bluuebunny/crossref_metadata_2025 huggingface dataset:
Solving Problems with Smooth Sequences that are Subject to Local Restrictions
Authors:   Student, Private Educational Institution Liceum №1 «Sputnik», Samara, Russia., Egor Glukhov
Published: November 2019

This article discusses the options that arise when solving problems with smooth sequences that are subject to local restrictions. It also continues the cycle of work on the study of smooth sequences and supplements the literature in the field of the study of this arithmetic property. The relevance of the current research is that the smooth sequences simulate the motion of the bodies taking into account the resistance of the medium. The methodology is in solving problems and proving theorems by calculating the formulas and building the graphs and providing the comments on them. It should be noted that when conducting a literature review about such problems and their solution, we noticed a lack of a detailed review and compactness of information. Thus, this work has a scientific novelty and, as a result, practical significance for the learning process. The paper presents a detailed description of the solutions of smooth sequences on the 1st, 2nd, 3rd differences; it also provides evidence with explanations of the theorems, gives illustrations of graphs of sequences under different conditions. The results of the study may be applicated to spaceship building and ballistics. Besides this, the article is supplemented with data in tables shown in the Appendices.
Foreign Trade Cooperation Technologies: Prospects and Opportunities (With China and Russia as Examples)
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Genshen Chzhou
Published: November 2019

The article has analyzed the benefits and barriers of creating the Sino-Russian free trade based on the legal documents governing the formation of the Silk Road taking into account features of the economies’ development at the current stage. The main trading partners of the Russian Federation among the far-abroad countries have been identified. The structure of exports-imports of the Russian Federation with the foreign trade partners among the APEC countries has been analyzed, including the structure of the trade between China and Russia, and the volume of bilateral trade between countries. The article has analyzed the state of trade cooperation between Russia and China by industries, and also assessed the competitiveness of the trading environment of the Silk Road countries. The authors have compared the parametric characteristics of Russia and China, and also forecasted the changes in the commodity structure of imports and exports for the Russian-Chinese foreign trade relations.
Solving the Routing Problem in Mobile Ad Hoc Networks by an Optimum System
Authors:   Research Scholar, JNTUH, India., Shailaja P. , Rao C. V. Guru ,   Director, S R Engineering College, India., Nagaraju A. ,   Assistant Professor, Department of CS, CURAJ, India.
Published: November 2019

Mobile Adhoc Networks (MANET) has actually brought in the study focus of countless scientists. Regardless of the numerous advantages shown by MANET, there are a number of challenges confronted by it because of its mobility, unsteady topology, energy efficiency and more. Out of all the challenges, energy efficiency is just one of the best essential difficulties being coped with by MANET. The paper is actually to fix the routing problem in important innovation besides becoming mobile Adhoc networks by presenting a maximum system that supervises the option of the operating routing protocol.
Job Shadowing Implementation to Improve the Work Skills of Midwifery Graduates
Authors:   Technology and Vocational of Education Faculty, Padang State University, Padang, Indonesia., Marlina Hastuti , Jalinus Nizwardi ,   Technic Faculty, Padang State University, Padang, Indonesia., Rizal Fahmi ,   Civil Engineering Faculty, Padang State University, Padang, Indonesia.
Published: November 2019

This study aims to measure the effectiveness of the application of job shadowing to midwifery graduates who have been carrying out their work as midwives for 1 month. Aspects measured whether there is an increase in knowledge, task management skills, work environment skills, interpersonal skills, workplace learning skills in midwifery graduates. The research methodology is quasi-experiment with pretest and posttest with control group design. The sample of the experimental group was 15 people and the control group was 15 people. The sampling technique is purposive sampling. Data collection using questionnaires and observation sheets using performance tests. Data analysis used normality, homogeneity and N-Gain Score tests in the treatment and control groups to see the pretest and posttest scores. The results of the study found that job shadowing was effective in increasing aspects of knowledge, task management skills, work environment skills, interpersonal skills, workplace learning skills in midwifery graduates compared to the control group. Recommended application of job shadowing for midwifery graduates at the beginning of their work. Suggestions for midwifery institutions to use job shadowing during field practice learning.
Autonomous Vehicular Surveillance using License Plate Recognition over Cloud Computing Architecture
Authors:   Assistant Professor, Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli, (Tamil Nadu), India, Dayana Baby D , Chanda Bikramjeet ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, (Tamil Nadu), India., Vinayak Vaidya Kabir Vinayak ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, (Tamil Nadu), India., Raza Sheikh Fahim ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, (Tamil Nadu), India.
Published: November 2019

