bluuebunny/crossref_metadata_2025 huggingface dataset:
Current challenges for regional development: threats to economic security
Authors: Melnyk Alla
Published: September 2019

The article deals with current challenges for regional development and their impact as causes of threats to economic security. Economic security is seen as a complex multilevel system, the formation of which occurs at various levels of economy’s hierarchy: the state level, an economic sector, an industry (economic activity), a region, a business enterprise, a city, a town, a village, a local territorial community, a person. It is determined that a region’s internal and external environment is the key factor of its economic security. The assessment, which was carried out, enables to establish the following characteristics: structural imbalances, a gap between regional investing priorities and determined priorities, a break in the production chain, an asymmetry in technological development of regional industries, expansion of foreign companies on the domestic market, incompatibility between the system of institutions and the aims of social and economic development of regions.The research paper describes the current challenges for regional development, such as deepening of regional differences in creating tensions in regional labour markets; intensification of migration processes; growing differences in the intensity of structural changes; reducing foreign investment; institutional and fiscal decentralization; growing problems in organizing and financing social services; deepening asymmetry in the development of cross-border infrastructure, which requires a system of protection against increasing threats to economic security.A range of methodological approaches to assessing the level of economic security is generalized. A set of quantitative and qualitative indicators is suggested for evaluating the results of security assurance activities at all levels of the hierarchy: a region, a territorial community, a business enterprise, a person.The priority areas of administrative activity designed to prevent threats to economic security are identified. Given the current challenges, these priority areas include: structural reform of the economy, an increasing backbone role of state-owned entrepreneurship, inter-regional and inter-municipal cooperation, modernization of social safety in terms of personal security, strengthening safety of entrepreneurship, reinforcement of security of local communities under conditions of political, administrative, financial, fiscal, economic and environmental decentralization.The main characteristics of each area are pointed out. Further research studies are to be undertaken to empirically examine the results of these measures and identify barriers for institutional assurance of economic security.
Analysis of resource capacity of the banking system in times of crisis
Authors: Adamyk Bohdan , Skirka Andrii
Published: September 2019

In any state banking system always acts as a catalyst of economic growth. At the current stage, in times of crisis over 2014-2016, effective functioning of the banking system and the system of guaranteeing deposits has become an important concept. The research objectives include analyzing resource capacity of the banking system and considering a range of problems related to guaranteeing deposits during the period of 2014–2016. The authors analyze the data on the amount of individuals’ deposits in the banks participating in the Deposit Guarantee Fund. The impact of reducing banks’ deposit base on Ukraine’s economy and a negative trend in savings is determined. The ratio of savings to GDP in a number of countries, including Ukraine, is analyzed. Particular attention is paid to the importance of money transfer from abroad. An emphasis is placed on the correlation between fluctuations of foreign currencies and deposits. The dynamics and structure of liabilities of the banks participating the Deposit Guarantee Fund are scrutinized. It is concluded that the share of retail deposits has been reduced. The dynamics of lending and the share of loan arrears are provided. Furthermore, the dynamics of loans issued by the National Bank of Ukraine to Ukrainian banks is described. Based on the research findings, a set of recommendation related to the formation and use of funds is developed. It is stressed that the further improvement of the banking system and the system of guaranteeing deposits is among priorities in times of crisis.
Specific Aspects of Strategic Management in Innovative Geographically Distributed Organizational and Economic Systems
Authors: Babkin A. V. , Baykov E. A.
Published: September 2019

The presented study analyzes the modern models of geographically distributed organizational and economic systems and specific aspects of strategic management of these systems.

Aim. The study aims to examine the specific aspects of strategic management of such modern forms of geographically distributed organizational and economic systems as clusters and special economic zones.

Tasks. The authors examine the nature and features of the major modern forms of geographically distributed organizational and economic systems, namely, clusters and special economic zones; identify innovative models within these forms: priority development areas, industrial, commercial, and technological parks, technopolises, innovation centers, etc.; substantiate methodological approaches to the strategic management of these innovative formations in general as well as formation of the corresponding organizational management structures and a set of strategies of different hierarchical levels.

Methods. This study uses general scientific methods of cognition and strategic management methods to examine geographically distributed organizational and economic systems and their innovative models and to propose a set of hierarchical strategies for the development of innovative formations.

Results. In the current context of formation and development of the Russian digital economy, clusters and special economic zones are becoming increasingly widespread forms of geographically distributed organizational and economic systems. This has facilitated the emergence of various innovative models of the corresponding systems: priority development areas, industrial, commercial, and technological parks, technolopolises, innovation centers, technology transfer centers, business incubators, etc. In view of these models, the authors present the specific aspects of their strategic management and provide recommendations on the structure and functions of strategic management bodies – supervisory boards and managing companies. The authors also propose a system of strategies of different hierarchical levels for such formations, including areas for the application of advanced digital and marketing technologies.

