bluuebunny/crossref_metadata_2025 huggingface dataset:
Кастамону — история провинциального центра на западном побережье Черного моря
Authors: Meyer M.S.
Published: January 2020

Аннотация Выбор темы для статьи объясняется двумя основными обстоятельствами: первое представляют немалый интерес, но мало известны материалы поездки Мустафы Кемаля в Кастамону в августе 1925г. Ее смысл состоял в том, чтобы убедить местных мужчин заменить прежний головной убор (греческая феска) на европейскую шляпу, а женщин уговорить отказаться от традиционной душной одежды, которая закрывала почти все лицо. Усилия Кемаля не имели в то время успеха, особенно среди женщин, но сегодня ситуация совершенно иная. Второй сюжет также связан с Кастамону, в XIIIв. являвшимся столицей провинции Пафлагонии, в связи с организацией там морской экспедиции к Крыму. Добравшиеся до крымского порта Судак греки вступили в торговые и политические контакты с местными татарами, а также с южнорусскими переселенцами. Таким образом, можно считать, что греки из Кастамону выступали в качестве, возможно, первых партнеров русских переселенцев в освоении Черного моря. Работа основана на оригинальных и малоизвестных свидетельствах, а также на трудах российских, турецких и западных авторов.

Abstract The theme for the article has been chosen because of two main storylines: the first one is Mustafa Kemals trip to Kastamonu in August, 1925, which is little known despite being of considerable interest. The point of this trip was to convince local men to replace their Greek fez headgear with European-style hats and to persuade the local women to abandon their traditional stifling clothes which covered their faces. Kemals efforts were not successful back then, especially among the women, but today the situation is completely different. The second story is also related to Kastamonu, which was the capital of the Paphlagonia province in the 13th century, and it tells of maritime expeditions to Crimea. The Greeks who reached the Crimean port of Sudak established good trade and political contacts with the local Tatars, as well as with immigrants from Southern Russia. It could be argued that the Greeks from Kastamonu were the first people to partner with the Russian immigrants in the development of the Black Sea. The work is based on original and little-known evidence, as well as the works of Russian, Turkish and Western authors.
Eunuchs in the Ottoman Empire
Authors: Hathaway J.
Published: January 2020

Abstract This article surveys the employment of eunuchs in the Ottoman Empire. After placing the use of court eunuchs in a global historical context, the study turns to the earliest eunuchs in Ottoman employ, who were probably Byzantine prisoners of war. By the early fifteenth century, East African harem eunuchs had become an important element of the palace eunuch population, and the article discusses their procurement and castration. The construction of Topkap Palace in newly-conquered Constantinople during the 1450s laid the ground for the dichotomy between African harem eunuchs and white Third Court eunuchs. An equally important watershed occurred in the late sixteenth century, when the Chief Harem Eunuch assumed the supervision of the imperial pious endowments for Mecca and Medina, making him one of the most powerful figures in the empire. By the late seventeenth century, deposed Chief Harem Eunuchs often commanded the eunuchs who guarded the Prophet Muhammads tomb in Medina. The influence of all palace eunuchs decreased during the eighteenth century, as the grand vizier acquired ever more control over the empires administration. Nineteenth-century reforms dealt a permanent blow to the harem eunuchs authority, which ended entirely when the Young Turks disbanded the harem in 1909.

Аннотация Статья рассматривает вопрос о привлечении на службу евнухов в Османскои империи. После общего обзора роли придворных евнухов в глобальном историческом контексте, исследование обращается к первым евнухам на османскои службе, которые вероятно были византиискими военнопленными. К началу XV в. восточно-африканские евнухи гарема стали важнои фракциеи среди дворцовых евнухов в статье рассматривается методика их отбора и кастрации. Строительство дворца Топкапы в недавно завоеванном Константинополе в 50-х гг. XV в. положило начало дихотомии между африканскими евнухами Гарема и белыми евнухами Третьего Двора. Не менее важным рубежом становится и конец XVI в., когда старшии евнух Гарема принял на себя обязанности по управлению имперскими благотворительными пожертвованиями в Мекку и Медину, что сделало этого сановника одной из самых могущественных фигур империи. К концу XVII в. низложенные главные евнухи Гарема часто принимали командование над евнухами, охранявшими гробницу Пророка Мухаммеда в Медине. Влияние дворцовых евнухов оказывается ослабленным в XVIII столетии, по мере того как великии визирь получал все большую власть над управлением империи. Реформы XIX столетия нанесли решающии удар по власти евнухов Гарема, которая полностью сошла на нет при расформировании его младотурками в 1909 г.
Феномен «путешествия в поисках знания» в османской культуре
Authors: Krayushkin N.R.
Published: January 2020

