bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluasi Pelatihan Menilai Berita Palsu atau “Hoax” Pada Kelompok Arisan Dosen Perempuan
Authors: Hadiyati Hadiyati , Fatkhurahman Fatkhurahman , Suroto Bambang
Published: November 2019

Abstract: Situasi mitra berkenaan dengan kemampuan menilai berita palsu memang masih menjadi rendah, dimana terdapat keinginan dari mitra untuk mendengarkan tentang bagaimana menilai berita yang benar dan aspek-aspek apa saja yang perlu mereka lihat. Kemudian sebagai dosen perempuan dan kalangan intelektual mereka sikap mereka berdampak kepada tindakan dalam bentuk menyampaikan kembali berita kepada mahasiswa dan bila beritanya tidak benar maka akan berakibat pada penyesatan informasi yang disampaikan. Melalui metode pelatihan penilaian berita palsu atau hoax kepada dosen perempuan yang tergabung dalam kelompok arisan yakni dengan memberikan pengetahuan, pemahaman dan ketrampilan dalam menilai berita sebuah berita. Melalui ceramah dan praktek serta penilaian yang dilakukan dengan menggunakan pre test dan pos test akan memberikan penilaian yang lebih nyata kepada dosen perempuan akan keberhasilan pelatihan ini. Setelah dilaksanakannya pelatihan menilai berita bohong atau hoax dosen perempuan dapat dengan sungguh-sungguh mengikuti pelatihan, hal ini dilihat dari jumlah peserta yang ditargetkan 50% hadir dan sampai pada akhir kegiatan pelatihan mencapai 70% dan kemudian setelah dilakukan pre test dan post test bagi peserta menghasilkan kemampyan menilai berita palsu, memahami maksud disebarkannya berita palsu dan juga mampu menilai dan bersikap setelah menerima berita palsu sehingga menghasilkan informasi yang benar dan membedakan mana yang benar dan mana yang salah dan akhirnya akan menyampaikannya kembali kepada mahasiswa di kelas.

   

Keywords: Pelatihan Menilai Berita Palsu, Hoax
Penerapan Metode Tebak Kata Dalam Meningkatkan Pemahaman Siswa tentang Peranan Indonesia Dalam Era Globalisasi di SD Negeri 025 Indra Puri
Authors: Supingi Supingi
Published: November 2019

Pelajaran kepada murid sekolah dasar lebih ditekankan bagaimana memberikan pengetahuan tentang semua hal. Pengetahuan ini lebih diarahkan kepada mereka untuk mengenal bagaimana kondisi nyatanya. Pelajaran pendidikan kewarganegaraan menjadikan dasar bagi murid SD untuk mengenal bangsa Indonesia dan sebagaimana warganegara dan juga berkaitan dengan peranan bangsa Indonesia di kancah globalisasi. Melalui penelitian tindakan kelas, akan menerapkan metode tebak kata untuk menambah peningkatan pengetahuan beserta dengan pemahamannya dalam melihat materi pelajaran peranan Indonesia di era globalisasi. Kepada siswa SD Negeri 025 khususnya kelas VI diterapkan metode ini dan data yang terkumpul melalui observasi dan kuesioner dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa penerapan metode tebak kata yang diterapkan kepada murid SD kelas VI mampu meningkatkan pengetahuan dan pemahamannya tentang peranan bangsa Indonesia di era globalisasi.
Analisis Peran CV. Graha Pratama Fish dalam Mengembangkan Inovasi dan Kreativitas Penduduk Lokal Mengelola Produk Olahan Ikan Patin di Kampung Patin
Authors: Lubis Kartika Sari
Published: November 2019

Dengan semakin meningkatnya kreativitas sumber daya manusia (SDM), tentunya akan menjadi kekuatan baru dalam pertumbuhan ekonomi Indonesia. Seperti halnya di Desa Koto Masjid atau yang lebih dikenal dengan Kampung Patin ini, dengan kreativitasnya penduduk lokal berhasil mensejahterakan kehidupan ekonomi mereka melalui ide dan stock of knowledge yang mereka dapatkan dari CV. Graha Pratama Fish. Pemerintah setempat juga telah membuktikan keberhasilan kreativitas mereka dalam berinovasi. Di samping telah mempunyai sentra pakan ikan sendiri, kini penduduk local telah mampu menciptakan produk kreatif yang bisa dijadikan penghasilan tambahan lainnya dengan berbagai aneka ragam olahan dari ikan patin (yang menjadi sumber daya alamnya). Hasil olahan ikan patin ini berupa makanan ringan atau jajanan sehat yang bernilai gizi tinggi seperti salai ikan patin, nugget ikan patin, bakso ikan patin, abon ikan patin dan kerupuk kulit ikan patin. Tentunya hal ini merupakan prestasi luar biasa, yang mereka dapatkan melalui pelatihan-pelatihan serta motivasi dari CV. Graha Pratama Fish.
Pembinaan Kelompok Usaha Bersama Bagi Perempuan Berwirausaha Di Perumahan Graha Rawa Bangun Kota Pekanbaru
Authors: Hadiyati Hadiyati , Suroto Bambang , Fatkhurahman Fatkhurahman
Published: November 2019

