bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical and Ecological Assessment of the Formation of the Carcinogenic Risk from Air Pollution in Megacities
Authors:   Kuban State Medical University, Krasnodar, Russia., Apsaliamova* Saida Olegovna , Khashir Bella Olegovna ,   Kuban State Technological University, Krasnodar, Russia., Khuazh Olege Zachirievich ,   Kuban State Technological University, Krasnodar, Russia., Stygun Aleksandr Viktorovich ,   Kuban State Technological University, Krasnodar, Russia.
Published: November 2019

Air pollution is considered to be the most dangerous by the extent of negative effects, since urban pollution with some compounds has already become irreversible, and entails negative changes in the health of the population. In this regard, the importance of scientific-methodical support for monitoring, integrated assessment of air pollution, and determining the level of medical and ecological, including carcinogenic, risk for individual territories increases. The article is aimed at determining and comparing the level of carcinogenic risk in a megacity due to the chemical carcinogens entering the organism with the atmospheric air and the air in residential and public buildings. The article discusses theoretical approaches to studying the effect of environmental factors on human health, including the risk of oncology diseases. Based on the analysis of the scientific literature and the data about the presence of carcinogenic substances indoors and outside, the problem of medical and ecological assessment of carcinogenic risk formation due to air pollution in megacities has been analyzed.
Medical Equipment Cost Assessment i n t he Conditions o f Intensive Technological Changes
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia., Igonin Vasiliy , Bondarenko Natalia Grigorievna ,   Pyatigorsk Branch of North-Caucasus Federal University, Pyatigorsk, Russia., Borisova Oksana Nikolaevna ,   Russian State University of Tourism and Service, Moscow, Russia., Akhyadov Elman ,   Chechen State University, Grozny, Russia., Garnik Sergey Valentinovich ,   State University of Management, Moscow, Russia., Meschkov Petr Yakovlevich ,   Russian State Social University, Moscow, Russia.
Published: November 2019

The purpose of the article is to consider the theoretical and methodological foundations of equipment assessment, in particular, the features of medical equipment assessment. The novelty of the study is associated with the fact that equipment assessment is considered by researchers, as a rule, as a stage in assessing the value of an industrial enterprise, that is, to a greater extent, production equipment is considered. Given the rapid development of biomedical engineering, the novelty of the study is related to the consideration of the features of medical equipment assessment. The article substantiates the relevance of medical equipment assessment and analyzes the use of different approaches to medical equipment assessment. Based on the analysis of scientific literature and expert survey, the characteristics of different approaches to medical equipment assessment are presented; cost factors, as well as advantages and disadvantages of various assessment methods, are indicated.
Status Aspect of Age: Opportunities and Restrictions
Authors:   Essentuki Institute of Business and Law Management, Yessentuki, Russia, Kilyaskhanov* Magomed Hizrievich , Kilyaskhanov Hizri Shapievich ,   Moscow Region State University, Mytishchi, Moscow region, Russia, Betskov Aleksandr Viktorovich ,   Management Academy of the Ministry of the Interior of Russia, Moscow, Russia, Guk Olga Anatolievna ,   Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia, Buryak Viktor Vladimirovich ,   Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia, Safonova Nataliya Vyacheslavovna ,   Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia
Published: November 2019

One of the most interesting aspects of the problem of age is that it is considered as an objective characteristic. The article discusses the main aspects of social restrictions related to age. The category of age inequality is analyzed. However, the category of age contains in itself an extremely large amount of semantic load, age-related social expectations, stereotypes of perception, and ways of self-identification. Despite the fact that aging is determined by biological processes, the age category itself has acquired a social dimension. At the same time, a set of social conventions associated with age can have both a positive value, associated with the expansion of opportunities and the acquisition of a favorable status, and a negative value. A negative manifestation of social age is to limit the range of opportunities available to members of society and to form a number of age restrictions. Within the framework of the system of social conventions, there are explicit and unwritten prescriptions, which together determine the decline in social activity, in fact, self-exclusion of the elderly from social life.
Technologies for Tourism Development in Russia a nd Kazakhstan
Authors:   Plekhanov Russian University of Economics, Moscow, Russia, Nikolskaya* Elena Yurievna , Dusenko Svetlana Viktorovna ,   Russian state University of physical culture, sport, youth and tourism (scolipe), Moscow, Russia., Belomestnova Margaret Evgenyevna ,   Russian state University of physical culture, sport, youth and tourism (scolipe), Moscow, Russia., Pestova Alina Amirovna ,   Kazakh Academy of sports and tourism, Almaty, Kazakhstan., Imangulova Tatyana Vasilyevna ,   Kazakh Academy of sports and tourism, Almaty, Kazakhstan.
Published: November 2019