Conclusion. Economic development has led to the emergence of new forms of geographically distributed organizational and economic systems – clusters and special economic zones. The study substantiates methodological approaches to the strategic management of these innovative formations in general as well as formation of the corresponding organizational management structures and a set of strategies of different hierarchical levels.
SEXSÔNIA
Authors: A. Coelho Glaury , Palombini Luciana
Published: September 2019

O comportamento sexual atípico durante o sono, denominado sexsônia, é uma parassonia pouco descrito na literatura científica. Apresento características e fatores desencadeantes da sexsônia elencando estudos realizados até a presente data. O diagnóstico é um desafio clínico, e já são reconhecidas suas implicações clínicas, conjugais e, mais relevantes, implicações criminais. Especialistas em distúrbios de sono e da sexualidade se associam para melhor conduzir e tratar este transtorno do sono.
Compact Circular Polarization Design for Equilateral Triangular Micro strip Antenna
Authors:   Department of USICT, GGSIPU, Delhi, Roy Manidipa , Mittal Ashok ,   Department of Electronics and Communication Engineering, AIACT&R, Delhi
Published: September 2019

This article focuses on designing a single-feed circularly polarized equilateral triangular microstrip patch antenna. The axial ratio bandwidth of the antenna is around 190 MHz. The antenna has been etched at specific locations for achieving circular polarization. The suppression of surface waves is also being focused upon for gain enhancement. The array of cylindrical metallic pins is embedded near the radiating side of the patch antenna. The gain enhancement of around 3.23 dB is observed. The antenna is designed for use in satellite communications.
A Novel Method to Perform Search Query using Brainwave Signals
Authors:   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Manish Deekonda Sai , Shahid Nabeel ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Raj Anand ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India., Fathimal Dr.P.Mohamed ,   Department of Computer Science, SRM Institute of Science & Technology, Chennai, India.
Published: September 2019

The main aim of the proposed paper is to search the information using brain waves instead of searching using the text query. Electroencephalography (EEG) is an electrophysiological checking strategy to record the electrical activity of the mind. EEG estimates voltage changes coming about because of ionic current inside the neurons of the mind. EEG alludes to the account of the mind’s unconstrained electrical movement over a time frame, as recorded from different nodes put on the scalp. For training, When the user has read a question, the brain waves are recorded with the help of sensors like Neurosky device in the form of EEG signals values like Alpha, Beta, and Gamma and are stored in a dataset. The brainwaves of different persons are recorded for different questions and are stored. The features are reduced using PCA and the centroid of the values are calculated using the K-means clustering algorithm. For testing, when the user thinks about a question in the list, the brain waves are recorded and compared with the values available in the dataset. Using KNN Algorithm, the proposed system outputs the respective question which will be submitted to the search engine. K-Means clustering algorithm is used to calculate the cluster centroid. Once the centroid is calculated for each question, we plot each centroid in a 2-D plane. For a random question from the pool of existing questions, we use the KNN algorithm to find the nearest match. When the match is found, the question corresponding to it is submitted to the search engine.
Analysis on Heat Transmission and Fluid Flow Attributes in Solar Air Accumulator Passage with Diverse Faux Jaggedness Silhouettes on Absorber Panel
Authors:   Department of Mechanical Engineering, Shivalik College of Engineering, Uttarakhand Technical University, Dehradun, India., Kaushik Shivasheesh , Singh Satyendra ,   Department of Mechanical Engineering, B.T.K.I.T. Dwarahat, Uttarakhand Technical University, Dehradun, India.
Published: September 2019

There is a necessity to investigate the heat transmission and fluid cascade peculiarities of solar air convectors using varying faux irregular surface and shapes on absorber sheet, so that the solar devices utilize maximum amount of available solar radiated heat energy during day time. These artificial roughness shapes are use for the enhancement of thermal performance. This need arises from the fact that the heat circulation and liquid cascade trait have been investigated by the previous investigators only for the cases that differ considerably from those relevant to solar air brazier having different screen matrix placed in the planes parallel to the flow direction and that the radiant energy being absorbed in depth. In our present research paper we investigating experimentally the behavior of artificial irregularities located over absorber platter of solar air heater vessel of varying shapes like trapezoidal, sin wave, rectangular, alternative elliptical shape pattern etc, with different Reynolds Number range 4000 to 24000, mass flow rate on Nusselt Number and Friction Factor and also find the suitable optimum shape for heat transmission enhancement. The results indicated the best heat transfer enhancement results for the alternative elliptical shape pattern among other artificial roughness with range of 0.0786kg/s – 0.475kg/s mass flow rate with thermal efficiency near about 78%.
Design and Development of IOT Based Intelligent Agriculture Management System in Greenhouse Environment
Authors:   Embedded Systems, SASTRA Deemed to be university, Thanjavur, India., Kumar C.Kishore , Venkatesh V. ,   CSE Department, SASTRA University, Thanjavur, India.
Published: September 2019