License Plate Recognition (LPR) is the extraction and identification of licence plate numbers from license plates. The extraction process requires ample image pre-processing using normalization, gray scaling and edge removal techniques. These extracted plates can then be identified using image processing techniques such as neural networks and support vector machines. These license plates are captured using stationary video cameras, which extracts images from their feed as inputs into the image extraction algorithm. For the purposes of vehicular surveillance, these cameras are inefficient, as a lot of them will be required to monitor vehicles effectively. Hence there is a need for a larger scale model to carry out effective vehicular surveillance. For this purpose, the cameras embedded in self driving cars are utilised as replacements to stationary video cameras. These cameras have to advantage of being constantly mobile, hence being able to carry out a larger scale of surveillance. These cameras capture meaningful images of license plates from their video feed, and upload these images to the cloud using a Vehicular Cloud Computing (VCC) architecture. This centralized cloud carries out the image extraction and image processing tasks. The identified license plates can be used to monitor the cars they belong to. The cloud compares them to a database of license plates that are flagged by law enforcement. If the license plate is found to be flagged, then the respective law enforcement authorities are notified of the location of the car. If the plate belongs to a car with a history of misbehavior, the car capturing the plate is informed of thus, making it easier to safely navigate around the problematic driver.
Two Area Systems for Restructuring and Deregulation in Load Frequency using Fuzzy PID Controller
Authors:   (Correspondence Author) Research Scholar, Electrical Engineering Department, IFTM University, Moradabad, Assistant Professor, Electrical Engineering Department, B.B.D. University, Lucknow, U.P., India., Pandey Vikas , Sharma N.K. ,   Director Engineering Program at Mukesh Patel School of Technology Management and Engineering, NMIMS, Shirpur, Dhule, Maharashtra, India., Tiwari A.N. ,   Professor, Electrical Engineering Department, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.) India., Tiwari Prabhakar ,   Associate Professor, Electrical Engineering Department, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P.) India.
Published: November 2019

In this research paper, a fuzzy PID method has been used to improve the Load frequency problem (LFC). This technique will help in correcting the system performance. The two area system is used to describe the load frequency problem using Fuzzy PID Controller. To support the proposal, two areas have been considered. They have been modelled in MATLAB Simulink and accordingly simulated results have been obtained.
Role of Big Data Analytics in Healthcare
Authors:   Computer Deptt., DAV College Hoshiarpur, India., Jolly Anjali , Tripathi Dr Pooja ,   Head-Department of Information Technology, Inderprastha Engineering College, Ghaziabad(U.P), India.
Published: November 2019

Big data analytics has turn out to be the principle essence of just about every area in modern life such as health-care, commercial enterprise and plenty of different industries. Recent improvements in technology have absolutely changed the way our every day existence operates as hastily evolving advancements are leading towards bigger use of knowledge in the direction of high-quality lifestyles. Recently, investigators in healthcare technology are generating complex and excessive-dimensional records using diverse datasets and for this reason, these disciplines become more record-intensive. Hence, this may be considered as the right time to efficiently use the statistics analytics in healthcare and medical research to enhance remedy and affected person care. One side, big data analytics is coupled with some drawbacks and demanding situations than the existing conventional techniques. However, massive statistics is the imperative part of diverse researches like in human genome, which holds the promising future for subsequent generations. This makes it feasible to achieve a consolidated data associated with patient’s health which allows analysing the expected effects precisely. Therefore, these types of innovations have made it possible to use massive information in healthcare for improving the clinical operations, financial strategies in clinical sectors with digitized record upkeep and early ailment detection. Big data revolution has widened the horizons of healthcare and biomedical technology as it gives open record pool of affected person’s previous health facts for better analysis & assessment in future and thereby improving the medical practices with powerful scientific services.
Demand Side Management using Grid-Tied Photovoltaic Energy System
Authors:   Energy Research center, An-Najah National University, Nablus, Palestine., Ibrik Imad
Published: November 2019

This paper investigates the impact of investments in DSM technologies in Palestinian electricity market in order to solve the problem of supply shortages in electrical network, especially in peak demand periods. Renewable hybrid system, which can explore solar PV source at low cost, is a popular choice for this purpose nowadays, optimal energy management solutions can be obtained with great cost savings and active control performance. This paper analyzes the performance and feasibility of implementation DSM system in Palestinian distribution network, using on-grid PV system and energy management system.
Influence of Addition of Micro Silica on Strength Properties of Basalt Fiber Reinforced Multi Blended Concrete
Authors:   M.Tech. Student, Department of Civil Engineering, GITAM (Deemed to be University) Visakhapatnam, A.P., Reddy* K. Anupama , Kode Venkata Ramesh ,   Professor, Department of Civil Engineering, GITAM (Deemed to be University), Visakhapatnam, A.P., Malasani* Potharaju ,   Professor, Department of Civil Engineering, GITAM (Deemed to be University), Visakhapatnam, A.P., Darapu Srikanth Satish Kumar ,   Asst. Professor, Department of Civil Engineering, GITAM (Deemed to be University), Visakhapatnam, A.P.
Published: November 2019

