bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanical failure of the Aircraft Landing Gear using Fuzzy Cognitive Mapping.
Authors:   Mathematics Department, Hindustan Institute of technology and science, Chennai ,india, Rajkumar A. , Krishna Pinnam shetty vamshi ,   Aero Department ,UG –Btech Student, Hindustan Institute of technology and science, Chennai ,india, Sekhar Doddala guna ,   Aero Department ,UG –Btech Student, Hindustan Institute of technology and science, Chennai ,india
Published: October 2019

One of the most Important Components in the Entire aircraft is the Landing Gear. In the recent years there has been many incidents were the landing gear has failed both mechanically and also due to pilot's intervention. Taking only the mechanical cau
Slate Rock Mines: from formation to Extraction
Authors:   Department of Architecture, Vellore Institute of Technology, Vellore, India&Vittorio GregottiAssociati, Milan, Italy., Ghida D. Ben
Published: October 2019

Slate rock has been analyzed for more than 170 years and was among the first geological features to be used in a number of countries such as Spain, France, Wales, North America and Brazil. Early observations recognized the importance of slate into th
Impact of Acquisitions on Financial Performance of Selected Softwarecompanies in India
Authors:   Assistant Professor, KL Business School, KLEF, Vaddeswaram, Guntur District, AP. India, Balaji Dr.Ch. , Kumar Dr. K. S. Venkateswara ,   Assistant Professor, KL Business School, KLEF, Vaddeswaram, Guntur, AP. India, Devi Ms. G. Lalitha ,   MBA Students at KL Business School, KLEF, Vaddeswaram, Guntur District, AP India, Pravallika Ms. S. ,   MBA Students at KL Business School, KLEF, Vaddeswaram, Guntur District, AP India, Harika Ms. K. ,   MBA Students at KL Business School, KLEF, Vaddeswaram, Guntur District, AP India
Published: October 2019

The objective of the study is to examine the impact of Acquisitions on financial status of selected software companies in India. This study is based on Infosys, Panaya, CMC and TCS companies. It also estimates the pre and post-acquisition financial p
Photoluminescence Characteristics of Chemically Synthesized Ag Doped Zns Nanoparticles
Authors:   Research Scholar, Nanotechnology Department, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India., Gandha Pinal , Chavan Sachin ,   Professor, Mechanical Engineering Department, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India., Shaikh Israr ,   Assistant Professor, Basic Science and Humanities Department, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India.
Published: October 2019

The study of group II-VI semiconductor nanomaterials have shown widespread interest due to their potential application. Amongst this group, Zinc sulfide (ZnS), which has further improved optical or magnetic properties when doped with one or more tran
What Makes More Positive Thinking and Implementation towards Green and Environment Sustainable Practices: an Observation among Selected Star Hotels from Chennai using Multiple Regression Model
Authors:   Research Scholar, Department of Tourism &, Sangeetha R. ,   Hospitality Management, Bharath University, Chennai, Rebecca Jeyanthi ,   HOD, Department of BIO TECHNOLOGY, Bharath University, Chennai
Published: October 2019

Green and energy saving practices are in the increasing trend in order to preserve the natural environment and to meet the expectations and desires of green consumers. The purpose of this study is to assess the role of independent factors on adoption
A Modified Square Patch Antenna with Rhombus slot for High bandwidth
Authors:   Ph.D., Deprtment of Electrical, Electronics and Communication Engineering. Apollo Engineering College, Chennai, India., Prabhu Dr. M.Ramkumar , Kumar Dr.J.R.Arun ,   Asst.professer in faculty of Computing and Software Engineering, Institute of Technology,ArbaMinch University ,Ethiopia,, Rajlingam Dr. A. ,   Ph.D., Deprtment of Electrical, Electronics and Communication Engineering. Apollo Engineering College, Chennai, India., Anusuya Dr.R. ,   Ph.D, Deprtment of Computer Science and Engineering. Ethiopia
Published: October 2019

In this the proposed patch antenna operates at 32 GHz which is among the projected 5G communication frequencies and has a novel geometry with rhombus-shaped slots. The first design in this work is a inset fed used conventionally in patch antenna. It has a quarter wavelength impedance matching line. The dimensions are determined according to the usual design considerations. Low return loss and high bandwidth requirements motivates us to modify the antenna design. Therefore, we add rhombus – shaped slots on the patch which leads to an additional increase in the system bandwidth as much as 52 MHz and a reduction in the return loss level up to 11.241 dB. The proposed patch antenna design is conjectured to be a suitable candidate to address the requirements of 5G communication systems. The operating frequency of the proposed antenna can be tuned by changing the geometrical dimensions from microwave to the THz region.
Innovation Design Roughness on Slope to Reduce Storms at Curved Seawall in Canggu Beach Bali
Authors:   Civil Engineering Department, University of Diponegoro, Semarang, Indonesia., Nalarsih  , Yuwono Nur ,   Civil Engineering Department, University of Gadjah Mada, Semarang, Indonesia., Darsono Suseno ,   Civil Engineering Department, University of Diponegoro, Semarang, Indonesia.
Published: October 2019

