bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimating the difference of agriculture productivity in ASIAN regions
Authors: Hira Swati , Bai Anita
Published: April 2019

Agriculture is the major sector in the economy of Asia. The aim of this paper is to identify the importance of agriculture in Asia continent. In this paper, we evaluate differences between and within regions of Asia (Eastern-Asia, South-Central Asia, South-East Asia, and Western Asia and Middle Asia) and their countries. We used five agriculture parameters (Agriculture Land, Cereal production, Machinery, Tractors, Cereal yield, Land under cereal production) which widely represent agriculture productivity of Asia. The means of all Asian regions and its countries are identically similar is considered as a hypothesis for agriculture parameters. We use One-way ANOVA (analysis of variance) technique for analysis. Further, Asian regions and countries are estimated to test the differences of the means between and within regions and countries of each Asian region. The results show that each Asian region and their countries are having different agriculture productivity for agriculture parameters.
Impact of selective forwarding attack on AODV protocol in mobile wireless senor networks
Authors: Sehrawat Harkesh , Singh Yudhvir , Siwach Vikas
Published: April 2019

wireless sensor network is the growing field of research having capacity to help the mankind with its usage in varied areas like military surveillance, medical etc. However these networks are vulnerable to certain attacks like black hole, wormhole and selective forwarding. In this paper selective forwarding attack is analyzed on varying number of attacker nodes and its impact on different performance parameters. It is concluded that the performance of the entire network is degraded with the increase in the number of malicious nodes.
The Study of Brown Rice Starch Effect On Hydroxyapatite Composites
Authors: F. Mohd Nasir N , Sucinda A , M Cheng E , S. Abdul Majid M , A.M. Amin N , Rahim Robbi , Jusoh M , F. Abdul Khalid M
Published: April 2019

The fabrication of starch-hydroxyapatite (HA) scaffolds was conducted previously by using corn, tapioca and rice. Here, local brown rice was chosen as the source of starch since different type of rice may give different outcome of in term of the scaffold’s materials characteristics. The main aim of this study is to obtain a brown rice starch-hydroxyapatite (HA) composite scaffolds that could imitate the structure and the characteristics of a natural bone. The fabrication process involved solvent casting and particulate leaching method which using NaCl as a porogen agent. Four ratios of starch-HA were fabricated with concentration of starch 50wt%, 60wt%, 70wt% and 80wt%. Afterward, the effects of the brown rice starch on the scaffolds were investigated by water absorption test and Scanning Electron Microscope (SEM). Here, only 50wt% and 60wt% ratio of starch-HA can be used to fabricate tissue scaffolds using solvent casting and particulate leaching method. Hence, the 60wt% ratio scaffolds has the highest water absorption of all and the pore’s size observed through SEM corresponded to this. The FTIR also shows there are more interactions between Brown Rice starch and HA for the 60wt% ratio.
Effect of Leadership and Information System Management on Teacher Performance
Authors: Retnaningsih Rahayu , Marsigit M , Supriyoko S , Nurdiyanto Heri
Published: April 2019

This study examines the influence of leadership and integrated management information system on the performance of Klaten State Senior High Schoolteachers. To create a good teacher performance is done with the utilization of information technology through integrated management information system as a means to provide services and improve teacher performance. The purpose of this research are: (1) to know the significance of leadership influence on teacher performance in Klaten State Senior High School , (2) to see the impact of the use of integrated management information system on the performance of Klaten State Senior High School teacher, (3) to know the effects of leadership and system combined management information on the performance of Klaten State Senior High School teachers. The number of samples is 95 people with data collection methods through distributing questionnaires, digging from documents and interviews. Data analysis technique in a prerequisite test of data analysis using Parson Product Moment correlation (r). Testing data normality using Chi-Square analysis with 5% significance level, and multiple regression. The results showed that leadership has a positive and significant impact on teacher performance, integrated management information system has a positive and significant effect on the performance of Klaten State Senior High School teachers, leadership and integrated management information system together also have a positive and significant impact on the performance of Klaten State Senior High School. Implications of command and integrated management information systems are vital factors that can affect the performance of Klaten State Senior High School teachers.
Retinal vessel feature extraction from fundus image using image processing techniques
Authors: Lavanya R. , Rajini G. K. , Sagar G. Vidhya
Published: April 2019