The introduction of Internet of Things (IoT) has a significant impact on shaping the communication and internetworking landscapes. The upcoming IoT researches are linked with design of standards and open architectures still requiring a global attention before deployment. The main objective is to design and develop a framework on Internet of Things (IoT) for precision agriculture using Machine learning techniques, where it surges the efficiency in farming by minimizing the loss of water and studying the fertility of the field. Libelium Smart Agriculture is used to connect to the IoT which uses Waspmote module. Waspmote is the plug and sense platform which is programmed using Waspmote IDE configured to connect with the available Local Area Network (LAN). With the help of Machine learning techniques like Classification And Regression Technique (CART) and Linear Support Vector Machine (SVM), the amount of water required by the crops can be estimated. In this paper, various regression such as stochastic gradient decent and boosted tree regression techniques are compared and results were obtained. Although each model applied in this paper performed well in predicting whether the crop needs to be irrigated, the optimal prediction accuracies were acquired by Boosted Tree Regression (BTC). It is compared by the fold numbers, Root Mean Squared Error (RMSE) and coefficient of Determination (CoD). The accuracy of the boosted tree regression came out to be 91.93% and the stochastic gradient descent prediction model delivered 62.95% accuracy. The amount of water required for the irrigation is then sent to appropriate actuator like solenoid valve and motor can be turned on for that particular period of time. Calibration test results and Measurements are represented to enhance the accuracy and success rates of Precision Agriculture (PA).
Single Layer Coating Photonic Crystal Fiber Biosensor based on Surface Plasmon Resonance
Authors:   Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India., Kumar P Vinod , Nivash S ,   Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India., Fahimullah A Mohammed ,   Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India., Gokul K Vinay ,   Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: September 2019

This paper is a demonstration for the design of photonic crystal fiber biosensor which is based on the phenomenon of surface plasmon resonance. The plasmonic coating covers the outer layer of the Photonic Crystal fiber to ease the fabrication process, we choose Gold. To quantitatively measure the represented design, we utilize a technique called as the Finite element method (FEM). To accomplish the sensitivities of 4300nm/RIU and 408.468 RIU-1 we apply the methodologies of wavelength and amplitude interrogation models. This design yielded a resolution of 2.33×10-5 respectively. A fluctuation from 1.33 to 1.39 in the analyte refractive index can be identified and measured by this design. The sensing range of the design is wide and may also be used in biological detection.
The Hybrid Optimization Algorithm for Load Balancing in Cloud
Authors:   IT Dept., BCIIT, Delhi, India., Arora Pooja , Dixit Anurag ,   SCSE,Galgotias University, Delhi, India.
Published: September 2019

The advancements in the cloud computing has gained the attention of several researchers to provide on-demand network access to users with shared resources. Cloud computing is important a research direction that can provide platforms and softwares to clients using internet. But, handling huge number of tasks in cloud infrastructure is a complicated task. Thus, it needs a load balancing method for allocating tasks to Virtual Machines (VMs) without influencing system performance. This paper proposes a load balancing technique, named Elephant Herd Grey Wolf Optimization (EHGWO) for balancing the loads. The proposed EHGWO is designed by integrating Elephant Herding Optimization (EHO) in Grey Wolf Optimizer (GWO) for selecting the optimal VMs for reallocation based on newly devised fitness function. The proposed load balancing technique considers different parameters of VMs and PMs for selecting the tasks to initiate the reallocation for load balancing. Here, two pick factors, named Task Pick Factor (TPF) and VM Pick Factor (VPF), are considered for allocating the tasks to balance the loads.
Swarm based Intelligent Feature Optimization Technique for ECG based Biometric Human Recognition
Authors:   ECE, Aditya Institute of Technology and Managemant, Tekkali, Andhra Pradesh, India., Patro Kiran Kumar , Rao M.Jayamanmadha ,   ECE, Aditya Institute of Technology and Managemant, Tekkali, Andhra Pradesh, India.., Kumar P.Rajesh ,   ECE, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Published: September 2019