Situasi mitra berkenaan dengan lemahnya pengembangan usaha mikro yang dimiliki mitra, mitra usaha adalah perempuan yang menjadi tulang punggung keluarga seperti: perempuan yang ditinggal suami dan manula. Perempuan tersebut memiliki usaha pokok yang dijadikan sandaran utama penghasilan kehidupan keluarga seperti usaha dagang harian, jualan gorengan, menerima upahan mencuci dan menggosok, bertani jahe di halaman rumah dan juga jualan bumbu giling. Focus masalah lebih kepada kurangnya dukungan dari berbagai kalangan untuk usaha mereka karena usaha yang mereka jalankan tidak memiliki kelompok. Dukungan permodalan dari pemerintah kelurahan dan juga pihak lainnya membutuhkan kelompok usaha. Solusi yang ditawarkan adalah memberikan pengetahuan dan pembentukan kelompok usaha bersama bagi mitra.          Melalui metode sosialisasi dan pembentukan kelompok usaha bersama dengan memberikan pengetahuan, pemahaman dan ketrampilan dalam mengelola kelompok usaha bersama. Melalui ceramah dan pembentukan serta penilaian yang dilakukan dengan menggunakan pre test dan pos test akan memberikan penilaian yang lebih nyata kepada mitra akan keberhasilan kegiatan ini. Berdasarkan hasil pengabdian masyarakat yang dilakukan di lapangan berkaitan dengan upaya meningkatkan kapasitas kelembagaan UMKM menunjukkan adanya perubahan pengetahuan mengenai kelompok usaha bersama dan juga manfaat yang akan mereka dapatkan, kemudian peserta sosialisasi membuat komitmen dalam kelompok serta mereka membuat rencana yang jelas pada setiap usaha yang dijalankan.
Pembentukan Kelompok Usaha Bersama Perempuan Di Kelurahan Tuah Karya Kota Pekanbaru
Authors: Novita Novita , Lubis Kartika Sari , Sundari Rina
Published: November 2019

Kelompok Usaha Bersama (KUB) adalah kelompok warga atau keluarga binaan social yang dibentuk oleh warga atau keluarga binaan social yang telah dibina melalui program kegiatan Kementrian Sosial untuk melaksanakan kegiatan kesejahteraan social dan usaha ekonomi dalam semangat kebersamaan sebagai sarana untuk meningkatkan taraf kesejahteraan social terutama bagi perempuan sebagai nilai tambah bagi penghasilan keluarga.             Tujuan pengabdian masyarakat ini adalah sebagai upaya mempercepat penghapusan kemiskinan melalui peningkatan kemampuan berusaha para anggota Kelompok Usaha Bersama yang beranggotakan perempuan secara bersama dalam kelompok, peningkatan pendapatan, pengembangan usaha dan peningkatan kepedulian dan kesetiakawanan social diantara para anggota KUB dan dengan masyarakat sekitar.             Metode pengabdian yang diterapkan adalah Pembentukan, Pembinaan, Monitoring dan Evaluasi. Pembinaan dimaksudkan sebagai upaya untuk meningkatkan daya guna dan hasil guna penumbuhan dan pengembangan KUB, disamping meningkatkan motivasi dan kemampuan pelaksanaan dilapangan serta kapasitas manajemen pengelola KUB. Monitoring dan Evaluasi dilakukan untuk mengetahui perkembangan KUB dan permasalahan yang merupakan hambatan serta upaya pemecahannya sehingga upaya penumbuhan dan pengembangan KUB berjalan sesuai dengan rencana.
IPTEKS Pembukuan dan Pelaporan Keuangan bagi UMKM Binaan BMT Mitra Arta
Authors: Salmiah Neneng , Nanda Satria Tri , Adino Intan
Published: November 2019

Program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan Pelaku UMKM Binaan BMT Mitra Arta dalam membuat pembukuan dan pelaporan keuangan sehingga dapat digunakan untuk menilai kinerja usaha dan meningkat akses pendanaan terutama pembiayaan dari BMT Mitra Arta Pekanbaru. Metode yang digunakan dalam kegiatan ini adalah metode penyuluhan dan pelatihan dengan cara memberikan pengetahuan tentang pembukuan dan pelaporan keuangan UMKM sesuai SAK EMKM. Kegiatan dilanjutkan dengan memberikan simulasi membuat pembukuan dan penyusunan laporan keuangan sesuai dengan transaksi dan jenis usaha UMKM tersebut.  Pada kegiatan pelatihan ini, pelaku UMKM yang menjadi Binaan BMT Mitra Arta Pekanbaru akan dilibatkan secara kolaboratif dari awal sampai akhir kegiatan. Kegiatan meliputi penyuluhan dan pelatihan dengan metode ceramah, simulasi dan Tanya jawab. Kegiatan dilanjutkan dengan memberikan post test untuk melihat tingkat keberhasilan kegiatan yang telah dilaksanakan. Hasil dari kegiatan pengabdian kepada masyarakat ini sesuai target yang diharapkan yaitu terjadi peningkatan tentang pembukuan dan pelaporan keuangan kepada UMKM Binaan BMT Mitra Arta Pekanbaru dan artikel ilmiah yang akan dipublikasikan di tingkat nasional.
Pemanfaatan Kain Perca Di Kelurahan Tangkerang Timur, Kecamatan Tenayan Raya, Pekanbaru
Authors: Zaharman Zaharman , Novianti Serly , Arini Arini
Published: November 2019