The article aims to improve tourism development technologies in Russia and Kazakhstan. The theoretical and methodological basis of the research includes the abstract-logical method, methods of induction, deduction, analysis, synthesis and systematization used to justify the socio-economic aspects of tourism development, graphic methods – to study the level and trends of tourism development, as well as weighing methods – to determine the rating of tourism qualities. The results of the study have showed that it is necessary to use a real economic and industrial approach to tourism development in Russia and Kazakhstan, based on the use of competitive advantages, which are associated with unique culture, rich and diverse nature, and to develop the potential of increased business activity, which offers the opportunity to promote cultural, educational, ecological and business tourism to develop the industry of outdoor activities, such as sports and adventure tourism. It has been proved that in order to develop the tourism industry and its infrastructure that can ensure a steady flow of tourists, taking into account the specifics of the national tourism product in Russia and Kazakhstan, it is necessary to develop transport and road infrastructure for general use, to meet tourist needs, to create tourism complexes, ethnographic museums and recreation areas and to organize the restoration and museumification of historical, cultural and ethnographic monuments.
Examination of Mechanisms of Regional Sust ainable Development Strategy as Exemplified by t he Leningrad Region
Authors:   State Institute of Economics, Finance, Law and Technology, Gatchina, Russia, Zaborovskaya* Olga , Kudryavtseva Tatiana ,   Peter the Great St. Petersburg Polytechnic University, Saint – Petersburg, Russia, Zhogova Elena ,   Peter the Great St. Petersburg Polytechnic University, Saint – Petersburg, Russia.
Published: November 2019

Sustainable regional development can be achieved through balanced use and development of the region's industrial potential, improvement of its socioeconomic performance and drawing up a logical and prudent list of priorities and regional development indicators in strategy papers to ensure consistency with the actual economic situation in the region and maximum utilisation of the available development potential. The above highlights the importance of analysing the region's socioeconomic conditions, identifying the weaknesses in development at the national level in general and priority industries in the region in particular and drawing up regional development scenarios to chart the optimum balanced path during the transition toward the digital interaction environment. The aim of the research is to analyse the content of strategy papers in order to identify priority development directions for the region in question, favourable territories at the microlevel for maximum fulfilment of the regional strategy (i.e. municipalities) and priority industries to support the region's balanced development in the long term. For that, the ranking scoring method is proposed for municipalities, which is based on the parametric analysis. The normative inferences are drawn from quantitative comparisons of statistical data for the region and municipalities, i.e. an aggregate score of a municipality is determined based on the selected criteria, according to which the municipality is assigned its rank. Simultaneously, the values for the Leningrad region as a whole are also presented. The method of calculating the indicators of the basic type of economic activity (an integrated set of indicators) is then used to identify the region's priority industry. As a result, municipalities with high socioeconomic profile are identified in the Leningrad region, which are the Vsevolozhsky municipal district, Sosnovoborsky urban district, Lomonosovsky municipal district and Gatchinsky municipal district. These territories show the strongest potential for implementing the mechanisms of sustainable development strategies. The analysis indicated the following priority industries for sustainable development of the Leningrad region: manufacturing, transport and communications, wholesale and retail trade, real estate transactions and construction. Accordingly, targeted financing of modernisation in these industries would lead to sustainable long-term development in the Leningrad region.
The Contrastive Evaluation On Modern Chinese and Uzbek Vowels
Authors:   Tashkent State Institute of Oriental Studies,Chinese Department, Uzbekistan., jia* Chi Dao , Hashimova Sabohat ,   Tashkent State Institute of Oriental Studies,Chinese Department, Uzbekistan.
Published: November 2019

This paper adopts the four steps of “comparative analysis”.First of all, it summarizes the language of Chinese and Uzbek and its Vowels. Chinese belongs to the “Sino-Tibetan language family” and is an isolated language. The Uzbek language belongs to the “Altaic language family” and is an adhesive language. There are 10 single vowels and 13 diphthongs in Chineselanguage. There are 7single vowels in Uzbeklanguage,andone syllable contains one vowel, that is to say, several vowels have several syllables. Generally speaking, there are 4 diphthongsin Uzbeklanguage. Secondly, the single vowels in Chinese and Uzbek pronunciation are selected for comparative analysis. Then, the single vowels of Chinese and Uzbek are compared and analyzed from the aspects of “pronunciation part”, “ tongue position” and “lip shape”. Finally, based on the similarities and differences between the two vowels, the errors that Uzbek learners may have in Chinese vowels acquisition are predicted, and propose relevant teaching suggestions.
Current Issues of Creating Educational Material for Intensive Teaching to the Uzbek Language of Foreigners
Authors:   Doctor of pedagogical sciences, professor of Uzbek State World Languages University, Tashkent, Uzbekistan., Mukhitdinova Khadicha , Asilova Gulshan ,   doctor of pedagogical sciences, professor of Customs Institute of the State Customs Committee of the Republic of Uzbekistan, Tashkent, Uzbekistan, Salisheva Zilola ,   Head of Department of Uzbek State World Languages University, Tashkent, Uzbekistan, Rakhmatullaeva Malika ,   teacher of school No. 180 in Tashkent, Tashkent, Uzbekistan
Published: November 2019

