bluuebunny/crossref_metadata_2025 huggingface dataset:
DAMPAK KEKERASAN BAHASA PENDIDIK TERHADAP PSIKOLOGIS PESERTA DIDIK
Authors: Susilawati Lis
Published: October 2019

It occurs frequently for many preceptorsconsider that this mien is the most effective one to control the protégé. Furthermore, it also aims to describe some factorsthat can trigger a verbal abuse, and then the last one is aimed to explain someverbal abuses that used by preceptor in teaching their protégé.This research figured out that the preceptor did seven kinds of verbalabuses, they are reprimanding the protégé, refusal, accusation, disparagement,judgment, forcefulness, and posing a threat. There are two causes of verbal abuse,they are the preceptor’s lack of knowledge about an appropriate teaching andstudent’s disobeying to the preceptors. Psychological effect of verbal abuse isdecreasing protégé’s psychology. The evidences is that the protégé take a bow andfeel fear when they see the preceptor.Based on these finding, it is recommended for preceptor not to do verbalabuse. Moreover, the headmaster should supervise the class activity successivelyto increase the quality of the preceptors.
Musik Tradisional Jawa Janengan Yang Terlupakan (A Forgotten Javanese Traditional Music Janengan)
Authors: Mukarom Mukarom , Rochsun Rochsun
Published: October 2019

Villagers of Waringinsari, Sukoharjo sub-district, Pringsewu district, Lampung province grows and develops from voluntary migrants from Java. They are a group of marginalized people economically, politically, socially and culturally, so they expected so much when migrating to get a better life for his family. Residents who occupy Waringinsari village as the voluntary migrants are from different regions. They were farmers who had come from the felds of Java (Central, East and West) to gain ground as a new livelihood. The question is why with all kinds of differences in the Javanese sub-culture they could then dissolve together, and then they feel just as Javanese (in the sense of not distinguishing which Javanese origin). The research was carried out to get an answer whether janengan contributing music as media of entertainment, communication and propagation for villagers of voluntary migrants in the Waringinsari village, Suhoharjo Sub-district, Pringsewu district, Lampung province. This research is qualitative. The data obtained show that janengan music does really as alternative music that is able to show the identity of the people of Java. Janengan identifes the Javanese sub-culture from Kebumen which later became the common property of the voluntary migrants. They feel a sense of musical art is proven fact that until now is still a viable alternative entertainment. Janengan also contribute to the cohesiveness, and was able to eliminate the bulkhead sub-culture of their respective regions of origin. Music janengan is able to be an alternative as a cheap entertainment media, as a means of gathering spontaneous migrants thus establish communication in the period since the beginning of the village to the present, the past 60 years. In addition, the content ofthe janengan music lyric also provide a moral message that as human beings they are not arrogant, and ableto follow prophets. Janengan is able to instill the values to the younger generation so that they can becomegood human in morality as told in the poem of janengan.
Pengaruh Latihan Aerobik Dan Anaerobik Terhadap Profl Lipid Pada Tikus Rattus Norvegicus Wistar
Authors: Budijanto Budijanto
Published: October 2019

Doing exercises regularly is useful to help improve strength, frmness, and endurance and also to avoid early aging process The best exercises to make body healthy are swimming, quick hiking, jogging, and cycling. The goal of the research was to verify the difference of inﬂuence toward aerobic and anaerobic exercises towards the change of cholesterol, cholesterol HDL and LDL as well as ratio of cholesterol HDL and LDL. The research was experimental using post test and control group. The sample was classifed into three groups, each of which consisting 10 mice and then randomly aerobic and anaerobic exercises and control group were done. The aerobic exercise by swimming used 3% burden of body weight for 13 minutes and the anaerobic exercise 9% for 0ne minute by taking rest for 3 minutes intermittently as many as 4 sets, while control group did it without exercise. Based on the data analysis, it was found that aerobic exercises was effective to reduce cholesterol, improve cholesterol of HDL and LDL, and ratio of cholesterol of HDL and LDL. In addition the aerobic exercise was better than anaerobic exercise
Pengembangan Majalah Anatomi Tumbuhan Sebagai Sumber Informasi Mahasiswa di IKIP Budi Utomo Malang
Authors: Arifin As'ad Syamsul , Riyanto Riyanto
Published: October 2019