Kegiatan Pengabdian Masyarakat ini bertujuan untuk memberikan pengetahuan kepada mitra yaitu ibu-ibu pengrajin ambon tepatnya pada RT 004 RW 002 bagaimana meningkatkan pemahaman dan pengetahuan tentang pembuatan ketrampilan menjahit, serta pemanfaatan kain perca, yang dilaksanakan di Keluruhan Tangkerang Timur Kecamatan Tenayan Raya Pekanbaru. Metode kegiatan pengabdian masyarakat ini menggunakan metode praktek langsung pemanfaatan kain perca dan pemberian motivasi kreativitas kepada ibu-ibu pengrajin Ambon. Praktik dilakukan dengan memberikan contoh langsung dalam membuat alas kaki. Harapan dari pelaksanaan pengabdian ini adalah tumbuhnya kreativitas dari ibu-ibu pengrajin Ambon dalam memanfaatkan kain perca yang banyak disekitar kita, sehingga dengan pengabdian yang langsung di lakukan oleh ibu-ibu Ambon dapat menghasilkan penghasilan sendiri dan meningkatkan perekonomian di dalam rumah tangga.
LA CRISIS BIOLÓGICA DE LA EDUCACION CHILENA. ESCOLARIZACION Y POLÍTICA SOCIAL, 1930-1960
Authors: Rengifo Streeter Francisca
Published: November 2019

El artículo analiza el truncado proceso de escolarización en el periodo en que el Estado quiso institucionalizar el acceso universal a la educación primaria. Este objetivo, contenido en la ley de obligatoriedad escolar de 1920, fue desafiado por problemas de deserción y rezago escolar que evidencian una base social de la educación extensa en cobertura, pero delgada en términos del nivel de escolaridad. Para explicar este fenómeno, el artículo distingue entre la extensión de la cobertura y la expansión de la escolaridad, identificando desequilibrios internos del proceso de escolarización. Constata que, a pesar de la demanda social por educación, la política pública no priorizó a la escuela. Los resultados obtenidos discuten el supuesto que vincula la expansión de la educación pública a una agenda más amplia de inclusión social enmarcada en el Estado de bienestar, cuyo énfasis triunfalista ha oscurecido sus dinámicas excluyentes.
INTELECTUALES Y NUEVA DERECHA EN ARGENTINA: EXPERTOS, MEDIÁTICOS E IDEÓLOGOS EN LA CONSTITUCIÓN DEL PRO
Authors: Pulleiro Adrián Pulleiro
Published: November 2019

En el marco de la crisis argentina de 2001-2002, emergió PRO, una nueva formación política que en 2007 llegó a la alcaldía de la Ciudad de Buenos Aires y en 2015 conquistó el gobierno central. El objetivo de este artículo es indagar el papel que en el proceso de emergencia y consolidación del PRO jugaron un conjunto de intelectuales que se desempeñaron en tareas de “asesoría” y en ciertos think thanks. Analizamos acciones y discursos producidos en el seno de experiencias históricas concretas que cruzan prácticas políticas, dinámicas institucionales y trayectorias intelectuales. Priorizamos el período 2007-2015, ya que marca la etapa de consolidación del PRO y permite advertir cambios en el papel y el funcionamiento de las prácticas y espacios que nos interesa indagar.
evaluasi pasca pelatihan pemberian makan bayi dan anak (PMBA) pada kader posyandu terhadap peningkatan status gizi bayi dan balita
Authors: Widaryanti Rahayu , Rahmuniyati Merita Eka
Published: November 2019

Pelatihan PMBA (Pemberian Makan Bayi dan Anak) di kota Yogyakarta dimulai pada tahun 2016 dan dilaksanakan 3 angkatan. Setiap angkatan terdiri dari 12 kader posyandu. Salah satu kader yang telah dilatih PMBA oleh Dinas Kesehatan Kota Yogyakarta adalah kader Puskesmas Tegalrejo. Tujuan dari pelatihan PMBA ini adalah untuk meningkatkan status gizi bayi dan balita. Setelah tiga tahun dilakukan pelatihan PMBA belum ada penurunan masalah gizi yang signifikan. Pada tahun 2019 masih terdapat 6,53% gizi kurang, 1,18 % balita mengalami status gizi kurus, dan 12,46 % balita mengalami stunting. Oleh sebab itu perlu diadakan evaluasi pasca pelatihan konseling PMBA bagi kader. Rancangan penelitian ini adalah studi kasus dengan pendekatan kualitatif. Tehnik sampel yang digunakan adalah menggunakan tehnik purposive sampling. Pengumpulan data dilakukan dengan wawancara mendalam dan studi dokumentasi. Informan utama dalam penelitian ini adalah kader posyandu yang telah mengikuti pelatihan PMBA sejumlah 6 orang. Informan triangulasi dalam penelitian ini adalah bagian gizi Puskesmas Tegalrejo dan seksi gizi Dinas Kesehatan Kota Yogyakarta serta ibu yang mempunyai balita. Pelatihan PMBA dilaksanakan selama 6 hari (24 Jam) dengan 12 peserta. Hasil monitoring kegiatan pelatihan belum dilaksanakan secara optimal, kader belum mengimplementasikan hasil PMBA secara maksimal dan masih banyak menemukan kendala. Kendala tersebut mempengaruhi keberhasilan penurunan masalah gizi dan balita di Kota Yogyakarta.
Time Efficient Round Robin Job Scheduling (NARR) in Cloud Computing
Authors:   Assistant Professor, Department of Computer Applications Doon University Dehradun (Uttarakhand) India., Jahan* Afsar , Dr. Ritika  ,   Professor of Computer Science, Head, Department of Computer Applications, DIT University Dehradun (Uttarakhand) India., Saini Dr. Rakesh ,   Assistant professor (senior grade) Department of Computer Science and Application, DIT University Dehradun (Uttarakhand) India.
Published: November 2019