Every year the interest in the study of the Uzbek language and Uzbek literature is increased in the world. Nowadays, e-learning materials containing a multimedia textbook, a multilingual dictionary, audio of conversational phrasebooks and a glossary of the non-equivalent national-cultural vocabulary of the modern literary Uzbek language are needed for students of the Uzbek language outside Uzbekistan. The authors propose new approaches to the creation of this electronic educational complex.
Topical Issues of an Expert Report in the Process of Proving in a Criminal Examination
Authors:   PhD in law, associate professor at the department of criminal procedure of the faculty of law of the Russian state pedagogical university named after A. I. Herzen, St Petersburg, Russia, Elena* Bryanskaya , Shokhrud Fayziev ,   Doctor of law, associate professor, editor at tadqiqot.uz, Tashkent, Republic of Uzbekistan, Anna Altunina ,   student of the master's degree courses at the law institute of Irkutsk state university, Russia., Alena Matiukha ,   Moscow region chamber of lawyers, lawyer office № 2786, advocate, member of the guild of Russian lawyers, post-graduate student of the department of criminal procedure law in Kutafin Moscow state law university,Russia.
Published: November 2019

This study presents material on an expert report as an independent source of evidence indicative that the examination of evidence is a separate stage in the process of proving. The paper includes examples from investigative and judicial practice and analysis of breaches that occur during the commissioning and performance of forensic examinations. We consider the problem of assessing the reliability of the expert’s conclusions and the methods involved in the examination. Criteria are identified on the basis of which the investigator or the court can assess the reliability of an expert report.
Social Issues of Rational Nutrition
Authors:   Doctor of Philosophy, Professor of the Department of Social Sciences at Tashkent Medical Academy, Uzbekistan., Dusmurod Norkulov , Nilufar Niyozova ,   PhD of Philosophy, Associate Professor of the Department of Social Sciences at Tashkent Medical Academy, Uzbekistan., Alimova Sabokhat ,   PhD of Economic Sciences, Associate Professor of the Department of Social Sciences at Tashkent Medical Academy, Uzbekistan., Abdurakhmonova Nodira ,   Social Sciences Department teacher at Tashkent Medical Academy, Uzbekistan., Karabayeva Dildora ,   Social Sciences Department teacher at Tashkent Medical Academy, Uzbekistan.
Published: November 2019

This paper gives the description of meaning and place of formation of rational nutrition, important features of practical applying productive program in Uzbekistan.
“New Wave” In Uzbek Cinema Art: Expressiveness in Social Realism
Authors:   Senior teacher of department “Systems and applications of TV studios” of Tashkent University of Information Technologies named Muhammad Al-Khwarizmi, Tashkent, Uzbekistan., Sherzod Khusanov , Robiya Tursunmetova ,   PhD doctorant of Uzbekistan State Institute of Arts and Culture, Tashkent, Uzbekistan.
Published: November 2019

The article "Poetical style in Uzbek cinema of 60-70th", is dedicated to a period when Uzbek poetical cinema has occurred, as well as creative activities of great director of that time like A.Khamrayev, cameramen D. Fatkhullin, Y. Klimenko and others. Such films like "White, white storks", "Man follow birds" were analyzed in the article. And is made attempt to define peak of skill of camera art of protruding cameramen of Uzbek's cinema.
Some Pages Development of Entrepreneurship in the Empire of Amir Temur
Authors:   Department Humanitarian sciences Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan, Shohistahon Dr. Prof . Uljaeva , Khojiakbar Dr. Prof . Khamidov ,   Department Humanitarian sciences Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan, Eshmatboy Dr. Kalkanov ,   Associate professor, Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural Mechanization Engineers, Tashkent Uzbekistan, Gulshada Dr. Urazalieva ,   Associate professor, Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural Mechanization Engineers, Tashkent Uzbekistan, Otabek Dr. Normatov ,   Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural Mechanization Engineers, Tashkent Uzbekistan
Published: November 2019

This article discusses the development of entrepreneurship in the empire of Amir Temur. The empire has developed a special program for the development of entrepreneurship. Social protection of the disadvantaged sections of society was an important course of government. Low-income sectors of society are focused on entrepreneurial activities in the field of agriculture, domestic and foreign trade. As a result, the conduct of the state program to improve the living conditions of citizens in the empire creates new entrepreneurial strata of society in rural areas and cities. They played an important role in the trade and economic development of the empire. We must carefully study this topic in the future; it has scientific and practical significance at the modern stage of reform.
Some Features of Public Administration in the Empire of Amir Temur
Authors:   Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan, Uljaeva Dr. Prof. Shohistahon , Nazarov Dr. Prof. Kiyomiddin ,   Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan, Urazalieva Dr. Gulshada ,   Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan, Xudayberdieva Dr. Gulnora ,   Department Humanitarian sciences, Tashkent Institute Of Irrigation And Agricultural MechanizationEngineers, Tashkent Uzbekistan
Published: November 2019

