bluuebunny/crossref_metadata_2025 huggingface dataset:
Automation of ILL and EDD services at the Library for Natural Sciences of the Russian Academy of Sciences
Authors: Kalyonov Nikolay , Vlasova Svetlana
Published: August 2019

The Library for Natural Sciences of the Russian Academy of Sciences possesses unique collections of the national and foreign science literature. It acts as a federal STI authority in the natural and engineering sciences. Therefore, one of the Library’s key functions is delivering materials (originals and fragment copies) from its collection to other libraries within the ILL system. The RAS Library for Natural Sciences heads the country’s largest centralized library system (CLS) embracing 49 affiliates of research organizations in Moscow region. The CLS collections, including those of the Central Library, make the single distributed collection to provide services to ILL subscribers. The peculiar feature of the Library’s ILL services is that it delivers materials to its subscribers (the CLS libraries) not only from the CLS collections alone but also from other Moscow and Russian major library collections. The authors describe the computerized system designed at the Russian Academy of Sciences Library for Natural Sciences and characterize the used ILL technology. The structure of the information base comprises ‘Clients’ and ‘Orders’ units. Order dispatching and cash settlements with subscribers are provided by the system’s management unit; the retrieval and statistical tasks are also accomplished. The user unit supports order generation based on union e-catalogs. Specific features of order generation based on various Internet-catalogs, i. e. journals, books and periodicals, image catalogs of national and foreign books, are examined.
Science Communication in Mass Media: Case of Siberian Branch of Russian Academy of Sciences Research Institutes
Authors: Kosyakov Denis , Yudina Inna , Vakhrameeva Zoya
Published: August 2019

Popularization of science, promotion of research results, recognition and positive attitude to the brand of a scientific organization and individual researchers have been the subject of increased attention from research institutes and universities in recent years. They are one of the most important points of national science policy in Russia. Analysis of the effectiveness of the PR policy of organizations becomes a key task in these circumstances. The article provides an analysis of news stories in the mass media based on the results of scientific research of the institutions of the Siberian Branch of the Russian Academy of Sciences. In the course of the study, key requirements for a news report on a scientific publication were determined and the most common errors when presenting results of research as newsworthy events were identified and listed. This study proposes a number of metrics for measuring the effectiveness of scientific organizations activities in the mass media. The calculated metrics make it possible to assess the overall level of organization activity in promoting research results in the media, the effectiveness of this activity from the point of view of the interest of the media to relevant news stories, the completeness of media coverage of research papers and active authors of the institution. The analysis of the media activity of research institutes of the Siberian Branch of the Russian Academy of Sciences has shown their growing interest in popularizing and promoting the brands of institutions, individual scientists and scientific results.
TECENDO MEMÓRIAS DO CAPITAL INDUSTRIAL TÊXTIL: A INDÚSTRIA SANTA THEREZA E AS TRANSFORMAÇÕES NO ESPAÇO CEARENSE
Authors: Muniz Alexsandra M. Vieira
Published: September 2019

O período fabril cearense inicia-se com o aproveitamento industrial do algodão, através de indústrias de tecidos em Fortaleza. A importância do estudo do capital industrial têxtil se faz perceber notadamente no espaço, além dos aspectos técnicos, econômicos e sociais, mediante a produção e reprodução espacial com as interrelações capital e trabalho sob mediação das forças produtivas e relações sociais de produção. Este estudo permitiu evidenciar o papel que desenvolve a indústria têxtil no espaço cearense, considerando que o Ceará constitui o terceiro maior polo têxtil do País, com uma história de 135 anos. A escolha da indústria Santa Thereza se deveu ao fato da mesma ser uma das pioneiras na produção industrial têxtil cearense, tendo sido fundada, em Aracati, em 1893. A pesquisa de campo nos instigou ao questionamento acerca das consequências da perda de importância das indústrias de beneficiamento de algodão que moviam a economia de Aracati, o que nos levou a uma breve análise da cidade de Aracati, no auge do beneficiamento do algodão, a atuação da elite local com a fundação de indústrias, as tecnologias utilizadas, a perda de importância de Aracati ante a pujança de Fortaleza e as transformações socioespaciais pelas quais passa. Com o levantamento bibliográfico e a pesquisa de campo foi possível, dentre outras coisas, entender a dinâmica de ganho e perda de importância de cidades cearenses, como também mudanças na cartografia e consequências socioespaciais, permitindo ainda analisar em uma escala menor as relações com o intraurbano de Aracati.