Penelitian ini untuk mengembangkan bahan ajar berupa majalah guna mendukung berhasilnya proses pembelajaran anatomi tumbuhan. Hadirnya majalah anatomi tumbuhan diharapkan dapat memberikan suasana belajar yang baru selama proses belajar, serta mampu memberikan informasi terbaru. Model pengembangan dalam penelitian ini menggunakan model 4D dari Thiagarajan (1974). Model 4D memiliki 4 tahapan antaralain: define, design, develop, dan disseminate, tetapi dalam penelitian ini hanya dilakukan sampai tahap develop saja tanpa tahap disseminate. Sampel yang digunakan dalam uji coba adalah mahasiswa kelas A angkatan 2017 berjumlah 35 orang, data diperoleh dengan menggunakan hasil angket. Hasil penelitian menunjukkan pengembangan bahan ajar  Majalah layak digunakan dalam pembelajaran, ini ditunjukkan hasil data uji ahli materi dinyatakan sangat baik, data uji media dan desain pembelajaran dinyatakan sangat baik, data uji coba perorangan dinyatakan sangat baik dan uji coba kelompok sedang dinyatakan sangat baik. Uji coba kelompok sedang dapat disimpulkan bahwa bahan ajar Majalah layak digunakan sebagai salah satu reverensi majalah bahan ajar Anatomi Tumbuhan oleh mahasiswa IKIP Budi Utomo Malang karena sudah tervalidasi.
Optimizing Food and Beverage Product Development: From the Past to the 21st Century and Beyond
Authors: Moskowitz Howard , Roberts Derek , Nagarajan Divya , Gere Attila
Published: October 2019

Psychophysics is the oldest branch of experimental psychology, devoted to understanding the relation between physical stimuli (e.g., ingredients, processes) and subjective response. When applied to developing food products for commercial use, psychophysics takes on a new role, as a center point in an evolving ecology of many unrelated but relevant disciplines and professions. We present a short history of the application of psychophysics to the world of food product design, and the ecosystems which grew around it, evolved, changed, and had to be reengineered to be relevant for the 21st century.
Demonetization and Its Effects on BSESENSEX and Some Sectoral Indices: An Exploratory Econometric Analysis
Authors: MUKHOPADHYAY Debabrata , SARKAR Nityananda
Published: October 2019

This study has carried out somepreliminary
time series analyses to examine the impacts of demonetization which was carried
outin India on 8 November 2016, on the well-known Indian stock index,
BSESENSEX,and four major sectoral indices viz., BSE BANKEX,BSE Auto, BSE Reality
and BSE Smallcap,using daily level time series data covering the period 1January
2016 to 31May2017. Apart from examining the stationarity/nonstationarity
property and existence of structural breaks after demonetizationin these series,
the paper has also studied the trend behavior and returns models for both the
pre- and post-demonetization periods. This study has
found that while there is more than one break in all the five series at their
level values, there is only one structural break after demonetization.  It has also been found that the trend
function for all the index series broadly gives support to this finding of one break
after demonetization. Further, some changes have also been observed in the
stationary models for the two sub-periods of pre- and post-demonetization for
all but BSE Auto index. Finally, except for BSESENSEX to some extent, no change
in the status of stationarity/nonstationarity in the pre- and post-
demonetization periods has been found in the other series.
Neo-liberal Zamanlarda Feminist Teori: Özneye Yeni Yaklaşımlar
Authors: Köse Elifhan , Maltaş Arzu
Published: October 2019

Ondokuzuncu yüzyıldan bu yana kadın haklarının iyileştirilmesini hedefleyen Feminizm, felsefi ve aktivist bir hareket olarak gelişti. İdeolojik bir hareket olduğundan tarihin farklı devrelerinde beden, cinsel eğilimler, sınıf/ırk farklılıkları konusunda iktidar ve kadın özne arasındaki çok boyutlu ilişkileri analiz etmeye çalıştı. Neo-liberal dönemin felsefi etkilerinden biri olan postmodernizm ise feminist teoriyi hem bilginin üretilmesinin normatif koşulları hem de bu bilgiyi üreten özne açısından tartışmaya açmıştır. Aydınlanma döneminin dayandığı rasyonalizm/ irrasyonalizm, akıl /beden, özne/ nesne gibi düalizmlerin eleştirisini sunan postmodern etki feminist teoride kadın özneyi yapıbozuma uğratan, sosyal inşacılık bağlamında yeni bir özne kategorisi yarattı. Çalışma postmodernist zamanlarda feminist teorideki “ özne”nin kaybına ve yeni performatif özne olasılıklarına yol açan tartışma hattını ele almaya çalışacaktır. Yeni özne tartışmaları neo-liberalleşen iktidarın neresinde konumlanmaktadır? sorusu özelikle neoliberalizmle feminizmin dönemsel yakınlığına ilişkin eleştiriler açısından yanıtlanmaya çalışılacaktır.
New Femininities: Postfeminism, Neoliberalism and Subjectivity
Authors: Çelik Gizem Ekin
Published: October 2019

Rosalind Gill & Christina Scharff (Eds.) (2011). New Femininities: Postfeminism, Neoliberalism and Subjectivity. 344 sayfa. New York: Palgrave Macmillan. ISBN: 1137339861, 9781137339867.
Postkolonyal Teori Bağlamında Sığınmacı Kadınlar: Suriyeli Kadın Sığınmacıların Türkiye’deki ‘Geçici’ Durumu
Authors: Yılmaz Zehra
Published: October 2019