In recent years, the development of multi blended mix concrete has gained attention due to its multiple advantages and environmental friendliness. This paper has attempted to examine mechanical properties of Multi blended concrete of M30 grade made with micro silica and basalt fibers. To reduce the deleterious effects of the production of cement on the environment, concrete is being developed by substituting admixtures like GGBS and Fly Ash in place of cement. Multi blended concrete developed with Fly ash and GGBS showed depletion in the mechanical properties. Micro silica & Basalt fibers were added to this mix additionally to overcome this deficiency. Initially four series of mixes of multi blended concrete were developed with a composition of Fly ash 20% and GGBS 30%, 40%, 50% & 60% as replacement of cement. For better performance, micro silica at 5% by weight of cement and Basalt fibers at 0.2% by volume of concrete were added. The mechanical properties such as Split tensile & Compressive strengths were studied at the age of 7 & 28 days. The results showed that M30 grade multi blended concrete can be achieved with 30% GGBS, 20% fly ash, 5% micro silica, 0.2% basalt fibers.
Split Ways : An Efficient Replacement Policy for Larger Sized Cache Memory
Authors:   Department of Computer Science, Assam University Silchar, India., Das* Purnendu , Roy* Bishwa Ranjan ,   Department of Computer Science, Assam University Silchar, India.
Published: November 2019

As the data requirement of today’s application is increasing the size of the cache memory in a multicore processor is also increasing. A multicore processor has many levels of cache memory. The Last Level Cache (LLC) is normally shared by all the cores and its size must be large enough to handle today’s data intensive applications. Such larger sized set-associative LLC facing major challenges to efficiently implement the replacement policy of its sets. As the number of ways are increasing in the LLC, the replacement policy becomes a bottleneck of the system. To improve the performance of the system and to reduce the hardware overhead, in this paper we propose a simple but hardware efficient replacement policy for the larger sized LLCs. We call the techniques as SplitWays as it divides (splits) the ways of a set into multiple groups called wayGroups. Each wayGroup maintains its own replacement policy. Experimental analysis using full-system simulator found that the proposed technique reduces the hardware overhead by up to 66% without any performance degradation..
Validation of Machine Learning Models for Health Insurance Risks Assessment
Authors:   Department of Computer Science Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India., Singh* Amrik , Ramkumar K R ,   Department of Computer Science Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Published: November 2019

A universal healthcare policy success is impossible without the use of insurance instruments. The healthcare and insurance industries are on the verge of integrating seamlessly with the help of sensors and algorithms. This research work focuses on validating an algorithm that can help to model and classify health insurance risk data. Six algorithms Logistic Regression (LR), K-Nearest Neighbors (KNN), Decision Tree (DT), Naive Bayes (NB) and Support Vector Machine (SVM) were evaluated and objective validation of these algorithms has been demonstrated. To maintain the replicability of the study the data and code are available in public repository. From the study, it is clear that the KNN algorithm is best suited as a risk classifier. This is evidence from the values of R2, error metrics, completeness score, explained variance, normalized mutual score v measure score, precision, recall, f1 score, and accuracy metrics. Secondly, the algorithms have been validated using 10 k-fold method using five types of performance metrics. In almost all cases, it was found that the KNN algorithm performs consistently and is the most suitable numerically. This can be attributed that the standard deviation remains tight of performance metrics in evaluation. From all the validation test, it can be claimed that on the current dataset, the KNN algorithm with Accuracy, Homogeneity Score Explained variance and Normalized mutual score hyper-parameter configuration is the best performer.
Properties of Biomineralization Process in Various Types of Soil and Their Limitations
Authors:   Department of Civil Engineering Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Mousa* Ahmed , Nahazanan* Haslinda ,   Department of Civil Engineering Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Huat Bujang Kim ,   Department of Civil Engineering Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Yusoff Zainuddin ,   Department of Civil Engineering Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Mustafa Muskhazli ,   Department of Biology, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
Published: November 2019

Weak and problematic soils affect stability and safety of structures founded on them. The problems occur due to limitation or absence of shear strength or over shear stress applied on the soil during loading which then lead to large settlement and consequently failure to the founded structures. Replacing the soil with better materials would be very costly as these types of soil are normally extended to a great depth under the ground surface. The proposed solution for such kind of soils is curing weak soils instead of replacing them. One of the proposed treatment methods is bio-grouting in which the conditions and the scales of the application differs according to the soil types and limitations. Reviews on previous researches have shown that treatment results by bio-grouting method are controlled by several factors, such as size of pores, value of pH, duration of treatment, presence of water and electro-kinetic effect, which give impact to treatment results quality and quantity. The outcome can go as far as killing the bacteria which then reduce the microbial growth if it was not controlled. Understanding of bio-grouting process and its application will help in improving the engineering properties of the weak soils and its applications.
Computation of Vehicle Motion Path upon Entering Turn
Authors:   Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia, Belyaev* Alexander Nikolaevich , Kozlov Vyacheslav Gennadievich ,   Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia, Vysotskaya Irina Alevtinovna ,   Military training and research center of the air force "Air force Academy named after Professor N. E. Zhukovsky and Y. A. Gagarin», Voronezh, Russia, Trishina Tatiana Vladimirovna ,   Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia
Published: November 2019