Palavras-chave: Espaço urbano. Indústria têxtil. Industrialização cearense.
Partial method of assessment of tank brigade preparedness level during combat readiness recovery
Authors: Georgadze Alexander , Harabara Vladimir
Published: September 2019

The radical changes in the nature of modern military conflicts, the range and content of the tasks involved in the Armed Forces of Ukraine require a series of measures aimed at improving their training system. One of the components of the Armed Forces training is combat training, which is conducted both in peacetime and during a special period. The experience of the counter-terrorist operation and the operation of the Joint Forces in eastern Ukraine shows that the successful accomplishment of combat tasks by tank brigades (units) to a large extent depends on the effectiveness of combat training during combat readiness recovery, the result of which is their preparedness level. All this requires finding and implementing new approaches to the organization and conduction of combat training during combat readiness recovery, which requires the development of a scientific and methodological apparatus to assess their preparedness level. Based on scientific and methodological approaches to assessing the effectiveness of military units combat training and the experience of carrying out combat readiness recovery, the article presents a partial methodology for assessing the tank brigade preparedness level during combat readiness recovery, which takes into account the preparedness level of each structural unit of the brigade, taking into account its importance. Assessing the preparedness level of the tank brigade structural unit is calculated by dependence, which takes into account the overall level of military personnel training and their coherence.The indicators that characterize the training level of the serviceman include: the level of individual abilities of the serviceman, length of service and occupational training courses in the field of activity. The level of coherence in the management of the military unit depends on the experience gained by each serviceman in the occupied position during the exercise (training), taking into account their importance, and the unit – on the results of working out of collective training standards.This partial method allows to make quantitative assessment of the tank brigade preparedness level to perform the tasks on purpose, and also identifies "weaknesses" in carrying out combat recovery, which necessitates the development of recommendations for improving the efficiency of combat recovery. The results of the study can be used in the practice of restoring the combat capability of tank brigades and in the research on the readiness level assessment in scientific institutions.
The Performance of Energy Firms in Greece
Authors: Melpomeni Economist. Lypitka , Georgios Prof. Dr. Makrygiannakis , Theodore Prof. Dr. Papadogonas
Published: August 2019

In this paper, we investigated empirically the financial performance of energy firms in Greece for the time period 2012-2015 with the use of the well-known Altman test. The results indicated that all firms in the energy industry are financially distressed and are characterized by lack of liquidity, low productivity and high leverage for the whole time period under examination. This means that there is a clear danger of oligopoly formation in the energy market, with its negative outcomes in prices and energy provision stability. Certain policy measures are needed in order to obtain more sustainable and consumer-friendly results.
External Monetary Constraints Imposed by Developed Economies on Developing Economies: Empirical Evidence from Pakistan
Authors: Rizwan Muhammad Ali , Younas Muhammad Zeeshan , Zahra Hafiza Sadaf
Published: August 2019

The problem with the most of the developing economies is that their monetary policy is constrained by external shocks and developed economies central banks especially FED and ECB. In this research, we examine the effects of major external shocks like global oil price shocks, foreign interest rate shocks and global food price shocks on the major macro variables of Pakistan which creating hurdles for the SBP to achieve its monetary policy objectives independently. The results stating that the global oil price and global food price shocks have direct impacts on the major macro variables of Pakistan and put inflationary pressure on the Pakistan economy which making difficult for the central bank to achieve its predetermined dual objective of monetary policy i.e. full employment and stable inflation. Additionally, we examine how the changes in US monetary policy effects Pakistan economy and find that positive foreign interest rate shock has minor impacts on the major macro variables of Pakistan except for the exchange rate and domestic inflation rates which is also imposing an external constraint on the monetary policymaking process of Pakistan central bank. In a nutshell, all these external shocks are creating hurdles and imposing monetary constraints on the Pakistan which making difficulties for Pakistani central bank to achieve its monetary policy objectives.
STRATEGI EMPLOYEE RELATIONS MANAGEMENT DI PT. KEMFARM INDONESIA
Authors: Rahmi Fathiya Nur , Hafiar Hanny , Subekti Priyo
Published: August 2019

Kemfarm Indonesia is a company engaged in the field of agribusiness knew that employee relationship becomes important thing for the progress of the company. This study aims to determine the process of employee relationship management in PT Kemfarm Indonesia. The method used is descriptive with qualitative data. The research data was collected by observation, structured interview and literature study. The results show that HRD PT Kemfarm Indonesia acts as an internal PR managed relationships between companies, from processes, organizing, monitoring, evaluation and development program. In the process of planning, organizing, and program evaluation, the communications channel has not been optimal. From the results of this study, the suggestions provided are companies that do mapping the situation specifically on the process of planning, organizing and evaluation by using an effective communication channel on every program implementation so that the main goal of the program can be achieved.
IMPLEMENTASI PROMOSI BAURAN KOMUNIKASI PEMASARAN KARTU KREDIT DI INDONESIA (Studi Deskriptif Bank Mandiri, HSBC, Citibank, BCA dan BNI)
Authors: Prisgunanto Ilham
Published: August 2019

