bluuebunny/crossref_metadata_2025 huggingface dataset:
Horizontal Correction of Scoliotic Deformity with High-Density Pedicle Screw Constructs: A Retrospective Analysis of 40 Patients
Authors: Debaud Charlotte , Debaud Charlotte , Felter Adrien , Hayek Georges , Loubresse Christian Garreau de
Published: November 2020

Purpose: To report radiologic outcomes in the horizontal plane after scoliosis correction with high-density
pedicle screw constructs through a sterEOS®-3D analysis.
Methods: We conducted a retrospective monocentric study on scoliotic patients who underwent a surgical
correction with high-density constructs. SterEOS®-3D reconstructions were modelled from pre and
postoperative EOS® acquisitions. Amplitude of surgical correction and residual deformity were analysed
for rotational parameters (vertebrae vectors coordinates, apical vertebral rotation (AVR), intervertebral
rotations, Torsion Index) and transversal offset parameters (Spread of Coronal Offsets (SCO), mean of
coronal offsets (CO), T9 and L3 to Gravity Line (GL) CO, T9/L3 Transverse Gravitational Deviation Index
(TGDI), T9/L3 TGDI θ categories).
Results: 80 sterEOS®3D reconstructions were analysed. Paired t-test comparisons between pre and
postoperative values showed a significant reduction for Cobb angles (p<0.0001) and AVR (p = 0.0024) but
not for TI (p = 0.69). 51% of the curves with a preoperative AVR > 10° were corrected at a segmental level
with an average de-rotation amplitude of 19.3° +/- 8° and 56% at a global level with an average de-torsion
index of 54% +/- 30%. Correction of SCO was effective for 95% of patients with a mean amplitude of
30mm +/- 10mm and was associated with a significant reduction in T9 and L3 to GL CO (34mm ± 24mm
and 7.6mm +/-10mm respectively).
Conclusion: Horizontal corrections achieved with high-density constructs in scoliosis surgery are more
significant on translation than rotation at a segmental and global level.
Les repas des Marocains
Authors: Tibère Laurence , Poulain Jean-Pierre , Bricas Nicolas , Boumeggouti Driss , Fischler Claude
Published: November 2020

Abstract:This article provides an overview of Moroccan people’s eating habits, in a context of urbanisation and, more broadly, of ongoing changes in lifestyles and social aspirations. The analysis is mainly based on data from a quantitative survey conducted between 2012 and 2013. It focuses on the differences and commonalities between the meals of Casablanca residents and those of the inhabitants of rural areas in the Souss region. The article points out the existence of differentiated situations between the two contexts, particularly with regard to the number of meals or food sociability. It also shows the importance of certain habits, both in the city and in rural villages, such as the social valuation of certain dishes or products, or the importance of commensality.

Résumé :Cet article propose un panorama des habitudes des Marocains relatives aux repas, dans un contexte d’urbanisation et, plus largement, de mutations en cours dans les modes de vie et les aspirations sociales. L’analyse se fonde principalement sur les données d’une enquête quantitative menée entre 2012 et 2013. Elle porte sur les différences et les points de convergence entre les repas des Casablancais et ceux des habitants de communes rurales du Souss. L’article pointe l’existence de situations différenciées entre les deux contextes, s’agissant en particulier du nombre des repas ou encore des sociabilités alimentaires. Il montre aussi la prégnance, en ville comme dans les villages ruraux, de certaines habitudes, telle que la valorisation de certains plats ou produits, ou l’importance de la commensalité.
Women's Risk Tolerance in Indonesia
Authors: Nosita Firda
Published: November 2020