Curvilinear motion of a vehicle as a part of assembly which takes place mainly on headlands is the most complicated element of its kinematics. Turns are carried out with gradual transition from infinitely large to minimum radius (upon transition from straight motion to motion along simple curve) and from minimum to infinitely large radius (upon transition from motion along simple curve to straight motion). Herewith, curvilinear motion along path of variable radius (upon entering turn and coming out of turn) is a significant portion (quite often more than one half) of all motion of the assembly on the curve. This article presents the procedure of derivation of parametric equations for analytical prediction of theoretical coordinates of motion points of tractor kinematic center upon entering turns. This procedure is based on universal equation for determination of theoretical minimum turning radius of wheeled vehicle. The proposed equations make it possible to determine theoretical path of entering turn of vehicle depending on the following variables: engineering parameters such as base, distance between kingpins, maximum turn angles of internal steered wheels, and operating parameters such as vehicle forward speed, angular turning speed of steered wheels in transverse plane; and to select reasonable properties on this basis.
Rejection of effect of Non linearities in a PV Grid Integrated System using VSS SDLMS Scheme
Authors:   Department of Electrical Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India., Choudhury* Satish , Dash Byomakesh ,   Department of Electrical Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India., Sharma Renu ,   Department of Electrical Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India., Subudhi Bidyadhar ,   School of Electrical Sciences, IIT GOA, India
Published: November 2019

The integration of photovoltaic system with existing utility plays a vital role to achieve the sustainable development goals set by renewable energy agencies. The grid integration takes place by following IEEE-519 standards. Number of control strategies have already been implemented to maintain the required standard. A number of issues are encountered during the process of synchronization, such as deterioration of quality of power flow due to sudden changes in loads, switching of power semiconductor devices and variation in solar insolation. To address these aforementioned issues a Variable Step Size Sign Data Least Mean Square (VSS-SDLMS) adaptive algorithm is proposed. The proposed controller makes the reference current adaptive to the adversities. In this paper the effective application of signal processing tool i.e.VSS-SDLMS for the power quality issues is well demonstrated by implementing in a three-phase single stage grid connected Photovoltaic (PV) system. The proposed scheme employs to mitigate the harmonic contents produced due to intentional and non-intentional non-linearities in the overall system to a desired level as per IEEE-519 and also it is maintaining the power factor to unity by controlling the reactive power flow. The transient performance of VSS-SDLMS is compared with the conventional LMS based algorithms. The overall system is modelled using MATLAB/SIMULINK.
Application o f Inn ovative Aerospace Technologies f or Pastoral Farming o f Sheeps
Authors:   Stavropol State Agrarian University, Stavropol, Russia., Trukhachev* ladimir , Oliinyk Serhii ,   Stavropol State Agrarian University, Stavropol, Russia., Lesnyak Tatiana ,   Stavropol State Agrarian University, Stavropol, Russia., Sklyarov Sergey ,   Stavropol State Agrarian University, Stavropol, Russia., Musabaev Bakitzhan ,   Kazakh Research Institute of Livestock and Feed Production, Almaty, Kazakhstan.
Published: November 2019

Development of an innovative system of livestock husbandry based on the use of digital aerospace technologies and telemetry is a new modern direction in the development of the livestock industry, designed to solve the many problems of restoring fertility of soil and pasture for animals. To develop a methodology for remote assessment of pasture fertility, we used the technological capabilities of using unmanned aerial vehicles and satellite service, which allows us to study the dynamics of the NDVI (Normalized Difference Vegetation Index) of various pasture plots in the Stavropol Territory of the Russian Federation. The analysis of literary sources shows that the main problems associated with the complex automation of forecasting processes for complex objects are not technical, but methodological in nature and are caused by the lack of a theoretical base that should form the basis for creating the corresponding model and algorithmic support. A comparison of the results of a prognostic assessment of the nutritional value of fodder plants obtained from unmanned aerial vehicle (UAV) images, space services with actual nutritional values obtained from studies of the zoochemical composition of feeds showed a high degree of correlation. The UAV capabilities were recognized as promising for assessing the ethological characteristics of the Manych merino sheep, which allows to optimize the acquisition of groups of animals consolidated by forage activity. The article considers the issues of assessing the nutritional value of pasture feed and the vegetation index when raising sheep of the Jalgin merino breed in the conditions of the steppe regions of the Stavropol Territory. The introduction of remote assessment methods in pastoral livestock can optimize the cultivation of various sex and age groups of sheep and reduce the time to achieve production parameters by 5-8%.
Autism Support System using RFID Technology
Authors:   Professor Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India., Agnal* Sharmila , Janani S. ,   Student, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India., Maneesha Chellekampalli ,   Student, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India., Ramya K. ,   Student, Department of Computer Science, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Published: November 2019