Credit cards are one of the most familiar payment tools for information society.  They used integrated marketing communications  method to get new costumers. They prepared this method to market expansion. Intergrated marketing communication depend on understanding of company about marketing of communication. This research aims to explore implementation of used integrated marketing communications. This research used theory of marketing communication, theory of integrated marketing communications, promotion and marketing plan. This reaearch method is qualitative descriptive. They collected data from staff and  management of bank who produce credit card used interview method (Mandiri, HSBC, BCA, Citibank dan BNI). The result is Local Banks which produce credit card did same promotion method with the International bank method. The big issue about credit card is They must used international big brand from Citibank to arrange their system. The Marketing communication is success because of pattern of organization, cross sectoral integration in corporate.  Because of that situation, its important to marketing communication at banking.
The effect of structural-acoustic coupling on the sound field in a trapezoidal enclosure
Authors: Wang Yuan , Zhang Jianrun , Chen Lan , Ren Naifei , Li Lei , Wu Bo , Zhang Xinzhou
Published: September 2019

The sound field characteristics in a trapezoidal enclosure surrounded by a flexible wall, which is adjacent to the tilted one, are investigated and compared with the case of a rectangular enclosure. The acoustic modes of trapezoidal enclosure are obtained by the coupling of the modes
of rectangular enclosure that bounds it. The coupling system model is then built between trapezoidal enclosure modes and flexible wall modes using modal coupling theory. Based on the coupled system model, the effect of flexible wall modal density on the resonance frequencies and the decay
times of coupled system are analyzed. Compared with the case of rectangular enclosure, the variation of the resonance frequency and the decay time of enclosure-controlled system mode is determined by its mode indices and tilted wall location when the panel modal density is changed. When the
modal indices of trapezoidal sound field in the two directions unparallel to the tilted wall are equal to zero simultaneously, the effect of inclination angle on the resonance frequencies and decay times of these coupled system modes can be neglected. Otherwise, the coupling system modes behaviors
are changed with the elevation angle. In addition, the coupling selection between the modes of trapezoidal enclosure and flexible wall is discussed in detail.
PENGARUH INTERPERSONAL RELATIONSHIP (HUBUNGAN ANTAR PEGAWAI) DAN KEMAMPUAN KERJA TERHADAP KINERJA KARYAWAN PADA PT. SINAR REKSA KENCANA KECAMATAN RAKIT KULIM KABUPATEN INDRAGIRI HULU
Authors: Windartini Sry
Published: September 2019

Penelitian ini dilaksanakan pada PT. Sinar Reksa Kencana Kecamatan Rakit Kulim Kab. Inhu. Tujuan penelitian adalah untuk mengetahui pengaruh interpersonal relationship  dan kemampuan kerja secara parsial dan simultan terhadap kinerja karyawan. Dalam penelitian ini, penulis menggunakan pengambilan sampel dengan rumus slovin, diperoleh sampel sebanyak 75 responden. Hasil uji parsial (Uji t) diperoleh nilai variabel interpersonal relationship dengan thitung >  ttabel yaitu 3,839 > 1,9930, berdasarkan kriteria pengujian data dapat diketahui bahwa Ha diterima dan H0 ditolak artinya interpersonal relationship secara parsial berpengaruh terhadap kinerja dan diperoleh nilai variabel kemampuan kerja dengan thitung > ttabel yaitu 2,507 > 1,9930, berdasarkan kriteria pengujian data dapat diketahui bahwa Ha diterima dan H0 ditolak artinya kemampuan kerja secara parsial berpengaruh terhadap kinerja. Hasil Uji simultan (Uji F) diperoleh nilai Fhitung > Ftabel yaitu 12,000 > 3,12, maka berdasarkan kriteria pengujian data dapat diketahui bahwa Ha diterima dan H0 ditolak, artinya interpersonal relationship dan kemampuan kerja secara bersama-sama (simultan) berpengaruh terhadap kinerja. Hasil perhitungan uji R, diperoleh nilai r atau korelasi adalah 0,500 artinya  mempunyai hubungan yang sedang serta searah antara interpersonal relationship dan kemampuan kerja dengan kinerja, maksudnya apabila interpersonal relationship dan kemampuan kerja meningkat maka kinerja juga akan meningkat dan diperoleh nilai R Square atau koefisien determinasi sebesar 0,250 artinya variabel kinerja dapat dijelaskan oleh variabel interpersonal relationship dan kemampuan kerja sebesar 25%, sedangkan sisanya sebesar 75% dijelaskan oleh variabel-variabel bebas lainnya yang tidak diteliti.
PENGARUH MASA KERJA DAN GAYA KEPEMIMPINAN TERHADAP KINERJA PEGAWAI KANTOR SATUAN POLISI PAMONG PRAJA (SATPOL-PP) KABUPATEN INDRAGIRI HULU
Authors: Windartini Sry
Published: September 2019