Bu makale postkolonyal feminist tartışmalar içinde ele alınan madun kavramı üzerinden Türkiye’deki sığınmacı kadın statüsünü tartışmaktadır. Tartışmamın amacı, sığınmacı olmanın yarattığı olumsuz koşulları kadınların erkeklerden daha katmanlı yaşadığını açığa çıkarmaktır. Bu bağlamda ‘madun’ kavramı hiçbir yerde sesi çık(a)mayan ya da duyul(a)mayan sığınmacı kadınları ifade etmek, açıklamak için kullanılan bir kavram olması vesilesiyle analizimin temel çerçevesini oluşturacaktır. Tartışmamın odağında, çoğunlukla çatışma bölgelerinden kaçan ve Türkiye’de üçüncü bir ülkeye yerleşmek üzere “geçici” olarak bulunan Suriyeli kadın sığınmacılar vardır. Bu bağlamda makale öncelikle Suriyeli kadın sığınmacıların bu ‘geçici’ olma durumundan nasıl etkilendiklerini ele almaktadır. Zira Türkiye’de, sınırlarının doğusundan bir ülkeden gelen kimseye kalıcı mültecilik statüsü verilmemektedir. Daha sonra da makalede Doğulu olmanın, geçici olarak yabancı bir devletin himayesinde bulunmanın ve kadın olmanın yarattığı birbirine geçişli dışlanma pratikleri postkolonyal feminist tartışmalarının yarattığı zeminden faydalanarak birbiriyle etkileşimi içinde değerlendirilmektedir.
NK Cell-Fc Receptors Advance Tumor Immunotherapy
Authors: Sanseviero Emilio
Published: October 2019

Immunotherapy has revolutionized the treatment of cancer patients. Among immunotherapeutic approaches, antibodies targeting immune checkpoint inhibitors Programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are approved for treatment of metastatic melanoma and are in clinical trials for a variety of other cancers. The contribution of Natural Killer (NK) cells to the efficacy of immune checkpoint inhibitors is becoming more evident. Enhancing both T and NK cell function in cancer could result in a robust and durable response. Along with the ability to directly kill tumor cells, NK cells can mediate antibody-dependent cellular cytotoxicity (ADCC) given the expression of Fragment Crystallizable (Fc) receptors. Promising novel antibodies modified with improved Fc-receptor-mediated functions or Fc-engagers to kill target cells have been tested in pre-clinical models with considerable results. Combination therapies with immune-therapeutic antibodies with enhancers of NK-cell Fc-receptor-mediated function can be exploited to increase the efficacy of these antibodies. Herein, I discuss possible strategies to improve the success of immunotherapy by boosting NK cell function.
Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array
Authors: Byun Sung-Woo , Lee Seok-Pil
Published: October 2019

Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors, and other types of sensors have been used to identify gestures. However, there are different drawbacks for each sensor, which affect the detection of gestures. In this paper, we present a new gesture recognition method using a Flexible Epidermal Tactile Sensor based on strain gauges to sense deformation. Such deformations are transduced to electric signals. By measuring the electric signals, the sensor can estimate the degree of deformation, including compression, tension, and twist, caused by movements of the wrist. The proposed sensor array was demonstrated to be capable of analyzing the eight motions of the wrist, and showed robustness, stability, and repeatability throughout a range of experiments aimed at testing the sensor array. We compared the performance of the prototype device with those of previous studies, under the same experimental conditions. The result shows our recognition method significantly outperformed existing methods.
Effect of the Addition of Soluble Dietary Fiber and Green Tea Polyphenols on Acrylamide Formation and In Vitro Starch Digestibility in Baked Starchy Matrices
Authors: Torres José David , Dueik Verónica , Carré David , Bouchon Pedro
Published: October 2019

Starch digestibility may be affected by food microstructural changes, as well as by specific interactions with some biomolecules, such as soluble dietary fibers (SDFs). It is well-known that acrylamide (AA) is a toxic and potentially carcinogenic compound formed in starchy food products processed at temperatures above 120 °C. This study aimed to investigate the effect of the addition of SDF and green tea polyphenols (GTP) on AA formation and in vitro starch digestibility in baked starchy matrices. The formulations were prepared using gluten and wheat starch, ensuring ~40 ± 2% (wet basis, w.b.) moisture in the doughs. In some samples, 7.5% (dry basis, d.b.) of starch was replaced with inulin (IN), polydextrose (PD) or partially hydrolyzed guar gum (PHGG), and/or with GTP at 1% (d.b). Acrylamide was determined by gas chromatography–mass spectrometry, and the in vitro starch digestibility using the Englyst method. The GTP was able to reduce AA content by ~48%, and a combination of IN-GTP allowed it to be reduced by up to ~64%, revealing the lowest rapidly available glucose content (~17 mg/g glucose). While a PD-GTP mixture reduced the AA content by around ~57% and gave the highest unavailable glucose fraction (~74 mg/g glucose) compared to the control. This study showed how functional ingredients could be used to develop successfully healthier starchy bakery foods.
The Convergence and Mainstreaming of Integrated Home Technologies for People with Disability
Authors: Layton Natasha , Steel Emily
Published: October 2019