This study represents a device to identify the location of an Autism Spectrum Disorder(ASD) child using an Radio Frequency Identification (RFID). This is a wearable device, that is to be worn by the autism child, which allows the parent to track the child anytime, anywhere .The RFID technology is implied for the location tracking, The RFID Tag is affixed on the device, the reader which is supposed to sense the RFID tag is placed at the spots such as classroom etc. The reader when it senses the tag notifies the parent through a message. When an RFID tag passes through the electromagnetic zone, it detects the activation signal produced by the reader. The encoded data present in the integrated circuit of the tag is being encoded by the reader and the data is delivered to the host computer for processing. The location can be sent to parent in the form of a normal text message via GSM. Autism children deserve to acquire knowledge and explore the environment. To overcome the obstruction this device will be of immense help.
Performance of Indiesel Fuel and the Blend of Aviation Turbine Fuel in the Diesel Engine
Authors:   U, Research Scholar, Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India,, Babu* Vimal , M Dr .Ramakrishna. ,   Dean, IQAC & Professor, Mechanical Engineering, Vignan’s Foundation for Science, Technology, and Research (Deemed to be University), Vadlamudi, Guntur-AP, India,, M Dr.Nagamani. ,   Senior Assistant Professor, School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad-India, Kumar Sandeep ,   School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, India
Published: November 2019

The performance of the Engine is tested with the Indiesel fuel with the blends of the Aviation Turbine Fuel up to the 40%. The distillation properties, performance, and emissions are observed. This paper will project the output of the engine performance.
Characterization of Multispectral Satellite Image for Land Surface Temperature Interpretation
Authors:   Survey and Mapping Department, Indo Global Mandiri University, Jl. Jend. Sudirman Km 4,8, Palembang, Indonesia, Shalihat* Annisa’ Kurnia , Ardiwinata Yogie ,   Urban and Regional Planning, Diponegoro University, Semarang, Indonesia
Published: November 2019

The increase in population is of course also accompanied by the development process. Conversion of land use from the vegetation area to non-vegetation, such as settlements for example will affect the surface temperature in the area. In addition, it will directly or indirectly affect the occurrence of global warming. Information about soil surface temperature needs to be known. Given that SPT as a factor that affects global climate change. To avoid urban heat, information about SPT is needed. Whereas in this study an identification process was carried out by utilizing thermal waves (thermal bands) found in Lands at 8. The identification process was carried out by the conversion method Algorithms produced from bands 10 and bands on lands at satellite images 8. The results of the research were high category was interpreted at most in the 2016 recording year with the majority distribution in urban areas, namely Kemuning District, IlirTimur I District and Bukit Kecil District.
Visualization of Encrypted Data Packagesusing Birch Algorithm
Authors:   Department of Informatics, Faculty of Computer Science, Universitas Indo Global Mandiri, Setiawan* Herri , Tasmi  ,   Department of Computer System, Faculty of Computer Science, Universitas Indo Global Mandiri, Sanmarino Ahmad ,   Department of InformationSystem, Faculty of Computer Science, Universitas Indo Global Mandiri, Verano Dwi Asa ,   Master of EngineeringInformatics t of Computer System, Department, Universitas Sriwijaya
Published: November 2019

Encrypted data packagesare already widely used in public services; such as Secure Sockets Layer (SSL/Transport Layer Security (TLS) and tunneling.It is used for its advantage of providing secure data exchange. However, there are difficulties to recognize encrypted packet patterns and distinguish between safe and malicious data. This paper proposes a method to visualize encrypted data packages in graphical form using Birch algorithm where itrecognizes better.There are four stages carried out in the study, namely System Design, Feature Extraction, Cluster Process, and Visualization. The results of clustering using the birch algorithm of 0.98 or have a percentage level of accuracy of 98 percent.
Performance on the Initiatives Taken T oward Financial Sustainability of Public Universities in Malaysia
Authors:   College of Graduates Study, Universiti Tenaga Nasional, Malaysia, Kadir* Mohd Rizuan Abdul , Cotter Christina Dominic ,   College of Graduates Study, Universiti Tenaga Nasional, Malaysia
Published: November 2019