Recently, rapid growth in network technology and communication leads to widening human activities, so that a strong identification system is necessary. This work aims to build an accurate identification technology based on unique physiological characteristics of ECG. The Biometric recognition of ECG primarily depends on the quality of its features. Feature extraction is performed on parameters of a cardiac cycle based on the fiducial approach and large data sets of features have been extracted. The extracted dataset contains irrelevant, correlated and over-fitted features, which misleads the biometric system performance so that an effective feature optimization is needed to sort out those features to avoid redundancy in the data. In this paper, a novel swarm based intelligent feature optimization method; Particle Swarm Optimization (PSO) is used to generate feature subset based on a fitness function with joint entropy. The dataset from optimization phase are fed to classifiers such as ANN, K-NN and SVM for recognition. The proposed approach is tested with available open source MIT-BIH ECG ID database. Finally, a comparison is made with and without feature optimization in which PSO with KNN shows recognition accuracy of 97.8931%.
An Enhanced Classification Based Outlier Detection using Decision Tree for Multi class in Data Stream
Authors:   Research Scholar,Department of computer science,Erode arts and science college, Erode, Tamilnadu, India., Sangeetha R. , Sathappan Dr.S. ,   Associate Professor,Department of computer science.,Erode Arts and science college, Erode, Tamilnadu, India
Published: September 2019

Data Stream has continual, unbound, large and unstable records. The processing in data streams involves extracting significantidea in primary data of the kind static and dynamic with one sweep. In streaming, records are generated by thousands of data sources continuously and simultaneously. These data normally won’t have common range. Some data will be deviated from the rest in terms of variant factors. These are considered as outliers and it is tough to find those in data stream as they have multi dimensionality. Outliers, being the most abnormal observations, may include the sample maximum or sample minimum. E-commerce is an application or category of data stream that is generated from millions of sources at a time. It includes multiple products and transactions. Some products are cancelled during transactions and some are infrequent and these are termed as outliers. This paper focus on the challenge in E-Commerce and the objective is to aid the agencies in taking fine decisions in right time by finding the outliers using supervised learning scheme. This work is carried out in two phases. In first phase the outliers are detected and classified as cancelled and delivered products. In the second phase the least transaction is found as an outlier by the enhanced methodology for multi-class classification. The work is implemented in WEKA 3.9.6 and is compared with the existing works with evaluation metrics.
Secure Collaborative Key Management System for Mobile Cloud Data Storage
Authors:   Assistant Professor (Senior Grade) at B. S. Abdur Rahman Crescent Institute of Science & Technology, Chennai, Tamil Nadu, India., Shakkeera  , Saranya  ,   Student at B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai, Tamil Nadu, India., Vali Sharmasth ,   Assistant Professor at Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India.
Published: September 2019

Mobile Cloud Computing (MCC) is the combination of mobile computing, cloud computing and wireless networks to make mobile thin client devices resource-rich in terms of storage, memory computational power and battery power by remotely executing the wide range of mobile application’s data in a pay-per-use cloud computing environment. In MCC, one of the primary concern is the security and privacy of data stored in cloud. The existing techniques are not efficient to manage secret keys during key generation and key distribution processes. The objective of this project work is to develop a secure collaborative key management system (SCKMS) for mobile cloud data storage by implementing by the cryptographic techniques for file encryption and file decryption, key generation, key encryption, key distribution and key decryption processes. In our proposed methodology, DriverHQ public cloud infrastructure is used for accessing the secure file as Storage as a Service (SaaS) mechanism. For generating the secret key, the proposed work implemented with Pseudo Random Number Generator (PRNG) algorithm, it produces the sequence of random numbers for every time. The keys are distributed using general Secret key Sharing Scheme (SSS). The key pattern matching process is implemented to spilt the secret key into three partitions and sent it to client (mobile devices), cloud server and decryption server. The decryption server key and cloud sever key are mapped with client key. The key shares are grouped together using key-lock pair mechanism and it achieves key integrity during untrusted medium communication. The proposed work also eliminates key escrow and key exposure problems. The files are encrypted and decrypted using Rivest-Shamir-Adleman (RSA) algorithm. The RSA algorithm is more vulnerable against the brute force attack, because of using larger key size. Thus, the proposed SCKMS achieves data confidentiality and data integrity in mobile cloud storage data when compared to existing Key Management System (KMS). The work also reduces encryption & decryption computation and storage overhead in client mobile devices, and minimizes the energy consumption of the mobile devices efficiently.
Vehicular Adhoc Network Based Location Routing Protocol for Secured Energy
Authors:   Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai, Chinnasamy Dr.A. , Selvakumari P. ,   Department of Computer Science Engineering, Tagore Engineering College, Chennai., Pandimurugan V. ,   Department of IT. Hindustan Institute of Technology & Science,Chennai.
Published: September 2019