Retinal Vessel detection for retinal images play crucial role in medical field for proper diagnosis and treatment of various diseases like diabetic retinopathy, hypertensive retinopathy etc. This paper deals with image processing techniques for automatic analysis of blood vessel detection of fundus retinal image using MATLAB tool. This approach uses intensity information and local phase based enhancement filter techniques and morphological operators to provide better accuracy.Objective: The effect of diabetes on the eye is called Diabetic Retinopathy. At the early stages of the disease, blood vessels in the retina become weakened and leak, forming small hemorrhages. As the disease progress, blood vessels may block, and sometimes leads to permanent vision loss. To help Clinicians in diagnosis of diabetic retinopathy in retinal images with an early detection of abnormalities with automated tools.Methods: Fundus photography is an imaging technology used to capture retinal images in diabetic patient through fundus camera. Adaptive Thresholding is used as pre-processing techniques to increase the contrast, and filters are applied to enhance the image quality. Morphological processing is used to detect the shape of blood vessels as they are nonlinear in nature.Results: Image features like, Mean and Standard deviation and entropy, for textural analysis of image with Gray Level Co-occurrence Matrix features like contrast and Energy are calculated for detected vessels.Conclusion: In diabetic patients eyes are affected severely compared to other organs. Early detection of vessel structure in retinal images with computer assisted tools may assist Clinicians for proper diagnosis and pathology.
Real-time logs in virtual data-center
Authors: Srinivas Chalasani
Published: April 2019

Penetration testing is a specialized security auditing methodology where a tester simulates an attack on a secured system. The main theme of this paper itself reflects how one can collect the massive amount of log files which are generated among virtual datacenters in real time which in turn also posses invisible information with excessive organization value. Such testing usually ranges across all aspects concerned to log management across a number of servers among virtual data centers. In fact, Virtualization limits the costs by reducing the need for physical hardware systems. Instead, require high-end hardware for processing. In the real-time scenario, we usually come across multiple logs among VCenter, ESXi, a VM which is very typical for performing manual analysis with a bit more time-consuming. Instead of configuring secure-ids automatically in a Centralized log management server gains a powerful full insight. Along with using accurate search algorithms, fields searching, which includes title, author, and also content comes out of searching, sorting fields, multiple-index search with merged results simultaneously updates files, with joint results grouping automatically configures few plugs among search engine file formats were effective measures in an investigation. Finally, by using the Flexibility Network Security Monitor, Traffic Investigation, offensive detection, Log Recording, Distributed inquiry with full program's ability can export data to a variety of visualization dashboard which exactly needed for Log Investigations across Virtual Data Centers in real time.
Dragonfly addressing model for software defined networks based on datacenters
Authors: Hassan Heba , Al-Awamry Amr , Abdelhalim Mohammed
Published: April 2019

With the advancement of technology, virtualization has become very important for Information Technology (IT) experts. Network Functions Virtualization (NFV) means to address issues resulting from complex hardware-based appliances by developing standard IT virtualization technologies. Software Defined Networking (SDN) solidifies the advantages of datacenter virtualization, increases resource flexibility and utilization, and reduces infrastructure costs and overhead. Datacenter networks should have the ability to guarantee high throughput and resiliency. For such reasons, typical datacenter networks (e.g. Fat Tree) have been evolved to high-radix networks (e.g. Dragonfly). This work aims to investigate how SDN and NFV can improve the advantages of datacenter virtualization by utilizing datacenter topologies such as Dragonfly (DF) topology and Fat Tree (FT) topology in SDN, thus expanding resource flexibility and utilization and diminishing infrastructure costs and overhead. By using Dragonfly topology, the cost is reduced and better scalability is introduced compared to the folded clos networks such as Fat Tree. Here in, a novel addressing scheme is proposed for Dragonfly topology with simulation results included utilizing Mininet, which incorporates MiniEdit that is used to create and run network simulations.
Face recognition based on stable uniform patterns
Authors: Reddy A. Mallikarjuna , Krishna V. Venkata , Sumalatha L.
Published: April 2019

Face recognition (FR) is one of the challenging and active research fields of image processing, computer vision and biometrics with numerous proposed systems. We present a feature extraction method named “stable uniform local pattern (SULP)”, a refined variant of ULBP operator, for robust face recognition. The SULP directly applied on gradient face images (in x and y directions) of a single image for capturing significant fundamental local texture patterns to build up a feature vector of a face image. Histogram sequences of SULP images of the two gradient images are finally concatenated to form the “stable uniform local pattern gradient (SULPG)” vector for the given image. The SULPG approach is experimented on Yale, ATT-ORL, FERET, CAS-PEAL and LFW face databases and the results are compared with the LBP model and various variants of LBP descriptor. The results indicate that the present descriptor is more powerful against a wide range of challenges, such as illumination, expression and pose variations and outperforms the state-of-the-art methods based on LBP.
Ant Based Zonal Routing in Mobile Adhoc Networks
Authors: Singh Gurpreet , Kaur Amanpreet , Singh Aashdeep , Gupta Rohan
Published: April 2019

Mobile Ad hoc network (MANET) is a collection of moving wireless nodes which form a temporary network topology without using any pre-existing network infrastructure. One of the challenges in MANET is to identify a path between the source and the destination nodes. MANET is highly deployable, self-organizing, autonomous and self-configuring network with the ability of rapid deployment. Nodes movement imposes high challenges to routing in MANET due to dynamically changing of topologies, low transmission power and asymmetric links. So well-organized routing is very critical task due to highly dynamic environment. Route instability occurs due to node mobility and leads to frequent change in topologies; therefore routing becomes one of the core issues. Many researchers are working on the expansion of routing protocols in MANET.
A Low-Cost Software Defined Radio Based Cognitive Radio Test-Bed for LTE Networks
Authors: Suresh Babu Kolluru , Vemuru Srikanth
Published: April 2019