Cloud computing simply means the advancement of distributed computing which takes data processing computational aspects over networks to centralized high-power data centers. It refers to the use of a centralized pool of resources that are distributed on a pay-per-view model to a large number of customers. This requires scheduling algorithms that allow us to define which task processes, among which resources are first allocated for performance. The Round Robin (RR) scheduling algorithm is the common scheduling algorithm used in multitasking and real-time environments. Its performance is largely determined by the amount of time it takes to carry out a specific task assigned by the CPU. If the less time is chosen the context switch is high and the higher time is chosen, the first-come first-server (FCFS) is selected. System's performance thus totally depends on the optimal quantum time to choose from. In this paper, I'm examining a different way of improving the performance of the round robin scheduling algorithm by means of a dynamic time quantum and comparison of different performance.
Working Environment: How Important is it to Make Your Employees Happy
Authors:   Centre for Curriculum and Public Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Isa Khairunesa , Atim Asliaty ,   Center for Languages Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.
Published: November 2019

Human resources with high levels of happiness will impact organizational productivity and performance. Employees spend most of their day working in the organization, so it is obvious that working environment is a significant factor that affects employees’ emotional and job performance. The findings of this study showed that working environment highly contributed to the employees’ happiness with a min value of 3.010. Subsequent findings indicated that the quietest working environment influenced workers to produce high quality work. Although the findings showed that the respondents were satisfied with their current working environment, some respondents still expected further improvements in terms of facilities such as healthy food at the cafeteria and extended nursery services from infants to four-year-olds.
Prediction of Force Convergence and Stresses on a Gear using Coefficient of Friction from Wear test developed in Finite Element Method
Authors:   Research Scholar, Dept. of Mechanical Engineering, ANU College of Engineering & Technology, Guntur, (Andhra Pradesh), India., Vijaya M. , Srinivas K. ,   Dept. of Mechanical Engineering, R.V.R. & J.C. College of Engineering, Guntur, (Andhra Pradesh), India., Raj Ch.Deva ,   Dept. of Mechanical Engineering, R.V.R. & J.C. College of Engineering, Guntur, (Andhra Pradesh), India.
Published: November 2019

Gear is a transmission element and is used in different machinery parts and automobile gear boxes. The main objective of this paper is to conduct analysis on spur gear in dynamic conditions by taking the values of coefficient of friction from Tribological experiments conducted for hybrid composite withAl6351.And this base metal is reinforced with SiC and Graphite ranging from 2-8% of equal compositions. In this paper based on the revolute joints as boundary conditions and coefficient of friction as input for different Modulu’s of Elasticity for 2-8% of compositions, maximum force with force convergence, equivalent stresses and total deformation are estimated with respective time.
Grey Relational Analysis of EDM of Ti6Al4V using TiC/Cu Composite Tool Electrode Made with Nano and Micron Sized Particles
Authors:   Research Scholar, Department of Mechanical Engineering, Andhra University, Visakhapatnam, (A.P), India., Rao Chundru Venkata , Ramji Prof. Koona ,   Department of Mechanical Engineering,  Andhra University, Visakhapatnam, (A.P), India., Rao Dr. Pujari Srinivasa ,   Department of Mechanical Engineering, GITAM, Visakhapatnam, (A.P), India.
Published: November 2019

This paper covers the use of Taguchi based grey relational analysis in EDM process. The analysis is used to determine an optimum combination of process parameters, which involves individual and simultaneous improvement of surface roughness (SR) and the micro hardness (MH) of Ti6Al4V alloy in electric discharge machining (EDM). The tool used in the machining process is TiC/Cu powder metallurgy (P/M) electrode. Taguchi’s L18 mixed orthogonal array is used to plan experimentations which includes the machine tool and electrode parameters as the study parameters. The analysis of variance (ANOVA) for grey relational grade showed that particle size EDM electrode was the most dominant factor (64.13%) followed by peak current (7.41%) in influencing surface quality of ED Med Ti6Al4V alloy. Whereas, peak current is the most influential parameter while evaluating the individual responses of SR and MH. Finally, the optimum combination of process parameters was validated by confirmation experiments that considerably improved the multiple quality characteristics simultaneously.
DLMNN: A Deep Learning Modified Neural Network for Balancing the Load of Cloudlets on Cloud
Authors:   Research Scholar, Dept of CSE, GITAM University, Visakhapatnam, India., Sambangi Swathi , Gondi Lakshmeeswari ,   Dept of CSE, GITAM University, Visakhapatnam, India.
Published: November 2019