If human rights begin in small places close to home, technologies that enable people with disability to access and control their home environments are an important human rights instrument. Smart homes exemplify recent advances in design, building construction, and integration of technologies within the built environment. They draw on multiple social and technical disciplines that share a broad vision but lack a common language, creating ambiguity and limiting the usefulness of the evidence base in determining optimal ways to integrate technologies and housing design to meet diverse needs. The convergence of mainstream and assistive technologies offers the potential of accessible and affordable strategies for inclusion, but also risks further exclusion of marginalized sections of the population. Coordination of efforts might accelerate translation of knowledge and diffusion of innovations into the practices of planning, designing, building, and sustaining housing that promotes independent living. This conceptual paper reviews the theoretical frameworks and terminology from fields of research involved in the design and use of technologies in the home environment to enable people with disability and older people. It considers approaches to design and interventions that could inform policies and practices as well as further research and development activities.
Association of the specifics of interpersonal dependence with subjective well-being in adulthood
Authors: Kamenskiy Pyotr I.
Published: October 2019

The article is devoted to the problem of association of the specifics of interpersonal dependence with subjective well-being in adulthood. The author shows the actualised need to consider the aspect of dependent behaviour of a person in connection with deficient knowledge in this area. The emergence of new types of non-drug addiction. The author reveals the peculiarities of interpersonal dependence and subjective well-being. The author considers interpersonal dependence as both normative and non-normative. Finally, the author comes to the conclusion that regulatory dependence is associated with subjective well-being, with its high performance. At that, the author emphasises that the study is far from completion and requires multidimensional study of both non-normative and normative interpersonal dependence.
Orientasi Petani Bertani di Lahan Kering Kasus di Desa Jingkang Kecamatan Tanjung Medar Kabupaten Sumedang
Authors: Sukayat Yayat , Supyandi Dika , Judawinata Gunardi , Setiawan Iwan
Published: October 2019

In the monetary crisis that occurred in 1998, the agricultural sector has shown its resilience as a hero in saving the nation's economic downturn. In the use of land for farming, no longer only pay attention to wetlands but begin to look at dry land, with all its characteristics such as tofografi (landscapes), water availability, and soil fertility, such as herbs and or medicines. The purpose of this study is to describe the business orientation ( cultural values) in farming. The research design is quantitative, with descriptive survey techniques from a sample size of 30 farmers. The results of the study, farmers' orientation in farming began to shift from social orientation to economic orientation, by keeping or aligning themselves with nature.
ACCEPTANCE OF STUDENTS TOWARDS E-LEARNING IN MALAY LANGUAGE TEACHING AND LEARNING
Authors: Ngadiron Suhaila , Abd Aziz Azureen , Muhamad Rusly Nurien Hidayu
Published: October 2019

The development of the information and internet era has transformed traditional learning trends into the form of online versions and has indirectly contributed to the flexible teaching and learning environment. As a result, it seeks to accelerate the teaching and make the learning process more effective. The sample consists of 30 students who take diploma courses from various programs of study. The sample selection was based on a random sampling group which seeks to meet the needs of the researcher. For the purpose of this study, a questionnaire was used to collect research information. This survey design was used because of its suitability for reviewing the implementation of e-learning in Malay language teaching and learning. This type of instrument is saving the researchers’ and students’ cost and time. The findings were identified through the acceptance of students towards e-learning in teaching and learning which gave a relatively high overall value of 27. The results of this study showed that students' interest in information technology and the internet as an important intermediate medium today is at a high level. Therefore, this study is expected to be beneficial to the Ministry of Education, lectures, and teachers because they could apply this study as guidance and guidelines in the teaching of Malay language.
CRITERIA OF PERFORMANCE OF INTERNATIONAL SCIENTIFIC COOPERATION OF ENERGY ENTERPRISES
Authors: Turianytsia Valerii
Published: October 2019

The importance of international scientific cooperation in the field of energy is considered in the article. The participation of domestic energy enterprises in international scientific cooperation on issues of nuclear and alternative energy, as well as in the oil and gas and coal industry is characterised. The criteria for evaluating the effectiveness of international scientific cooperation of energy enterprises are determined. The indexes for determining the level of the effectiveness of international scientific cooperation of energy enterprises for scientific and technological, financial and economic, marketing, social and economic and environmental criteria are proposed.
STRATEGIC ASPECT OF FORMING REGULATORY POLICY OF SOCIO-ECONOMIC DEVELOPMENT OF AGRICULTURAL PRODUCTION
Authors: Nikolyuk O. , Livinsky A.
Published: October 2019

The article reveals the strategic aspect of forming the regulatory policy of the socio-economic development of agrarian production, creates an algorithm for the formation of a rational regulatory policy for the socio-economic development of agrarian production, strategic imperatives to ensure the socio-economic development of agrarian production associated with the transition to an innovative way of institutional and structural modernization of agrarian production.
FORMATION OF MECHANISM OF INSTITUTIONAL REGULATION OF SOCIAL AND ECONOMIC PROVIDERS OF PERSONS WITH DISABILITIES
Authors: Kazarian G.
Published: October 2019