Seawall or revetment has been designed to preserve coastline erosion from waves. The seawall system or revetment could protect againstpowerful wave, reduce hydraulic power in underring material and constribute to wave reflection. The result of survey show that seawall system have to be repeatedly observed to maximize seawall action to produce a modification of seawall design.In this research, hydrodinamic seawall action is conducted by employing its curve, slope and roughness. It is investigated by using physical modeling in 2D Laboratory of Coastal Dynamics Institute Yogyakarta, Indonesia. Type of wave used in this study is Regularwave within one period of time. Wave experiment is examined in 30° of its slope, constant water depth is0.4 m and roughness on its slope using two types of sequential block position and zig zags. This research results in the significant Reflection Coefficient (Kr) which is 0.141 produced by design 1 compared to the previous research is 0.16923. Therefore, it can be concluded that design 1 is more reliable in reducing reflection wave.
Design and Analysis of Cascode LNA for 60 GHz Wireless Applications
Authors:   Research Scholar, Department of ECE, M. S. Engineering College, Bengaluru, India, Chikkanagouda Rajendra , Raj P. Cyril Prasanna ,   Senior Member, IEEE, Dean (R & D), M. S. Engineering College, Bengaluru, India
Published: October 2019

Design methodology and analysis of a 60GHz-band Low Noise Amplifier (LNA) is presented in this paper. The LNA has been designed and simulated using source degenerated cascode topology in 90 nm CMOS for operation at 60 GHz. The structured LNA is minimized for its area with 50%. The designed LNA is computed with ADS and is verified its functionality in terms of Noise Figure (NF), Gain, Linearity, Power dissipation and Stability. The designed LNA uses 12 mW of dc power from a 1.5 V supply with 16.3 dB gain and a NF of 3.5 dB at 60 GHz. The designed LNA is unconditionally stable and has IIP3 of -9 dBm with FoM of 15.
Design of Management Information System At Bersama Maju Clinic, Web-Based
Authors:   Information System Study Program, Victory University Sorong, West Papua, Indonesia., Manuhutu Melda Agnes , Uktolseja Lulu Jola ,   English Study Program, Victory University Sorong, West Papua, Indonesia., Program Tagor Manurung Management Study ,   Victory University Sorong, West Papua, Indonesia., Gaspersz Sherly ,   English Study Program, Victory University Sorong, West Papua, Indonesia., Manuhutu Abraham ,   Electronic Study Program, State Polytechnic Ambon, Maluku, Indonesia.
Published: October 2019

Bersama Maju Clinic, located in Basuki Rahmat is one of the clinics with a lot of public interest. In the patient registration, management process, patient data are still recorded in the archives or paper documents, so that if the archive is lost, there is no replacement. Data accumulation often occurs, so it is relatively long in the data search process and the process of making the report. Data redundancy often occurs, data recording that repeatedly causes duplication of data so that the capacity needed to swell and service becomes slow, heaps of filing so that it requires a large filing area. Then there was also an irregular patient registration due to human error, the admin forgot that the patient had registered beforehand so that he was given a new queue number. This research was conducted to design and implement an information system that can provide comfort, speed and ease of service to patients who come to the clinic. The system development model used is the prototype model. The design of system models used unified modeling language diagrams (UML) including use case diagrams. The flowchart drawn by the Visio 2010. By building interfaces using Adobe Dreamweaver CS6. The database is stored using PHP and displayed via XAMMP. This system is also built with a system framework that is bootstrap.
Finding Flood Survivors During Rescue Operations by Applying Deep Learning Technique on Aerial Radiometric Thermal Imaging
Authors:   CSE, Lingayas Vidyapeeth Faridabad, India, Nasim Mohammad , Ramaraju GV ,   Lingayas Vidyapeeth Faridabad, India
Published: October 2019

During search and rescue operations in flood disaster, application of deep learning on aerial imaging is pretty good to find the humans when the environmental conditions are favorable and clear but it starts failing when the environmental conditions are adverse or not supporting. During our findings we realized that generally rescue teams stop their rescue work in night time because of invisibility .When orientation of sun comes at front, the drone aerial picture quality starts decaying. It does not work in different types of fog. Also it is difficult to find people when they are somehow hidden in vegetation. This study explains about infrared cameras potentially very useful in disaster management especially in flood [6]. It takes deep learning networks that were originally developed for visible imagery [1], [2] and applying it to long wave infrared or thermal cameras. Most missions for public safety occur in remote areas where the terrain can be difficult to navigate and in some cases inaccessible. So the drone allows you to fly high above the trees see through gaps of foliage and locate your target even in the darkness of night through thermal cameras and then applying deep learning techniques to identify them as human. Creating accurate machine learning models capable of localizing and identifying human objects in a single image/video remained a challenge in computer vision but with recent advancement in drone, radiometric thermal imaging, deep learning based computer vision models it is possible now to support the rescue team to a bigger extent.
Enhancing the Performance of Large-scale Profitable Itemset Mining using Efficient Data Structures
Authors:   SCSE, Vellore Institute of Technology, Chennai,, A Muralidhar , Ashwinikumar Aditya ,   Sathe2, SCSE, Vellore Institute of Technology, Chennai,, V Pattabiraman ,   SCSE, Vellore Institute of Technology, Chennai,
Published: October 2019