Abstract In the 16th and 17th centuries Ottoman Turks conquered most countries of the Middle East and North Africa and reached Vienna. As а result, the power of Istanbul was established in the heterogeneous spaces of the Mediterranean. The seized territories in Europe became part of Dar al-Islam, increasing the area of direct spread of the Arab-Muslim spiritual tradition. In this context, the journey in search for knowledge (rihla) acquired special significance it contributed to the intensification of cultural and intellectual life of the Ottoman society and establishment of its ideological unity. The author examines the materials from the treatises of Medina theologian Muhammad Kibrit, Istanbul explorer Evliya Celebi and Damascus Sufi Abd al-Ghani al-Nablusi, who travelled through the territory of the Ottoman Empire in the 17th century, to explore the main pilgrimage routes and cultural centers of the region. The goal of this article is to analyze the content of civilizational exchange and to identify basic characteristics of new Ottoman cultural experience.
La estilización del yo en redes sociales: la proyección on-line de la identidad personal como artificio semiótico.
Authors: Moreno Barreneche Sebastián
Published: January 2020

Los procesos de incorporación de innovaciones tecnológicas en la vida cotidiana implican el establecimiento de nuevas prácticas y, con ellas, de nuevas formas de significación. En este artículo discuto algunos de los mecanismos involucrados en estas nuevas formas de significación. En la primera sección del artículo presento un marco teórico analizar las prácticas de autorepresentación on-line, para luego proceder a la discusión del rol que la estilización –y con ella, la normatividad– desempeña la actual cultura que Sibilia (2008) llama ‘show del yo’. En la última sección, a partir del ejemplo de la creación de perfiles personales, analizo cómo la estilización se ve reflejada en el uso de Tinder y Facebook.
Sentidos del intervalo: el giro digital en la semiótica de las culturas
Authors: Leone Massimo
Published: January 2020

Las culturas cambian a medida que nuevos instrumentos de significación y comunicación surgen y se desarrollan en su interior, dando lugar a formas novedosas de inscripción y circulación del sentido. Nuevas tecnologías de la comunicación se implementan para satisfacer exigencias específicas de interacción humana, pero a menudo producen efectos socioculturales imprevistos. Las culturas contemporáneas siguen siendo, en gran medida, no digitales; por ejemplo, los individuos siguen viviendo en medioambientes urbanos materiales; sin embargo, las ciudades y, más en general, toda la herencia de las civilizaciones antiguas se está transformado bajo el influjo de las nuevas modalidades de comunicación digital. El ensayo se enfoca en dos cuestiones: ¿qué puede hacer la semiótica para el conocimiento de las culturas digitales? ¿Qué pueden hacer las culturas digitales para el mejoramiento de la semiótica?
KAJIAN MUTU BAKSO IKAN TUNA YANG DISUBSTITUSI TEPUNG KARAGENAN
Authors: Sitepu Moon Ayu Kawanari , Mewengkang Hanny Welly , Makapedua Daisy Monica , Damongilala Lena Jeane , Mongi Eunike Louisje , Mentang Feny , Dotulong Verly
Published: January 2020

Fishball is a fish product that knows for their distinctive taste and chewy texture. The quality of fishball greatly affects the attractiveness of consumers to consume it, regarding the taste and aroma. The ingredients of fishball that have properties as an emulsifying is  carrageenan. The purpose of this study was to determine the quality of tuna fishballs substituted with carrageenan flour with different concentrations and storage times. The treatment design used was RAL (completely randomized design) which consisted of 4 different concentration treatments of added carrageenan, for 0%, 1%, 2% and 3% with 2 days of storage and 2 times repetition. The quality parameters were organoleptic test, water content, pH and TPC (Total Plate Count). The results showed that the addition of carrageenan affected the water content and pH of fishballs. Tuna fishballs with the addition of a concentration of 2% are the best products with an average value of organoleptic values: 6.58; water content: 71.63; pH: 5.46; and TPC: 2.6 × 10 4. Water content in fishballl is not met SNI quality requirements. Total bacteria (TPC) in fishballs met SNI quality requirements.Keywords: tuna fishballs, carrageenan
A Cost Effective Mathematical Model for Strategic Workforce Planning
Authors:   Associate Professor, Dept of Computer Science, M.O.P.Vaishnav College for Women (Autonmous), India., Iyer K B Priya , Felix Dr Fernandes Jayshree ,   Associate Professor & Head Dept. of Mathematics, M.O.P. Vaishnav College for Women (Autonomous), India
Published: January 2020

Strategic workforce planning has become increasing essential for modern organisations. It is the key approach used by organisation to improve and maintain the capabilities of its workforce. However many experts distinguish between Training and Development, being that training tends to be more closely focused and adapted demands short-term performance concerns, while development tends to be adapted more towards expanding an individual skills for future responsibilities. Enhancement of skills through training programmes leads to different performance results. The success of any training organisation depends on the number of customers who have enrolled for the training programmes. This paper presents novel mathematical models and algorithms to accurately represent and efficiently solve workforce planning problems. The paper emphasizes on the optimum allocation of suitable trainer operational hours and minimise the cost of conducting the programme. A cost function derived is based on the assumption and the minimum cost is obtained satisfying the constraints. Lagrangian multiplier method is employed to find the minimum cost. In this paper, the efficiency of the organisation is analysed by using the relative service efficiency method and cost model is derived.
A Compound Reconfigurable Solid State Planar Plasma Antenna
Authors:   Department of Electronics Engineering, Pondicherry University, Pondicherry, India., Perumal Ranjith , Alluri Srinivasarao ,   Department of Electronics Engineering, Pondicherry University, Pondicherry, India., Rangaswamy Nakkeeran ,   Department of Electronics Engineering, Pondicherry University, Pondicherry, India.
Published: January 2020