The article defines the methods and principles of forming the mechanism of institutional regulation of social and economic provision of persons with disabilities, deficiencies of the domestic financial mechanism of socio-economic provision of persons with disabilities and mechanisms of institutional regulation of socio-economic provision of persons with disabilities.
Design and Analysis of Multi-functional PCB
Authors:   Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D institute of science and technology, Chennai, India., Kumar* Sarath Babu , Thangaraj Bharathi ,   Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D institute of science and technology, Chennai, India., Bernot Francois ,   Scientific Director, FranceCol Technology, Tours, France., Chandrasekar P. ,   Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D institute of science and technology, Chennai, India.
Published: October 2019

As the use of electric vehicle is increasing continuously. One form of such vehicle is electric bicycle (E-bike). This paper deals with a brief description of an Electronic Control Unit (ECU) for e-bikes and with enhanced motor control. It focuses on the description of the design of the basic types of this Electronic control unit. Electric bicycles use a three phase BLDC motor (Brushless Direct Current Motor). The aim is to implement the low power; 8-bit microcontroller and BLDC Controller can used to drive such a three phase BLDC motor. The microcontroller manages the function like Pedal assist and wheel locker. An Electronic Control Unit comes with a standby mode and it can drive the Induction motor, the 8-bit microcontroller acts as a proxy shaft sensor and input provider to BLDC controller making it an all-purpose ECU.
Movie Success Prediction
Authors:   Department of CSE, SRMIST, Chennai, India., Gupta* Kshitij , bajpayee Shubham ,   Department of CSE, SRMIST, Chennai, India., Priyadharsini A.Meena ,   Department of CSE, SRMIST, Chennai, India.
Published: October 2019

The film business is a billion-dollar business, and extensive measure of data identified with motion pictures is accessible over the web. In this system we are analyzing the dataset for predicting the success of the movies. For doing this the analysis of the dataset is done in which the chronicled information of every segment, for example, actor, actress, director, music that impacts the achievement or disappointment of a motion picture is given weight age and after that dependent on different parameters we are predicting whether the movie will be a flop, average or superhit. Certain algorithms are used that can help to predict whether the movies will be a flop, average, or superhit. In this model we focus on the attribute selection for predicting success of the movies. A comparative analysis is to be performed so as to find the accurate results among the algorithms used. Few parameters that are important for predicting success of a movie are gross, genres, release date, star powers of actors, actress, directors, and budget etc. In the dataset there are 28 parameters. The task is to find out most relevant parameters. This will be achieved by Feature selection method as shown in figure 1. Feature selection method is present in “sklearn” library of python. Feature selection method includes Decision trees, information gain, gain ratio. Generating heatmap to visualize success of movie in different regions. Various graphs are generated between time vs algorithms and accuracy vs algorithms for analysis.
Predictive Analytics on Rainfall using Long Short Term Memory for Identification of Drought
Authors:   Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology,Chennai, India, Karthikeyan* Vignesh , Poornima S. ,   Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Pushpalatha M. ,   Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India
Published: October 2019

A drought is duration of below-average precipitation in a certain region, resulting in prolonged shortages in the supply of water. It occurs naturally and has perilous impacts on the society. Observation of patterns of droughts in the past and using it to predict the ones likely to occur in the future can be very helpful. Preparations can be made to try and limit their effects on the society. Drought is however random and dependent on drought variables that possess a non-linear nature. With development in neural networks in the past years, it has shown good scope for time-series prediction with non-linear models. This research approaches the drought prediction problem with the use of Recurrent Neural Networks. The proposed model makes use of past years rainfall values to predict the risk of shortage of rainfall in the given region. The model is expected to show better performance over the existing traditional methods.
Virtual Migration with the Help of Cloud Simulator to Balance the Data Load
Authors:   PG Scholar, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India., Reddy* J.Srinivasulu , Supraja Dr. P. ,   Assistant Professor, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India
Published: October 2019

There are various techniques which are giving the solid issues with virtualization like the mode the type and the format of the data between the clients and services and data between services to services. This could lead the data loss and to solve this issue when virtualization the data has to be properly extracted and from the various selected extensions. So this work proposed a new framework with respect to API called personal virtualization application process interface API(PVA). This PVA is platform unspecific and can be utilized over the clouds and across the clouds with virtualization. Generally over the clouds if any data accommodation issues comes into scenario then the data migration can happen with the help of “extension dynamic creation”(EDC) of virtual machine making and data storage can happen in that new virtual machine with out any data loss. The EDC will preserve the data with out any duplication and stores in the virtualized machine. The threshold is based on the data storage capacity of the virtual machine which is allocated from cloud sim when allocation of cloudlets. The data selection process is dynamic and extraction of the solid data in the form PVA and same type of the data model will be maintained throughout the communication when virtualization happens. Now the data migration is safe when compared to the previous works which has no proper allocation of the data formats and extraction.
Lifetime Estimation of WSN with Enhanced Pairwise Directional Geographic Routing
Authors:   Department of Electronics and Communication Engineering,, Sri Sai Ram Institute of Technology, Chennai, Tamil nadu India,, Saravanan* G. , Devi R.Lakshmi ,   Department of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil nadu India,
Published: October 2019