The process of extracting the most frequently bought items from a transactional database is termed as frequent itemset mining. Although it provides us with an idea of the best-selling itemsets, the method fails to identify the most profitable items from the database. It is not uncommon to have minimal intersection between frequent itemsets and profitable itemsets, and the process of extracting the most profitable itemsets is termed as Greater Profitable Itemset (GPI) mining. There have been various approaches to mine GPI in which [7] proposed a two-phased algorithm to optimize regeneration of GPI when the profit value of any item changes. This constituted of keeping track of the pruned items in the first phase and using it to efficiently regenerate GPI in the second phase. This paper proposes an enhancement to the way these changes are tracked by storing the pruned itemsets according to their constituent items, unlike the earlier algorithm that stored records iteration wise. By storing the itemsets according to their constituent items, we make sure that only the required items are being retrieved. In contrast, the earlier algorithm would fetch all the items pruned in any iteration, regardless of its relevance. By fetching only relevant itemset, the proposed method would significantly bring down the computational requirements.
Experimental Analysis on Processing of Unbounded Data
Authors:   Department of Information Technology, CSPIT, CHARUSAT, Changa, Anand, Gujarat, India., Bhatt Nirav , Thakkar Dr. Amit ,   Department of Information Technology, CSPIT, CHARUSAT, Changa, Anand, Gujarat, India.
Published: October 2019

Processing of unordered and unbounded data is the prime requirement of the current businesses. Large amount of rapidly generated data demands the processing of the same without the storage and as per the timestamp associated with it. It is difficult to process these unbounded data with batch engine as the existing batch systems suffer from the delay intrinsic by accumulating entire incoming records in a group prior to process it. However windowing can be useful when dealing with unbounded data which pieces up a dataset into fixed chunks for processing with repeated runs of batch engine. Contrast to batch processing, stream handling system aims to process information that is gathered in a little timeframe. In this way, stream data processing ought to be coordinated with the flow of data. In the real world the event time is always skewed with the processing time which introduce issues of delay and completeness in incoming stream of data. In this paper, we presented the analysis on the watermark and trigger approach which can be used to manage these unconventional desires in the processing of unbounded data.
Enhancing Cell Throughput & Area Spectral Efficiency Using Two Level Soft Frequency Reuse Technique
Authors:   M.Tech Student, Department of Electronics & Communication Engineering, National Institute of Technical Teachers Training & Research, Chandigarh, India, kaur Baljot , Saini Garima ,   Assistant Professor, Phd persuing, Department of Electronics & Communication Engineering, National Institute of Technical Teachers Training & Research, Chandigarh, India
Published: October 2019

Heterogeneous networks consist of different characteristics of networks like small cells having low power deployed along with macro cells having high power. Interference is the major issue to degrade the quality of signal in the heterogeneous networks. Number of interference coordination techniques are implemented to minimize interference. One of the interference coordination technique is fractional frequency reuse (FFR) and soft frequency reuse (SFR). In this paper two level Soft Frequency Reuse technique is implemented along with sectors. Parameters such as area spectral efficiency and cell edge throughput are calculated and compared with conventional FFR and Multi-level FFR technique with 6 sectoring. Better results are analyzed while simulating in the network model. Cell edge throughput improved to 54 Mbps, average cell throughput improved to 667 Mbps, peak data throughput improved to 76.7 Mbps and area spectral efficiency improved to 70.3 bits/sec/Hz/cell.
An Improved Method for Degraded Image through Region Based Adaptive Binarization
Authors:   PG Scholar, Department of Electronics and communication Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India, Raj M C Prudvi , Venkataramanan C. ,   Centre for Communications and Signal Processing,Sree Vidyanikethan Engineering College, Tirupathi, India
Published: October 2019

In this paper a New Binarization technique has been proposed for the image had not uniformly illuminated due to the degradation that may be caused due to the Image corrupted by Noise ,smear etc. Which leads to the poor quality of the image .To overcome from these, Pre processing that performs the certain operations for the degraded image by using Region Based Approach which uses the Global, Local thresholding for the image analysis .The Ni-Black method had been used for the enhancment of the Image.The Enhanced Ni-Black has can be used in the documents and images that had affected with uncertain transtion interms of pixels, Intensity Values.The experimental results are shown in terms of the Accuracy, and the Processing speed which gives the better performance than the previous method.
Analysis of classification methods suitable for band limited spatially filtered EEG signal applicable to non-invasive BCI
Authors:   Electronics and Telecommunication, Sinhgad College of Engg., Pune, India., Ganorkar Sanjay R. , Raut Vrushali G. ,   Electronics and Telecommunication, Sinhgad College of Engg., Pune, India.
Published: October 2019