In this work, we present a low-cost implementation of a Cognitive Radio (CR) test-bed for LTE and LTE-Advanced (LTE-A) Networks. The test-bed setup is implemented using highly integrated Software Defined Radio (SDR) platforms which are well suited for wireless communication. Each transceiver can be configured to work as a primary (resp. secondary) eNodeB or a primary (resp. secondary) user in a Heterogeneous Cognitive Radio framework. In this context, we study the problem of spectrum management in an LTE based heterogeneous network and propose simple distributed algorithms which the secondary eNodeB can employ to efficiently manage the spectral opportunities that arise in such a network. Experimental validation show significant improvement in the secondary link throughput.
A Brief Review for Semiconductor Memory Testing Based on BIST Techniques
Authors: Imocha Singh Nongthombam , V. Joshi Prashant
Published: April 2019

With rapid growth of semiconductor industry and increase in complexity of semiconductor based memory, necessity of stringent testing methodology has become one of top most criteria for memory evaluation. This paper describes the fundamental concepts and overview of Built-In-Self-Test (BIST). It describes different functional faults modeling of RAM and flash memory. This review mentions about testing approaches for memory and illustrates BIST techniques for finding faults, power dissipation, area overhead and test time during testing, also includes research gap and future scope regarding the testing of memory.
Different Types of Review Approaches in Load Balancing Techniques in Cloud Computing Environment
Authors: Sindiya J Arul , R Pushpalakshmi
Published: April 2019

Cloud computing is the most emerging and powerful technology in the IT world. The interesting features with enhancement facilities grab the attention of the researchers into its field. Its special kind is pay-as-you-go model for the consumers, by this way the user may this service as they want like as infrastructure, platform and software according to their needs. Cloud computing is an effective management system which built a great relationship between the consumer and the cloud owner’s. However there is a positive aspect still some negatives makes the cloud computing still research field. Some of the major drawbacks still to be discussed were fault tolerance, load balancing and security. The main concept need to be discussed is load balancing; it is mainly depend on requesting the resource services. Some of the key points in load balancing is optimization in resources usage, minimum response time, boost turnout and enabling free from needless burden. Another critical issue is increased user list and cloud application types. In this exploration we focused for Load balancing, how to balance and constructed a present day strategy in a distributed computing condition. Before construct an apparatus how about we do a point by point overview look into in different existing load balancing procedures and cloud analyst tool by various authors.
Farey Sequence for Error Correcting Codes and Medical Images
Authors: Poornima M , Jagannathan S , Chandrasekhar R , T Kumara S
Published: April 2019

A new scheme for Error Correcting Codes and the coding of medical images through Farey Sequence is brought in the paper. It brings out the reduced real point representations and more of integer point representations. The test case and outcomes are explained in the section 4 and 5.
Tribological behavior of thin film coating-a review
Authors: Chandra Yadaw Ramesh , Kumar Singh Shailesh , Chattopadhyaya Somanth , Kumar Sanjeev , C. Singh R
Published: April 2019

An automotive industry sectors are facing major challenges to produce materials of high hardness, low wear rate and corrosive resistant due to international intrinsic norms. Scientist and researchers are developing new materials with different surface properties to come over the international intrinsic norms and hence, they are trying to enhance tribological behavior and increase the life of automotive parts, make the parts corrosive resistant. Therefore, it has become essential to explore the new combinations of coating materials. A tribome-chanical effect of hard metal (WC-12 % Co and Cr3C2-25 % NiCr) coating on the cast iron and steel substrate were compared. Micro hardness, porosity, microstructure, corrosion and economical factor were compared and concluded that the hardness of WC-12%Co & Cr3C2-25NiCr coated on mild steel substrate were comparatively superior but the Cr3C2-NiCr coated cast iron substrate was better over WC-12%Co because it was more economical and corrosive resistant and competitive wear characteristics and as the temperature and load are increased, the Cr3C2-NiCr shows excellent wear resistances.
Study on Self-Cleaning Concrete Using Nano-liquid TiO2
Authors: Vignesh T , Sumathi A , Saravana Raja Mohan K
Published: April 2019

The present work explores to study the compressive strength and self-cleaning properties of the concrete by the applications of nano-liquid TiO2 on fresh concrete with different dosages (0, 2.5, 5.0, 7.5 ml) and single, double, and triple layer coating of nano-liquid Tio2 on the hardened concrete surfaces. Cement was partially replaced with Fly ash by In this study cement was replaced with 30% fly ash and to examine self cleaning properties of concrete by using Rhodamine-B dye (RhB) discoloration test under Sunlight/UV light visual observation. Concrete samples with photocatalytic nano-liquid Tio2 was mixed with fresh concrete (NF) showed enhanced compression strength by increasing the dosages when compared to the nano-liquid Tio2 was coated on the surface of the hardened concrete (NH). Self cleaning ability of NH of samples showed better results in cleaning ability than NF samples.
Construction Material Management through Inventory Control Techniques
Authors: RathinaKumar V , Lalitha Priya K , Kumar.I Prasanna , Ravekumar C
Published: April 2019