The Financial Services Authority (OJK) survey on 2016 shows that the financial literacy index in Indonesia is 21.8% approximately. There are a lot of illegal investment in the Indonesian society in recent years is proof that the Indonesian people have not been well-literated and have not fully understood the benefits and risks of investment. Efforts to improve financial literacy are aimed at certain groups of people such as women and housewives. Risk factors are important in financial decisions. Previous research has concluded that women often avoid risk and are more intolerant of risk than men. This study aims to determine whether risk tolerance in women is different from men. Data collection techniques were carried out using questionnaires distributed online to 850 samples of Indonesian people representing three regions of Indonesia, namely the western, central and eastern regions of Indonesia. The results showed that there were no significant differences between women and men in terms of risk tolerance, these results indicate that both women and men have identical viewpoint of risk. The government could conduct education and increase public knowledge without differentiating financial products for women and men.
Volatility Spillover Effects In Asean-5 Stock Market: Does The Different Oil Price Era Change The Pattern?
Authors: Darinda Dwika , Permana Fikri C
Published: November 2020

The aim of this study is to identify the pattern of volatility transmission in ASEAN-5 (Indonesia, Malaysia, Thailand, Singapore and the Philippines) stock market by examine Global Macro Shocks (proxyed by Brent oil price); Cross-Market Linkages (proxied by Dow Jones Index); and Economic Fundamental (proxied by exchange rate) as the sources of volatility. This paper utilizing VAR and asymmetric GARCH (1,1)-BEKKÂ  model using the daily data between 4 January 2012 and 30 June 2017. The result shows that all independent variables have a significant volatility transmission to every ASEAN-5 stock market. Then in order to capture the different volatility transmission pattern, we divided the data into two periods which are â€œhigh-oil priceâ€ era and â€œlow-oil priceâ€ era. Besides the different rate of volatility, we also find a different pattern of volatility transmission at Malaysia stock market (KLCI); Thailand stock market (SETI); and at Philippines stock market (PSEI) between these two eras.
Pengaruh Pengalaman Diperiksa terhadap Kepatuhan Pajak Perusahaan Besar
Authors: Muzakkir Achmad Rivai , Mahi Benedictus Raksaka
Published: November 2020

This paper examines the relationship between the amount of past audit experience and firmâ€™s income tax compliance. Focusing upon taxpayers in Large Taxpayer Tax Office, Oil and Gas Tax Office, and Listed Company Tax Office. A Heckman two step estimation is used to estimate the audit selection rule the firmâ€™s compliance choice. The first step estimation results indicate that there is a systematic rule as a guidance in the selection process. The second stage results show that firms with more past audit experience, have a lower profit, and a lower average tax rate have a higher compliance ratio.Key words : compliance; tax compliance; tax audit; income tax; audit selectionJEL Classification : H26.D22
Studi Kepuasan dan Loyalitas Nasabah melalui Kualitas Layanan dan Citra Bank Sumsel Babel
Authors: Pradana M. Bastian V. , Wahab Zakaria , Widad Achmad , Gunarto Muji
Published: November 2020

Menghadapi era globalisasi sekarang ini, perbankan tidak hanya terpaku pada masalah kuantitas, tapi sudah berkembang pada soal kualitas, baik mengenai produk perbankan yang ditawarkan, pelayanan yang diberikan, kepercayaan, maupun citra baik dari bank, yang akhirnya berpengaruh pada loyalitas nasabah. Tujuan penelitian ini adalah untuk menguji pengaruh kualitas pelayanan dan citra Bank Sumsel Babel terhadap kepuasan nasabah dan implikasinya terhadap loyalitas nasabah. Pengambilan sampel dilakukan secara aksidental sampling sebanyak 150 orang responden. Teknik analisis data dilakukan dengan pendekatan model persamaan struktural (SEM) dengan aplikasi program LISREL. Hasil penelitian menunjukkan bahwa kualitas pelayanan dan citra Bank Sumsel tidak berpengaruh langsung terhadap loyalitas nasabah akan tetapi berpengaruh langsung terhadap kepuasan nasabah. Kepuasan nasabah berpengaruh positif dan signifikan terhadap loyalitas nasabah, artinya bahwa kepuasan nasabah menjadi variabel antara yang baik bagi hubungan kualitas pelayanan dan citra Bank Sumsel Babel terhadap loyalitas nasabah. Hal ini menunjukkan bahwa loyalitas nasabah perbankan tercipta jika terbentuk kepuasan nasabah, sedangkan kepuasan nasabah dapat dibangun dari kualitas layanan dan citra perusahaan. Melalui layanan yang baik nasabah akan mendapatkan kepuasan dan citra yang baik akan meningkatkan rasa bangga bagi nasabah dan pada akhirnya akan meningkatkan kepuasan nasabah. Tanpa kepuasan nasabah, maka loyalitas nasabah tidak akan tercipta, untuk itu perbankan hendaknya fokus bagaimana membangun kepuasan nasabah dengan meningkatkan kualitas pelayanan dan mampu membangun citra perusahaan yang lebih baik.