This research work proposes an enhanced pair-wise directional geographic routing (EPWDGR) technique using the directional antenna and compares it with the conventional pair-wise directional geographic routing (PWDGR) method that uses the Omni-directional antenna. PWDGR has two key limitations - minimum network lifetime and its use of static nodes. The EPWDGR technique aims to overcome these pitfalls by incorporating a directional antenna patch that requires lesser power, thereby increasing the network lifetime. The validations have been performed through simulations that use a random waypoint mobility model which is more practical. Varying performance metrics have been used for the estimation of network lifetime. The EPWDGR also solves the energy bottleneck problem at the nodes near the sink.
Smart Farming using Temperature Sensor, Moisture Sensor, Flow Sensor and Ultrasonic Sensor Leading to Water Conservation.
Authors:   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune , Maharashtra , India., Garud* Radhika Rajendra , Mane Dr. Pradeep B. ,   Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune , Maharashtra , India.
Published: October 2019

For the entire living organisms in this world water is the crucial element for survival. Without water there is no life present, which makes it very difficult to craft the art of survival. As the fresh water resources are very limited in numbers we have to use this usable form of water in a very artistic way so that the future may not get more worsen. Out of 100 %, oceans contribute in almost 97 % of salty water which can be rarely used for any of the daily activities. Only 3 % of water is in the fresh format and can be utilized by all of the living creatures today for their own survival. Nearly 70 % of the Earths land is covered by water and out of this only 3 % of water is available in the usable form and rest of the water is either saline or present in the oceans. Out of the 3 % of the fresh water available on the Earths crust today, only 1% of the water is easily available and accessible to all the living beings as rest of the fresh water is trapped under the North and South Poles – Ice caps, Glaciers and Icebergs. The day our planet Earth was born, it had a amount of fresh water, the same amount of fresh water is available now at this present time, but this available amount of water was quite adequate in the earlier times as the population was under control and also the human activities were under control. The same amount of fresh water today is in crisis as the population has exploded with several other human activities in it. The proposed System has the ability to conserve and to limit the use of water in an adequate and proper manner without wasting it. The use of several Sensors onto the fields will eventually alert the system to start or make ON the water supply if the sensed parameters will fall below the threshold value. The use of WiFi Module will enable us to archive and check the real time physical elements data collected from the field and can directly connected to computers or other USB devices.
Object Detection and Tracking using Faster R-CNN
Authors:   Advanced Analytics and Cognitive Computing, IBM India Private Limited, Bengaluru, 560067, INDIA., Panda* Chakradhara
Published: October 2019

This paper uses a deep learning model called Faster R-CNN to detect and track objects in images. Two backbone networks such as ResNet-101 and VGG-16 are tested on a self-created dataset and PASCAL VOC dataset. Intersection over union (IoU) technique is used for the purpose of object tracking. The impacts of batch size, number of iterations and learning rate are analysed. The paper finds that ResNet-101 outperforms VGG-16 significantly by 13% on test data. This finding reinforces that deeper network is better in feature extractions and generalizations. IoU is able to track multiple objects and can identify the loss of track. The processing of frames per second is found to be 5 fps. The study has implications for many computer vision applications. For example, the deep learning based object detection and tracking can either augment the capability of LiDARs and Sensors or become an alternative to them in self-driving vehicles.
Distributed FP Growth Algorithm for Cloud Platform without Exposing the Individual Transaction Data
Authors:   Research Scholar, Department of Computer Science and Engineering, Sri Venkateswara Univrsity, Tirupati., Byreddi* Ms Saritha , Reddy Dr.A.Rama Mohan ,   Professor, Computer Science and Engineering, SV University College of Engineering, Tirupati,
Published: October 2019

Data mining is a concept of extracting the required patterns to take appropriate decisions. One of the major challenges in data mining is to extract hidden patterns with the secure and privacy from the huge databases. Privacy preserving is a method used to extract hidden patterns with privacy. In this paper Mining Association rules with privacy preserving mechanism in the cloud platform is proposed. It is a powerful technique to find the hidden pattern in the distributed database. For now many mechanisms has proposed but it has many drawback, not proven and not specific. In cloud the data is stored in the servers. The data is distributed in different servers in cloud platform. Each server has one of the transaction data. The current paper proposed the distributed FP growth algorithm for cloud platform without exposing the individual transaction data. The results proved that the proposed algorithm is best to extract hidden pattern from Cloud platform in terms of efficiency.
DDOS Attack Detection and Handling Mechanism In WSN
Authors:   Assistant Professor, Department of Computer Science and Engineering at SoET, BGSB University Rajouri (J&K)., Dogra* Amit , Dr. Taqdir  ,   Assistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev University, R/C Gurdaspur.
Published: October 2019