Objectives: A research has shown that the construction materials account for more than 55%-60% of the total expenditure of a project. Efficient material planning plays a major role in the successful handing over of a project within the estimated cost and schedule. Methods: This paper mainly focuses on materials planning and inventory control as these are the major aspects of material management. S-curve analysis is performed to measure the fluctuation between estimated materials cost and market materials cost. The major reasons for this are identified by interviewing engineers and contractors. Inventory control techniques such as ABC classification as well as EOQ analysis are conducted. Findings: The result of the S-curve analysis show that the actual materials cost is higher than the planned materials cost in most cases. ABC and EOQ analysis are applied to maintain sufficient stock in inventory and any given point of time, to protect the materials in the inventory against damages, to reduce inventory holding costs, to overcome stock-out problems and to maintain the inventory in an optimal level. Sensitivity check is applied to the results of EOQ analysis. The stock-out of A class and B class material problems faced in the  construction site can be reduced by  the application of ABC classification and BOQ analysis. The total expenditure of inventory is less after the adoption of these simple inventory control techniques.  Conclusion: Instead of using costly software for inventory management, the engineers and contractors may use these simple inventory control techniques which are equally beneficial and economical.
Experimental Study on Mechanical Properties on Ternary Blend of Concrete
Authors: Chander S Vijay , K Ramakrishnan , D Muthu
Published: April 2019

A major problem in cement manufacturing is the increased emission of CO2. About 5% of worldwide man-made emission of CO2 is generated. Cement being the predominant material of concrete, the usage needs to be reduced by using admixtures or SCMs to replace partially, the percentage of OPC in concrete. Admixtures like Metakaolin (MK) and Waste Glass Powder (GP) were used to replace OPC, producing a ternary blended concrete. The cement replacement with GP is from 5% to 45% and MK is from 45% to 5% both in steps of 5% and hence a total of ten combinations including control mixture (100% cement) were studied for M30 grade. Mechanical properties are evaluated by conducting compressive, split tensile strength tests. The initial compressive strength of mix containing 20% GP and 30% MK with 50% OPC, after 7 days curing is found to be higher by 5%, compared with control mix.
Design an Efficient Power Electronics Transformer (PET) for the Improvement of Quality in Power
Authors: V Swathi G , Paparao N , Swathi D
Published: April 2019

This paper consists of a new device called as Power Electronics transformer (PET) which has been recommended in paper so that it understands that voltage transformation, galvanic isolation, and enhancing force personal satisfaction for a just gadget. The PET gives a complete methodology for designing a transformer that uses Power electronic frameworks which comprises for primary coil and auxiliary coils of a transformer. A couple features to example, such-and fast voltage regulation, voltage list recompense what's more likewise revision for control figure could a chance to be united under PET. This paper indicates another thought of plotting An vitality electronic transformer. In the schema process, those AC/DC, DC/AC, AC/AC converters In addition secondary back transformers have been utilized. Grid converter similarly meets desires Likewise AC/AC converter on force electronic transformer. Those proposed drive electronic transformer performs perplexedly capacities to example, amendment regarding energy.  Factors, elimination of swell and voltage sag, reduction of voltage flicker and fault situation protection capabilities. The recommended force electronic transformer need been shown using MATLAB/ SIMULINK Furthermore also change Previously, force characteristic with recommended perfect gas need been checked by the simulink outcomes.
Modification of ITU-R Parameters to Improve the Prediction of Tropospheric Scintillation for Tropical Regions
Authors: Philip B John , K Kotamraju Sarat , Sri Kavya Ch
Published: April 2019

Scintillation is the rapid fluctuation of the received signal. It is caused by the variation in the refractivity structure of the atmosphere profile. This phenomenon leads to the signal degradation and is significant in low fade margin links and at low elevation angles. So, analyzing the scintillation intensity and its statistics are vital for a system designer to design an efficient system for the satellite communication link. This paper presents the methodology to extract the scintillation intensity from the raw beacon signal and comparison of ITU-R scintillation prediction model with the measured results to test its acceptability over tropical region. When compared with measured results, ITU-R model overestimates the scintillation fade. Hence the parameters of the time percentage factor are modified to obtain near fit to the measured results.
An Assistive Bag for Blind and Deaf
Authors: Joselin Retna Kumar G , . Showme , Saxena Purva , Kumar Mamidala Uday , Pammi Anupam
Published: April 2019