The purpose of this research is to examine the influence of the working life and leadership for employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu. The relevant data are taken with quantity and quality analyses. Data analyses method used are interview, validity and realibility test of multiple regression analysis, correlation coefficient, t test, and f test. The conclusion from the results above is the working life and leadership for employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu. F test show that variable of the working life and leadership have significant influence for employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu at the 5% significant level. T test show that variable of working life and leadership have significant influence for employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu at the 5% significant level. Correlation coefficient show that variable working life and leadership have significant for employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu. Working life and leadership could explain the changes in the employee performance in Satuan Polisi Pamong Praja (SATPOL-PP) Office Kabupaten Indragiri Hulu for 82.5 percent and the balance of  17.5 percent is explained by the other variables which did not included in the this research.
The Interplay of Christian Apologetics and Christian Philosophy
Authors: Samuel Amoran Oluwafemi
Published: August 2019

Over the years, have there been severe misconceptions about the nature of philosophy; most often when people hear about it, without minding its scope, what comes to mind is that philosophy is against God. The reason has been that philosophy is believed to be a movement, or academic course that opposes the existence of God or negates the principles of biblical dispositions. Whereas, philosophy as thought of by many is not fiction, or a teaching against God as perceived, neither is it trickery, but truth telling, enacting facts and making complicated issues clear enough to be understandable. Naturally, one may not be able to comprehend the fact that Christian living has elements of philosophy as its theoretical framework which is generally referred to as Christian Philosophy and many may not have find it very easy to associate it (Christian philosophy) with the need to defend one’s faith which the thrust of this work is primarily situated upon. This is to say, that the thrust of this paper is to present a possible areas of connectedness of Christian Philosophy and Christian Apologetics. This would be done through brief definitions of philosophy, Christian philosophy, apologetics, Christian apologetics and its importance and then highlights the possible areas of their relationship. The work also concludes with emphasis on the importance of not downplaying one for the other; and that both Christian apologetics and Christian philosophy are interrelated and capable of influencing one another for an active faith development and sound doctrinal belief.
Impact Assessment of Kerala Flood 2018 on Agriculture of Farmers in Edathua Panchayat, Kuttanad Taluk of Alappuzha District
Authors: Santhi S L , Veerakumaran G
Published: September 2019

The people of Kerala have suffered the worst natural calamity, deluge from 15th august 2018, and this continued for a week. Due to the heavy rainfall, which was more than 164%, the usual rain resulted in filling dams to maximum capacity made all barriers opened and caused over flooding. A humble attempt was made to conduct an “Impact assessment of Kerala flood 2018 on agriculture of farmers in Edathua Panchayat, Kuttanad Taluk of Alappuzha district. 45 flood-affected farmers were examined with a pre-structured interview schedule. The impact of the flood had distorted the life of farmers; the unexpected wave had washed away their cultivations. The surge has not only affected the fields but also their homes, live stocks, aquaculture, agriculture implements, assets, and so on. During the flood, the government has provided urgent aid and relief material promptly and without any restrictions. The major problems faced by farmers are the inadequacy of assistance, reduction in yield and lack of pure water, delay in getting support, repayment of the loan, and so on. The government should help these farmers to overcome these conditions; otherwise, they will suffer colossal debt, which would be a reason for them to leave this sector.
A Study on Role of Women in Economic Development in India
Authors: Angala Eswari G
Published: September 2019

Empowering women is a critical issue in developing nations. Even though women are an integral part of any society, yet their involvement in decision making by the use of their active contribution in economic activities is shallow. Women empowerment and economic development are interlinked, where on the one hand, development alone can play a significant role in driving down inequality between women and men while on the other hand empowering women can benefit development. This paper explores the role of women in the workforce for the economic development of the country in different States.
A Study on Slums Population in India
Authors: Mohana Gayatheri N , Chennakrishnan P
Published: September 2019

Slums are worldwide events and are present in almost all cities throughout the world. Unlucky children and adults living in slums are rejected from the various facilities and services needed by children and other adults, those who live in non-slum areas, so slum children need attention special. Slums provide many geographical constraints for service delivery. Most of them are built-in lowland areas and are prone to flooding; most do not have adequate drainage to avoid standing water during the rainy season including flooding, water lodging, excessive population, and narrow or muddy roads. Houses are usually made of fragile material and are vulnerable to fire and monsoon rains. Very high population density, very bad environmental conditions and very low socio-economic conditions are ubiquitous practical features. This is an important feature that has proven to be an obstacle to the education system for slum residents. Poor drainage, flooding and poor housing are mostly slums.
Effective Constructivist Teaching Learning in the Classroom
Authors: Kumar Shah Rajendra
Published: September 2019

Constructivism has been a very powerful model for explaining how knowledge is produced in the world as well as how students learn. Moreover, constructivist teaching practices are becoming more prevalent in teacher education programs, while demonstrating significant success in promoting student learning. In this paper, the author takes a serious look at constructivist teaching practices highlighting both the promises and potential problems of these practices. The author argues that constructivist teaching has often been misinterpreted and misused, resulting in learning practices that neither challenge students nor address their needs. He outlines some of the ways in which constructivism has been misconstrued and analyzes several ways in which constructivist teaching has been misused. The author also presents two examples that illustrate the effective use of constructivist teaching and explains what makes them successful.
Mapping the Boundaries: J.M. Coetzee's Disgrace and Slow Man as Modern Cosmopolitan Fiction
Authors: Anjum Sheeba , Tandon Nupur
Published: September 2019