Wireless sensor network(WSN) uses in many distinct applications including real time event detection. Sensor nodes(SN) have limited energy associated with them that is required to be conserved. Once all the energy of the sensors is drained, then network dies. In addition sensor nodes are exposed to everyone hence SN is susceptible to attacks. Distributed denial of service attack is one of the common attacks caused by malicious attacker causing congestion and decay in lifetime of the network. DDOS attack floods network with the bogus requests. This causes the legitimate request to be avoided by the server due to lack of resources. Detection and prevention of such attacks thus becomes critical. This paper provides study of techniques used to detect DDOS attack along with suggest modification for improving classification accuracy in the detection techniques. in addition this paper also highlight other metrics such as mean time to failure and mean time between failure for improving the detection process.
Optimization of Shadow Detection and Removal using Multilevel Thresholds and Improved Artificial Bee Colony Algorithm
Authors:   Pursuing Ph.D. Degree, Digital Comm MANIT Bhopal, Das* Rakesh Kumar , Shandilya Madhu ,   Professor, Electronics and Communication Engineering Department, MANIT, Bhopal, India.
Published: October 2019

Shadow Detection and removal from images is a challenging task in visual surveillance and computer vision applications. The appearance of shadows creates severe problems. There are various methods already exists but scope in this area is wide and open. In this paper, Optimization of Shadow Detection and Removal using Improved Artificial Bee Colony Algorithm (IABC) is proposed. The proposed method uses edge map, multilevel thresholds, masking, boundaries evaluation and, IABC algorithm. First data pre-processing is applied to find the correlation between the pixels then three level low, medium and high value of thresholds and the corresponding value of masking and boundaries are calculated to accurately differentiate pixels as foreground. The edge response, curvature, gradient are applied to find the true location of boundaries. Finally, IABC has been applied for detecting the shadow and median filter is used to remove the shadow. The results show improvement as compared to other existing methods.
Technologies for the Development of Methods for Evaluating an Innovative System
Authors:   Bryansk State Technological University of Engineering, Bryansk, Russian Federation., Kulagina* N.A. , Mikheenko O.V. ,   Bryansk State Technological University of Engineering, Bryansk, Russian Federation., Rodionov D.G. ,   Peter the Great St. Petersburg Polytechnic University, Saint – Petersburg, Russia.
Published: October 2019

The purpose of this work is to develop proposals for improving the methodology for assessing the innovative development of the socio-economic system of Russian regions based on the achievements of international theory and practice in this field of research. To accomplish the task, the authors considered both conceptual and empirical approaches to the assessment of regional innovation systems in modern conditions of development. The article presents a new structure of the integral innovation index of the regions of Russia based on a critical review of the results of well-known scientific research and approaches that are used by leading development institutions. The authors have proposed the grouping of primary indicators into subindexes, reflecting the potential, conditions for development, activity and effectiveness of the innovation system of the region. The calculation of the value of the final integral index is carried out by taking into account the weights of the subindexes, while the study presents theoretical and practical developments that largely shift the emphasis on the effectiveness and efficiency of innovation activities. Special attention is paid to the interpretation of assessment results. Based on the range of possible values it was proposed to group regions by the identified types of innovation systems. The authors have tested the developed method on the example of the subjects of the Central Federal District of Russia, the results of which are illustrated by the innovation map of the regions. Based on the clustering of assessment results, a typology of regional innovation systems has been developed reflecting their heterogeneity. The work substantiates the need for a differentiated innovation policy for different types of regions, taking into account the complex of identified barriers and weaknesses. This will allow to level the obstacles to regional innovation and industrial growth. Thus, we are talking about the need to form a “smart strategy” of the region’s innovative development.
Components of an Effective Talent Management Program: Tricwar Model of Talent Management- A Driver of Change in Business Schools
Authors:   Assistant Professor (Guest), Department of Law, Babasaheb Bhimrao Ambedkar University (B.B.A.U.), Lucknow(A Central University), India., Sharma* Dr. Ravi Kumar
Published: October 2019

This is the era of LPG (Liberalization, Privatization, and Globalization) where the private sector is increasing at a rapid pace. This corporate/ private sector has the requirements of quality professionals, these professionals are produced in the professional institutions. For producing quality professionals there must be quality educational institutes, and for any quality educational institutes the first requirement is having the quality faculty. The role of faculty in an educational institute is highly indispensable. For the growth of any educational institute the proper and full utilization of faculty’s potential is necessary. The full potential of a faculty can only be utilized with the implementation of proper talent management practices. After the recruitment of any good faculty, his/her induction and development is very important, because the development of the faculty is the development of the student and the development of the student is the development of the institute and nation. If a good faculty has been recruited and being offered the development opportunities the professional institute should try to retain that faculty member as long as possible. Retention of the faculty members is a very crucial aspect of talent management. Many job opportunities are always available to the good faculty members, as a result of which, any sort of major dissatisfaction from the current institute may prompt them to look for a new job, under such circumstances, faculty retention becomes a very crucial aspect of talent management for professional institutions.
A Methodology to Alleviation of Security Attack in Software Defined Network
Authors:   Associate Professor, School of Information Technology and Engineering, VIT-Vellore Institute of Technology, Vellore, India., Vijayan* R , Mareeswari V ,   Assistant Professor (Senior), School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore, India., Prasanna S ,   Associate Professor, School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India., Navaneethan C ,   Associate Professor, School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India., Meenatchi S. ,   Assistant Professor (SG), School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India., Gupta Amit ,   School of Information Technology and Engineering, VIT, Vellore, Tamil Nadu, India.
Published: October 2019