ALERT chiefly uses irregular message routing copy to supply namelessness protection. The projected protocol provides the ALERT routing high namelessness protection, EALERT additionally dynamically partitions a network field into zones and haphazardly chooses nodes in zones as intermediate relay nodes, that Anon-traceable anonymous route. It then haphazardly chooses a node inside the choice zone as a result of subsequent relay node and uses the EGPSR formula as a variant of GPSR in awake to send the information to the relay node. Within the last step, the information is broadcasted to k nodes at intervals the destination zone, providing k-anonymity to the destination. In addition, the protocol contains a method to hide the information instigator among sort of initiators to strengthen the k-anonymity protection of the provision. The projected Energy aware ALERT detects the Sybil attack within the network, Routing protocol, geographical routing.
Automatic Vehicle Identification for Multiple Purposes at Toll Collection System
Authors:   M.Tech Student, Department of ECE, BNMIT, Bangaluru., P Vinaya Singh , Vijaya P. A. ,   Professor and Head, Department of ECE, BNMIT, Bangaluru., Ravikumar  ,   Head Trainer, 5square, Bangaluru.
Published: September 2019

With the major growth in roadways, there is a raise in the number of toll booths. These toll booths have lengthy queues, the time consumed in paying cash and returning change causes additional delay. In this paper, a system uses Radio Frequency Identification (RFID) technology, ARM LPC2148, GSM, relay and computer host. RFID is used to obtain the vehicle number. RFID card with unique id is mounted on every vehicle, data contain on the card is examined by the RFID scanner placed at the toll gate. If the vehicle belongs to authorized person or registered, fixed money is automatically deducted from the owners account, message will be send to registered mobile number and automatically toll gate is opened. In this project Rs.50 is deducted for car and Rs.100 is deducted for bus. If the account balance becomes insufficient then buzzer is alarmed, message will be sent to the owner that she/he has insufficient balance and should use manual toll payment. If the vehicle belongs to higher officials such as VIP, police, army, ministers or ambulance the toll gate is opened automatically and the amount is not deducted. For upcoming situation all vehicle information that passes the toll will be stored. Stolen vehicle directory is also present, if the card number of the vehicle matches then buzzer is alarmed, message will be sent to the registered police station, amount is deducted from owner’s account and gate is opened. The advantage is that message is sent both to the owner and police station. Coding is done in Embedded C. This system eliminate the manual cash handling, reduces traffic congestion and help in lesser fuel utilization. This makes automatic toll collection more convenient for the public use.
Fuzzy Utilization in Speech Recognition and its Different Application
Authors:   Asst.Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh., Fernandes J.Bennilo , Mannepalli Kasiprasad ,   Assoc. Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation ( K L University, Vijayawada), Andhra Pradesh., Saravanan R. Agilesh ,   Asst. Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation ( K L University, Vijayawada), Andhra Pradesh., Kumar K.T.P.S ,   Asst. Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation ( K L University, Vijayawada), Andhra Pradesh.
Published: September 2019

Talk affirmation is one among the basic zones in cutting edge talk process. The examination of talk affirmation may be a bit of an examination for "artificial intelligence" machines that may "hear" and "appreciate" the verbally communicated data. The customary ways for talk affirmation like HMM and DTW, are outrageously inconvenient and time excellent. As such formal Fuzzy justification may be an endeavor in cutting edge talk process for the convincing portrayal of talk affirmation in a couple of utilization. The approach masterminded in the midst of this paper streamlines the utilization of fuzzy in talk affirmation and make the data dealing with time shorter. The case considered in the midst of this paper is that the least mind boggling, i.e., the example of speaker dependence, little vocabulary and disconnected words. There are various spectral and common choices isolated from human talk. The present ways for tendency acknowledgment from voice use basically MFCC and Energy feature. This paper briefs an overview concerning the present work on talk feeling ID strong for completing more examination by feathery approach.
Bit Error Performance of Variations along the Spectrum for the Several Sub Carrier
Authors:   Dept. of NS & IT, University of Madras, Chennai, India., Sudhamathi K. , Deepa A. ,   Dept. of NS & IT, University of Madras, Chennai, India., Padmanabhan K. ,   Dept. of ECE, MVJ College of Engineering, Banglore, India., Ananthi S. ,   Emeritus Professor, Anna University, Chennai., Rama J. ,   Dept. of NS & IT, University of Madras, Chennai, India
Published: September 2019

Present scenario of mobile communication is to meet the demands of Error free and high data rate communication. This can be achieved with multi carrier modulation technique. In Multi carrier modulation, the transmitting data is split into several components which is modulated and transmitted with different carriers which leads to less Inter Symbol Interference, multipath fading and impulse noise. A novel method of multi carrier modulation and demodulation was done by multiplying user symbols with several sub carriers then combining the several modulated signals and transmitted over a noisy channel. Analysis was carried out after demodulation by comparing received symbols with transmitted symbols. Simulation was carried out to analyze the Bit error rate (BER) performance of multi carrier modulation system as a function of Number of sub carriers and spacing between them. It is found that BER performance is not consistent for all sub carriers. BER performance degrades as sub carriers increases from 1 to n, where n=fs/2. It is also observed that the BER performance is approximately stable throughout the specified spectrum for a given sub carrier.
Optimization of CSA for Low Power and High-Speed using MTCMOS and GDI Techniques
Authors:   ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Patnala Tulasi Radhika , Majji Sankararao ,   ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Pasumarthi Gopala Krishna ,   IT, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Published: September 2019