The article analyzes some features of public administration in the empire of Amir Temur. About a century before Amir Temur came to power, significant changes took place in the ethnic composition of the Movarounnakhr population. The invasion of the Mongols in the territory of Central Asia, in turn, contributed to the emergence of new tribes and nations. In particular, in the middle of the thirteenth century there was a migration of ethnic groups of jaloyir, barlos, kavchin and arlot to Central Asia. In the first half of the XIII-XIV centuries some groups of olchin, duglat, mongol, sulduz, oyrot, bakhrin, market, mang’it, kungrad and other tribes moved to Movarounnakhr. Even the Turkic Mongols living in Movarounnakhr gradually forgot the term "Mongol" and called themselves "chigatay." B.Manz, M. Haydar and other authors commented on the role of tribes in socio-political life, career and rank, as well as the great power of Amir Temur in distribution. It is possible to conclude that the tribes’ nobles of Amir Temur were widely involved in the posts.
Integrated Ambulance Service with Advanced Real Time Traffic Control Systems
Authors:   Department of CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Sree* R. Sharmikha , Meera S. ,   Department of CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Valarmathi Dr.K. ,   Department of M.E(CSE), Pannimalar Engineering College, Chennai, Tamilnadu, India., Periasamy J.K. ,   Department of CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
Published: November 2019

Viable and proficient open supplier conveyance like medicinal services contributions are basic in nowadays' general public. Congested driving conditions is one of the significant issues in India in view of which rescue vehicle contributions get influenced on huge amount. Due to defer in its contributions, patients can likewise lose their ways of life and scope of those projections are getting improved each day. "Green Corridor" is the thought by methods for which patient will get required cure on schedule. Envision being in a clinical crisis and hauling out your cellphone, opening an application and mentioning the nearest inactive emergency vehicle with appropriate gadget come select you up. As answer for the current and unattractive requesting circumstances went up against by means of different sufferers in gaining admittance to required therapeutic offices, we've structured and executed a cell-based absolutely clinical crisis rescue vehicle device this is incorporated with a Location based thoroughly Service (LBS) which is out there through the Internet and wi-fi network on cell apparatus. This cell application furthermore offers an on-request, non-crisis logical transportation. The application not best associates clients with the close by inactive therapeutic transportation vehicles, anyway likewise with in transit medicinal teams through literary substance, phone and video calls, to hold them state-of-the-art on patterns. In this way, incorporating cell correspondence into the medicinal services device can adjust social insurance to an additional stature. Our proposed model incorporates both the propelled functionalities required for a Smart rescue vehicle just as organizing different Non-crisis logical conveyance frameworks at the equivalent time.
A Research on Organizational Climate in M.R.Krishnamurty Co Operative Sugar Mill Limited Sethiathope, Cuddalore District
Authors:   Associate Professor and Research Supervisor, Department of Commerce, Govt. Arts& Science College Manalmedu, Mayiladuthurai.DeputedAnnamalai University, Tamilnadu, India., Thamizhselvan Dr.K. , Shakila D. ,   M.Phil research scholar, Department of Commerce, annamalai University, Annamalainagar, Cuddalore district, Tamilnadu, India
Published: November 2019

Organizational climate is the people-oriented climate. It is the climate that fixates on individuals who are working in the organization. An organizational climate refers to the conditions within an organization as viewed by its employee. The word climate conventionally describes the practices involved in communication, conflict, leadership and rewards. It denotes the prevalent postures, values, norms and feelings which the employees have over the organizations. Every organization has an internal and external climate which influences the practice and policies of the management and employees.
Automated Density Based Traffic Light Control System Using Arduino Platform
Authors:   Assistant Professor, Department of ECE, Rajalakshmi Engineering College,Thandalam, Chennai, Tamilnadu, India., J Saranya , J.S Jayashwanth ,   UG Scholar, Department of ECE, Rajalakshmi Engineering College,Thandalam, Chennai, Tamilnadu, India., J Kiran ,   UG Scholar, Department of ECE, Rajalakshmi Engineering College,Thandalam, Chennai, Tamilnadu, India., S Harish ,   UG Scholar, Department of ECE, Rajalakshmi Engineering College,Thandalam, Chennai, Tamilnadu, India., T Linga Kumar ,   UG Scholar, Department of ECE, Rajalakshmi Engineering College,Thandalam, Chennai, Tamilnadu, India..
Published: November 2019