People with disabilities who use visual aids like hearing aid, blind stick for obstacle detection while walking etc. are often discriminated in the society as they are handicapped. The main focus of this paper is to create an assistive device for the visually impaired as well as the deaf to make them socially acceptable without showing their disability to the society by using visible aid. It is incorporated with features like GPS location update, GSM-based messaging system to notify relatives of the location of the user in case of emergency situations and voice recognition based home automation. It uses ultrasonic sensors to detect obstacles and vibration motors to notify the user about the obstacle thus eliminating the use of external device for communication.
Context Free Grammar Identification from Positive Samples
Authors: Senthil Kumar K , Malathi D
Published: April 2019

In grammatical inference one aims to find underlying grammar or automaton which explains the target language in some way. Context free grammar which represents type 2 grammar in Chomsky hierarchy has many applications in Formal Language Theory, pattern recognition, Speech recognition, Machine learning , Compiler design and Genetic engineering etc. Identification of unknown Context Free grammar of the target language from positive examples is an extensive area in Grammatical Inference/ Grammar induction. In this paper we propose a novel method which finds the equivalent Chomsky Normal form.
Detection of Node Failure Localization in Communication Networks
Authors: Shekhawat Nidhi , Panchamia Shanil , S Ushasukhanya
Published: April 2019

We explore the capability of localizing node failures in communication networks from binary states (normal/failed) of end-to-end paths. Certain a set of nodes of importance, individually localizing failures inside this set necessitates that dissimilar noticeable path states connect with dissimilar node malfunction events. However, this circumstance is easier said than done to test on huge networks due to the requirement to itemise all promising node failures. Our first donation is a set of satisfactory/compulsory conditions for classifying a restricted numeral of failures within an uninformed node set that can be experienced in polynomial time. In adding up to network topology and positions of monitors, our circumstances also include restrictions forced by the penetrating mechanism used. We are here considering three probing mechanisms basically which differ according as to whether dimension paths are: (i) arbitrarily controllable; (ii) controllable but cycle-free; or (iii) uncontrollable (which are dogged by the evasion routing protocol). Our second donation is to calculate the potential of malfunction localization from beginning to end: 1) the utmost number of failures (wherever in the network) such that malfunctions inside a given node set can be exceptionally localized and 2) the major node set inside which failures can be exclusively localized underneath a given vault on the total amount of failures. Here both the methods in 1) and 2) can be transformed into the functions of a per-node property, which can be computed resourcefully based on the above satisfactory/compulsory conditions. We reveal how process 1) and 2) projected for enumerating malfunction localization capability can be used to calculate the collision of various parameters which includes topology, number of monitors, and probing mechanisms.
Development of Mathematical Model of Rotary Kiln which are used for Design Conventional Control Systems
Authors: Bojja Polaiah , Merrin Prasanna N
Published: April 2019

The main aim of the work is used to develop the mathematical model which are used to design conventional control system for the real time cement plant to control several variables of a cement rotary kiln in the plant. A cement rotary kiln is a non linear distributed process which has a highly complex dynamic behavior due to chemical reaction, development of a system to understand the behavior of a kiln process as mathematical model based on control scheme for cement rotary kiln processes. However , the variables are back-end temperature,pre heater temperature, oxygen content and CO2 gas content of the kiln are used to develop the model of the processes by the most use of Automation. The proposed controller uses a PI controller and PID controller. Finally the designed of Controller scheme for cement rotary kiln process of results are car- ried out by MATLAB software for evaluation of the performance kiln process.
Robust Watermarking using Genetic Algorithm in DCT Domain
Authors: Vikram Singh Raj , Waria Subodh , Kumar Singh Rajiv , Vikram Singh Harsh
Published: April 2019

In this paper, a novel and efficient data hiding using Genetic Algorithm in DCT Domain implemented. Watermarking is an essential zone of research as of late including various applications. It is the investigation of inserting data into the cover picture viz., content, video, and picture (payload) without making measurably huge change the cover picture.
Design and Implementation of CNC Milling Bot for Milled Circuit Board Fabrication
Authors: Kannan Megalingam Rajesh , Rajesh Raagul Vadivel Shree , S Sreekumar , Sekhar Swathi , R Nair Thejus , RR Midhun
Published: April 2019

This research paper presents an alternative way to fabricate a Milled Circuit Board (MCB) with the help of a Computer Numerical Controlled (CNC) milling robot. Printed Circuit Boards (PCB) are one of the most widely used control modules in electrical and electronic industries. In this research paper we propose a computer controlled milling machine which can be used for quick fabrication of double layered PCBs called MCB where a user wants to test the circuit without the need to wait for the conventional PCB fabrication. The end effector of the CNC milling machine has the provision to move in 3 axes-x, y and z in accordance with the input received from the controller. DipTrace, an EDA/CAD software is used for creating the schematic diagram for the milled circuit boards. The design to be engraved on the copper clad board is uploaded to a software called CopperCam, where it can be converted to G-code files after making the necessary modifications. These G-code files are then uploaded to the CNC machine using the software Universal G-code Sender, thus enabling the microcontroller to direct the rotation of motors and coordinate the movements of the end effector so as to engrave the board design on to a copper clad.
Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization
Authors: Sethuraman Ram , Havalgi Akshay
Published: April 2019