The basic operation involved in any analog, digital, control system, DSP’s is addition. Performance and reliability of almost every digital system is depends on performance of adder. Over the decade, many adder architectures are proposed and still research work is going on adder to obtain the best results in power, delay and power delay product (PDP). In this paper we proposed one of the fastest adder architecture called Carry Select adder (CSA) and optimization is done for performance parameters like delay and power using GDI (Gate Diffused Input) and MTCMOS techniques. Implementation has been done in standard gpdk 90nm technology using Cadence tool.
TQM on the Status of Sports in Sirsa and Bhiwani
Authors:   Assistant Professor/ HOD, Department of Physical Education, Guru Kashi University Talwandi Sabo, Punjab, India., Singh Dr. Charan , Verma Dr.Monika ,   Professor, Department of Physical Education, Ch. Devi lal University Sirsa
Published: September 2019

Technology has a very sound impact on human being today. Our life is totally dependent and revolving around technology. We cannot think of our present life without technology and hence there is a substantial influence of modern technology on human lives. We are not using our muscles for every work as work is becoming more and more automatic due to technology. Our muscles on which once upon a time we used to depend oncompletely for existence, are now used for less and less with inexorable results. A number of research works has been done in various fields like medicine, psychology and physiology, to prove that moving the muscles for work have a number of benefits and due to technology we are making our body lazy and defective. However, very less have been made to the fact that exercise with associated development of fitness has far reaching effects on vigorous bodily processes and upon the functional realization of one’s progress and competencies. The present paper is designed to study the TQM on the status of sports in Sirsa and Bhiwani.
Distribution problems in private bank led life insurance firms: A contrasting scenario in the Indian Context
Authors:   Research Scholar, Dept. of HSS, JUET, Guna (M.P.) & Assistant Professor, GIBS, Rohini, Delhi, India, Pant Tanmay , Arya Dr. Sandeep ,   Assistant Professor, Dept. of HSS, JUET, Guna (M.P.), India
Published: September 2019

Life insurance distribution in India is at an inflection point. Whilst life insurance as a phenomenon continues to be an enigma at best, it is its distribution aspect which seems to have taken the cake. Companies are grappling with the problem of designing an appropriate distribution channel mix. At a time when an industry-wise (private companies sans LIC) marked shift could be seen in favour of bancassurance over agency as a channel of choice, it is interesting that upon deeper analysis an intriguing phenomenon over the last five years has occurred, wherein two leading private bank led life insurance firms, namely HDFC Life and ICICI Prudential – both having the support of big banks (HDFC bank & ICICI bank); one being a non bank-promoted entity (HDFC Life), the other a bank-promoted one (ICICI Prudential) - are selling more through bancassurance - in line with the industry trends - but are either dismal in agency numbers or are at least preserving them or at times, are ahead of the industry agency numbers, even when the common refrain is to go the bancassurance way. In fact, ICICI Prudential is overshooting the industry bancassurance trend and HDFC more or less equals it. The last five years have unfolded marked variations in distribution for both these companies, manifestations of which are different. Equally confounding is the fact that with the direct channel (read online) - showing tremendous potential and growth - poised to make further disruptions, the resultant is an uncertain distribution landscape with no clear pattern in sight. Should these companies dispense with the agency channel? Or should they preserve agency? Or should they look to the direct / online channel. How do they strike a balance when disruptions are bound to happen further? This paper attempts to delineate the distribution patterns of these similar bank led companies and the implications thereof of such patterns.
Exploring the Relationship between Buddhist Mindfulness Meditation, Wellbeing and Personal Goal
Authors:   Research Scholar, Sharda University, Noida (Uttar Pradesh), India., Sajjana Ven. , Anand Dr. Kumar Gautam ,   Assistant Professor, Sharda University, Noida (Uttar Pradesh), India., Singh Dr. Arvind Kumar ,   Assistant Professor, Gautam Buddha University, Gautam Buddha University, Noida (Uttar Pradesh), India.
Published: September 2019