The paper aims to investigate J.M. Coetzee’s Disgrace and Slow Man in terms of cosmopolitan concepts of shame, imaginative sympathy and its limits. Coetzee’s novels encourage a ‘distinctive individualism’ which reflects the insufficiency of shame, guilt and sympathy as indicative of cosmopolitan philosophy. In this regard, a selective theoretical approach is adopted, which suggest that Coetzee’s fiction is significant and promotes a faith-driven association between the cosmopolitan subject and the ‘other’. The presence of others in his novels makes it cosmopolitan, even though the central subject often gets humiliated and excluded by the ‘other’. The subject’s shame in both the novels makes them experience isolation and their problematic association with the other, which has a flagged presence in Coetzee’s prose. The present paper attempts to argue that both the novels end on a different note proving that cosmopolitanism has different facets- positive as well as negative and also challenges Coetzee’s readers to identify their cosmopolitan limits.
Faktor-faktor yang Mempengaruhi Keberhasilan Berwirausaha
Authors: Puji Lestari Fibria Anggraini
Published: September 2019

This research is to fnd out what affect a person who is successful in entrepreneurship. In this study was obtain from questionnaires distributed to student using multiple linear analysis with SPSS 19.00 for windows software.The result of this study showed that variables of interes and talent ( 0.199), motivation ( 0.388) and science ( 0.270) in influencing success entrepreneurship.
Integrating African Buffalo Optimization Algorithm in AODV Routing Protocol for improving the QoS of MANET
Authors: Hassan Marwan Hamid , Mostafa Salama A. , Mohammed Mazin Abed , Ibrahim Dheyaa Ahmed , Khalaf Bashar Ahmed , Al-Khaleefa Ahmed Salih
Published: August 2019

A Mobile Ad-Hoc Network (MANET) is made up of wireless mobile nodes that do not require a central infrastructure or administration to establish a network. It is possible for the MANET nodes to function as a router or host. MANET works with an independent multi-hop mobile network which can be used in several real-time applications. Thus, an important issue associated with MANET is the identification of paths with high-level Quality of Service (QoS), like topology. The purpose of having a QoS-aware protocol in MANETs is to enable the discovery of paths that are more efficient between the source and destination nodes of the network and hence, the need for QoS. In this paper, a novel algorithm which can be used in the African Buffalo Optimization (ABO) to improve the QoS of routing protocol MANETs. With ABO, path selection is optimized in the Ad-hoc On-demand Distance Vector (AODV) routing protocol. Results of the test revealed that when ABO is used in AODV, delay and energy-aware routing protocol is manifested.
Hyper Heuristic for Solving Quay Crane Scheduling Problem
Authors: Yassen Esam Taha , Ayob Masri , Jihad Alaa Abdalqhar , Nazri Mohd Zakree Ahmad
Published: August 2019

Quay cranes scheduling at container terminals is a fertile area of study that is attracting researchers as well as practitioners in different parts of the world especially in OR and AI. The efficiency of this process may significantly affect the general accomplishment and the competitive merits of the terminal as well. In this work, four Local Search algorithms (LSs) are utilized to address Quay crane scheduling problem (QCSP), these are hill climbing (HC), simulated annealing (SA), tabu search (TS) and iterated local search (ILS). The experimental results obtained in the present work demonstrated that none of these LSs succeeded to achieve good results on all available instances. This is because different QCSP instances have different characteristics, in addition to the NP-hardness nature of these instances. As a result, it is difficult to determine which LS has the ability to yield the best available results for all instances. Consequently, selecting the appropriate LS should depend on the problem instance type as well as the search status. To achieve such a selection, this work proposes the hyper heuristic algorithm (hyper-H). The hyper-H is composed of two separate stages: the upper (LS-controller) and the lower (QCSP-solver). The LS-controller embed an adaptive selection mechanism to adaptively select which LS is to be adopted by the QCSP-solver to solve the given problem. The efficiency of the proposed methods were tested on benchmark instances suggested by Meisel and Bierwirth (2011). The experimental results revealed that the hyper-H outperformed others as it attained better results over most instances and competitive results in some others.
Efficient Scheme to Suppress the Disturbance of Impulsive Noise among IoT Devices
Authors: Ahmed Mohammed Sh. , Rashid Ahmed N. , Aliesawi Salah A.
Published: August 2019