The concept of deep learning is used in the various fields like text, speech and vision. The proposed work deep neural network is used for recommender system. In this work pair wise objective function is used for emphasis of non-linearity and latent features. The GMF (Gaussian matrix factorization) and MLP techniques are used in this work. The proposed framework is named as NCF which is basically neural network based collaborative filtering. The NCF gives the latent features by reducing the non-linearity and generalizing the matrix. In the proposed work combination of pair-wise and point wise objective function is used and tune by using the concept of cross entropy with Adam optimization. This optimization approach optimizes the gradient descent function. The work is done on 1K and 1M movies lens dataset and it is compared with deep matrix factorization (DMF).
Efficient Energy Management and Grid Interconnection of Solar PV System
Authors: Mehta Shivinder , Ilahi Bakhsh Farhad , Neetan Sharma Neetan
Published: April 2019

With the increasing concerns on environment and increasing emission of greenhouse gases, we need to reduce the energy required to provide necessary products and services essential for ease of living by implementing efficient use of energy. Also we need to shift towards more clean and green forms of energy. Sun is the ultimate source of energy and its energy reaching at Earth's surface is about 10000 times greater than what we are consuming presently. Solar and wind remains in the top list of clean and green energy.Solar energy harnessed by Multifunctional photovoltaic converters (MPVC) are getting popular now a day as, it combines the advantages of inverters connected to the network (grid-tie inverter) and off-grid type inverter, as well as Uninterruptable Power Supplies (UPS). Grid tie inverter simply feeds the excess power generated to the grid with full utilization of solar panels.
Perseverance to the Quandaries of Sustainable Development
Authors: Lakshmi Surabhi , . Azara
Published: April 2019

The paper demonstrates that condition is one of the fundamental open property of a human framework and consequently, it must be exclusively kept. As per our present mindfulness, the manageability is basic for every single human framework and it is important to raise the economic advancement standards in all human framework property. Reasonable improvement is characterized as advancement that addresses the issues of the present without bargaining the capacity of future eras to address their own issues. The paper accentuation on the variables influencing supportable improvement, conditions for maintainable advancement, strategies and procedures to take care of the ecological issues and the assignments of official administration in the natural segment.
Estimation of Optimum Rendezvous Point for Mobile Sink (ORP-MS) in WSN
Authors: Vimal Vrince , J Nigam Madhav
Published: April 2019

Clustering of the sensors in wireless sensor network is done to achieve energy efficiency. The nodes, which are unable to join any cluster, are referred to as isolated nodes and tend to transfer information straight to the base station. It is palpable that isolated nodes and cluster heads communicate with the base station and tend to exhaust their energy leaving behind coverage holes. In this paper, we propose the innovative clustering scheme using mobile sink approach to extend networks lifetime. The proposed (ORP-MS) algorithm is implemented in MATLAB 2017a and the results revealed that the proposed algorithm outdid the existing algorithms in terms networks lifetime and energy efficiency simultaneously achieved high throughput.
Coagulation Attacks over Networked UAVs: Concept, Challenges, and Research Aspects
Authors: Sharma Vishal , Nalin K. Jayakody Dushantha , Srinivasan Kathiravan , Kumar Ravinder
Published: April 2019

Unmanned Aerial Vehicles (UAVs) have grasped an important role in the modern day networking. A lot of applications are being developed using aerial vehicles as a pivot. These vehicles provide a vast range of support to modern day networks. Modern computing applications such as Urban Computing, Internet of Things, Ubiquitous Computing, and the Internet for All have sought applications of UAVs to attain complex tasks. However, securing aerial vehicles in a network is not an easy task because of the difference in communication standards and range of applicability. Aerial nodes are prone to various types of attack in a network such as Sybil attack, wormhole attack, sinkhole attack, or impersonation attack. These attacks lead to a large number of vulnerabilities causing fatal incidents. A new attack is introduced in this paper termed as "Coagulation Attack". This term is derived from the clotting properties of fluids. This paper introduces the concept, issues, challenges, and research aspects of coagulation attack. A simulation study is also presented that shows the impact of such attacks over networked UAVs.
Classification of Land Use/Land Cover Changes Using GIS and Remote Sensing Technique in Lake Kenyir Basin, Terengganu, Malaysia
Authors: Khairul Amri Kamarudin Mohd , Abdulkadir Gidado Kabir , Ekhwan Toriman Mohd , Juahir Hafizan , Umar Roslan , Abd Wahab Noorjima , Ibrahim Salisu , Awang Suriyani , Nizam Abdul Maulud Khairul
Published: April 2019