Electroencephalographic (EEG) signals are the preferred input for non-invasive Brain-Computer Interface (BCI). Efficient signal processing strategies, including feature extraction and classification, are required to distinguish the underlying task of BCI. This work proposes the optimized common spatial pattern(CSP) filtering technique as the feature extraction method for collecting the spatially spread variation of the signal. The bandpass filter (BPF) designed for this work assures the availability of event-related synchronized (ERS) and event-related desynchronized (ERD) signal as input to the spatial filter. This work takes consideration of the area-specific electrodes for feature formation. This work further proposes a comparative analysis of classifier algorithms for classification accuracy(CA), sensitivity and specificity and the considered algorithms are Support Vector Machine(SVM), Linear Discriminant Analysis(LDA), and K-Nearest Neighbor(KNN). Performance parameters considered are CA, sensitivity, and selectivity, which can judge the method not only for high CA but also inclining towards the particular class. Thus it will direct in the selection of appropriate classifier as well as tuning the classifier to get the balanced results. In this work, CA, the prior performance parameter is obtained to be 88.2% sensitivity of 94.2% and selectivity 82.2% for the cosine KNN classifier. SVM with linear kernel function also gives the comparable results, thus concluding that the robust classifiers perform well for all parameters in case of CSP for feature extraction.
Over/Under Voltage Tripping Circuit for Distributed System Load with GSM alert using Microcontroller
Authors:   Assistant Professor, Electrical Engineering Department, Jamia Millia Islamia University, New Delhi, India, Singh Rajveer , Kumar Rajendra ,   Rebecca, Associate Professor, Computer Science Department, Jamia Millia Islamia University, New Delhi, India, Shabbir Hamzah ,   Abdullah Zahid Student, Electrical Engineering Department, Jamia Millia Islamia University, New Delhi, India
Published: October 2019

This paper introduces microcontroller based over voltage and undervoltage protection of domestic appliances and monitoring them through GSM. It starts with the importance of using micro controller in controlling voltage condition, it covers up the aspects why this method of protection is better and simpler than conventional method. We used ATmega32 microcontroller and Sim 900A GSM module to get the status of the supply voltage, be it the time of tripping or at any instant by sending specific text to GSM module. We have also added LCD to get voltage value at any time and status during abnormal condition. There is a limit set for a range of voltage that would be considered normal working condition. Microcontroller will check this condition and trip load if it does not satisfy. Under voltage and overvoltage are one of the major issues prevailing at domestic level that can affect electrical appliances. This method of protection can curb this issue significantly.
Implication of Wireless Power Transfer for low Power Appliances
Authors:   Department of Electrical Engineering SUKKUR IBA University, Sindh Pakistan., Akbar Ghulam , Shah Syed Sabir Hussain ,   Department of Electrical Engineering SUKKUR IBA UNIVERSITY, Sindh Pakistan., Shaikh Hafsa ,   Department of Electrical Engineering SUKKUR IBA University, Sindh Pakistan, Murtaza Salman ,   Department of Electrical Engineering SUKKUR IBA University, Sindh Pakistan., Shah Alamdar ,   Department of Electrical Engineering SUKKUR IBA University, Sindh Pakistan.
Published: October 2019

The conventional method of wired charging system isn’t portable. The units must be connected to power plugs in order to function or to charge. Moving the units require time, energy, space and staff which makes the process quite difficult as well as expensive. The system arrangement can limit the options for users and the equipment placement. Wires can be damaged in case of faults, electrical surges or storms whereas the wireless units can be unplugged in any abnormal conditions. The core of this project is to design a system for a wireless power transfer; the wireless power transfer was acknowledged by Nikola Tesla. Wireless power transfer brings a remarkable change in the field of the electrical engineering which knockout the issue of conventional copper cable and current holding wires. It can be used for charging the battery of electric vehicle, charging the battery of mobile, in medical equipment, running the DC fans and other DC loads. In this project we transfer the power wirelessly and run a 12V DC fan and a CFL bulb.
The Organization of Emergency and Dispatching Servicing of an Apartment House
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Smirnova Z. V. , Vaganova O.I. ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Cherney O.T. ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Romanovskaya E.V ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Andryashina N.S. ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Toshin D.S. ,   Federal State Budgetary Educational Institution of Higher Education «Togliatti State University», Togliatti, Russian Federation.
Published: October 2019