Kata kunci: kualitas pelayanan, citra bank, kepuasan nasabah, loyalitas nasabah
Pengembangan Kinerja Organisasi: Menggali Minat Untuk Menjadi Anggota Koperasi Mahasiswa Di Universitas Udayana Bali
Authors: Suasana I Gusti Agung Ketut Gede , Suarjaya Anak Agung Gede , Dana I Made
Published: November 2020

Koperasi mahasiswa (Kopma) adalah jenis koperasi di Indonesia yang beranggotakan mahasiswa. Data empiris menunjukkan bahwa partisipasi mahasiswa untuk menjadi anggota Kopma masih tergolong sangat rendah. Penelitian ini bertujuan menjelaskan; pengaruh manfaat ekonomi terhadap minat berkoperasi mahasiswa, pengaruh manfaat non-ekonomi terhadap minat berkoperasi mahasiswa, pengaruh persepsi terhadap minat berkoperasi mahasiswa, peran persepsi memediasi pengaruh manfaat ekonomi, dan manfaat non-ekonomi terhadap minat berkoperasi mahasiswa. Penelitian dilakukan terhadap mahasiswa Fakultas Ekonomi dan Bisnis Universitas Udayana, dengan ukuran sampel 175 orang, dianalisis dengan Analisis Jalur (Part Analysis). Penelitian menemukan bahwa manfaat ekonomi signifikan menentukan persepsi dan minat berkoperasi. Manfaat non-ekonomi signifikan terhadap persepsi dan minat berkoperasi. Hasil lain ditemukan bahwa persepsi juga menentukan minat berkoperasi., dan persepsi berperan signifikan mediasi secara parsial pengaruh manfaat ekonomi, dan non-ekonomi terhadap minat berkoperasi. Hasil tersebut mengindikasikan bahwa ekspektasi mahasiswa terhadap manfaat ekonomi, dan non ekonomi pada Kopma cukup besar. Variabel-variabel tersebut dapat dihandalkan untuk membangun persepsi positif dan menarik minat mahasiswa menjadi anggota Kopma. Implikasinya adalah, Kopma harus bisa mengembangkan inovasi yang dapat dipersepsikan positif sesuai dengan ekspektasi mahasiswa. Hal tersebut dapat mendorong kinerja Kopma melalui peningkatan jumlah partisipasi untuk menjadi anggota.

Kata Kunci: manfaat ekonomi, manfaat non-ekonomi, persepsi pada koperasi, minat berkoperasi.
Strategi Pengendalian Dampak Sosial dan Ekonomi Pembangunan Pusat Perbelanjaan Modern: Studi Kasus di Kawasan Blok M Jakarta
Authors: Maulana Noveri , Hutagalung Joshua Michael P.
Published: November 2020