Cloud Computing a revolution in the computing world, has enabled the users to utilize the services on the Cloud platform from anywhere at any time. As there is an increase in the demand for the utilization of a cloud environment, there are several challenges to be addressed by the companies or organizations to provide uninterrupted cloud services. To make the cloud services available without interruption, the challenge of balancing the load on cloud servers is a must. Proper allocation of load on the servers optimize the performance of the cloud and improves the efficiency to offer uninterrupted services. Recent studies have shown, cloud always needs to have a capable algorithm to distribute the load on servers of cloud architecture to be available to process cloudlets submitted by the customers. Our paper looks for a new load balancing algorithm that uses the concepts of neural network and is used to allocate the tasks in the cloud. The proposed algorithm consists of two steps. First, Features of tasks and cloud servers are extracted, and the necessary features are selected. The feature selection can be done by using MPCA. In the second step, the selected features are sent as input to the DLMNN algorithm to schedule the task in the cloud. Finally, the experimental results of the proposed DLMNN are compared with some existing algorithms.
Lie Recognition using Eye Patterns
Authors:   Student Currently Pursuing a Bachelor’s Degree in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India., Mehta Kartik , Sharma Arjun ,   Student Currently Pursuing  B. Tech in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India., Suri Rishabh ,   Student Currently Pursuing  B.Tech in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

The recognition of lie done by a person could be identified by various facial gestures, such as the reaction of the eye blinks to different situations, and also in the case of a lie as proposed by the NLP(Neuro Linguistic Programming) theory. These patterns could be identified by using statistical tools such as SVM(Support Vector Machine), PCA(Principal Component Analysis) and LDA(Latent Dirichlet Allocation). This paper proposes lie detection technique using Python programming language based on the PCA (Principal Component Analysis) algorithm based on the eye images.
Using Global Terrorism Database (GTD) and Machine Learning Algorithms to Predict Terrorism and Threat
Authors:   Assistant Professor in SRM institute of Science and Technology and life Member of ISTE., Kalaiarasi* S. , Mehta Ankit ,   Bachelors in Science and Technology Degree in SRM., Bordia Devyash ,   Bachelors in Science and Technology Degree in SRM., Sanskar  ,   Bachelors in Science and Technology Degree in SRM.
Published: November 2019

It is evident that there has been enormous growth in terrorist attacks in recent years. The idea of online terrorism has also been growing its roots in the internet world. These types of activities have been growing along with the growth in internet technology. These types of events include social media threats such as hate speeches and comments provoking terror on social media platforms such as twitter, Facebook, etc. These activities must be prevented before it makes an impact. In this paper, we will make various classifiers that will group and predict various terrorism activities using k-NN algorithm and random forest algorithm. The purpose of this project is to use Global Terrorism Database as a dataset to detect terrorism. We will be using GTD which stands for Global Terrorism Database which is a publicly available database which contains information on terrorist event far and wide from 1970 through 2017 to train a machine learning-based intelligent system to predict any future events that could bring threat to the society.
Technological Developments in Direct Grid Connected Power Converters for Solar PV Power Plants
Authors:   Research Scholar, School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India., Kumar Devineni Gireesh , Ganesh Dr. Aman ,   Professor, School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India.
Published: November 2019

Most of the countries in the world are concentrating on renewable energy generation, due to day-day increase in population increasing the energy demand, also to make their environment sustainable. With the many of features, use of megawatts rating solar photovoltaic (PV) power plants are becoming more popular for upgrading the existing power generation throughout the world. Moreover, among the existing renewable energy generations, solar power is the primary choice to meet the rapidly increasing demands; since solar PV plant installing time is relatively quick, say about in 3- 4 months, compared to conventional (thermal, hydro & diesel) plants which may require about 3-4 years. The low voltage (270‒700V) power converters require a filter and a step-up transformer for interconnecting the local grids with solar PV power plants. The advances in power converters without transformers and filters have recently become more attractive for solar PV power plants connected directly to grid. The study of this article describes the essential requirement and the technological developments in the design of power electronics converters, together with their modulation schemes to integrate solar power directly with standard power grid. This article, review ongoing research activities and the probable directions for the future research in developing inverters for cost-efficient grid connected solar PV plants.
Biosociolink: A Decision Support System for Analyzing Link Properties in Biological and Social Networks
Authors:   Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India., Sridhar Amulyashree , GS Sharvani ,   Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India., P Ramakanth Kumar ,   Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India., Reddy AH Manjunatha ,   Department of Biotechnology, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India., Nagaraj Kalyan ,   Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
Published: November 2019

Network based data representation has received widespread attention over the years. Data is oriented in graph format by aligning information as nodes and edges. Some of the predominant network cases include biological and social sciences. There is a growing need to extract knowledge patterns from network orientations. In such scenario, the current study focuses on extracting data patterns from network data. Schizophrenia gene data and TRAI wireless performance data is identified for performing biological and social network analysis. Biological network analysis is performed to identify relevant gene ties which act as hotspots for identifying disease causing genes. On similar lines, social network analysis is performed on wireless dataset to identify essential telecom operators responsible for customer retention. Based on these outcomes, a decision support system, Bio Socio Link is designed in R programming language to perform biological and social network analysis. The support system accurately detects knowledge patterns from both the datasets. The study is concluded by deploying the support system in local programming environment.
A Novel QCA based Compact Scan Flip-flop for Digital Design Testing
Authors:   Department of Telecommunication Engineering, RV College of Engineering, Benaguluru, India., S. Harshitha , T.N. Dhanush ,   Department of Telecommunication Engineering, RV College of Engineering, Benaguluru, India., B.S. Dr. Premananda ,   Department of Telecommunication Engineering, RV College of Engineering, Benaguluru, India.
Published: November 2019