The initiative to reduce Public Universities (PUs) dependency on the Malaysian federal government grants for operation and development expenditure was highlighted in the Malaysian Education Blueprint (MEB) 2015-2025. In the MEB, PUs are expected to strengthen their income generation to achieve financial sustainability while staying focus on their core educational missions. The purpose of this study is to assess income enhancement initiatives carried out by PUs to achieve financial sustainability. The initiatives suggested in UniTP Purple Book to help PUs in their quest to be financially sustainable is used as the variables. This study found that the PUs in Malaysia have a clear objective towards achieving financial sustainability. However, their initiatives in enhancing income are limited, mostly on the routine tasks and activities with low financial risks.
The Tradional Architecture of Palembang Limas House Evaluation of Physical Proportion of Palembang Limas House with Three Bengkilas in Seberang Ulu Palembang
Authors:   Doctoral student, Postgraduate Program, Faculty of Engi-neering, Sriwijaya University/Department Architecture Engineering, Facul-ty of Engineering, Tridinanti University Palembang., Aziz* Ibnu , Siswanto Ari ,   Department Architecture Engineering, Faculty of Engi-neering, Sriwijaya University., Sueca Ngakan Putu ,   Department Architecture Engineering, Faculty of Engineering, Udayana University., Purnama Dadang Hikmah ,   Department Sociology, Faculty of Social and Political Science, Sriwijaya University
Published: November 2019

The Palembang LimasHouseis traditional house that has an aesthetic based on ornament and proportion of buildings but in the last two decades fails to give the impression of aesthetic because their proportions are used differently from the old LimasHouse. The ideal proportion is the size ratio associated with the physical elements of the main building and the core building. The purpose of this study is to reveal the relationship between the empirical proportion with the theoretical proportion of the LimasHouse with three bengkilas at Seberang Ulu Palem-bang. This research uses quantitative rationalistic methods, 30 LimasHouse is purposively taken as sample using the criteria of having three bengkilas and at least 100 years old. The search for the elements’ sizes in physical LimasHouse is done by comparing the space inside the house with the simple ratio in each sam-ple.The result shows that LimasHouse follow simple ratio propor-tions based on 1:1 ratio, and in minor extent, 2:3, and the dimen-sional proportions follow some of the most beautiful rati-os.Moreover, the most harmonic dimension is the floor-roof di-mension, whichimplies that the house fit for private living, than for meeting or semi public purpose.
The Relationship of the Level ff Need f or Communication w ith the Style Features of t he Education Manager i n Uzbekistan
Authors:   professor Head of the Psychology Department of the National University of Uzbekistan, Tashkent, Uzbekistan, Dilbar Mukhamedova , Lochin Ravshanov ,   researcher at the National University of Uzbekistan, Tashkent Uzbekistan, Ruxsora Kudratullaeva ,   Associate Professor Associate Professor of the National University of Uzbekistan, Tashkent, Uzbekistan, Khasanboy Abdusamatov ,   Lecturer at the National University of Uzbekistan, Tashkent Uzbekistan
Published: November 2019

this paper is devoted to a common problem in the system of human interaction. The relationship between the level of need for communication with the style features of senior personnel has a high level and impact on the effectiveness of professional activities. In the following research, we proceeded from the fact that a change in the structure and content of training programs, management optimization involves a change in the structure of communication at different levels of managerial interaction. During the study, our attention was drawn to the search for psychological reserves that contribute to the optimization of business communication. In our opinion, a high level of need in communication is directly related to the style features of the leadership, and is one of the reserves for updating the communicative potential. The formative experiment was conducted to refute or confirm this assumption.
Diversification Models of Investment Portfolio: Regional Aspect
Authors:   Doctoral student at Tashkent State Institute of Oriental Studies, Uzbekistan., Bakhtiyarovich* Rakhmanov Bakhodir
Published: November 2019

The development of investment processes in all areas is the most necessary condition for the effective organization of farming in a transitive economy. Investment analysis provides an information base for making important decisions on the inclusion of projects in investment portfolio, analysis of the structure of sources and its financing, the feasibility of investing in various conditions, thereby ensuring an increase in the efficiency of investment activities of business entities. The main goal of the work is to systematize the classifications of investment portfolios, substantiate the choice of models for diversifying the investment portfolio, analyze the methodological and practical approaches of the strategic directions of interregional interaction and integration, economic and statistical assessment of investment activity at the regional level.
The Traditions of Baby Nursing on the Example of Uzbek People
Authors:   Tashkent institute of irrigation and agricultural mechanization engineers, PhD in history Ibragimova Muslima Yuldashevna,Tashkent State University of Uzbek language and literature,Тошкент, Uzbekistan., Mashrabjonovna* Dr. Prof. Ubaydullaeva Barno
Published: November 2019