In recent years, traffic Jams has become a serious problem across the globe. Current statistics reveals that, an average person spends around 4-6 months of his/her life by simply waiting for green light during traffic. Also when delay increases, it affects the commuters reach their destination so late resulting in severe consequences on day and day basis. In common, traffic can be controlled in several main junctions by incorporating either automated traffic light control system or through manual intervention by traffic police. However conventional traffic light system which involves fixed time slot allotted to each side of the junction is found to be poor efficient since it does not consider the varying traffic density. At certain instances, priority of the traffic system has to be changed dynamically based on more number of vehicles waiting on the road, arrival of VIP vehicles and ambulance vehicles etc. By considering the above facts, we have proposed an automated traffic light system which has inbuilt potential to prioritize the lane which is heavily congested. Our proposed system includes timer which runs for a specific time period and IR sensor is used to count the number of vehicles passing by during that time period. It also includes LED which is turned green on the lane with more number of vehicles. These peripherals were actuated based on the programming logic that is embedded in Arduino Mega platform. Finally, implementation results for the proposed system are provided in this paper.
Query Expansion For Medical Domain To Augment The Web Search
Authors:   Associate professor, Department of Computer Science and Engineering, Sri Sairam Engineering College,WestTambaram,Chennai, Tamilnadu, India., Uma* R. , Latha Dr. B. ,   Professor, Department of Computer Science and Engineering, Sri Sairam Engineering College,WestTambaram,Chennai, Tamilnadu, India., Valarmathi R. ,   Associate professor, Department of Computer Science and Engineering, Sri Sairam Engineering College,WestTambaram,Chennai, Tamilnadu, India.
Published: November 2019

There has been a huge upsurge in the data available on the web making it voluminous over the last few years. Most users who search the internet for the medical information have no adequate knowledge about the medical domain. Understanding queries plays a huge role in helping users navigate through the abundant data and find the required information. Query feedbacks generally drift from the topic due to the various vocabulary mismatches or due to the ambiguous synonyms. A system has been developed to bridge the gap between expert users and the laypersons. We develop a system where by users query is enhanced by adding terms provided by experts. The appropriate query term is added from a medical expert vocabulary which is selected by the classifier based on the euclidean distance and a term based methodology for deciphering the query reformulation actions. The proposed system performs well in terms of precision and recall.
Hospital Accreditation Questionnaire: Benefits of the Healthcare Professionals and the Organization
Authors:   Professor, Department of Management Studies, Dehradun, Gurukul Kangri University, Haridwar, Uttarakhand, India., Rana* Dr. Surekha , Tyagi Preeti ,   Research Scholar, Department of Management Studies, Dehradun, Gurukul Kangri University, Haridwar, Uttarakhand, India.
Published: November 2019

The aim of this paper is to explore the psychometric properties of the freshly developed questionnaire on Hospital Accreditation. The items were outlined with the support of the previously existing scales and interface with the sampling unit. The questionnaire consisted of sixteen items and this questionnaire was distributed to the participants to take their responses. The sample consisted 110 healthcare professionals of Delhi-NCR hospitals. The results of reliability analysis of scale show that Cronbach’s alpha value is 0.956. The reliability statistics match the optimal level of Nunnally’s criteria and statistically acceptable for freshly developed scale. The exploratory factor analysis show that these sixteen items are loaded on two factors (benefits of the organization and benefits of healthcare professionals) and these two factors explain 70.813% total variance in hospital accreditation. The items of this questionnaire are outlined in such way that this questionnaire can be also valuable tool for assessment of benefits by organization and healthcare professionals from Hospital accreditation.
GlaucoNet: A Highly Robust Stacked Auto Encoder assisted Deep Learning Model for Glaucoma Detection System
Authors:   Research Scholar, Department of ECE, T John Institute of Technology, Bangalore, Patil* Naganagouda , Rao P V ,   Professor, Dept of ECE, VBIT, Hyderabad, T.S., India
Published: November 2019

High pace rise in Glaucoma, an irreversible eye disease that deteriorates vision capacity of human has alarmed academia-industries to develop a novel and robust Computer Aided Diagnosis (CAD) system for early Glaucomatic eye detection. The main root cause for glaucoma growth depends on its structural alterations in the retina and is very much essential for ophthalmologists to identify it at an initial period to stop its progression. Fundoscopy is among one of the biomedical imaging techniques to analyze the internal structure of retina. Recently, numerous efforts have been made to exploit Spatial-Temporal features including morphological values of Optical Disk (OD), Optical Cup (OC), Neuro-Retinal Rim (NRR) etc to perform Glaucoma detection in fundus images. Here, some issues like: suitable pre-processing, precise Region of Interest segmentation, post-segmentation and lack of generalized threshold limits efficacy of the major existing approaches. Furthermore, the optimal segmentation of OD and OC, nerves removal from OD or OC is often tedious and demands more efficient solution. However, these approaches cumulatively turn out to be computationally complex and time-consuming. As potential alternative, deep learning techniques have gained wide-spread attention, especially for image analysis or vision technologies. With this motive, in this paper, the authors proposed a novel Convolutional Stacked Auto-Encoder (CSAE) assisted Deep Learning Model for Glaucoma Detection and Classification model named GlaucoNet. Unlike classical methods, GlaucoNet applies Stacked Auto-Encoder by using hierarchical CNN structure to perform deep feature extraction and learning. By adapting complex data nature, and large features, GlaucoNet was designed with three layers: convolutional layer (CONV), Max-pool layer (MP) and two Fully Connected (FC) layers where the first performs feature extraction and learning, while second exhibits feature selection followed by the reduction of spatial resolution of the individual feature map to avoid large number of parameters and computational complexities. To avoid saturation problem in this work, by marking an applied dropout as 0.5. MATLAB based simulation-results with DRISHTI-GS and DRION-DB datasets affirmed that the proposed GlaucoNet model outperforms as compared to other state-of-art techniques: neural network based approaches in terms of accuracy, recall, precision, F-Measure and balanced accuracy. The overall parametric measured values shown better performance for GlaucoNet model.
Low Cost Computer Vision based Shape Detection in Textile Industries with Robotic Arm
Authors:   Department of ECE, Velammal Institute of Technology, Chennai, Tamilnadu, India., Chitra* R.Jothi
Published: November 2019