The empirical application of Buddhist mindfulness meditation suggests by this notion of impact had stood through considerable development over two thousand and five hundred years ago. In this field, the exploration propounds the outcomes of mindfulness practice along with using survey method as well as the evolution of Buddhist mindfulness practice to around the world as treating psychological development. The target of the survey will suggest to the practitioners who are currently joining at the mindfulness meditation classes in the various meditation center of India and Myanmar. In this field, to collection of the most practical benefits of mindfulness will be examined in detail whatever we have got the result from survey. To deal with above mentioned issue, this field had tried to clarify the results from respondents who are practicing mindfulness in their experience as well as we have been trying to practice with them for some moments. The present paper will emphasize the discussing about Buddhist mindfulness and the impact of practicing mindfulness meditation.
IoT Based Smart Lighting System using PIR Sensors, Arduino Uno and Thingspeakcloud + Chat Bot and Dashboard to Monitor Home Remotely
Authors:   Kadi University, Near ITI, Road Number 5, Sector 15, Gandhinagar, Gujarat, India, Desai Pinak , Modi Dr. Nilesh ,   Dr. Babasaheb Ambedkar Open University, Jyotirmay-Parisar, Opp. Shri Balaji Temple, Sarkhej-Gandhinagar Highway, Chharodi, Ahmedabad, Gujarat, India
Published: September 2019

As described in paper [1], I have mentioned solution to smart lighting and security using arduinouno microprocessor, Wi-Fi module and PIR Sensor.In this era, we all are fully de-pendent on electricity which is non-renewable resource. We must require some solution to save electricity and use electricity wisely. Lighting system is one of the major key component of smart cities or developing cities. Even we need to constantly monitor electrici-ty usage of our home remotely when we are not available at our home. With the development of new technologies like IOT, sen-sors etc., automation of electricity is easy and it plays very im-portant role in saving electricity. The purpose of this project is to save and monitor your home lights using IOT and other technol-ogies. Here we propose IOT and cloud based smart lighting sys-tem and bot+dashboard to monitor you home electricity very efficiently. When the person/persons in your home enters par-ticular area, the load will be activated and when they leave par-ticular area load will be deactivated of that area and this data is also sent to cloud to monitor your home.
Transference of National Peculiarities in the Novel “The Din” by E.A’zam
Authors:   “Foreign Languages” department, Bukhara, Engineering-Technological Institute, Bukhara, Uzbekistan., Barotova Mubashira , Quvvatova Dilrabo ,   “Uzbek literature” department, Bukhara State University, Bukhara, Uzbekistan
Published: September 2019

The works of Erkin A’zam are being translated into the world languages. Specifically, there are unique characteristics of the English translation of the literary works by Erkin A’zam. The article deals with the translation of the national features of the novel on the basis of comparative analysis. One of the most prominent representatives of the modern Uzbek literature, Erkin A’zam’s novel “The Din” is distinguished by its national-cultural spirit. The work has been translated by A’zam Obidov. The article summarizes the national features of the novel. The translation and comparative analysis show that the translator A’zam Obidov did his best to message the reader the originality of the work, which is observed in particular on the features of the Uzbek character. However, there are some drawbacks, in terms of the description of the portraits and characters in the translation of particular words and phrases. The purpose of the translation is to introduce the Uzbek people’s lifestyle to the readers of the world; to strengthen the communication among people, literature, and intercultural society.
The Role of the Parallel Corpus in Linguistics, the Importance and the Possibilities of Interpretation
Authors:   A senior teacher of Bukhara State University,Uzbekistan., Abdurasulovich Karimov Rustam , Rajabovich Mengliev Bakhtiyor ,   A professor of Tashkent State Uzbek language and literature University name after Alisher Navoiy.
Published: September 2019

Convenient interface and search engine in the language corpus serves as an object of research. The development of corpus linguistics has become the basis for the development of language awareness, linguistic competence, philological sciences and technology. The research is mostly based on the analysis of parallel corpus and its possibilities in Uzbekistan.
An Untraditional Description Style in the Epos of Ikrom Otamurod
Authors:   A teacher at Bukhara State University, Uzbekistan., Nafosat Urakova , Quvvatova Dilrabo ,   A professor of Bukhara State University, Uzbekistan
Published: September 2019

This article describes the p eculiarity, form and methodological updates of the Uzbek epos during independent years. An example of poet Ikrom Otamurad's epoch such as "Inner-External ...", "Bird", "Table", "Light of the spirit", and modern interpretation and unique description of poetry are analyzed and interpreted.
Genomics and Machine Learning
Authors:   Department of Computer Science, Kristu Jayanti College, India., R. Velmurugan , Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Lydia E. Laxmi ,   Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India, Shankar K. ,   Department of Computer Applications, Alagappa University, India., Hashim Wahidah ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia., Maseleno Andino ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Published: September 2019