Internet of Things (IoT) is a network of enormous things that are connected together for data communication. Therefore, IoT objects require an efficient technique for data communication. When transmitter power efficiency and performance improvement are of paramount importance, linear precoded orthogonal frequency division (LP- OFDM) is considered as a desirable candidate for uplink wireless transmission among IoT devices. However, negative ramifications of impulsive noise (IN) raise among millions of IoT devices based LP-OFDM systems need to be mitigated. In this work, a matrix interleaver (MI) is employed with LP-OFDM system to suppress the deleterious effect of IN on the performance of such a system when it is used as the transmission technique among the IoT devices. Consequently, the proposed scheme achieves a considerable bit-error-rate (BER) performance improvement when compared with the conventional approaches over multipath communication among IoT devices even in the presence of impulsive noise. Such BER improvement is achieved as a result of integrating the role of the linear precoders (i.e fast Fourier transform (FFT)) and MI to spread the effect of IN over large OFDM symbols.
Applying Trajectory Tracking and Positioning Techniques for Real-time Autonomous Flight Performance Assessment of UAV Systems
Authors: Mostafa Salama A. , Mustapha Aida , Ramli Azizul Azhar , Darman Rozanawati , Zeebaree Subhi R. M. , Mohammed Mazin Abed , Gunasekaran Saraswathy Shamini , Ibrahim Dheyaa Ahmed
Published: August 2019

This research presents a Performance Visualized Assessment (PVA) archetype via which the performance of autonomous Unmanned Aerial Vehicles (UAV) or drone framework can be scrutinized and evaluated. The PVA is a performance-based assessment method that appropriately fits in assessing the flight point of the UAV in an indoor situation and outside the requirement of GPS aid. The PVA prototype came up with is comprised of Visualized Mission Grid (VMG) and Chi-square (CSI) modules. The VMG maps viewable field information of the surrounding including the situation of the route mission. In addition, the utilization of restriction and optical stream indoor direction monitoring and trailing is used in the CSI. The PVA follows and evaluates the execution of the UAV autonomous operations by checking and envisioning the direction and the UAV action amid route missions. The implementation outcomes demonstrate that the PVA is able to precisely assess and envision the execution quality of three aerial missions.
Inhibition Strength of Rosella (Hibiscus sabdariffa L.) Boiled Water on Salmonella typhi in vitro
Authors: Sutiany Ayu , Dwiyanti Ratih Dewi , Oktiyani Neni
Published: August 2019

Rosella (Hibiscus sabdariffa L.) is a plant that can use as herbal medicine. Roselle calyx contains active compounds flavonoids, saponins, and tannins. These compounds can use as an antibacterial against Salmonella typhi. This study aims to determine the Minimum Inhibitory Concentration and Minimum Bactericidal Concentration and the effect of rosella cooking water concentration on Salmonella typhi in vitro. Experimental research with posttest only controls group design through dilution method. The results of the Minimum Inhibitory Concentration (MIC) study showed clarity at concentrations of 60%, 70%, 80%, 90%, and 100%. Minimum Bactericidal Concentration (MBC) results obtained the number of colonies at a concentration of 60% by one colony, at a level of 70%, 80%, 90%, and 100% showed no colony growth. Based on the results of the study concluded that there was an influence of rosella cooking water concentration on the growth of Salmonella typhi in vitro.
Metric Based Ontology Quality Evaluation
Authors:   Department of Computer Science, Sacred Heart College, Tirupattur, Tamilnadu, India., Lourdusamy* Ravi , John Antony ,   Department of Computer Science, Sacred Heart College, Tirupattur, Tamilnadu, India..
Published: August 2019

Ontology helps semantic web to process and understand large amount of data available in Internet. Ontology uses concepts and their relationship with each other to represent knowledge within a domain. The represented knowledge can be analysed, inferred and reused to make decisions and to derive new knowledge. The developed ontology has to be assessed for quality before using or reusing it. Evaluation becomes a key factor to determine the quality of ontology. Different approaches and methods are used to ensure the quality desired by the user. This article identifies various aspects of ontology, provides a framework for metric based ontology evaluation, elucidates components in the framework and develops a tool based on the framework. The framework checks the syntax, structural and semantic measures of ontology. While a reasoner takes care of the syntax and parser errors, the structural metrics analyses the taxonomy of ontology. Semantic measures deal with the distance of concepts in ontology. Further, competency questions are used to do custom based quality checking of a particular domain. This article provides a systematic way to identify and measure the quality of ontology based on metrics.
Design of a 100-kW Three-phase Interleaved DC/DC Power Converter for Hybrid Supercapacitor-battery Energy Storage
Authors:   Moscow Polytechnic University, Moscow, Russia, Chirkin* V.G. , Lezhnev L. Yu. ,   Moscow Polytechnic University, Moscow, Russia, Petrichenko D.A. ,   Moscow Polytechnic University, Moscow, Russia., Velikoretskiy A.A. ,   Moscow Polytechnic University, Moscow, Russia., Nekrasov A.S. ,   Moscow Polytechnic University, Moscow, Russia.
Published: August 2019