In today’s modern wireless era, reconfigurable antennas play a vital role for functioning under selective frequency bands, different polarizations and radiation patterns according to the users’ application. This article, gives an insight on solid state plasma planar compound reconfigurable antenna for military radar applications at X-band by using array of Lateral PIN (LPIN) diodes. Silicon-dioxide (SiO2) is used as substrate and proximity coupled feeding technique is chosen to avoid biasing problem in LPIN diodes and also to have compatibility with processing on a standard silicon process. The proposed antenna comprises of a square metallic patch placed above the substrate with linear array of LPIN diodes at adjacent sides of patch to provide fine and coarse tuning in frequency over the range of 8-12 GHz and LPIN diodes placed in the ground plane to provide pattern reconfiguration. Hence, the antenna with compound reconfigurability converges to a solution, where a single antenna satisfies the needs for multiple applications.
Assessment of Groundwater Quality in Al’am District using the Canadian Water Quality Index
Authors:   Department of Environmental Engineering, College of Engineering, Tikrit University,, Karaghool Haneen A. Kh. , Alabdraba Waleed M. Sh. ,   Department of Environmental Engineering, College of Engineering, Tikrit University, Tais Abdulla S. ,   Department of Civil Engineering, College of Engineering, Tikrit University, Ameen Mohammed H. ,   Department of Environmental Engineering, College of Engineering, Tikrit University
Published: January 2020

The study assesses groundwater quality characteristics in Al’am District which is a part of Salah al-Din Governorate, by use of the Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI). The samples were taken from six groundwater wells for the assessment and sampling was done at six months per year. Based on CCMEWQI calculated values, the six wells from which the samples collected were in poor rank for drinking purpose. The prime causes of deterioration groundwater quality are total dissolved solids (TDS), and total hardness (TH). This study suggested further improvement and continuous monitoring for the groundwater in the study area to provide safe drinking water.
An Information Secure Attribution Model for Observing Spurious Drugs in Health Care Organization
Authors:   Associate Professor & Dean, IT Department, MCA, Gurunanak Arts and College (Autonomous), Madras University Velachery, Chennai-600042 (Tamil Nadu) India., V. Dr. Kumaraguru P. , D. Dr. Elantamilan ,   Assistant professor, Department of MCA, Gurunanak Arts and Science College (Autonomous), Madras University Velachery, Chennai-600042 (Tamil Nadu) India.
Published: January 2020

The goal of the paper is to propose an appropriated secure provenance framework to check the dependability of the medications in the midst of misleading and fake medications. There are various Drug and Cosmetic Acts in the nation for the control of illegal medications however over 58% of the medications are not certified which requires a circulated provenance framework with high level of information security. Aside from the client mindfulness and extreme discipline for such unlawful exercises, an on request administration which will help the end client to know the starting point of the medications, the different changes during preparing and the last vendors. The safe provenance model tends to least loss of security of the pharmaceutical assembling organizations to improve the dependability of the item and furthermore the individuals. The model is actualized as a portable sending model with verified provenance against potential assaults in various health care industry particularly initiating spurious drugs with respect to various scenario
A Software Defined Network Based Energy-Efficient Model for Internet of Things
Authors:   Assistant Professor, Academy of Maritime Education and Training Deemed to be University (AMET University) Chennai, India., Helen Dr. D. , Shebija G. Jijilin Jebho ,   Assistant Professor, Kings Cornerstone International College, Chennai, India.
Published: January 2020

Internet of Things (IoT) is a new platform that provides the communication among heterogeneous objects. The aim of theIoT is to allow anything can communicate with anywhere at any time to share the information. Generally, devices in IoT are equipped with limited power. The power failure of single node changes the entire network architecture in the IoT framework. To attain an efficient routing, there is a need to design energy-efficient routing algorithm for IoT heterogeneous objects. The proposed Software Defined Network based Energy-Efficient Routing Protocol (SD-EERP) takes care to reduce energy consumption and transmission overhead of monitoring every device in the IoT paradigm. The aim of the proposed SD-EERP algorithm is to enhance the lifetime of the devices by choosing the energy-efficient path to reach the target device. The proposed model implements the Software Defined Network (SDN) based cluster architecture. The cluster head selection is based on residual energy and speed.All the cluster heads connect to the SDN controller to manage the entire network architecture.The simulation results show the proposed algorithm can minimize the energy consumption and increase the packet delivery ratio when compared with SCBRP.
ACTSMLT: Automatic Classification of Text Summarization using Machine Learning Technique
Authors:   research scholar in the department of Computer Science Engineering, University Visweswaraya College of Engineering, Bangalore, India., S Ramya R , M Darshan ,   Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India., Santosh Dr. Sejal ,   Nimbhorkar is currently working as an Associate Professor at B N M Institute of Technology, Bangalore, India., R Venugopal K ,   Principal, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India., Iyengar S S ,   Professor, Florida International University, USA., Patnaik L M ,   Professor, Indian Institute of Science, Bangalore, India.
Published: January 2020