Genomics is one of the most focused area for studying and helps to understand the nature of disease and it is an area where genetics can be deeply studied and research conclusion can be obtained. Genomics is different from genetics as genetics is the composition of only single gene but on the opposite side the genomics contains all gens and also keep track of their collectively growth during the development process of an organism. Here the datasets of DNA on the organism is called Genomic data. This datasets are further used in bioinformatics for doing experiments on collect and process for research. For this purpose a very large storage space and specifically-built computer program is required to analyze. Genomic is also different from the proteomics because in proteomics only focuses on the proteins present in the cell. The Genomics research involves many scientific factors, which leads to identify many diseases symptoms such as heart related disease, diabetic, cancer etc. Here in this approach genomics is useful because somewhere and somehow the genetic and the external factors are causing such diseases. The purpose of deep learning with genomics is to identify the disease and learning the development structure of disease. Such research may help in treating diseases in a better way.
Predicting Reliability of Open Source Hardware Platform
Authors:   Assistant Professor Department of Electronics Engineering, RCOEM, Nagpur India., Damle Nikhil S , Damle Gauri ,   Research Engineer, RIVA LABS CVIN-VNIT Nagpur, India, Deshmukh Rushikesh A ,   Assistant Professor Department of Electronics Engineering, RCOEM, Nagpur India
Published: September 2019

Embedded system today are influencing every sphere of life and all application domains. These systems were initially designed according to the application requirement as special hardware. This approach of embedded system design was influenced by particular family of processor. The new approach of embedded system design envisages the use of general purpose on the shelf hardware modules to be incorporated. These on the shelf hardware modules are also referred open source hardware platforms as their entire hardware module design in available in public domain. Thus populating such hardware platforms by different individuals becomes easy. At instances these open source modules are not as good as the original ones. This is because calculating and predicting the successes achieved or failure caused by the copy is not tested. This can be verified by the performance of the module designed in terms of reliability.
Techniques of Enhancing Usage Management of A Local Area Network of A Higher Educational Institution
Authors:   Clicklabs, Haryana, India, Sharma Nikhil
Published: September 2019

Managing the usage of Local Area Network is an important task as it helps in maintaining the productivity of the LAN There exists tools for this purpose and most of them are web interface based, they can control and monitor the usage only when connected to internet. Moreover proper usage logging and usage control based on the already set schedule is also absent. Practically, this management do not suffice the need of higher educational institutions because the areas like accountability, usage logging and control is not addressed in this approach. Both are important factor of enhancing management of LAN. This research paper proposes a tool-LABGUARD to incorporate these features. Further the tool has been implemented using .Net Technology. As a result, the usage of systems was accountable, only the authorized user could access the assigned sites with granted privileges at the retrospective time. Thus the system became more accountable and secured. It also enhanced the control of administrator on entire lab setup. It also facilitates the administrator to retrieve log details.
Group Recommendation for Cold Start Users Using Hybrid Recommendation Technique
Authors:   Chandigarh university, Gahruan, Mohali, Punjab, India, Kaur Harleen , Bathla Gourav ,   Chandigarh university, Gahruan, Mohali, Punjab, India
Published: September 2019

Recommender system is an data retrieval system that gives customers the recommendations for the items that a customer may be willing to have. It helps in making the search easy by sorting the huge amount of data.We have progressed from the era of paucity to the new era of plethora due to which there is lot of development in the recommender system. In today’s scenario the interaction between the groups of friends, family or colleagues has increased due to the advancement in mobile devices and the social media. So, group recommendation has become a necessity in all kinds of domains. In this paper a system has been proposed using the group recommendation system based on hybrid based filtering method to overcome the cold start user issue which arises when a new user signs in and he/she doesn’t have any past records. So, the recommender system does not have enough information related to the user to recommend an item which will be of his/her interest. The dataset has been taken from the MovieLens is used in the experiment.
SynRec: A Prediction Technique using Collaborative Filtering and Synergy Score
Authors:   CSE Department, Chandigarh University, Mohali, India., Kalra Nupur , Yadav Deepak ,   CSE Department, Chandigarh University, Mohali, India., Bathla Gourav ,   CSE Department, Chandigarh University, Mohali, India.
Published: September 2019

Recommender systems are techniques designed to produce personalized recommendations. Data sparsity, scalability cold start and quality of prediction are some of the problems faced by a recommender system. Traditional recommender systems consider that all the users are independent and identical, its an assumption which leads to a total ignorance of social interactions and trust among user. Trust relation among users ease the work of recommender systems to produce better quality of recommendations. In this paper, an effective technique is proposed using trust factor extracted with help of ratings given so that quality can be improved and better predictions can be done. A novel-technique has been proposed for recommender system using film-trust dataset and its effectiveness has been justified with the help of experiments.