This article deals with Uzbek people’s tradition connected with baby caring, innovative processes in modern conditions. The data given in the article were collected by the author during her expedition in 3 regions of Uzbekistan: Tashkent city mahallas, villages in Surkhandarya and Namangan regions.
Effect of Nutrient Media and Phytohormones on in Vitro Culture Initiation of Juno tratt. Species
Authors:   Institute of Botany, Academy of Sciences of Uzbekistan, Durmon yuli str. 32, 100125, Tashkent, Uzbekistan, Nikitina* Elena , Tojibaev Komiljon ,   Institute of Botany, Academy of Sciences of Uzbekistan, Durmon yuli str. 32, 100125, Tashkent, Uzbekistan, Halbekova Hulkar ,   Institute of Botany, Academy of Sciences of Uzbekistan, Durmon yuli str. 32, 100125, Tashkent, Uzbekistan
Published: November 2019

A long period of dormancy in seeds delay plant breeding. Using embryo culture technique, the breeding cycle can be shortened in plants. The aim of this experiment was breaking the seeds dormancy of Juno Tratt. species due to their structure peculiarities. The method of seed germination in vitro was appliedin order to accelerate plants reproduction and to obtain young and surface sterile plant material. Therefore, the calculation of optimum nutrient media for plant regeneration was conducted to provide maximum growth and development of explants and quality of developed plantlets. This work emphasizes on optimization of nutrient media. The significant effect of phytohormones (6-benzylaminopurine (BAP), indolyl-3-acetic acid (IAA), kinetin) at different concentrations and combinations during organ culture has been shown.
Optimization and Simulation of the Process Electro Impulse Treatment of Plants
Authors:   head of the laboratory ", Alexander* Kabiljanov ,   Intellectual Control Systems",   of the Scientific-Innovative Center of Information Technologies at the Tashkent University of Information Technologies named after Muhammad al-Khorazmiy,Uzbekistan., Elmurod Bozorov ,   doctor of philosophy, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers,Uzbekistan., Charos Okhunboboyeva ,   assistant, Tashkent institute of irrigation and agricultural mechanization engineers,Uzbekistan., Nigora Azizova ,   assistant, Tashkent institute of irrigation and agricultural mechanization engineers,Uzbekistan.
Published: November 2019

The questions of optimization of parameters and simulation of the process of electro impulse processing of the root system of tomatoes and cucumbers are considered; the results of computational experiment with the use of polynomial models of the optimized object are given.
Fractal Geometry and Its Application to Antenna Designs
Authors:   Department of ECE, VSSUT, Burla, Odisha, India, Jena Manas Ranjan , Mishra Guru Prasad ,   Department of ECE, VSSUT, Burla, Odisha, India, Sahu Amiya Bhusan ,   Department of ECE, VSSUT, Burla, Odisha, India, Mangaraj B.B. ,   Department of ECE, VSSUT, Burla, Odisha, India
Published: November 2019

This paper primarily focuses on various fractal geometries and their applications to antenna designs. Several natures inspired and human inspired fractal geometries are presented one by one. Their importance and design procedure are also briefly discussed. The dimensions of such fractal geometries are found using their mathematical modeling. Considering modeling and their corresponding shapes various low profiles, low cost, small size and, light weight antenna designs for various wireless applications are described. The broadband, wideband, and multiband nature of the design due to fractal application are discussed. Finally advantages, disadvantages, major applications, and future scope of such fractal geometries are mentioned.
Bond Graph Modelling and Simulation of Buck ZVS Quasiresonant DC-DC Power Converter
Authors:   Research Scholar, Department of Electrical Engineering, Jawaharlal Nehru Technological University, Anantapur, India, Vali* Shaik Hussain , Vulasala Ganesh ,   EEE department, JNTUA College of Engineering Pulivendula, India.
Published: November 2019

Modeling of Buck Zero voltage switching (ZVS) Quasiresonant DC-DC power converter using bond graph approach is being presented here. The development of steady-state, small signal and large signal AC bond graph models of Buck ZVS Quasiresonant converter will be presented. The bond graph model will be simulated in MATLAB/SIMULINK and are compared with the simulated results obtained in PSIM.
Modified Structure of Sepic Based Single Phase Five Level T Type Inverter for Photovoltaic Applications
Authors:   research scholar, SCSVMV University, Kanchipuram, India., R Arunprasath , D Vijayakumar ,   School of Electrical Engineering, VIT University, Vellore, India., S Meikandasivam ,   School of Electrical Engineering, VIT University, Vellore, India., M Rathinakumar ,   Department of Electrical Engineering, SCSVMV University, Kanchipuram, India, A Kirubakaran ,   Department of Electrical Engineering, NIT Warangal, India,
Published: November 2019