Pusat perbelanjaan modern bukan saja menjadi tempat untuk menjual produk kebutuhan masyarakat, namun juga menjadi sebuah tempat yang memenuhi kebutuhan lainnya dalam kelompok sekunder dan tersier. Studi ini menelaah dampak sosial dan ekonomi salah satu pusat perbelanjaan di kawasan Blok M Jakarta terhadap masyarakat yang berada di kawasan Kebayoran Baru, Jakarta Selatan. Studi kualitatif ini menggunakan survey, observasi, dan in-depth interview untuk memperoleh data. Seluruh data dianalisis dengan pendekatan content & context analysis, kemudian diformulasi ke dalam TOWS Matriks. Hasil analisis memberikan 4 (empat) strategi sebagai rekomendasi bagi manajemen untuk mengelola dampak sosial dan ekonomi keberadaan pusat perbelanjaan di tengah masyarakat. Pertama, optimalisasi hubungan dengan tokoh masyarakat dan aparat pemerintahan. Kedua ialah penanganan ruang publik dan fasilitas umum yang lebih serius dari manajemen pusat perbelanjaan. Ketiga, pembinaan masyarakat terkait kewirausahaan, UMKM, dan aktivitas di pasar tradisional juga perlu melibatkan manajemen salah satunya melalui kegiatan CSR secara berkala. Dan terakhir ialah terkait sosialisasi dan komunikasi aktif terhadap masyarakat juga perlu ditingkatkan, tidak hanya untuk aktivitas promosi tetapi juga mencakup kegiatan edukasi. Studi ini bisa memberikan kerangka analisis bagi penelitian sejenis di kemudian hari.

Kata Kunci: SWOT, TOWS Matriks, AMDAL, Strategi CSR, Dampak Sosial Ekonomi, Pusat Perbelanjaan
Peran Kualitas Pelayanan Memoderasi Pengaruh Strategi Komunikasi Pemasaran Terhadap Kepercayaan Merek
Authors: Mawarti Ros Indah , Riwayati Hedwigis Esti
Published: November 2020

Strategi komunikasi pemasaran dikatakan sukses apabila keseluruhan program mencerminkan kreativitas yang memberikan kepercayaan kepada konsumen terhadap merek. Kepercayaan konsumen akan timbul karena ada keyakinan bahwa pihak yang terlibat dalam pertukaran akan memberikan kualitas yang konsisten, jujur, dan bertanggung jawab. Penelitian ini dilakukan di BPJS Ketenagakerjaan Cabang Cikarang dengan tujuan untuk menganalisis sejauh mana kualitas pelayanan dalam memoderasi atau memperkuat kepercayaan terhadap merek BPJS Ketenagakerjaan saat strategi komunikasi pemasaran disampaikan kepada peserta. Metode yang digunakan pada penelitian ini adalah metode kuantitatif dengan jumlah sampel sebanyak 101 responden. Analisis data dilakukan dengan menggunakan Structural Equation Modeling aplikasi software AMOS. Hasil penelitian menunjukkan bahwa variabel strategi komunikasi pemasaran berpengaruh signifikan terhadap kepercayaan merek. Kualitas pelayanan mampu memoderasi interaksi antara strategi komunikasi pemasaran terhadap kepercayaan merek di BPJS Ketenagakerjaan khususnya Cabang Cikarang.

Kata Kunci: Strategi komunikasi Pemasaran, kualitas pelayanan, kepercayaan merek, BPJS Ketenagakerjaan.
Pengaruh Kepuasan Kerja dan Komitmen Organisasi terhadap Kinerja Karyawan Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan Cabang Ambon
Authors: Rehatta Pieter N. R. , Tutupoho Saleh
Published: November 2020

"The Effect of Job Satisfaction and Organizational Commitment on Employee Performance of the Ambon Branch of BPJS on health institutions".The purpose of this study was to determine the effect of job satisfaction and organizational commitment on the Ambon branch of BPJS on health institutions. The population in this study were employees of the Ambon branch of BPJS on health institutions. The sample in this study were 32 employees. Data collection was carried out using a questionnaire. The data analysis method used was SPSS version 16. The results of multiple regression analysis are Y = 0.280 X1 + 0.392X2. The independent variable that most influences the dependent variable is the organizational commitment variable (0.392), and the last is the job satisfaction variable (0.280). The results of the t test show that all the independent variables (job satisfaction and organizational commitment) have a significant positive effect on the dependent variable (employee performance) where all the independent variables obtain a t value greater than the t table with a sig level of less than 0.05. And the coefficient of determination (R Square) obtained is 0.323, this means that 32.3% of employee performance can be explained by job satisfaction and organizational commitment variables, while the remaining 67.7% is influenced by other variables not examined in this study.The implication of the above conclusions is that in an effort to improve employee performance, the Ambon branch of BPJS on health institutions should increase job satisfaction for employees, namely the leadership must provide more support for employees and must mutually cooperate between employees so that their sense of job satisfaction increases and increases commitment to oneself and at the company.