In today’s world, due to the steep rise in internet users, Community Question Answering (CQA) has attracted many research communities. In order to provide the correct and perfect answer to the user asked question from a given large collection of text data, understanding the question properly to suggest a precise answer is a challenging task. Therefore, Question Answering (QA) system is a challenging task than a common information retrieval task done by many search engines. In this paper, an automatic prediction of the quality of CQA answers is proposed. This is accomplished by using five well known machine learning algorithms. Usually, questions asked by the user are based on a topic or theme. We try to exploit this feature in our work by identifying the category of the question posted and further map with the corresponding question. Similarly, for the answers posted by the multiple user’s are processed as answer for category mapping. Here, the results show that for Question Classification (QA), Linear Support Vector Classification (LSVC) is found to be the best classifier and Multinomial Logistic Regression (MLR) is the most suitable for Answer Classification (AC). The MS Macro dataset is used as the underlying dataset for retrieving and testing the question and answer classifiers. The Yahoo Answers are used as a golden reference during the testing throughout our experiments. Experiments results show that the proposed technique is efficient and outperforms Metzler and Kanungo’s (MK++) [1] while providing the best answer summary satisfying the user’s queries.
Effect of Diethyl Ether on Combustion and Emission Characteristics of Biodiesel Blend B20 Algae Oil
Authors:   Research Scholar, Department of Mechanical Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Salem, Tamil Nadu, India., Singh Mr. Sanjay , Prabhahar Professor Dr. M. ,   Teaching Faculty, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, Chennai, India.
Published: January 2020

Emission of carbon dioxide gases and damages occurring to the protective layers of the atmosphere due to the presence of pollutants like methane, chlorofluoro carbons etc. are the reasons for the Governments to adopt stricter emission norms. In the present situation where global warming is at an alarming level, there is a need to have alternate fuel which can reduce harmful emissions to a considerably low and acceptable level. Blends of B20, B40 and B100 algae oil are tested in variable compression ratio diesel engine and compared with diesel for its combustion, mechanical properties and emission performance. The performances of B20 blend are found closer to the performance of fossil fuel diesel and the blend is found suitable as one of the choice for the alternate fuel. Blend of B20 is further tested by adding 10% diethyl ether and an improvement in mechanical and emission characteristic is observed.
Method of Patternmaking in Fashion Institution and Fashion Industry
Authors:   Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor., Kiong Tee Tze , Zain Elia Md ,   Universiti Tun Hussein Onn Malaysia. Batu Pahat. Johor., Puad Farah Najwa Ahmad ,   Universiti Tun Hussein Onn Malaysia. Batu Pahat. Johor., Heong Yee Mei ,   Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor., Azid Nurulwahida ,   Universiti Utara Malaysia, Sintok, Kedah.
Published: January 2020

There are many approaches and procedures that can be used to create patternmaking in higher education institutions and the fashion industry. Literature demonstrates that there are several methods that essentially generate patterns such as draping, flat patterns and Computer Aided Design (CAD) that include 2D and 3D applications. Many Malaysian institutions are studying patternmaking using flat pattern and draping [4], which is different from the fashion industry using CAD software. In order to produce skilled workers in the field of patternmaking, they must learn and apply the pattern-making techniques and methods well so that they do not have any problems when it comes to working in the industry or the education sector. This study describes the basic method, process and CAD software that can be used in the field of patternmaking.
Implementation of Leakage Power Reduction Techniques in Field Programmable Device
Authors:   Department of Electronics and communication Engineering, 1RISE Krishna Sai Gandhi Group Of Institutions, NH16, Valluru, Andhra Pradesh, India, Chittem Sandeep , Prassanna Seshapu ,   Department of Electronics and Instrumentation Engineering, Vignan Institute of Technology and Science, Near Ramoji film city, Deshmuki Village, Yadadri, Bhuvanagiri, Telangana, India, Konapally Prem Sagar ,   Department of Electronics and Instrumentation Engineering, Vignan Institute of Technology and Science, Near Ramoji film city, Deshmuki Village, Yadadri, Bhuvanagiri, Telangana, India, Srinivas Papani ,   Department of Electronics and Instrumentation Engineering, Vignan Institute of Technology and Science, Near Ramoji film city, Deshmuki Village, Yadadri, Bhuvanagiri, Telangana, India
Published: January 2020

This paper provide a summary of low-power technique for field-programmable gate arrays (FPDs). It cover system level propose technique as well as device level propose methods that have besieged present trade devices. In addition to describe present investigate happening circuit level as well as architecture-level create technique. Current studies on power model as well as on low-power computer-aided design (CAD) are also information. At last, it proposes that would allow the use of Field Programmable Device (FPD) equipment in applications where power and energy consumption is critical, such as mobile devices.
Recent Advancement in Mobile Payment Security Systems
Authors:   Assistant professor, Amity University Haryana, India., Dhamija Ms. Deepika , Bharti Dr. Anu ,   Dean of Engineering, Sunrise University Alwar, Rajasthan, India.
Published: January 2020