Under modern conditions of economic development, every manufacturing enterprise should establish fail-safety production, the teamwork of workshops, implementation of plans and forecasts to achieve the maximal effect and earn the maximal profit.A violation of the normal view of a production process can be possible in any, even well-organized enterprise. This results in the need for overcoming these deviations and continuously bringing the production into a state corresponding to the planned schedule.The possibility of the quick and effective overcoming of deviations from the normal production progress mainly depends on the promptitude of the information on the production state as well as on the production centralization and management.
Data Smoothing Numerical Methods and Their Applications in Unsupervised Learning for Prediction of Diabetes in Patients
Authors:   PhD (pursuing) in Computer Sciences, Barkatullah University, Bhopal. MCA from RGPV University, Bhopal, Soni Satish Kumar , Thakur Dr. Ramjeevan Singh ,   Associate Professor(MCA), MANIT, Bhopal,, Gupta Dr. Anil Kumar ,   Dept., of Computer Science & Applications Barkatullah University, Bhopal,
Published: October 2019

Machine Learning in its fullest can provide much more accurate and enhanced analysis for medical diagnosis. In this paper we are trying to portray how the data related to diabetes can be used to predict if a person has diabetes or not. In more specific way this paper will explore the utilization of numerical methods smoothing with unsupervised learning to predict the early signs of disease like diabetes and rest.
Digital Leadership Among School Leaders in Malaysia
Authors:   educational lecturer from Universiti Utara Malaysia., Yusof Mat Rahimi , Yaakob Mohd Faiz Mohd ,   is a Senior Lecturer at the School of Education and Modern Languages, College of Arts and Sciences, Universiti Utara Malaysia., Ibrahim Mohd Yusri ,   Senior Lecturer from Universiti Malaysia Terengganu (UMT).
Published: October 2019

In line with the rapid development of IR 4.0, school leaders need to seize the opportunity to transform them by integrating technology in leadership style. Hence, this study is aimed at developing a measurement model and identifying the functions and behaviors of the digital leadership of the school leaders. Using the SEM AMOS analysis, a questionnaire collected from 352 primary and secondary school principals.The confirmatory factor analysis (CFA) was carried out in ascertaining the proposed factor. The finding succeeded in developing a digital leadership measurement model. The findings also identified two dimension, nine functions and 42 behaviors practiced by principals in digital leadership practice. These two dimensions are communication and school climate, while nine functions include virtual meetings, virtual discussions, virtual information sharing, online file sharing, virtual communication, virtual teaching and learning supervision, virtual monitoring of students’ performance, virtual promotion of development and professionalism and virtual promotion of school’s goals.
Metric to determine language complexity using dictionary Method percentage retrieval
Authors:   Dept.of IT, MJCET, Hyderabad, India, Pal Dr Devasish , Raju Dr N V Ganapathi ,   Dept.of CSE, GRIET, Hyderabad, India, Pal Mr Gautam ,   Security Lead, Intelematics, Melbourne, Australia
Published: October 2019

For communication through computer network, previously only English language using ASCII mode was used. Subsequently when Unicode was introduced, computer communication became a possibility for all language texts. This aspect generated interest in the field of language processing. Various studies have been carried out on language processing and its complexity issues. Various metrics were used to determine language complexity such as lexical density, morphological density, semantics etc. but there was no consistency in results. A language which appears most complex using one metric does not appear the same using other metric. This paper introduces a new metric to determine the complexity of a language which is consistent and with proven results. It introduces the concept of network security where using dictionary method, the percentage retrieval of an encrypted text is calculated using an encryption algorithm, fixed length key, fixed corpus size etc. Lesser is the percentage retrieval, greater is the security and language complexity. Comparison has been made with the results on language complexity independently carried out on various Indian languages by the research scholars of Central University, Hyderabad based on Morphological and lexical density. Pattern observed on their eight Indian languages by the research scholars of Central University and the percentage retrieval on the same Indian languages in my work are identical which proves my work. Hence it can be concluded that lesser is the percentage retrieval, security increases for the sample text data considered and proportionately the complexity of that particular language increases Sample data encryption has been carried out using substitution method.
A Secure Internet of Things based Smart Monitoring System
Authors:   Computer Science and Engineering, International Institute of Information Technology(IIIT), Bhubaneswar, India., Mohanta Bhabendu Kumar , Jena Debasish ,   Computer Science and Engineering, International Institute of Information Technology ( IIIT), Bhubaneswar, India
Published: October 2019

Internet of Things (IoT) is a connection of interconnected any things deployed in different applications. The IoT is emerging as a technique for real-time monitoring the environment like Earthquake early detection. Snow level monitoring, forest fire detection, Gas level monitoring in a Smart Kitchen. IoT based sensor network need secure communication, processing, analytics and transient storage for better monitoring of smart environments. In this article, the authors proposed a secure framework for data collection and further processing from the sensors network to the core of the network using Fog-Cloud based architecture. The paper implemented the proposed framework taking different sensors deploy in an IoT based smart kitchen environment. For experimental purpose, Raspberry Pi used as a fog node and local cloud server to monitor the environment in real-time, SQLite is used as buffer storage. The experimental setup and result show that the proposed framework is secure to monitoring in a sensor network.
Territory as a Feature of the State in Terms of Modern Public Relations Development
Authors:   Sevastopol State University, Sevastopol, Russia., NikolaevichKoval Vladimir , Vasilev Stanislav Aleksandrovich ,   Sevastopol State University, Sevastopol, Russia., Zenin Sergei Sergeevich ,   Kutafin Moscow State Law University (MSAL), Moscow, Russia; South Ural State University (national research university), Chelyabinsk,Russia.
Published: October 2019