Keywords : job satisfaction, organizational commitment, employee performance
Pengaruh Pelatihan, Motivasi dan Lingkungan Kerja terhadap Kinerja Karyawan pada PT. Sumber Rukun Mandiri Mojokerto
Authors: Huda Khasbulloh , Sholeh Rachmad
Published: November 2020

Penelitian ini bertujuan untuk mengetahui Pengaruh Pelatihan Keja (X1), Motivasi Keja (X2), dan Lingkungan Kerja (X3) terhadap Kinerja Karyawan (Y). Serta untuk mengetahui variabel mana yang mempunyai pengaruh paling besar terhadap kinerja karyawanPT. Sumber Rukun Mandiri.Dari hasil analisa regresi didapat hasil variabel X yaitu Pelatihan Kerja, Motivasi Kerja dan Lingkungan Kerja mempunyai pengaruh terhadap kinerja karyawan secara simultan deangan nilaiF hitungsebesar208,097>dari F tabel2,04 yang berarti mempunyai pengaruh terhadap kinerja karyawan sebesar 0,897 atau 89,7%. Sertavariabel Pelatihan Keja (X1) secara parsial mempunyai pengaruh terhadap kinerja karyawan sebesar 0,431 atau 43,1% dengan tingkat signifikan sebesar 0,000. Variabel Motivasi Keja (X2) secara parsial juga mempunyai pengaruh terhadap kinerja karyawan sebesar 0,410 atau 41%. Variabel LingkunganKerja (X3) secara parsial mempunyai pengaruh terhadap kinerja karyawan sebesar 0,162 atau 16,2%. Dan variabel pelatihan kerja merupakan variabel yang paling dominan pengaruhnya terhadap kinerja karyawan yang mempunyai niali pengaruh paling besar diantara variabel yang lain.

Kata kunci : Pelatihan Kerja, Motivasi Kerja, Lingkungan Kerja, dan Kinerja
Pengaruh Intellectual Capital, Rate of Growth of Intellectual Capital dan Pengungkapannya terhadap Kinerja Keuangan Perusahaan
Authors: Putri Chatarina Setyani Aswojo , Nurfauziah Nurfauziah
Published: November 2020

Penelitian ini bertujuan untuk menguji pengaruh intellectual capital, rate of growth of intellectual capital (ROGIC) dan pengungkapannya terhadap kinerja keuangan perusahaan yang diproksikan dengan return on asset (ROA). Metode yang digunakan untuk mengukur intellectual capital yaitu value added intellectual coefficient (VAIC™). Penelitian ini juga menguji pengaruh dari ketiga komponen intellectual capital (VAIC) yaitu physical capital (value added capital employed – VACA), human capital (value added human capital – VAHU) dan structural capital (value added structural capital – STVA) terhadap kinerja keuangan perusahaan. Penentuan sampel dilakukan menggunakan metode purposive sampling dan diperoleh sampel sebanyak 250 perusahaan jasa yang terdaftar di Bursa Efek Indonesia periode 2013-2017. Teknik analisis data dalam penelitian ini menggunakan analisis regresi berganda dan uji t. Hasil penelitian menunjukkan bahwa intellectual capital (VAIC), VACA dan VAHU berpengaruh positif dan signifikan terhadap kinerja keuangan perusahaan. Sedangkan STVA berpengaruh negatif dan signifikan terhadap kinerja keuangan perusahaan. Serta ROGIC dan ICD tidak berpengaruh terhadap kinerja keuangan perusahaan.