The recent advancements in Information Technology have brought considerable changes in the way tasks are accomplished across the globe. The world has become a more connected place and a major impact as well as reason of this can be attributed to the steep rise in the usage of mobile devices. Mobile devices are being used for online payments in the form of shopping, money transfers, bill payments and what not. The majority of monetary transactions on the Internet now take place through mobile devices and therefore, mobile payment systems being wireless systems calls for an even more secure protocols and payment environment. Although the various security protocols available today boast of implementing the security requirements i.e. data confidentiality, integrity, non-repudiation, authentication and authorization, still the security of m-commerce transactions remain a major concern for mobile payment users. A number of m-commerce security techniques, models and protocols have been proposed by authors in recent past. This paper presents the recent advancements of the models and techniques authors proposed and the technologies and protocols used in these models. The paper also highlights the open areas of research in the field.
Implementation of Improved Association Rule Mining Algorithms for Fast Mining with Efficient Tree Structures on Large Datasets
Authors:   Research Scholar, Dept of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), Chennai., Naresh P. , Suguna Dr.R. ,   Professor, Dept of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), Chennai.
Published: January 2020

ARM is a significant area of knowledge mining which enables association rules which are essential for decision making. Frequent itemset mining has a challenge against large datasets. As going on the dataset size increases the burden and time to discover rules will increase. In this paper the ARM algorithms with tree structures like FP-tree, FIN with POC tree and PPC tree are discussed for reducing overheads and time consuming. These algorithms use highly competent data structures for mining frequent itemsets from the database. FIN uses nodeset a unique and novel data structure to extract frequent itemsets and POC tree to store frequent itemset information. These techniques are extremely helpful in the marketing fields. The proposed and implemented techniques reveal that they have improved about performance by means of time and efficiency.
Securing the IOT Devices with Artificial Immune System
Authors:   Pursuing Post Graduation student, computer science program, Rajasthan college of Engineering for women's, Jaipur., Shree Bhagya , Bhakar Suman ,   Assistant Professor, Cumputer Science Department, Rajasthan College of Engineering for Women, Jaipur.
Published: January 2020

Security is the main concern for IOT devices as are expected to share a lot of crucial information about the user and his surroundings. The traditional security mechanisms are ineffective against sophisticated and advanced security attacks such as Man in the Middle Attack, Denial of Service attack, Identity cloning. Different solutions have been proposed for user authentication. Device authentication is crucial in IOT environment and cannot be neglected. Despite this device authentication has not gained equal attention from the research community. The aim of this research is to develop a lightweight and robust device authentication algorithm by Artificial Immune System to ensure data integrity in IoT networks. The concepts of Artificial Immune system are utilized for generating a non-redundant device signature which is used to differentiate between authentic and malicious nodes. The device signature is generated dynamically and is non reusable. This property makes the proposed algorithm secure against numerous high-level attacks such as frequency analysis attacks, Man in the Middle attack, side channel attacks, Denial of Service attack. The developed algorithm is tested in real time and prevents malicious nodes from entering the network. In addition to being immune against the high level attacks the proposed algorithm functions with low communication cost. The proposed algorithm can be used for providing security in IOT devices with limited battery life and processing power such as IOT enabled and remotely deployed Wireless Sensor Networks for forest fire detection, power plant monitoring , remote military applications and many others.
Classification among Microaneurysms, Exudates, and Lesion free Retinal Regions in the Eye Images using Transfer Learned CNNs
Authors:   CSE Department, Graphic Era Deemed to be University, Dehradun, India., Gupta Siddharth , Panwar Avnish ,   CSE Department, Graphic Era Deemed to be University, Dehradun, India., Goel Silky ,   CSE Department, UPES, Dehradun, India.
Published: January 2020

When pancreas fails to secrete sufficient insulin in the human body, the glucose level in blood either becomes too high or too low. This fluctuation in glucose level affects different body organs such as kidney, brain, and eye. When the complications start appearing in the eyes due to Diabetic Mellitus (DM), it is called Diabetic Retinopathy (DR). DR can be categorized in several classes based on the severity, it can be Microaneurysms (ME), Haemorrhages (HE), Hard and Soft Exudates (EX and SE). DR is a slow start process that starts with very mild symptoms, becomes moderate with the time and results in complete vision loss, if not detected on time. Early-stage detection may greatly bolster in vision loss. However, it is impassable to detect the symptoms of DR with naked eyes. Ophthalmologist harbor to the several approaches and algorithm which makes use of different Machine Learning (ML) methods and classifiers to overcome this disease. The burgeoning insistence of Convolutional Neural Network (CNN) and their advancement in extracting features from different fundus images captivate several researchers to strive on it. Transfer Learning (TL) techniques help to use pre-trained CNN on a dataset that has finite training data, especially that in under developing countries. In this work, we propose several CNN architecture along with distinct classifiers which segregate the different lesions (ME and EX) in DR images with very eye-catching accuracies.
Identifying and Grouping Abnormalities in Medical Images using Shortest Path Algorithms
Authors:   Professor, Department of Computer Science and Engineering, Vignan’s Nirula Institute of Technology Science and Women, AP, India, Sujatha Dr.V. , Chaitanya P.Silpa ,   Asst.professor, Department of Computer Science and Engineering, Vignan’s Nirula Institute of Technology Science and Women, AP, India, Pavani N. ,   Asst.professor, Department of Computer Science and Engineering, Vignan’s Nirula Institute of Technology Science and Women, AP, India
Published: January 2020