This paper presents low cost automation system for textile industries where colour and shape are detected along with pick and place robotic arm. Edge detection techniques and Contour approximation algorithmare used for pattern detection.The main goal is to count the number of samples of each pattern or shapes. This system makes use of raspberry pi with a PI camera. The PI cam is used for capturing the image of the textiles being moved on a conveyor belt. The system is programmed using open CV platform. The simulation results using OpenCV environment coded with Python are presented.
Role o f Literature i n Inclusive Education
Authors:   Research Scholar, Jamal Muhammed College, Trichy-Bharathidasan University, Trichy, Tamilnadu, India., P.K* By. Jayathilakan. , Jinnah Dr. Mohammed Ali ,   Co-author, Asst.Prof, .Jamal Muhammed College, Trichy, Tamilnadu, India.
Published: November 2019

Purpose of this paper is to help the teachers to implement pattern of teaching strategy based on inclusive Education, in the light of using literature as a class –room process. And this study examined relationship between teaching perception of inclusion and their teaching practices. So in this paper I am focusing on how language teacher can overcome the complex, issues, surrounds and challenging situations of inclusive Education in the class –room. Various aspects of learning Disability that can be interacted by intellectual teachers through their professional development. Potential implications of the teaching strategies will help the slow learners and reluctant learners. Every Teacher in the class-room can carry out proper inclusive Education in a common learning Environment. It is also considered to be the development of challenged students is possible based on particular syllabus. The elements of language curriculum, instruction and setting that can be modified for adaptation. I am highlighting the role of literature in inclusive education pertaining to the various aspects of innovative teaching strategies.
Creation of Laboratory Spectral Library of Beryl in Sevapure Area, Kadavur Basin, Karur District, Tamilnadu
Authors:   Centre for Applied Geology, The Gandhigram Rural Institute – Deemed to be University, Dindigul, Tamil Nadu, India., Prem Varsha , B Gurugnanam ,   Centre for Applied Geology, The Gandhigram Rural Institute – Deemed to be University, Dindigul, Tamil Nadu, India., Gopinath Girish ,   Department of Remote Sensing and GIS, Kerala University of Fisheries and Ocean Studies (KUFOS), Kochi, Kerala, India., C Sorna Chandra Devadass ,   Department of Civil Engineering, Samskruti College of Engineering and Technology, Ghatkesar, Hyderabad, Telangana, India.
Published: November 2019

The study aims to create a laboratory spectral library for the mineral beryl by using the spectroradiometer instrument and the Envi software. The mineral collected from Sevapure area of Kadavur Basin. The laboratory spectra were created and matched with the USGS spectral library. For the study of the spectra an imagery file platform is needed and the ASTER data used as the platform. The laboratory spectra formed between 0.556 to 2.4-micrometre wavelengths. The spectral reflectance curve shows the reflectance values from 0.09 to 0.33 micrometres and the high absorption takes place at 0.80 μm. The USGS spectra show the same value at the wavelength and the reflectance value changes as 0.55. Both shows maximum reflectance at 1.00 and the wavelength at 1.65 μm. The spectral library created has used for further studies.
Trust and Privacy Based Authentication Method for Vertical Handoff Decision in Heterogeneous Network
Authors:   Research Scholar (Part-Time), Anna University, Chennai, Tamil Nadu, India., Dhipa* M. , Kalaavathi Dr. B. ,   Professor/CSE, KSR Institute for Engineering and Technology, Tiruchengode, Tamil Nadu, India., Chandrasekar Dr. A. ,   Professor/CSE, Malla Reddy Institute of Technology and Science, Secunderabad, Telangana, India.
Published: November 2019