Kata Kunci : Intellectual Capital (VAIC), Return on Asset (ROA).
Analisis Pengaruh CAR, NPL, NIM dan LDR terhadap Return on Asset (Studi Pada Bank Umum Konvensional yang Terdaftar di BEI)
Authors: Wenno Meiske , Laili Anna Siyatul
Published: November 2020

Tujuan penulisan artikel ini adalah mengetahui pengaruh Capital Adequacy Ratio, Non Performing Loan, Net Interest Margin dan Loan to Deposit Ratio terhadap Return On Assets Bank Umum Konvensional yang tercatat di BEI. Populasi yang digunakan adalah Bank Umum Konvensional yang tercatat di BEI. Setelah melakukan tahap purposive sampling, maka sampel yang digunakan sebanyak 12 bank. Analisis data yang digunakan untuk menguji hipotesis adalah dengan menggunakan teknik analisis regresi berganda. Hasil temuan penelitian ini bahwa Capital Adequacy Ratio (CAR) tidak memberikan pengaruh signifikan terhadap ROA, Non Performing Loan(NPL) berpengaruh negatif dan signifikan terhadap ROA, Net Interest Margin (NIM) berpengaruh positif dan signifikan terhadap ROA dan Loan to Deposit Ratio (LDR) memberikan pengaruh tetapi tidak signifikan terhadap ROA. Implikasi manajerial dari penelitian ini adalah mendorong pihak manajemen bank untuk menetapkan strategi guna memaksimalkan profitabilitasnya dengan mempertimbangkan rasio kecukupan modal, risiko kredit dan risiko likuiditas.

Keywords: CAR, NPL, NIM, LDR, ROA.
Pengaruh Citra supermarket terhadap Loyalitas Pelanggan Melalui Kepuasan Pelanggan (Studi pada HERO supermarket Yogyakarta)
Authors: L.T. Nerys Lourensius L.T , Wijaya Tony
Published: November 2020

Penelitian ini bertujuan untuk mengetahui pengaruh secara langsung citra HERO supermarket terhadap loyalitas pelanggan, mengetahui pengaruh secara tidak langsung citra HERO supermarket terhadap loyalitas pelanggan melalui kepuasan pelanggan dan mengetahui pengaruh kepuasan pelanggan HERO supermarket terhadap loyalitas pelanggan. Sampel dalam penelitian ini adalah responden yang mengunjungi HERO supermarket Yogyakarta. Sampel ditentukan secara purposive dengan kriteria melakukan pembelian minimal satu kali dalam sebulan di HERO supermarket. Analisis data menggunakan analisis jalur. Hasil penelitian menunjukkan bahwa citra supermarket berpengaruh positif secara langsung terhadap loyalitas pelanggan pada HERO supermarket Yogyakarta. Citra supermarket tidak berpengaruh secara tidak langsung terhadap loyalitas pelanggan HERO supermarket Yogyakarta melalui kepuasan pelanggan sebagai variabel intervening dan kepuasan pelanggan berpengaruh positif secara langsung terhadap loyalitas pelanggan HERO supermarket Yogyakarta.

Kata Kunci: Citra, Loyalitas Pelanggan, Kepuasan Pelanggan
EVALUASI PROGRAM INDONESIA PINTAR (PIP) TELAAH TENTANG AKSESIBILITAS, PENCEGAHAN DAN PENANGGULANGAN ANAK PUTUS SEKOLAH DI WILAYAH URBAN FRINGE HARJAMUKTI, CIREBON
Authors: Uriyalita Fitroh , Syahrodi Jamali , Sumanta
Published: November 2020