The majority of the patient conclusion rotates around in distinguishing variations from the norm in their particular restorative pictures. These pictures are of different kinds, likely Ultrasound, CT Scan, MRI and infinitesimal pictures like bio-synthetic slides, smaller scale organic slides and neurotic slides. Barely any irregularities are cracks, awful cells in blood, tumors, contagious recognizable proof and so on. Finding the unusual segments, abnormalities in these pictures needs aptitude by the doctor; this adept recognizable proof advances and ensures sound drug by the doctor or specialist to persistent. In medicinal infinitesimal pictures ordinary bits and strange segments are combined. None of the irregular segments are identified with strange and typical parts of picture for example deviations are dissipated among ordinary bits of picture. These deviations are absent in certain bits for explicit region in the pictures. None of these deviations are covered nor can be gathered into a solitary segment physically in the picture. Deviations can be segregated alongside typical segments of pictures. Recognizing such deviations incompletely goes under bunching. This venture recognizes deviations in Medical Microscopic pictures. These deviations can be distinguished outwardly which uncovers about the nearness of deviation however to know the level of deviation in an example picture is basic. So as to accomplish this all deviations must be associated. This task interfaces all deviations utilizing Shortest Path calculation and bunches utilizing Hierarchical Clustering calculations.
BLDC Motor Speed Control using Fuzzy Logic PID Controller and Comparing It With PI Controller
Authors:   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Kumar C Akshay , Harijan Bachcha Ram ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Kumar M Kiran ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Bharathi Manne ,   Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: January 2020

In this project, mathematical model of the Brushless DC motor (BLDC) is developed and the closed-loop Fuzzy PID controller has been simulated in MATLAB-Simulink environment. The three-phase (BLDC) is developed and the DC power is supplied to this machine though six step inverter whose switching state is controlled by the hall signal. The hall effect sensor senses the rotor posit ion of the motor and it generates binary digit number which is decoded and given to the six-step inverter. The mathematical model is developed using the back emf equations and torque equation of the BLDC motor. The PI controller doesn’t operate properly during dynamic state and hence the fuzzy-PID-controller is better option to control and regulate the speed of the BLDC motor which has high performance in comparison to the PI controller. And, we can get the smooth speed-torque characteristics using Fuzzy PID controller.
By using MADALINE Learning with Back Propagation and Keras to Predict the Protein Secondary Structure
Authors:   Assistant professor, Computer Science & Engineering Department, IMS Engineering College, Ghaziabad ,India, Agarwal Shivani , Agarwal Pankaj ,   Head, Computer Science & Engineering Department, IMS Engineering College, Ghaziabad, India
Published: January 2020

Understanding of intermediate protein structure prediction serves as a crucial component to find the function of residues of amino acid. In this paper, focus on the intermediate protein structure by using feed forward and feedback method and enhancing the concept of sliding window. Prediction of secondary structure is a very cosmic problem of bioinformatics. This can be reduced by predicting or unfold the protein structures if it is unfolded so that can give the great results in medical sciences. Our main motive is to improve the accuracy of secondary structures and minimize the error .Experimentally, use the Multilayer ADALINE network for learning and KERAS TENSORFLOW use for train the weight matrix and sigmoid function for calculating the resultant with back propagation. Resultant of this paper results provides more prominent results as compare to already existing methods. Those improve the accuracy of secondary structure prediction.
Research onWeighted Least Square and Linear State Estimation Methods under Ill Condition of Power System
Authors:   Electrical Department Osmania University, Hyderabad, Telangana, India., Devi M.S.N.G. Sarada , Kumar T.V.L.N. Pavan Phani ,   TATA Power-SED, New Delhi, India., Yesuratnam Dr.G. ,   Electrical Department Osmania Universities, Hyderabad, Telangana, India.
Published: January 2020

A Jacobian matrix is said to be ill-conditioned if it is very sensitive to small changes. In this paper, the performance of Weighted Least Square (WLS) and Linear State Estimation (LSE) methods under stressed condition and ill condition of power system are compared. In weighted least square method, real/ reactive power injections/flows with very few bus voltage magnitudes are used to obtain the state vector (bus voltages) for given network model. This method inclined to convergence errors when the system is in stressed state or ill condition state. In Linear State Estimation method, bus voltage and current measurements are used to obtain the state vector. Because of its linear nature, LSE method is suitable under stressed condition/ ill condition of power systems. IEEE 14 bus, 13 bus ill conditioned system and EHV 24 bus systems are used in matlab environment to examine the proposed (LSE) method and simulation results are summarized.
Detection of Breast Cancer by Thermal Based Sensors using Multilayered Neural Network Classifier
Authors:   Research Scholar, Department of ECE, K L University, Guntur, Andhra Pradesh, India,, Dharani N.P. , Bojja Dr.Polaiah ,   Professor, Department of ECE, K L University, Guntur, Andhra Pradesh, India,, kumari Pamula Raja ,   Assistant Professor, Department of Mathematics K L University, Guntur, Andhra Pradesh, India,, Thenappan Dr. S. ,   Professor, Department of ECE, KNSIT, Bangalore, Karnataka, India,
Published: January 2020