The rapid development of social relations is currently leading to the transformation of many traditional legal tenets. Thus, public relations appear in the virtual space, cities can play a more significant role than the nation-state itself, and the design of the construction is often more expensive than the process of construction. These and many other things bring about the circumstances when the state, having its sovereignty, does not primarily take into account its territory to protect its own interests, as well as the emergence of new legal relations occurs without the usual binding to the territory. The purpose of this study is to assess the viability of the territory as one of the key characteristics of the state, taking into account the transformation of social relations under the modern conditions. The research attempts to understand the territory as a feature of the state with the latest trends in the development of social relations. To achieve this goal, modern scientific literature on the issue was analyzed to provide the assessment of the experience of new territory formation establishing new public relations and virtual space. It also provides an analysis of cross-border relations, carried out by both individuals and large commercial organizations. In order to develop an adequate legal doctrine, the methods of implementing the organizational and commercial activities of some organizations were investigated.
Toxins and Mechanisms of Their Interaction in Fruit Wines
Authors:   Maykop State Technological University, Maykop, Adygea, Russia., Gnetko L.V. , Nerovnykh L.P. ,   Maykop State Technological University, Maykop, Adygea, Russia., Gisheva S.A. ,   Maykop State Technological University, Maykop, Adygea, Russia., Skhalyakhov A.A. ,   Maykop State Technological University, Maykop, Adygea, Russia., Siyukhov Kh.R. ,   Maykop State Technological University, Maykop, Adygea, Russia., Ageyeva N.M. ,   North Caucasian Federal Scientific Center of Horticulture, Viticulture, Wine-making, Krasnodar, Russia., Volkova S.A. ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.
Published: October 2019

The purpose of the work was to ensure the environmental safety of fruit wines based on studying the content of secondary metabolites of mold fungi – mycotoxins – and their properties in them. The study objects included different varieties of apples that were damaged in a different way. The whole apples that were not damaged by pests and diseases were used as a reference group. To define the content of patulin and aflatoxins A and G, thin layer chromatography and high-performance liquid chromatography were used. In order to define the mass concentrations of amino acids, the method of liquid ion-exchange eluent chromatography was used. The analysis of wine materials produced from apples that had various types of damage has showed that they contained mycotoxins, namely, aflatoxins A and G and patulin. It has been determined that the degree of contamination of the apples surface with mold fungi depends on the type of the fruit damage. The content of toxins increases in the following sequence: mechanically damaged apples < pest damaged apples < apples damaged by diseases. All objects were characterized by a considerable content of patulin. An attempt has been made to define possible areas for the patulin synthesis with mold fungi. The impact of mold fungi on the composition of amino acids in fruit materials has been studied. The difference in the concentration of amino acids in low alcoholic and highly alcoholic environments has been revealed. It has been defined that the reason for obtaining fermented juices with a depleted amino acid composition is the use of the fruits damaged with rot. The increase in the content of certain amino acids in fermented alcoholized juices indicates the inhibitory effect of the alcoholic medium on the metabolic processes of mold fungi and a decrease in their enzymatic activity. The mechanism of the interaction between patulin and amino acids of fruit materials has been explained.
Ascertaining Abnormal Regions in Mammogram Images using Gravitational Search Local Map View Technique
Authors:   Research Scholar, BharathiarUniversity, Coimbatore, India., Sukassini M.P. , Velmurugan T. ,   Associate Professor, PG and Research Department of Computer Science, D. G. Vaishnav College, Arumbakkam, Chennai-600106, India.
Published: October 2019

Segmentation of mammogram images has gained importance in many medical treatments and diagnostic processes. Mammogram image segmentation aims at correctly separating different tissues, organs, or pathologies in volumetric image data. Most of the existing algorithms for image segmentation have a "scattered" cluster problem (disconnected clusters) happened in many clustering techniques (agglomerative, k-means, Dbscan) . Above algorithms not taken into account of both quality value and connectivity of points and region varying shapes. Two methods are proposed in this paper. The first technique is LMV (Local Map View) and the second technique is GSLMV (Gravitational Search Local Map View). LMV concentrates on determination of local quality for each point in all instances of the region in the comparative similarity view by applying the initial cluster technique. This view allows the user to choose instances for detailed analysis and filter the outlier instances from the input, next specific feature selection process identifies regions with systematic characteristics across the images. In this research work, pixels in groups with high intensity are assumed to be abnormal regions in cancer and non-cancer images. Fuzzy clustering is used to cluster the pixels. The optimal threshold from GS are initialized as cluster centres. This increases the speed of GSLMV algorithm. Performances of GSA, LMV and GSLMV methods are measured using False Rejection Rate, pixel count, Peak signal to noise ratio and runtime metrics. GSLMV showed better results based on pixel count, PSNR and runtime.
Testing and Analyzing the Accuracy of Websites by Automated Scanner
Authors:   Department of C.S.E., R.B.S. Engineering Technical Campus, Bichpuri, Agra, India., Dikshit Srishti , Singh Dr. Brajesh Kumar ,   Department of C.S.E., R.B.S. Engineering Technical Campus, Bichpuri, Agra, India.
Published: October 2019