Quantum-dot Cellular Automata (QCA) is an emerging technology used for computation at nano scale. It is an excellent alternative for the conventional CMOS technology. QCA provides us with low energy, high speed, faster switching speed and compact structures for logical circuits. Testing is the integral part of the design verification, scan flip-flop is used for device testing. It is used in processors for a built-in self-test. The objective of this paper is to design an optimized structure of a scan flip-flop which occupies less area and dissipates minimum energy compared to the previously designed architectures. The efficiency of the proposed structure is analyzed in terms of cell count, energy dissipation, and area occupied by the logical circuit. Proposed scan flip flop has a cell count of 32 and an energy dissipation of 0.0105 eV which is 20 % more efficient in terms of cell count and 29 % more efficient than the previous designs. The CAD tool, QCA Designer is used for design and simulation. Cells have a dimension of 18 nm in height and 18 nm in breadth and there is a distance of 2 nm between these cells. Bi-stable and coherence vector simulation engines are used in the tool for simulation.
CFD Analysis of Turbulent Heat Transfer Characteristics in Cubical Enclosure
Authors:   Assistant Professor, Research Group, School of Mechanical and Building Sciences, Vellore Institute of Technology Chennai, (Tamil Nadu), India., Harish R.
Published: November 2019

In this paper we present the turbulent flow and convective heat transfer phenomena inside a cubical enclosure with an internal heat source. The enclosure is designed with an inlet and outlet vent and the heat source is mounted on the bottom wall. The turbulent flow is modeled by the computational fluid dynamics (CFD) approach using Lambremhorst k- ε turbulence model. A finite difference method is used to discretize the governing equations and an in- house CFD used is developed for simulating the turbulent characteristics . The parametric study is performed for the assisting and opposing flow character stics inside the enclosure by varying the Grashof (Gr) and Reynolds (Re) number in the range of 105 ≤ Gr ≤ 1010 and 102 ≤ Re ≤ 106. The present study emphasises that the inertial force and buoyancy force has significant impact on the recirculation flow p attern inside the enclosure . The heat transfer rate is drastically influenced by the assisting and opppsing flow behavior developed inside the enclosure. It is observed that the mass flow rate across the outlet vent increases linearly with the Reynolds nu mber. The flow behavior is highly chaotic with the development of instabilities inside the enclosure . The streamlines and temperature distribution patterns inside the enclosure indicated that the assisting flow enhanced the heat transfer rate by 48% while the opposing flow suppressed the heat transfer rate by 45% inside the enclosure. A multi recirculating convective cell pattern is formed at higher Grashof number and the size of the cell increases with increase in Grashof number . It is also found that the mass flow rate across the outlet vent increases linearly for assisting flow case while it decreases for the opposing flow case. It is evident from the present study that the assisting flow case is best suited for heat transfer enchancement in cubical enclosure.
Offline Signature Recognition u sing Pretrained Convolution Neural Network Model
Authors:   Research Scholar, Department of Computer Science Engineering , M. M (D.U), Mullana,Ambala, Kumari Kamlesh , Rana Dr.Sanjeev ,   Professor, Department of Computer Science Engineering , M. M (D.U), Mullana,Ambala
Published: November 2019

Offline Signature recognition plays an important role in Forensic issues. In this paper, we explore Signature Identification and Verification using features extracted from pretrained Convolution Neural Network model (Alex Net). All the experiments are performed on signatures from three dataset (SigComp2011) (Dutch, Chinese), SigWiComp2013 (Japanese) and SigWIcomp2015 (Italian). The result shows that features extracted from pretrained Deep Convolution neural network and SVM as classifier show better results than that of Decision Tree. The accuracy of more than 96% for Japanese, Italian, Dutch and Chinese Signatures is obtained with Deep Convolution neural network and SVM as classifier.
Text Document Clustering using K-Means and Dbscan by using Machine Learning
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., khan T.H.Feiroz , Alleema N.Noor ,   Information Technology, SRM Institute of Science and Technology, Chennai, India., Yadav Narendra ,   B. Tech Student, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Mishra Sameer ,   B. Tech Student, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Shahi Anshuman ,   B. Tech Student, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

With the growth of today’s world, text data is also increasing which are created by different media like social networking sites, web, and other informatics and sources e.t.c . Clustering is an important part of the data mining. Clustering is the procedure of cleave the large &similar type of text into the same group. Clustering is generally used in many applications like medical, biology, signal processing, etc. Algorithm contains traditional clustering like hierarchal clustering, density based clustering and self-organized map clustering. By using k-means features and dbscan we can able to cluster the document. dbscan a part of clustering shows to a number of standard. The data sets will automatically evaluate the formulation of each and every part data through by the use of dbscan and k-means that will shows the clustering power of the data. document consists of multiple topic. Document clustering demands the context of signifier and form ancestry. Descriptors are the expression used to describe the satisfied inside the cluster.
Emotion Detection of Human Face
Authors:   currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram, Nigam Rohan , Kumar Neeraj ,   currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram, Mondal Subhadeep ,   currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram
Published: November 2019