Next generation wireless networks involve diverse wireless access technologies to support multimedia services to the roaming users with different Quality of Service constraints at anytime and anywhere. The increased number of users and service providers in the integrated network architecture requires authentication mechanism between communication entities to ensure secured handover. The existing security standards of each network are not able to provide most favorable security requirements of the heterogeneous networks because of independent and incompatibility of various wireless networks. Therefore, Trust and Privacy based Multi-attribute Vertical Handoff (TPMVHO) decision algorithm along with Hybrid Genetic Cuckoo Search algorithm to optimize the attributes weight is proposed to select an optimal network for secure handoff mechanism. Simulation results show the reduction in handoff rate, blocking rate and enhanced throughput against Improved Particle swarm optimization based Multi-attribute Vertical Handoff (IPMVHO).
ICA Model o f Densities f or Images ( ICA DGGDD
Authors:   SHIMT (Sitapur), Uttar Pradesh, India., Tandon Dheeraj , Dev Dr. Harsh ,   PSIT (Kanpur), Uttar Pradesh, India., Singh Dr. Deepak Kumar ,   Integral University (Lucknow), Uttar Pradesh, India.
Published: November 2019

In data analysis we use ICA is a basic tool, the aim is that find out a co-ordinate system where are the components of the data are independent.Mostly ICA method such as fastICA and Jointapproximation and diogonalization of eigen matrix (JADE), uses kurtosis as a metric of non gaussianity. But the assumption of kurtosis (fourth order cumulant) may not always satisfies practically. So there are one possible solution is to use skewness (third order cumulant) instead of kurtosis. In this paper we are going to introduce ICA based method, that approach is good for heavy-tailed (fourth order kurtosis) as well as asymmetric data (third order skewness).
Structure of Iris Recognition technique
Authors:   Ph.D.Scholor, Bharath Institute of Higher Education and Research Chennai, Tamil Nadu, India, Shirke Ms. Swati D. , Rajabhushanam Dr. C. ,   Professor, Computer Science & Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Published: November 2019

In many iris recognizable proof frameworks, the total image obtains requirements are understood. These imperatives incorporate close infrared (NIR) enlightenment to release the co-events of surface measures in the mirror plane of human iris, just as closeness in the output lines of a device. In ongoing advances to various light developments presented in images caught in the earth. This condition incorporates an obvious wavelength (VW) light source a good way off over the nearby good ways from the catching device. For precise Iris recognizable proof a ways off, eye images require improvement of successful systems, whereas the light source is situating good ways off after the planar perspective on the iris. Adequately acting a highpoint abstraction system aimed at Close Infrared too Obvious wavelength images, the images are composed unrestrained point. The recognizable proof of iris exactness on the freely accessible database remained estimated here uses Hough transform algorithm to caught utilizing straight extending and turn for standardization. for utilizing towards channel also differentiation stretches the iris areas from multispectral iris images. An essential motivation behind this examination is to encompass a structure and actualize IRIS-recognition a good ways off (IAAD) by embracing a recurrence then Hough Transform change intended for exact element choice [1][2]. Here proposed strategy is depicted as pursues: At first, the information iris image will be exposed in the direction of pre-handling though at the same time separating highpoints with contrasts from neighborhood extrema also highest conditions. [3][4].
Flood and Drought Prediction Using the Machine Learning Algorithm Support Vector Regression
Authors:   PG & Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, T.N, India., Sangeetha* K. , Mohankumar K. ,   Head, PG&Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, T.N, India.
Published: November 2019

Flood and drought are frequently happening natural disasters in most of the countries. These disasters can cause considerable damage to agriculture, ecology and economy of the country. Mitigating the impacts of flood and drought is a valuable help to the human being. The main cause of these disasters is precipitation. If the past precipitation data are analyzed properly, the future flood and drought events can be easily found. Prediction using the Standard Precipitation Index (SPI) is a way to find the wet or dry condition of a region or country. In this paper the SPI values with different lead times are calculated for a long period of time. These SPI indices are analysed by a predictive model using the machine learning algorithm called Support Vector Regression (SVR) with RBF (Radial Basis Function) kernel. In this model the Grid Search approach is used for optimization. The forecast result of this predictive model shows the predictive skill of the SVR-RBF kernel.
Home Automation using Brain Computer Interface for the Physically Challenged
Authors:   Department of ECE, VRSEC, Vijayawada, India., Yaddanapudi* Sarada Devi , Sneha K ,   Department of ECE, VRSEC, Vijayawada, India., Teja S Sai Kamal ,   Department of ECE, VRSEC, Vijayawada, India.
Published: November 2019

A Brain-Computer Interface (BCI)is labeledas Mind-Machine Interface (MMI) or a Brain-Machine Interface (BMI). It affords a non-muscular channel of messagein between the computer and a human brain. Using the enhancements in interface equipment to electronics,and the necessity to helpindividuals suffering from disabilities, a new area in this study has begun by acceptingtasks of brain. The Electro-Encephalogram (EEG) is an electrical activity created by brain structures and verified from the scalp using electrodes. The EEG signal is used in actualspell to accomplishperipheral devices using a broad BCI system. The post-processed output signals are converted to suitable instructions to regulate output devices. The main seek is to aidparalyzed and physically immobilizedpersons to govern the home appliances making use of Electro-Encephalogram (EEG) signals, such that they grow to beautonomous. According to the brain responsiveness the devices can be designated then usingrelays, the switching of the home-basedmachinescan be completedconsequently.
Hand Gesture Identification and Recognition using Modern Deep Learning Algorithms
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India., Lakshmi* M , Sahithi G Sree ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India., Pravallika J Lakshmi ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India., Prakash Kolla Bhanu ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India.
Published: November 2019