According to the research on “scanning the vulnerabilities in websites using automation technique”the tool was only scanned those website which have the vulnerabilities in it, we reviewed the tool one more time and scanned more websites for monitoring the accuracy of the scanner and changed some parameters for diverse results [1]. Whenever it comes to the online security, this phrase “precaution is better than a cure” suits the situation in today’s life. People have some laziness or they may be naive for this because they do not know that they could be hacked anytime that’s why they need to be secure every time even on social media. Instead of the social media account there are many websites which could also be hacked easily. So, this tool/scanner is being updated and getting more accurate day by day so once we will know about the problems (flaws) of the websites then we could easily make them (websites) secure.
An Energy Efficient Clustering based Distributed Load Balancing Technique for Mobile Adhoc Networks
Authors:   Research Scholar, Department of Computer and Information Science,Annamalai University, Chidambaram, India., Parimala M.A. Maria , Saravanan Dr. S. ,   Assistant Professor, Department of Computer Science and Engineering,Annamalai University, Chidambaram, India.
Published: October 2019

In a mobile adhoc network (MANET), energy efficiency and mobility prediction are the two main challenging design issues due to the mobile nature of the nodes in any direction with limited battery lifetime, thus leads to adequate topology modifications. These two issues are mainly considered to maximize the lifetime of MANET. Load-balancing and reliable data transmission among the mobile nodes is mandatory to increase the network lifetime. To achieve this, clustering techniques can be employed to minimize the topology size and to aggregate the details related to the topology. In this paper, we introduce a new clustering based distributed load balancing (D-CALB) algorithm to maximize energy efficiency and network lifetime. Furthermore, a fault tolerant feature is included in the D-CALB algorithm, which maintains a secondary CH as a backup node in case of the failure of the present CH. The presented ZXCD- CALB algorithm has undergone an extensive set of experimentation under a varying number of nodes and speed. The detailed investigation of the experimental results verified the superior nature of the presented D-CALB algorithm over compared ones under several measures.
A Numerical Tool for Simultaneous Targeting and Design of Mass Exchange Networks
Authors:   Process Systems Engineering Centre (PROSPECT), Research Institute for Sustaineble Environment, School of Chemical and Energy Engineering, Universiti Teknologi, Malaysia (UTM), 81300 UTM Johor Bahru, Malaysia, Oladosu Wasiu A. , Wan Alwi Sharifah R. ,   Process Systems Engineering Centre (PROSPECT), Research Institute for Sustaineble Environment, School of Chemical and Energy Engineering, Universiti Teknologi, Malaysia (UTM), 81300 UTM Johor Bahru, Malaysia, Manan Zainuddin A. ,   Process Systems Engineering Centre (PROSPECT), Research Institute for Sustaineble Environment, School of Chemical and Energy Engineering, Universiti Teknologi, Malaysia (UTM), 81300 UTM Johor Bahru, Malaysia
Published: October 2019

Design of cost-effective Mass Exchange Networks (MENs) that involves mass integration can help to minimize the amount of mass separating agent (MSA) purchased, waste MSA generated by industries, reduce operating costs and mitigate environmental issues associated with MSA disposal. Design of MENs can be done using graphical and numerical methods, as well as using mathematical modelling. This work describes a new approach for simultaneous targeting and design of MENs in which both targeting and network design stage can be solved in a single template, in order to overcome the limitation of graphical tools such as MENs Composite Curves (CCs) and Grid Diagram. CCs cannot completely map individual rich and lean process streams, or process and utility streams. On the other hand, the numerical technique known as Composition Interval Table (CIT) failed to show individual rich and lean stream mass cascades and cannot be used for MENs design. The newly developed numerical approach in this paper employs the Segregated Composition Interval Table (SECIT) to simultaneously locate mass pinch point, determine the minimum utility targets and perform SECIT Mass Allocation (SMA) that can be used to visualize in SECIT Network Diagram (SND).This work can be applied in industries to minimize liquid waste and reduce environmental pollution A case study is presented to demonstrate the validity and advantages of the proposed approach. This paper also shows that SECIT and SND can be a vital combination of numerical and graphical visualization tools for targeting and design of complex MENs.
Mitigation of Blackhole Attack on MANETs using ABC and ANN Algorithm
Authors:   Department of Computer Science and Engineering, NITTTR, Chandigarh, India., Kharyal Tanmaya , Krishna C. Rama ,   Department of Computer Science and Engineering, NITTTR, Chandigarh, India.
Published: October 2019