Facial emotion analysis is the basic idea to train the system to understand the different facial expressions of human beings. The Facial expressions are recorded by the use of camera which is attached to user device. Additionally this project will be helpful for the online marketing of the products as it can detect the facial expressions and sentiment of the person. It is the study of people sentiment, opinions and emotions. Sentiment analysis is the method by which information is taken from the facial expressions of people in regard to different situations. The main aim is to read the facial expressions of the human beings using a good resolution camera so that the machine can identify the human sentiments. Convolutional neural network is used as an existing system which is unsupervised neural network to replace that with a supervised mechanism which is called supervised neural network. It can be used in gaming sector, unlock smart phones, automated facial language translation etc.
Medical Waste Management : Technologies ANS Innovations
Authors:   Kuban State Medical University, Krasnodar, Russia., Apsaliamova* Saida Olegovna , Alekseenko Sergei Nikolaevich ,   Kuban State Medical University, Krasnodar, Russia., Khashir Bella Olegovna ,   Kuban State Technological University, Krasnodar, Russia., Khuazhev Oleg Zakireevich ,   Kuban State Technological University, Krasnodar, Russia., Drozdov Aleksandr Nikolaevich ,   Kuban State Technological University, Krasnodar, Russia.
Published: November 2019

The problem of medical waste management is an issue that concerns not only experts since the amount of waste has a stable tendency to intensive growth. The research aims to study the status of medical waste management and analyze the approaches to its classification, taking into account the specific features of its formation and possible disposal. The article defines theoretical approaches to the analysis of the "medical waste" category and identifies the main directions of research in the field of medical waste management. Based on the analysis of scientific literature and an expert survey, the authors analyze the problems associated with the disposal of medical waste and the possible approaches to their solution. The authors propose a classification of medical waste and operations performed with it in health care centers.
Multifactor Forecasting of Socioeconomic Development of Regions
Authors:   Plekhanov Russian University of Economics, Moscow, Russia., Gagarina Galina Yurievna , Ryzhakov Gleb Vladimirovich ,   Plekhanov Russian University of Economics, Moscow, Russia., Sorokina Natalia Yurievna ,   Plekhanov Russian University of Economics, Moscow, Russia., Chaynikova Liliya Nikolaevna ,   Plekhanov Russian University of Economics, Moscow, Russia., Sizova Darina Alexandrovna ,   Plekhanov Russian Plekhanov Russian University of Economics, Moscow, Russia.
Published: November 2019

The goal of the article is to develop an economic and mathematical model allowing to predict the nature of the socioeconomic development of the Russian regions, with due consideration for the most significant factors that determine its dynamics. An algorithm has been proposed for predicting the growth rate of the gross regional product, including justification of the factors that have both positive and negative impacts on this indicator, as well as the procedure for generating forecast estimates using the Wolfram Mathematica 11 kit. A forecast model of the socioeconomic development of the Lipetsk region, one of the backbone regions in Russia, has been formed. The statistical indicators of the region under study for 2004 – 2017 have been analyzed. The forecast data have been interpreted. The negative factors hindering the further development of the Lipetsk region have been highlighted. The results of the study can be used to develop a strategy, as well as state and regional programs aimed at ensuring and enhancing the sustainability of the socioeconomic development of the Lipetsk region.
Healthcare Informatics and Monitoring System based on Fog Computing
Authors:   Assistant Professor in the department of Computer Science Engineering & I.T. , Subharti Institute of Engineering & Technology, Swami Vivekanand Subharti University, Meerut, India., Kishor* Er. Amit , Jeberson Wilson ,   Professor and Head of Department of Computer Science and Information Technology department at Sam Higginbottom University of Agriculture, Technology and Sciences Allahabad, India
Published: November 2019

Wireless sensor networks and internet of things are widely used in healthcare industry. In today’s scenario wearable sensors become very popular devices to monitor patients at high risk. Patients who are suffering from long lasting sickness visits hospital at multiple time for their regular check-up. Treatment from this kind of system increases the expenditure in overall for the patients. However, with recent technological innovation such as cloud and fog computing, with minimal expense on storage and computing facilities these problems are overcome. In this paper, we provide an analysis of fog computing role over cloud computing to monitor patient’s health to provide context aware services without delay to the end user when it required to patient and medical practitioner. Three layer architecture is proposed for real time domain data storage, processing and communication. This increase the capability of cloud computing with the integration to fog computing for current and future use application.
ANN and SVM to recognize Texture features for spontaneous Detection and Rating of Diabetic Retinopathy
Authors:   Department of E&TC Engineering,MET's Institute of Engineering, Nashik. India., Jadhav* Manisha Laxman , Shaikh Dr. M. Z. ,   Principal, D.Y.Patil School of Engineering,Lohgaon, Pune, India
Published: November 2019

The higher levels of blood glucose most often causes a metabolic disorder commonly called as Diabetes, scientifically as Diabetes Mellitus. A consequence of this is a major loss of vision and in long terms may eventually cause complete blindness. It initiates with swelling on blood vessels, formation of microaneurysms at the end of narrow capillaries. Haemorrhages due to rupture of small vessels and fluid leak causes exudates. The specialist examines it to diagnose and gives proper treatment. Fundus images are the fundamental tool for proper diagnosis of patients by medical experts. In this research work the fundus images are taken for processing, the neural network and support vector machine are trained for the proposed model. The features are extracted from the diabetic retinopathy image by using texture based algorithms such as Gabor, Local binary pattern and Gray level co-occurrence matrix for rating the level of diabetic retinopathy. The performance of all methods is calculated based on accuracy, precision, Recall and f-measure.
Chronic Kidney Disease Prediction using Machine Learning Models
Authors:   Information Technology, Sathyabama Institute of Science and Technology, Chennai, India., Revathy S, , Bharathi B. ,   Information Technology, Sathyabama Institute of Science and Technology, Chennai, India., Jeyanthi P. ,   Information Technology, Sathyabama Institute of Science and Technology, Chennai, India., Ramesh M. ,   Tata Consultancy Services, Chennai, India.
Published: November 2019