In this paper, a modified structure of two-stage sepic based five-level T-type inverter is presented for photovoltaic applications. The proposed topology consists of a frond-end sepic converter cascaded with full bridge T-type inverter through a high-frequency transformer. The proposed topology owns the merits of high boost output voltage level, modularity, reduced device parts, and better quality of supply. Therefore, a detailed operation of the proposed topology and the level generations using sine pulse width modulation are presented. Finally, the performance of the proposed topology is validated through Matlab simulation and experimental prototype model results.
Response Surface Methodology Optimization of Production of Cellulase by Trichoderma Reesei using Mango Peel
Authors:   Department of Mathematics, Karunya Institute of Technology and Sciences, C* Bazil Wilfred. , Stephen S.Elizabeth Amudhini ,   Department of Mathematics, Karunya Institute of Technology and Sciences, Peter Dayanand ,   Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, N Sai Sree ,   Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore
Published: November 2019

Progression of the lifestyle vehicle for cellulose age using Trichoderma reesei was finished. The creating use of mixes to override traditional manufactured change methods is focused by an objective for better age money related angles. Celluloses are lignocelluloses materials are disgraceful endless resources available in enormous sums. Cellulose is a homopolymer of glucose. Box-Behken method was used for upgrade of tri – choderma reesei using mango strip.
Optimal Sensor Deployment in Internet of Things based Wireless Sensor Network for Irrigation Management System
Authors:   Assistant Professor in the Department of Information Technology at MIT ADT University, Pune, India., Jagtap Arvind Madhukar , Gomathi N. ,   Professor, Department of Computer Science & Engineering, VEL-TECH Dr. RR & Dr.SR Technical University, Chennai, India.
Published: November 2019

In recent years, several applications are found to be exploiting under Wireless Sensor Networks (WSNs), and more particularly civil and military applications. However, Target Coverage (TCOV) and Network Connectivity (NCON) are found to be the most crucial issues that have to be resolved to attain effective robust data communication and environmental sensing in WSN. This paper has made an attempt to propose a new effective sensor deployment model in the application of the irrigation management system in agriculture sector. The data logger (data collector) IoT devices are typically placed over the field, which does the communication one another. The main point of this design is the IoT device TCOV and NCON, and the real-time issue related to this design is the device mobility that consumes more power thereby minimizes the lifetime of network. The proposed model intends to solve the comprised NCON and TCOV with the aid of Euclidean Spanning Tree Model (ECST). Further, this paper introduces a new Fitness Interrelated Whale Optimization Algorithm (FI-WOA) that insisted in the minimum movement of mobile sensors over the network. This novel characteristic of sensor deployment model would create the effectual impacts in the irrigation management system. Further, the adopted ECST-WOA model is compared with conventional models and the results attained from the execution demonstrate the enhanced performance of the implemented technique.
Methodology of Filtering the Noise and Utilization of STEMI in the Myocardial Infarction
Authors:   Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India., Manimekalai* K. , Kavitha Dr.A. ,   Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India.
Published: November 2019

In order to detect the Myocardial Infarction from ECG records of the patients, the physicians study the electrical motion of the heart. A Myocardial Infarction is an illness condition related to the heart and it is recognized when the pathway to the heart is blocked. These blocks interrupt the regular functioning of the heart; which is spotted through the deviations in the readings of ECG signals. For the sake of detecting Myocardial Infarction, it is essential to detect ST-Elevation followed by the removal of noise in ECG signals with the help of the filtering process. ECG signals are getting affected by various noises with high and low frequencies that will originate the incorrect interpretation. The methodologies for ECG signal filtering using filtering algorithms and for STEMI feature selection from the resultant noise free ECG signals are presented in this paper by employing the MATLAB tool.
Pulmonary Nodule Classification in Thoracic CT Images using Random Forest Algorithm
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Shukla* Utkarsh , Srivastava Kshitij ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Bhati Aarav ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Priyadarsini M. Jasmine Pemeena ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Jabeena A. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, Rajini G.K. ,   School of Electrical Engineering, Vellore Institute of Technology, Vellore.
Published: November 2019

In this paper, an automatic classification of thoracic pulmonary nodules with Computed Tomography Image as input is performed. We can crisply classify the nodules into two categories: Benign and Malignant. Benign nodules are the ones which do not cause any harm and even if they do, the impact is negligible. Malignant Nodules are the ones which, if not detected on time can cause severe damage to a person, even resulting in death. Henceforth, detection at early stage of lung cancer is critical. We plan to perform our analysis in 4 steps. Firstly, a noise free CT image is obtained after preprocessing. Then, we apply the improved Random Walker algorithm to perform region-based segmentation, resulting in generation of foreground and background seeds. The next step is to bring out important features of the segments. The features can be intensity, texture and geometry based. Finally we used an improved Random Forest method to generate classification trees, comprising of different class labels. Using RF Algorithm, we predict the accurate class label which corresponds to a particular type of nodule and the stage of cancer that it has developed.