Mobile ad hoc network (MANET) is an important field of research that comprises of moveable nodes. These nodes communicate with each other through wireless links. Therefore, it becomes essential to design a secure network as it finds applications in different fields where data and communication are important like that in defense areas and disaster rescue operations. This paper focuses on detecting Blackhole nodes in MANETs and preventing it from the same. In this work, Ad hoc On-Demand Distance Vector (AODV) is employed as a routing mechanism and a secure network is established using Artificial Bee Colony (ABC) algorithm as an optimization technique in combination with Artificial Neural Network (ANN) as a classification algorithm to identify the Blackhole nodes. Simulations are carried out in MATLAB and the efficiency of the network in terms of Throughput, Packet Delivery Ratio (PDR), End-to-End Delay and Energy Consumption are measured. Throughput and PDR have been increased by 11.11%, 4.9 %, whereas end- to- end delay has been reduced by 4.93% as compared to existing work proposed by Ashish et al.[6].
Stabilization of The Alternative Current in Wind Based Power Plant using Multi Order Harmonic Remover Based on Synthesized Multilayer Power Converter
Authors:   Research Scholar, EEE department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India,, Bodha Venugopal Reddy , Kuthuri Narasimha Raju ,   Professor & HOD, EEE department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India, Srujana A. ,   Principal & professor, Sri venkateswara engineering college, Suryapet, Telangana
Published: October 2019

Disregarding wind turbines has been conveyed an unmistakable fuel source and does not corrupt the air like other power assets, which relies upon consuming of petroleum products, for instance, coal or vaporous oil, since wind is a fluctuating wellspring of vitality it has experienced high request music and isn't fit to meet the base burden vitality request. Along these situation, this circumstance forces wind turbine generator system to have a power molding circuit called control converter that should be bore of changing the generator repeat and voltage to grid anyway existing converters are doing combating with low solicitation sounds just so when high request music occurs, there is a debasement in power quality and wind turbine needs single multi arrange converter. As to issue, this work showed a multi request symphonious remover subject to mixed multilayer influence converter which avoids high music bending to upgrade the influence idea of wind based influence plant by considering the going with attributes that prompts sounds, for instance, control adversity to adjust up to this expansion type rectifier is used, inadequacy current that is changed by imperfection current limiter and the high repeat part that is controlled using nonlinear inductor, at long last commotion is decreased by cascaded c type filter so this structure can battle with the high consonant mutilation and kept up the impact quality and the transient security of the wind turbine.
Evolutionary Algorithm for Optimal Scheduling of Thermal Units in an Integrated Power System
Authors:   EEE Department, JNTUACE, Ananthapuramu, Andhra Pradesh, India., Rajesh K. , Visali Dr.N. ,   EEE Department, JNTUACEK, Kalikiri, Andhra Pradesh, India.
Published: October 2019

Interconnection of power system is a key one to route power plant operation optimally with a diminishing rate of active power generation, in encountering the growing demand. Reduction of fuel consumption is one of the objective for the steam run power plants by assigning source power to every component (economic dispatch) focus to equal and unequal limitations optimally. This importance is due to power savings. ELD is the utmost significant issues to be resolved in the process and forecasting of a electrical system. This work presents an approach of Genetic Algorithm (GA) for finest load scheduling of steam run power plants to catch the universal optimum dispatch clarification. The genetic set of rules centered best approach explains the ELD problem. The core indication behind genetic set of rules is, all units should allocate the essential power load at lowest coal cost, though sustaining the coordination limitations. Simulation is executed on assessment system with six generators using Mat-lab. The results are shown for 24 hour loads with optimal generation of 6 generators including transmission losses and cost of real power generation.
Fusion of Multi Modal Lumber Spine Scans using Wavelet and Convolutional Neural Network
Authors:   Department of Computer Engineering, MPSTME, NMIMS,Mumbai, India., Palkar Bhakti , Mishra Dhirendra ,   Department of Computer Engineering, MPSTME, NMIMS, Mumbai, India.
Published: October 2019

Multiple medical images of different modalities are fused together to generate a new more informative image thereby reducing the treatment planning time of medical practitioners. In recent years, wavelets and deep learning methods have been widely used in various image processing applications. In this study, we present convolutional neural network and wavelet based fusion of MR and CT images of lumber spine to generate a single image which comprises all the important features of MR and CT images. Both CT and MR images are first decomposed into detail and approximate coefficients using wavelets. Then the corresponding detail and approximate coefficients are fused using convolutional neural network framework. Inverse wavelet transform is then used to generate fused image. The experimental results indicate that the proposed approach achieves good performance as compared to conventional methods.