The paper describes the design of a 100-kW three-phase interleaved DC/DC power converter for a hybrid energy storage system based on lithium-ion batteries and supercapacitors. A description of the design and technical solutions of the converter is presented. The design has a minimum length of the connections between elements for lower bulk inductances. The converter uses the SEMIKRON SKiiP IGBT power module with liquid cooling. The control circuit of the converter is shown. The converter operates in buck and boost modes. The results of the simulation of device operation modes are given. The three-phase control scheme allows reducing input current ripple and obtaining the required power.
Energy Efficient Dynamic Multi-Hop Routing Technique in Wireless Sensor Networks
Authors:   Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India, Thakur* Anjali , Sharma Dr. Kanika ,   Electronics and Communication Engineering, NITTTR, Chandigarh, India.
Published: August 2019

In Wireless Sensor Networks (WSNs) main focus is on energy conservation and thus it is most researched area. The energy in WSN is highly consumed during data transmission. That’s why, many routing protocols are developed as their sole purpose is to consume less energy during data transmission. Dynamic Multi-Hop Routing (DMR) and Static Multi-Hop Routing (SMR) has provided efficient approach by forwarding nodes data to Base Station (BS) by splitting whole sensor network into several levels and each node acts according to its position and status but network suffers from hotspot problem for large area applications. This paper aims to present a new technique to avoid hotspot problem in by introducing Relay Cluster Head (RCH), node whose sole purpose is to relay the data for multi hop routing in WSN and to improve the Cluster Head (CH) selection in the existing techniques by incorporating energy and distance factors. The network is divided into levels and nodes in a cluster send their data to CH and CH in each level forwards its data to the RCH of the lower level (near to BS). It is observed from simulation results that proposed technique improves the lifetime, stability and throughput of the network as compared to the DMR and SMR techniques.
Novel Utility Procedure for Filtering High Associated Utility Items from Transactional Databases
Authors:   Research Scholar, Dept of CSE, Acharya Nagarjuna University, Guntur-522510, AP, INDIA,, Mantena* Srihari Varma , Prasad Dr CVPR ,   Research Supervisor, Dept of CSE, Acharya Nagarjuna University, Guntur-522510, AP, INDIA
Published: August 2019

In data mining, mining and analysis of data from different transactional data sources is an aggressive concept to explore optimal relations between different item sets. In recent years number of algorithms/methods was proposed to mine associated rule based item sets from transactional databases. Mining optimized high utility (like profit) association rule based item sets from transactional databases is still a challenging task in item set extraction in terms of execution time. We propose High Utility based Association Pattern Growth (HUAPG) approach to explore high association utility item sets from transactional data sets based on user item sets. User related item sets to mine associated items using utility data structure (UP-tree) with respect to identification of item sets in proposed approach. Proposed approach performance with compared to hybrid and existing methods worked on synthetic related data sets. Experimental results of proposed approach not only filter candidate item sets and also reduce the run time when database contain high amount of data transactions.
Internet of Robotic Things Based Robotic Platform for Smoke and Gas Detector in Automobile
Authors:   Lovely Professional University, Phagwara, Punjab, India., Gehlot Anita , Singh* Rajesh ,   Lovely Professional University, Phagwara, Punjab, India., Thakur Amit Kumar ,   Lovely Professional University, Phagwara, Punjab, India., Safdar  ,   University of Petroleum and Energy Studies
Published: August 2019

The prime source of the air pollution to arrive at an alarming condition is Automobiles.Automobiles generate enough emissions which is polltuing the atmosphere to a great level and the need of identifying the pollutant emissions has become a tedious task.In order to monitor the pollution emissions, Internet of Things (IoT) has been pioneered through this paper to keep a check on these harmful emanations which are directly effecting the environment.Through this paper a smart vehicle emission monitoring system using IoT is introduced which can literally track down the vehicles which are causing a real threat to the environment. A gas sensor comes in the limelight which can be used as a real-time air polluting monitoring system at any time and at any place.The monitoring data caputred is then shared with the vehicle owner through a text message and a copy of the same data is send to the national environmental agencies to have a better picture of the emission standards.The smart emission system effciently diagnose vehicle exhaust in real time and also perks up the level of diagnosing and the accurateness of the exhaust monitoring system.This system is considered to deliver its best in terms of monitoring air pollution in urban areas and provides a good upshot.
Perovskite Solar Cell design using Tin Halide and Cuprous Thiocyanate for Enhanced Efficiency
Authors:   Electronics and Communication Engineering department, National Institute of Technical Teacher’s Training and Research, Chandigarh, India., Sharma* Shiva , Mehra Rajesh ,   Curriculum Development Centre National Institute of Technical Teacher’s Training and Research, Chandigarh, India.
Published: August 2019