Geographical information system (GIS) techniques and Remote Sensing (RS) data are fundamental in the study of land use (LU) and land cover (LC) changes and classification. The aim of this study is to map and classify the LU and LC change of Lake Kenyir Basin within 40 years’ period (1976 to 2016). Multi-temporal Landsat images used are MSS 1976, 1989, ETM+ 2001 and OLI 8 2016. Supervised Classification on Maximum Likelihood Algorithm method was used in ArcGIS 10.3. The result shows three classes of LU and LC via vegetation, water body and built up area. Vegetation, which is the dominant LC found to be 100%, 88.83%, 86.15%, 81.91% in 1976, 1989, 2001 and 2016 respectively. While water body accounts for 0%, 11.17%, 12.36% and 13.62% in the years 1976, 1989, 2001 and 2016 respectively and built-up area 1.49% and 4.47 in 2001 and 2016 respectively. The predominant LC changes in the study are the water body and vegetation, the earlier increasing rapidly at the expense of the later. Therefore, proper monitoring, policies that integrate conservation of the environment are strongly recommended.
Evaluation of Annual Sediment Load Production in Kenyir Lake Reservoir, Malaysia
Authors: Khairul Amri Kamarudin Mohd , Abd. Wahab Noorjima , Fadhli Mamat Ahmad , Juahir Hafizan , Ekhwan Toriman Mohd , Firdaus Nik Wan Nik , Marcus Ata Frankie , Ghazali Adiana , Anuar Atikah , Hafiz Md Saad Muhammad
Published: April 2019

Kenyir Lake’s natural environment experienced significant changes over the past 20 years. Pressure from anthropogenic activities such as deforestation, construction, and sand mining around Sungai Terengganu, tourism, farming and agricultural has creating imbalance between environmental processes and response in Kenyir Lake. The aim of the study is to estimate the production of sediment yield (Muatan Sedimen) (MS) (tonnes/km2/year) in Kenyir Lake Basin. 21 sampling stations were chosen along Kenyir Lake to represent the upstream and downstream. The statistical analysis proved that the correlation and regression relationship between Total Suspended Solid (TSS), MS and area of catchment. MS showed a weak correlation and insignificant relationship of regression caused by the anthropogenic factors and uncertain climate changes. These sedimentation problems due to unsustainable land use changes, river bank erosion problems and active construction activity around the Kenyir Lake Basin. This study suggests the sedimentation management methods including land use settlement, cliff erosion problems, settlement and negotiable of uncontrolled development operations in Kenyir Lake and the integrated of river and lake management methods based on Integrated River Basin Management (IRBM) in Kenyir Lake Basin is recommended.
Flood Risk Pattern Recognition Using Chemometric Techniques Approach in Golok River, Kelantan
Authors: Nur Amyliyana Wan Faizurie Zaidee Wan , Shakir Mohd Saudi Ahmad , Khairul Amri Kamarudin Mohd , Ekhwan Toriman Mohd , Juahir Hafizan , Fahmy Abu Izuddin , Mahmud Nur Zahidah Shafii Muaz , Nizam Khairul , Elfithri Rahmah
Published: April 2019

This study was implemented to evaluate the flood risk pattern recognition in Golok River, Kelantan. Based on Spearman correlation test, it showed that water level and suspended solid was very strong and significant (p < 0.0001). There was also a weak correlation of coefficient of stream flow and rainfall with the changes of water level as the p-value close to 1. Suspended solid has strong corresponded in changing the rate of water level, as it described the rate of surface run-off that flowed into the water body. However, the risk of flood in study area is irrelevant to the monsoon season. Principle Component Analysis (PCA), the most sensitive parameters that contribute to the flood occurrence were identified with variability R2 value of 0.812 and 0.764. Expansion and development by human activities contribute to the incline of stream flow and suspended solid in Golok River. Based on Statistical Process Control (SPC), water level of all parameters exceeded the Upper Control Limit (UCL), considered as high risk and vulnerable for flood and it is mostly due to man-made activities. It was not deniable that monsoon season played role in contributing flood occurrence as parameters of rainfall and water level have moderately positive factor loading.
The Peseudo-Static Displacement Calculation of Reinforced and Unreinforced Soil Walls in Frictional Cohesive Soils Using Horizontal Slices Method
Authors: Ahmadabadi Mojtaba , Bahrami Maryam , Taheri Zari , Mardani Samaneh
Published: April 2019

Horizontal slices method is a simple and efficient tool for analysis of retaining walls. In this paper, using some of the principles of equilibrium and horizontal slices method, an analytical approach is presented to determine the displacement of concrete walls in the reinforced and unreinforced soils. The formulation of the so-called method is able to calculate wall displacement and critical wedge angle displacement for frictional cohesive soils and draw the distribution of displacement in the wall height. Based on the proposed method, a simple equation is presented to calculate the wedge angle of rupture in the frictional cohesive soils in seismic condition. Comparison of the results with previous methods and numerical methods shows that horizontal slices are able to analyze the concrete wall displacement, while the proposed method has the advantage of analyzing walls via considering soil parameters such as adhesion, seismic coefficients, and the number of reinforcements. In contrast with previous methods that ignored the cohesion concrete wall characteristics, the offered method considers all wall and soil parameters. In addition, design charts are presented for different soils and walls. Considering wall displacement, maximum displacement of wall, displacement of wall apex, and maximum place of wall displacement are obtained, revealing that critical wedge angle displacement is different from rupture wedge angle of pressure imposed on wall.
SWOT Analysis as an Effective Tool for Identification of the Strengths and Weaknesses of the State's Financial Security System
Authors: Nikolaevich Dudin Mihail , Dmitrievna Burkaltseva Diana , Georgiyevich Blazhevich Oleg , Viktorovich Betskov Aleksandr , Fedosovich Gaponenko Vladimir , Shapievich Kilyaskhanov Hizri , Sergeevna Safonova Natalia
Published: April 2019