Meskipun termasuk salah satu kawasan yang tergabung dalam mega proyek Metropolitan Cirebon Raya (MCR), Kecamatan Harjamukti tetap memiliki pekerjaan rumah untuk mengentaskan angka putus sekolah yang tinggi, terutama di wilayah pinggiran kota (urban fringe) bersama permasalahan multidimensi yang menyertai di dalamnya. Mulai dari rendahnya kesadaran akan arti pentingnya pendidikan, ekonomi, doktrin pemimpin kharitsmatik, sampai dengan kasus perundungan antarsiswa yang ditemukan di sana. Penelitian yang menggunakan metode penelitian kualitatif sekaligus juga model evaluasi bebas tujuan (goal free evaluation) ini menggambarkan hasil evaluasi program serta menganalisis dampaknya secara integratif. Terutama untuk mengkaji tentang bagaimana Program Indonesia Pintar (PIP) yang dikelola di wilayah urban fringe Kecamatan Harjamukti ini mampu memperluas akses pendidikan yang layak, mencegah anak putus sekolah dan mengakomodir kebutuhan bagi anak-anak yang terlanjur sudah putus sekolah. Sehingga keterlibatan pemerintah, swasta dan masyarakat terutama dalam menjalankan aktivitas berdaya melalui empat pusat kegiatan belajar mengajar (PKBM) di Kecamatan Harjamukti.
Perceptual Image Super Resolution Using Deep Learning and Super Resolution Convolution Neural Networks (SRCNN)
Authors: P Nagaraj , K Muthamilsudar , S Naga Nehanth , R Mohammed Shahid , V Sujith Kumar
Published: November 2020

The main objective of Perceptual Image Super Resolution is to obtain a high resoluted image from a normal low resolution image. The task is very simple that we just want to make a Low firmness appearance into a extraordinary resolution image. To perform this task we have various methods like Classical Approach in which we try to maximize the mean squared error, evaluate by PSNR(Peak-Signal-to-Noise-Ratio). The first method used to perform this operation was SRCNN (Super Resolution Convolution Neural Network) and these days many of them use DRCN and VDSR which are slightly upgraded methods. Another technique used for the purpose of upscaling to get a high resoluted image from normal little resolution image is the state of art by PSNR. This method was a quite simple one in which we take a low determination image as input and place in a convolution neural network(CNN) and produce a high resolution image as the output. In this technique the edges will be clearly defined, but the whole image will be blurred. This method is unable to produce good-looking textures.
Secured ICA Technique on Bimodal Biometric Images Using Private Watermarking with DCT
Authors: N Umasankari , B Muthukumar
Published: November 2020

With the discovery of paperless expensive means of internet access, network communication via social media is on the rise, which often comprises threats and distortions. Un authenticates identification may sometimes lead to ambiguities in end-user identification and misunderstandings. Therefore, proper identification of a person is a must in network communication. Image private watermarking[7][9][19] is one solution when the owner of the digital images are identified properly by embedding additional information such as a private watermark in the digital images like fingerprint and retina imperceptibly concealed inside another image. On the other hand, communication also leads to a serious surge in decompress technique on the images. This work introduces three techniques: digital watermarking, steganography, ICA[4][5][6][20][22]. Using a private watermark using the visible [9][7] and non-blind[9][19][7] technique on the photo image. Then two original fingerprints and retina images to achieve stego analysis technique to convert as a stego image. Then the stego image concealed by a watermarked photo image. Then mixing the two techniques to achieve the ICA[20][22][4][5][6] (Independent Component Analysis) for protecting data transmission. To providing compression using the IDCT (Inverse Discrete Cosine Transform) technique with the key using AES[10][9][19] (Advanced Encryption Standard) 64-bit algorithm. Implementation and to determine the utilize the JAVA platform.
Comparative Topological Study of Embedded Based Switched Boost Inverter
Authors: Divya T. , Ramaprabha R.
Published: November 2020

Extensive study over Z-source inverter (ZSI) has been pursued for years to compensate the drawbacks of the conventional converters. Single stage (one-step) conversion with buck-boost characteristics was the primary features for its wide usage. But presence of passive elements may prove to be a disadvantage as the size of the converter increases along with its ratings. Modifications on such converters leading to different topologies have been discussed briefly in this paper. The comparative study based on reduced passive elements and better gain is done to obtain an optimal converter structure.
Implementation of Wireless Sensor Networks to Prevent Deforestation Using Node MCU
Authors: N Sivasankari , S C Mounika , K PriyaDharshini
Published: November 2020

