B. ,   CSE department, K G Reddy College of Engg & Tech, Hyderabad, India., Srinivas Dr. J. ,   CSE department, K G Reddy College of Engg & Tech, Hyderabad, India., Srinivas Dr.S. ,   CSE department, K G Reddy College of Engg & Tech, Hyderabad, India.
Published: November 2019

Internet of Things (IoT) is a most emerging and advanced technology that works on computing and communications. The survival of human beings in the world depends on the agricultural sector. The traditional agriculture methods are to be replaced with smart technologies. In order to minimize the cost, maintenance and monitoring the farms the technologies are used. The smart sensors sense the parameters like temperature, humidity, water level, soil nutrition’s and PH levels are monitored. In this paper IoT methods are used for smart farming
Effects of Combined Salt-Damage Resistant Agent on the Shrinkage, Chloride Penetration and Chemical Erosion of Mortar
Authors:   Research professor, Department of Architectural Engineering, Dankook University, Suji-Gu, Yongin, Republic of Korea., Kim Hakyoung
Published: November 2019

Reinforced concrete structures located on coastal landfill frequently adjoin sea-water environment, and are exposed to sea water and humid environment during construction. Particularly, in the case of large-scale structures like dams, their drying shrinkage is accompanied by fatal cracking, and thus chlorine ion penetration becomes easier. The present study develops a salt damage-resistant agent (SRA) to which aluminum salts, oligomer condensate, and amino alcohol derivatives with the alkyl group are applied as binding inducers. SRA performs the roles of reducing the drying shrinkage of cement composites, binding chlorine ions, and preventing erosion by sulfate ions. This study tests and evaluates its resistance to degradation factors that may occur to structures constructed on coastal landfill and so on. As a result of evaluating shrinkage cracking properties by performing the restrained shrinkage cracking test, SRC showed the shrinkage reduction compared with BSC. As for the performance of resistance to chlorine ion and the chemical sulfate erosion rate, SRC showed the highest resistance performance, followed by BSC and OPC, regardless of the concentration of aqueous solutions for immersion. In addition, as for the rate of mortar weight change by sulfate erosion, the SRA-intermixed SRC mixture showed a weight reduction rate at the level of 1/3 of BSC and 1/6 of OPC, respectively.
Stability, Bifurcation, Chaos : Discrete Prey Predator Model with Step Size
Authors:   Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur – 635601, Vellore, Tamil Nadu, India., Selvam* A. George Maria , Janagaraj R. ,   Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur – 635601, Vellore, Tamil Nadu, India., Jacintha Mary ,   Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur – 635601, Vellore, Tamil Nadu, India.
Published: November 2019

In this work titled Stability, Bifurcation, Chaos: Discrete prey predator model with step size, by Forward Euler Scheme method the discrete form is obtained. Equilibrium states are calculated and the stability of the equilibrium states and dynamical nature of the model are examined in the closed first quadrant R2  with the help of variation matrix. It is observed that the system is sensitive to the initial conditions and also to parameter values. The dynamical nature of the model is investigated with the assistance of Lyapunov Exponent, bifurcation diagrams, phase portraits and chaotic behavior of the system is identified. Numerical simulations validate the theoretical observations.
Simple IoT simulation
Authors:   ECE,Gokaraju Rangaraju Institute of engineering and technology,Hyderabad,India,, Vishnubhatla* Arvind
Published: November 2019

While analyzing iot projects it is very expensive to buy a lot of sensors , corresponding processor boards, power supplies etc. Moreover the entire process is to be replicated to cater to large topologies. The whole experiment is to be planned at a large scale before we can actually start to see analytics working. At a smaller scale this can be implemented as a simulation program in linux where the sensor data is created using a random number generator and scaled appropriately for each type of sensor to mimic representative data. This is them encrypted before sending it over the network to the edge nodes. At the server a socket stream now continuously awaits sensor data Here the required sensor data is retrieved and decrypted to give true time series data. This time series is now given to an analytics engine which calculates the trends and cyclicity and is used to train a neural network. The anomalies so found are properly deciphered. The multiplicity of the nodes can be characterized by having several client programs running in separate terminals. A simple client server architecture is thus able to simulate a large iot infrastructure and is able to perform analytics on a scaled model
Design of Manure Spreader Machine for agricultural farm field
Authors:   Mechanical Engineering, R.M.K Engineering College, Kavaraipettai, Chennai, India., K Sengottaian , N Mohanrajhu ,   Mechanical Engineering, R.M.K Engineering College, Kavaraipettai, Chennai, India., S* Palani ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai, India.
Published: November 2019

The main aim of this project is to reduce the manual efforts of farmers in spreading manure or bio - fertilizers and provide the most convenient and cost-effective way of spreading manure on farm fields. Cow dung is vital for the fertilization of the farm land. So, to do all this there is a hectic process. Organic manure is an eco friendly bio fertilizer used for more polluted new era. The appropriate use of manure for landing is necessary for avoiding land pollution, the surface of the water as well as avoids the defeat of ammonia in addition to all another nutrients through manure. Organic farming methods are appropriate and adoptable for many types of land in several parts of India. Use of manpower for application of organic materials is uneconomical due to high labour cost. Thus, it attracts wide attention in various parts of world. This not only reduces the cost but also protects the environment and health of farmers.
Artificial Intelligence Enabled In-Video Advertising: Infiltrating The Fashion Industry
Authors:   Research Scolar, Amity School of Business, Amity University, Noida, India., Thareja* Uday , Jain Dr Ruchi ,   Associate Professor , Amity School of Business, Amity University , Noida, India
Published: November 2019

This paper focuses on the enormous impact of Artificial Intelligence technology for enabling the usage of In-Video Advertising as a part of the content marketing strategy for fashion brands. Every brand wants to reach consumers when they are prone to get influenced. However, as the consumers are spoilt for choices and the digital mediums are creating unique customer journeys with an individualistic approach. Hence, there exists a requirement of more engaging advertising approach, to catch the attention of the consumer and to enable discovery of brands at high moments of desire. Since this paper focuses on In-Video Advertising & Artificial Intelligence, thus an understanding of the building blocks of In-Video advertising calls to delve deeper in Artificial Intelligence and content marketing strategy. This paper discusses a unique opportunity for Fashion brands to use In-Video Advertising as a disruptive, efficient and engaging tool to reach consumers when they are in the best state to be influenced. This novel advertising option can benefit marketers in the fashion industry and can generate significant revenues.