Computer Network is a collaboration platform for digital gadgets. Virtualization is abstracting layers from underlying Architecture. Virtualization platform provides flexibility, green resource usage and fast deployment of the carrier. Integration of Computer Network and Virtualization Platform Create Network Virtualization Platform. Software-Defined Network (SDN) Provide dynamic and scalable networking offerings to Business Environments Cloud Network and Data Centers. SDN is controlling network infrastructure with the control plane. Security is a challenging problem for the network. SDN comes with Network Programmability and automation. SDN has an advantage, but it contains a new safety issue. SDN is focused on network safety data plane and control. Security Challenges in SDN is Control Plane, Data Plane Attacks. In Controller Layer Attacker at controller Layer, an routing, visitors filtering denying, or allowing unnecessary site visitors. Control plane assault used to drop or lack of manage over traffic policy and Quality of carrier control. Data Plane Attack Attacker can create DOS Denial of Service.
Socio-Cultural Background of Family: Opportunities and Limitations for Schoolchild Personal Development
Authors:   Doctor of sociological sciences, professor of the Department of Management and Administration. Russian State Social University, The Russian Federation, Moscow., Victorovna* Frolova Elena , Mikhailovna Ryabova Tatyana ,   Assistant professor at the Department of Management and Administration. Russian State Social University, The Russian Federation, Moscow, Vladimirovna Rogach Olga ,   Assistant professor at the Department of Management and Administration. Russian State Social University, The Russian Federation
Published: October 2019

The purpose of the study was the study of family socio-cultural background, or rather, the possibilities of family resource use for the development of positive values and behavioral attitudes of young people. The authors put forward the hypothesis about the functional weakness of the modern family institution which is not able to ensure the socio-cultural development of the younger generation completely. At the same time, it is suggested that the socio-cultural background of a family dominates the possibilities and the limitations of a student's personal development. The Internet survey of Russian parents with school-age children (N = 775) was used as the main research method. After the study the authors conclude that the social and the cultural background of the modern family is destabilizing: there is the replacement of such values as patience, respect and fidelity to such as status, money and career. They established the limitations of a student's personal development in the context of family socio-cultural background study: the absence of cultural experience for intra-family communication, the underdevelopment of channels producing positive values, the absence of interaction effective practices with educational institutions.
A Multi-objective Genetic Algorithm for Optimizing the Nurse scheduling Problem
Authors:   Computer Science Department, Bina Nusantara University, Jakarta, Indonesia., Wibowo* A. , Lianawati Y. ,   Computer Science Department, Bina Nusantara University, Jakarta, Indonesia.
Published: October 2019

This paper explains the use of Genetic Algorithms in overcoming nurses scheduling problems in St. General Hospital Elisabeth. In this paper, Multi-Objective is used to solve problems with mathematical models and is applied to overcome nurse scheduling problems. Health is one of the essential things in human life. There are some departments in the hospital which serve the patients in the hospital, and one of them is the nursing department. The nurses in this department serve the patients every time, but they have limited time as the working hour must not be more than schedule 8 hours. So, there will be a problem in this aspect, especially the working for each nurse because the nurses must be stand by to serve the patients every time. The scheduled operation will be complicated, so we propose a solution by Genetic Algorithm method. The scheduling making by applying Genetic Algorithm method will give more optimal and faster output comparing with a current or manual process.
Design of Wireless Video Surveillance Robot using Raspberry-Pi
Authors:   Department of Electronics and Communcation Engineering, Srinivasa Ramanujam Centre, SASTRA Deemed University, Thanjavur, Taminadu, India., Sudharsna* G.R.Sri , Srinivasan A. ,   Department of Electronics and Communcation Engineering, Srinivasa Ramanujam Centre, SASTRA Deemed University, Thanjavur, Taminadu, India.
Published: October 2019

Video Surveillanve plays the keyrole in security systems. Wireless video surveillance will be the surrogate for the standby surveillance systems. The proposed video surveillance robot can be moved in any direction according to the instructions from the webpage and it streams the captured video lively over the webpage. Raspberry –pi is the heart of this robot.Two software modules, “MOTION” and “FLASK” are incorporated to get the live streaming and to transfer instructions from the webpage to Raspberry-pi.It can be used in small level military applications ,monitoring sytems in residence,hotels.