In this paper, we proposed an approach towards the real-time hand gesture recognition using the Gaussian Mixture-based Background / Foreground Segmentation Algorithm. We proposed a method for feature extraction by using measurements on joints of the extracted skeletons. The proposed algorithm will build a background subtract model to get the foreground image. We applied Gaussian blur to the foreground image and threshold for binary images. The contour hull and convexity are used to build a 3D image of the hand gesture recognition. We constructed a dataset and defined the gestures. We trained them by gesture classifiers by some assumptions such that those can be easily understood. Experimental results proved the effectiveness and potential of our modern deep learning approach.
Colour Texture Analysis of Face Spoof Detection using CNN Classifier
Authors:   Department of ECE, JNTUK, Kakinada, India., Bojja* Suresh , Prakash K Naga ,   Department of ECE, Gudlavalleru Engineering College, Gudlavalleru, India.
Published: November 2019

The emphasis on analysis of various research schemes of non – intrusive software based face spoofing detection is now a days gaining reputation in image and video processing tools. The analysis on luminance(Y)data of the various face images which provides the discrimination of forged faces from genuine faces by removing the chroma component. Here the work provides an innovative approach that perceives spoofed face using texture analysis (colour)by exploiting combined colour texture information from various channels such as luminance and chrominance. This helps to exploit joint information by removing degraded feature metaphors from dissimilar colour models.Precisely the featured histograms are figured over all images that obtained from the YCrCb colour model band distinctly.The concatenation of testing and training by using Neural Network for classification of spoofed images by the concept of blending of images gives the best possible outcomes. Wide-ranging researches on face data bases is most interesting target datasets paves the way for best processing face spoofing results than state of art. The proposed method gives stable performance when compared with the most unlike methods that conferred in the literature survey. The promising outcomes of evaluation suggests that facial colour texture depiction is added steady strange conditions associated to gray-scale complements.The favourableoutcomeswereattained using these CNN(Convolution Neural Network)designs for face antispoofing in diversesituations.
Identity based Scheme A gainst Sybil Attacks in Wireless Sensor Networks
Authors:   AMET University, Chennai, Tamilnadu, India., Sujatha* V. , Anita E.A. Mary ,   Professor, Department of IT , S.A. Engineering College, Chennai, Tamilnadu, India.
Published: November 2019

Wireless sensor networks are insecure against various security attacks. One such harmful, yet easy to promote an attack is the sybil attack which creates multiple identities to achieve access to the wireless sensor networks. A new identity based scheme to provide security against Sybil attacks is proposed in this paper. It detects as well as broadcast information about the attackers to all the nearby sensor nodes. Expensive MapToPoint and pairing operations are not used in this scheme to reduce overheads. It also provides other essential security features. Aggregate-verification to verify several messages at the same time is also proposed in this paper. The performance of the proposed scheme is compared with other recent schemes and the results show that the proposed scheme has reduced amount of overheads and better performance.
Automatic Prediction of Age group from Frontal Facial Images
Authors:   Research Scholar, Department of Computer Science and Engineering, Annamalai University, Chennai, Tamilnadu, India., Abirami B. , Subashini Dr. T. S. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University, Chennai, Tamilnadu, India.
Published: November 2019

Methods to automatically assess the age group of a person using his/her frontal facial image are proposed in this paper. This work is done for three major ethnicities: African, American and Asian with five different age-groups such as (1-10 years), (11-30 years), (31-50years), (51-70 years), (71-100 years). The performances of the classifiers were tested with face images of African, American and Asian population belonging to both genders. For this, first the facial parts such as the left eye, right eye, nose, mouth etc., are detected using the well-known Viola Jones Object Detection technique.450 sample images of the FERET database were considered for this study. Histogram of Gradient (HoG) and face-structure features are extracted and modeled using ANN and SVM. The efficiency of the proposed methods was tested with the facial images of various races belonging to different age-group and gender. Artificial neural network gave an accuracy of 92.10% whereas support vector machine gave an improved accuracy of 94.60%.
Effective Teaching using Modern Technologies i n General English Classrooms
Authors:   Department of English, The Madras Sanskrit College, Mylapore, Chennai, Tamilnadu, India., Visalam* G.
Published: November 2019

Language is one of the vital ingredients in pursuing Education. Many people know the concept but they do not know how to communicate. If they communicate with lack of knowledge in using the Technologies that are available in the modern World, that will not suffice. Communicating in English language illuminates the official decorum. The communication and usage of tools differs from person to person. This paper will help the students to communicate in English Language in a better way. Further the aid of technology will eventually give a giant leap in the personal growth of an individual.