Consideration of public health problem issues, one of the most common diseases in public is cancer. Most of the women population is suffering from breast cancer which is the most well known appearance of cancer in metropolitan cities of India and abroad. There many number of imaging modalities to diagnose cancerous cells. Among those, mammography is alone an imaging modality which diagnoses the breast cancer at an early stage. Furthermore, this modality involves X-rays which are more harmful to human health and make the patient inconvenience. Through the mammogram, doctors can analyze, estimate and evaluate the cancer stage so that doctors can give better and correct treatment to the patients. With this mortality and death rates can also be diminished up to some extent. In this paper, the author proposed an intelligent system to identify and find out the severity of breast cancer. By using a thermal based sensor which is of negative Temperature Coefficient (NTC) available with C-MET Thrissur which replaces Mammography. The stage at which the cancer is progressing is classified with the help of Intelligent System Algorithms which works on the temperature data obtained from the thermal device. The data is pre-processed and applied to multilayered backpropogation neural network model. The neural network classifies the preprocessed images into normal, benign and cancer. The output of the network is presented to the doctors through graphs and displays.
Research on Single-Phase Grid Connected PV Systems
Authors:   Research Scholar, Department of EEE, KoneruLakshmaiah Education Foundation, Vaddeswaram, A. P, India, Sattenapalli Srikanth , Manohar V. Joshi ,   Associate Professor, Department of EEE, Presidency University, Bangalore, Karnataka, India.
Published: January 2020

The demand for renewable vitality based power production has been increased because of many reasons such as to reduce the level of carbon emission, to minimize the consumption of non-renewable energy source and to maintain the environment pollution free. Among the available renewable resources such as hydroelectric, wind, solar, biomass and ocean, solar energy has gained much attention by researchers in the recent decades all over the world. The abundant availability and increasing global warming threat urge the researchers to develop an efficient solar energy conversion system. This survey purposefully intended to elaborate the significance of solar power system. This system consists of set of a PV array to transform sunlight into electrical power (dc). Then the converter and inverter circuits are utilized to produce stable ac power. To overcome the challenges like non-uniform insolation, temperature and partial shading effects, various artificial intelligence and optimization techniques have evolved to maximize the power output from the panel. Even with recent technological breakthrough the efficiency is still less than 20%. This survey presents the several existing solar energy conversion systems with its challenges and mitigation methods under different environmental conditions for improving the power output.
A Hybrid Technique for the Performance Optimization in the Combustion Process of a Power Plant Boiler
Authors:   Research Scholar, Department of EEE, Sri Venkateswara University, Tirupati, Andhra Pradesh, India., Kumar P V Narendra , Chengaiah Dr. Ch ,   Professor, Department of EEE, Sri Venkateswara University, Tirupati, Andhra Pradesh, India, Prasad J V K ,   Divisional Engineer, APGENCO, Andhra Pradesh, India.
Published: January 2020

Coal-based warm power stations are the pioneers in control age in India and are significantly awesome nonlinear structures. The warm introduction data procured from thermal control plant shows that glow rate and evaporator capability is changing consistently and the plant is doubtlessly losing a couple of Megawatts of electric power, and more fuel use as such achieving significantly higher carbon impressions. It is incredibly difficult to examine the rough data recorded step by step during the full power action of the plant in light of the fact that a warm power plant is a staggering structure with an enormous number of parameters. Subsequently there is a prerequisite for nonlinear showing for the power plant execution assessment in order to satisfy the growing needs of money related and operational necessities. The point of this paper is to give a blueprint of a coal-ended power plant, in perspective on real plant data and this fills in as the internal model for estimate of the Heat Rate and Boiler Efficiency. This model of the thermodynamics of a power plant is used to choose the effect of changes in different elements upon the glow rate and evaporator capability utilizing affectability coefficients, which show the heading of progress in the variable that will improve warmth rate and pot adequacy, and thus exhibits the general criticalness of these different components. This information can be used to provide guidance to the plant managers and pros concerning where they should devour their undertakings to improve the glow rate and evaporator viability. Further assortment in these key parameters foreseen by affectability examination helps in extemporization of Heat Rate and Boiler Efficiency.
Актуальні проблеми та перспективи розвитку електронного урядування в Україні
Authors: Жовток В. , Філіпова Н.
Published: January 2020

Розглянуто тенденції та напрямки розвитку електронного урядування в Україні та переваги його розгортання. Проаналізовані головні проблеми, що виникають на даному та наступних етапах впровадження e-govermance. Проведено порівняльний аналіз із країнами-лідерами у даній сфері. Виявлено «вузькі» місяця електронного урядування в Україні за даними UN E-Government Survey 2018 [1].
ПРАКТИЧНІ АСПЕКТИ РОЗРОБКИ ТА ВПРОВАДЖЕННЯ ЕЛЕКТРОННОЇ СИСТЕМИ КОНТРОЛЮ ОПЛАТИ У МІСЬКОМУ ТРАНСПОРТІ
Authors: Старченко Євгеній
Published: January 2020