The field of biosciences have advanced to a larger extent and have generated large amounts of information from Electronic Health Records. This have given rise to the acute need of knowledge generation from this enormous amount of data. Data mining methods and machine learning play a major role in this aspect of biosciences. Chronic Kidney Disease(CKD) is a condition in which the kidneys are damaged and cannot filter blood as they always do. A family history of kidney diseases or failure, high blood pressure, type 2 diabetes may lead to CKD. This is a lasting damage to the kidney and chances of getting worser by time is high. The very common complications that results due to a kidney failure are heart diseases, anemia, bone diseases, high potasium and calcium. The worst case situation leads to complete kidney failure and necessitates kidney transplant to live. An early detection of CKD can improve the quality of life to a greater extent. This calls for good prediction algorithm to predict CKD at an earlier stage . Literature shows a wide range of machine learning algorithms employed for the prediction of CKD. This paper uses data preprocessing, data transformation and various classifiers to predict CKD and also proposes best Prediction framework for CKD. The results of the framework show promising results of better prediction at an early stage of CKD.
Single Document Text Summarization of a Resource-Poor Language using an Unsupervised Technique
Authors:   Centre for Computer Science and Applications, Dibrugarh University, Dibrugarh, Assam, India., Chetia Gunadeep , Hazarika Gopal Chandra ,   Centre for Computer Science and Applications, Dibrugarh University, Dibrugarh, Assam, India.
Published: November 2019

Automatic text summarization of a resource-poor language is a challenging task. Unsupervised extractive techniques are often preferred for such languages due to scarcity of resources. Latent Semantic Analysis (LSA) is an unsupervised technique which automatically identifies semantically important sentences from a text document. Two methods based on Latent Semantic Analysis have been evaluated on two datasets of a resource-poor language using Singular Value Decomposition (SVD) on different vector-space models. The performance of the methods is evaluated using ROUGE-L scores obtained by comparing the system generated summaries with human generated model summaries. Both the methods are found to be performing better for shorter documents than longer ones.
Impacts of Dam Break at Upstream of Lo River on Red River and Thai Binh River Delta
Authors:   Key Laboratory of River and Coastal Engineering, Alley Chua Boc Street, Dong Da, Hanoi, Vietnam., Giap Nguyen Dang , Thuong Tran Quoc ,   Key Laboratory of River and Coastal Engineering, Alley Chua Boc Street, Dong Da, Hanoi, Vietnam., Cuong Le The ,   Key Laboratory of River and Coastal Engineering, Alley Chua Boc Street, Dong Da, Hanoi, Vietnam., Quyen Bui Ngoc ,   Key Laboratory of River and Coastal Engineering, Alley Chua Boc Street, Dong Da, Hanoi, Vietnam., Ngoan Chu Thi ,   Key Laboratory of River and Coastal Engineering, Alley Chua Boc Street, Dong Da, Hanoi, Vietnam., Nguyen Quang Hung ,   Thuyloi University,  Tay son, Dong Da Hanoi, Vietnam.
Published: November 2019

The Red River – Thai Binh River Delta is a large economic area, densely populated, especially Hanoi, the capital of Vietnam. This is the key area protected by the dike system that has been built for nearly 1000 years. Recently, along with the dike system, the Red River – Thai Binh River Delta is also protected by a large reservoir system at upstream. However, this raises concerns about dam safety, and requires assessments about the impact of dam break on the delta to prepare appropriate response measures. This paper applies 2D mathematical simulation model of flood propagation due to dam break at Thac Ba and Tuyen Quang reservoirs. The results clearly show the characteristics of the flood caused by dam break (such as water level, depth, velocity, lag time) in affected areas. Furthermore, overflow incident of main dikes and ring dikes at the downstream areas is also determined for both cases dam break with flood and without flood.
AN Effective PHR Based Secure Data Distribution using KC-ABE in Cloud Environment
Authors:   Research Scholar Information Science and Engineering Sir M Visvesvaraya Institute of Technology, Bangalore India., M Sangeetha , Karthik P. Vijaya ,   Professor Information Science and Engineering Sir M Visvesvaraya Institute of Technology, Bangalore India, A. Sivanesh Kumar ,   Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Chennai.
Published: November 2019

The objective of the research work is focused on cloud computing which is a developing design to give secure change among continuous applications. Secure information sharing is characterized as transmission of at least one documents profitably this procedure is utilized to share data’s, characteristics, records among different clients and associations in secure mode and verifies from outsider clients. Usually it is finished by encryption and unscrambling process over private system. This kind of information sharing is finished by new innovation of key cipher text KC-ABE. It can give secure record transmission by having confined access innovation. This developing procedure has been checked in tolerant individual wellbeing record upkeep. These documents are recorded and recovered safely without access by unapproved clients. KC-ABE encryption framework is material to produce for adaptable and secure sharing of information’s in distributed computing, which will reinforcement persistent wellbeing creating records in increasingly defensive manner. In KC-ABE strategy, the subtleties of patient are put away in KC-ABE server farm. In KC-ABE, Key backer just legitimize the entrance control and can’t issue by the encryption. Along these lines the relating tolerant just reserve the options to get to this KC-ABE innovation. It gives more secure information sharing than other encryption framework. The fundamental utilization of this technique are High key age time and encryption time. It can accomplish less encryption time and key age time to improve productivity of KC-ABE.