Utilization of Tin Halide as an absorber in Perovskite solar cells is immensely recognized as a substitute of lead halide absorber because of lead material’s toxicity. Also, Tin halide based Perovskites possess a potential for higher quantum efficiency because of their enhanced light absorption capability due to the wide-ranging absorption spectrum in the visible region with a comparatively lower bandgap of 1.3 eV than lead-based Perovskites. In the present work, glass/ transparent conductive oxide (TCO)/ titanium dioxide (buffer)/ tin halide Perovskite (Absorber)/ cuprous thiocyanate (HTM)/ Metal back solar cell structure has been designed and simulated by SCAPS software which yields Power Conversion Efficiency (PCE) of 28.32% and Fill Factor (FF) of 85.17%. The effect of total defect density, thickness, Valance Band Effective Density of States (VBEDS) and Conduction Band Effective Density of States (CBEDS) for an absorber layer has been analyzed. It has been observed that VBEDS variation has achieved PCE and FF to a significant extent i.e. up to 32.47% PCE and 85.86% FF.
Modified Kernel Based Fuzzy Clustering for MR Brain Image Segmentation using Deep Learning
Authors:   Department of Computer Science and Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India, Srinivas* Dr. Kalyanapu , Reddy Dr. B. R. S. ,   Department of Computer Science and Engineering, Sri Vasavi Institute of Engineering and Technology, Pedana, Krishna Dist., Andhra Pradesh, India.
Published: August 2019

The segmentation procedure might cause error in diagnosing MR images due to the artifacts and noises that exist in it. This may lead to misclassifying normal tissue as abnormal tissue. In addition, it is also required to model the ontogenesis of a tumour, as they propagate at distinctive rates in contrast to their surroundings. Hence, it is still a challenging task to segment MR brain images due to possible noise presence, bias field and impact of partial volume. This article presents an efficient approach for segmenting MR brain images using a modified kernel based fuzzy clustering (MKFC) algorithm. In addition, this approach computes the weight of each picture element based on the local mutation coefficient (LMC). The proposed system would reflexively group normal tissues like white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF) respectively, from abnormal tissue, such as a tumour region, in MR brain images. Simulation outcomes have shown that the performance of the proposed segmentation approach is superior to the existing segmentation algorithms in terms of both ocular and quantitative analysis.
Simulation and Analysis of DFIG System with Wind Turbine Implementing Fuzzy Logic Control
Authors:   Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Nandikotkur Rd, Kurnool, Andhra Pradesh , India., Deepak* Karanam , Aparna Talari ,   Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Nandikotkur Rd, Kurnool, Andhra Pradesh, India., Kumar A Suresh ,   Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Nandikotkur Rd, Kurnool, Andhra Pradesh, India., Deepthi P Siva ,   Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Nandikotkur Rd, Kurnool, Andhra Pradesh, India., Hazarathaiah Y ,   Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Nandikotkur Rd, Kurnool, Andhra Pradesh, India.
Published: August 2019

A doubly-fed induction generator (DFIG) applied to wind power generation driven by wind turbine is under study for low voltage ride-through application during system unbalance. Use of DFIG in wind turbine is widely spreading due to its control over DC voltage and active and reactive power. Conventional dq axis current control using voltage source converters for both the grid side and the rotor side of the DFIG are analyzed and simulated. An improved control and operation of DFIG system under unbalanced grid voltage conditions by coordinating the control of both the rotor side converter (RSC) and the grid side converter (GSC) is done in this thesis. Simulation and analysis of DFIG system with wind turbine using Fuzzy logic controller for RSC and GSC under unbalanced condition is presented in the positive synchronous reference frame. The common DC-link voltage is controlled by grid side converter and control of DFIG’s stator output active and reactive power is controlled by rotor side converter. The steady-state operation of the DFIG and its dynamic response to voltage sag resulting from a remote fault on the 120-kV system is shown in this thesis using controllers. Modeling of DFIG system under Fuzzy logic controller to control voltage and active-reactive powers is done using MATLAB/SIMULINK.
Bidirectional Recurrent Neural Network Language Model: Cross Entropy Churn Metrics for Defect Prediction Modelling
Authors:   Department of Computer Science, Auxilium College, Vellore, India., R* Nivetha. , S Kavitha. ,   Department of Computer Science, Auxilium College, Vellore, India.
Published: August 2019

Software Defect Prediction (SDP) plays an active area in many research domain of Software Quality of Assurance (SQA). Many existing research studies are based on software traditional metric sets and defect prediction models are built in machine language to detect the bug for limited source code line. Inspired by the above existing system. In this paper, defect prediction is focused on predicting defects in source code. The aim of this dissertation is to enhance the quality of the software for precise prediction of defects. So, that it helps the developer to find the bug and fix the issue, to make better use of a resource which reduces the test effort, minimize the cost and improve the quality of software. A new approach is introduced to improve the prediction performance of Bidirectional RNNLM in Deep Neural Network. To build the defect prediction model a defect learner framework is proposed and first it need to build a Neural Language Model. Using this Language Model it helps to learn to deep semantic features in source code and it train & test the model. Based on language model it combined with software traditional metric sets to measure the code and find the defect. The probability of language model and metric set Cross-Entropy with Abstract Syntax Tree (CE-AST) metric is used to evaluate the defect proneness and set as a metric label. For classification the metric label K-NN classifier is used. BPTT algorithm for learning RNN will provide additional improvement, it improves the predictions performance to find the dynamic error.