У статті автор окреслив практичні аспекти проектування та впровадження електронної системи контролю оплати у міському транспорті. Автор проаналізував існуючі процеси контрою у громадському транспорті, визначивши переваги та недоліки даних систем. У статті розглянуто етапи проектування та впровадження електронної системи контролю оплати. Також автором деталізовано процес впровадження даної системи. Зроблено висновок про доцільність удосконалення та тестування способів перевірки користувача транспортної систем. У підсумку автор окреслив та проаналізував перелік проблем, пов'язаних із різними можливими варіантами перевірки оплати у громадському транспорті, зокрема зосередив увагу на оплаті банківською карткою та можливості перевірити надходження оплати.
ГОСТРА ТОКСИЧНІСТЬ ТА ВІРТУАЛЬНИЙ СКРИНІНГ БІОЛОГІЧНОЇ АКТИВНОСТІ (8-МЕТОКСИХІНОЛІН-4-ІЛТІО)КАРБОНОВИХ КИСЛОТ ТА ЇХ КА-ЛІЄВИХ СОЛЕЙ
Authors: Шевченко Анастасія , Генчева Вікторія
Published: January 2020

У статті показано результати комп’ютерного прогнозу; виявлено, що досліджені сполуки можуть виступати в ролі інгібітору акцептору глюконат-2-дегідрогенази, 2-гідроксихінолін-8-монооксигенази, аспульвінон диметилалілтрансферази; як слизисто-мембранний протектор; можуть проявляти антисеборейну, противиразкову активність (Ра > 0.7). Діапазон значень LD50 (мг/кг) внутрішньовенного, перорального, підшкірного шляху введення для об’єктів дослідження в основному лежить в області застосування моделей. За результатами GUSAR аналізу сполуки відносяться до малотоксичних та практично нетоксичних. Вивчена цитотоксична активність (8-метоксихінолін-4-ілтіо)карбонових кислот та їх калієвих солей.
ОКРЕМІ АСПЕКТИ ВІДПОВІДАЛЬНОСТІ ЗА ПОРУШЕННЯ НОРМ МІЖНАРОДНОГО ПРАВА ЗБРОЙНИХ КОНФЛІКТІВ
Authors: Василенко Ольга
Published: January 2020

У статті розкриваються окремі аспекти інституту міжнародно-правової відповідальності. Проаналізовано становлення та роль інституту відповідальності в підтриманні світового миру й міжнародного правопорядку. Автором було розглянуто форми колективної та індивідуальної відповідальності за порушення норм міжнародного права збройних конфліктів, окремо висвітлено питання відповідальності за виконання явно злочинного наказу, яке регулюється нормами як міжнародного, так і національного права.
СУСПІЛЬНО-ПОЛІТИЧНА СКЛАДОВА ТРАНСФОРМАЦІЇ ТРАДИЦІЙНОГО УСТРОЮ ЖИТТЯ УКРАЇНСЬКОГО СЕЛА ПРОТЯГОМ 1919–1929 РР.
Authors: Мотуз Валерія
Published: January 2020

Відповідна наукова розвідка присвячена дослідженню проблеми суспільно-політичних перетворень в українському селі у 1920-х рр., а саме процесурадянської ідеологічної інспірації, який безпосередньо стосувався кардинальних змін у свідомості українського селянства шляхом примусового руйнування його циклічного світосприйняття.
DETERMINATION OF TECHNOLOGY AND MANUFACTURING CONDITIONS FOR HETEROSTRUCTURED THIN-FILM SOLAR CELLS
Authors: Olimov S. , Kasimakhunova A.
Published: January 2020

The paper presents the results of research on the most advanced technology for manufacturing semiconductor photovoltaic energy converters. Methods of manufacturing and research of thin-film heterojunction solar cells based on p-type silicon are analyzed. The materials of the initial components and the structure of the thin-film solar cell were selected. According to the results of the developed technology for obtaining a high-efficiency Converter with a base layer of p-type by sputtering on a vacuum magnetron machine with accelerated heat treatment, ways to improve the performance of solar cells are indicated. The main requirements for the production of the most efficient photovoltaic converters are explained. The electrophysical properties of semiconductors were used as the basis for the material selection criteria
RF and microwave fractional differentiation with transversal filters using a soliton crystal microcomb multiwavelength source
Authors: Moss David , Mitchell Arnan , Morandotti Roberto , xu xingyuan
Published: January 2020

We report a photonic radio frequency (RF) fractional differentiator based on an integrated Kerr micro-comb source. The micro-comb source has a free spectral range (FSR) of 49 GHz, generating a large number of comb lines that serve as a high-performance multi-wavelength source for the differentiator. By programming and shaping the comb lines according to calculated tap weights, arbitrary fractional orders ranging from 0.15 to 0.90 are achieved over a broad RF operation bandwidth of 15.49 GHz. We experimentally characterize the frequency-domain RF amplitude and phase response as well as the temporal response with a Gaussian pulse input. The experimental results show good agreement with theory, confirming the effectiveness of our approach towards high-performance fractional differentiators featuring broad processing bandwidth, high reconfigurability, and potentially reduced sized and cost.