Subject/theme. SWOT analysis of the financial security of modern Russia is carried out herein to identify the prospects for the improvement of the financial security at the macrolevel.Purpose/objectives. The purpose of the article is to analyze the financial security of the state through the example of Russia. To achieve the purpose hereof, it is required to solve the following tasks:To provide the SWOT analysis matrix of the financial security of the Russian Federation.To determine the influence of the strengths on the opportunities and threats to the financial security of the Russian Federation.To determine the influence of the weaknesses on the opportunities and threats to the financial security of the Russian Federation.To quantify the elements of SWOT analysis.To identify the current threats to the financial security of the Russian Federation.To propose the measures to reduce the threats and to improve the level of financial security of the Russian Federation.Methods. The most common and high-quality strategic planning instrument – the SWOT analysis method – is used herein.Results.The imposition of anti-Russian sanctions made it possible to identify the problematic areas of the state, which are a threat to the financial security of the Russian Federation.The following can be identified as the current threats to the financial security of the Russian Federation: the outflow of domestic capital abroad and offshore; the quantitative restriction of money supply when issuing rubles for the growth of foreign exchange reserves; a high level of external public debt; high tax burden on business; weak investment activity and a slowdown in the rate of foreign investment; the instability of the banking system.Despite the considerable pressure from foreign countries, the Russian Federation is taking measures to neutralize the external threats to national security, reducing the possibility of external influence on its international position.Conclusion/relevance.SWOT analysis of the financial security of the state shows that the strengths prevail in the Russian Federation, but there are many weaknesses and external threats. In the aggregate, the field of strengths and opportunities prevails over the field of weaknesses and threats. Consequently, the Russian Federation has the prospects for development, but for further development the strength should be used to neutralize the threats.
Antioxidant System and its Functioning in Animal Organisms
Authors: R. Fatkullin R , A. Ovchinnikov A , M. Ermolova E , V. Matrosova Y , A. Chulichkova S
Published: April 2019

According to the opinion of F. Z. Meyerson, one of the main reasons for disruption of organs' plastic functions under stress is insufficient intake of substrates and cofactors required for synthesis of nucleic acids and protein, as well as partial or complete fasting. In the first stage, according to the author, activity of amino acids’ gluconeogenesis and transamination enzymes increases through the neurohumoral effect, which is the reason of reduced synthesis of protein and transformation of amino acids into glucose, i.e. plastic resources of the organism, its structural proteins, and energy resources in particular, are transformed.
Blockchain Technologies as A Stimulator of Institutional Transformations of the World Financial System
Authors: Yuryevich Kussy Mikhail , Viktorovna Pobirchenko Viktoriya , Alekseevna Shutaieva Elena , Yuryevich Kakutich Yevgeny
Published: April 2019

This paper briefly presents the recent problems of the world financial system. The analysis of indicators of blockchain technologies has been carried out; their attractive aspects and disadvantages are singled out. Some potential possibilities of using blockchain technologies in various fields of activity are considered. Particular attention is paid to the prospects of application of blockchain technologies in the world financial system, which will allow solving a number of problems of the world financial system itself. The issues (including those of regulatory and institutional nature and predictable social strain as well) that people can face when implementing blockchain technologies in their everyday life, have been noted. The institutional changes in the world financial system that could appear after implementation of blockchain technologies are highlighted.
Agricultural Insurance with State Support in Russia in the Conditions of Uncertainty and Risk
Authors: Konstantinovna Ulibina Lubov , Alekseevna Okorokova Olga , Borisovich Turaev Yuri , Antsasovna Rusetskaya Elvira , Vladimirovna Il'ina Tatiana
Published: April 2019

The relevance of the topic of the research is determined by the necessity to implement insurance as a method to control agricultural risks in order to increase the financial stability of agricultural producers in the conditions of high uncertainty of natural and climatic conditions.Insurance as a means to stabilising risks in the agrarian sphere enables not only to compensate for the losses connected with the loss of agricultural products but also to protect the producers from possible bankruptcy, to enhance the predictability of financial outcomes of activities. The authors put the greater emphasis on the underlying factors influencing the formation and dynamics of crucial indicators of agricultural insurance with state support compared to Russian and foreign experience. The sectoral analysis of was carried out, the peculiarities of implementing instruments of agricultural insurance in terms of federal districts and insurance institutions were revealed, provisions on innovative programmes were developed in order to improve agreements between actors for strengthening agricultural producers’ activities.