The illegal movement of valuable trees such as sandal wood trees in forests poses a severe risk to natural reserves and it instigates a great loss to our country’s wealth. Almost 24,000 square miles has been lost due to deforestation in the past decade. This paper proposes an antipoaching system using NodeMCU based wireless system that uses 3- axis MEMS accelerometer (GY-61) and tilt sensor for detecting the falling of trees due to cutting of trees or natural calamities and Flame sensor, fire retardant for detecting and controlling the fire. In this project we use NodeMCU which has an inbuilt Wi-Fi module which covers a distance of around 300m range, is used in this project for cost efficiency and also NodeMCU enables the communication with neighbor nodes like client and server nodes. This protocol is used to monitor the trees even using a single node from the server system. The solenoid valve is used to spray the fire retardant to control the fire. Some IOT modules can also be used in this system to provide accurate information and remote monitoring of trees.
Study and Analysis of Medical Data Mining Techniques in Healthcare for Heart Disease Using Hybrid Approach
Authors: Eknath Khodke harish , S K Yadav , D N Kyatanavar
Published: November 2020

Information mining frameworks are exhaustively used in coronary affliction for affirmation and figure. As heart condition is that the essential clarification for death for individuals, recognizing confirmation . The work proposed is inductive type and needs deep analysis of the data to ensure the right predictions on the data sets provided. A sample dataset of patients for heart disease will be collected from repository. It involves the steps and procedure. The proposed research work can be carried out step by step to conclude it with the accurate results.
Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm
Authors: K P Sampoornam , S Hemavikasini , S Vidhya , V Vakula , S Dharani
Published: November 2020

Wireless Sensor Networks (WSNs) are widely adopted by various civilian/military applications for implementing real-time monitoring or long-term surveillance task. Considering sensor nodes with mobility has emerged as a major application in environmental monitoring or surveillance. Due to the limited battery lifetime, the network in the deployed region is divided into clusters and the clusters are controlled by their Cluster Heads (CH). But selecting CH in WSNs (considering the network with both static and mobility nodes) is a challenging task because security is significant. To prevent the malicious sensor node from becoming CH, Secure Mobility Cluster Based Algorithm (SMCBA) is proposed. This algorithm considers only static node among mobility node for selecting CH with efficient parameters such as trust criteria, selection time and mobility. The simulation results show that the proposed algorithm works effectively compared with the existing clustering algorithms.
A Powerful Techniques and Applications of Web Mining
Authors: Pawar Anil B. , Jawale Madhuri A. , Kale Chaitanya P.
Published: November 2020

The purpose of this paper is to provide a more current evaluation and update of web mining research and techniques available. In the today’s view of web mining is to extract useful information from various websites and organizations websites. This paper will elaborate various tools and techniques of web mining that can be used now a day for web mining. The Data mining techniques can be used by system to extract the required knowledge. Now a days web mining is useful in Social media applications, Electronic commerce websites, various web transaction, etc. and it’s not only extracting data but also discover the knowledge about any topic required by web user. The proposed paper is focusing on various tools, techniques and applications of web mining.
Analysis of Photovoltaic Power Generation for Electric Vehicle Application
Authors: G Merlin Suba , M Kumaresan
Published: November 2020

This paper presents a hybrid solar-energy supply with battery storage for electric vehicle applications. This converter is designed to improve the topologies of the Cuk-Boost converter in parallel power transfer mode to achieve higher performance. Extract maximum energy from the hybrid PV source simultaneously. Hybrid source fed Cuk-Boost converter performance is analyzed in this paper using MATLAB/SIMULINK. To achieve maximum output voltage, while using proposed scheme compared to existing converters topologies.
A Survey on Traffic Prediction and Classification in SDN
Authors: Gunavathie  , UmaMaheswariS
Published: November 2020

The network traffic has been grown tremendously in the past decade due to the advances in the current technology. The modern computer network has evolved to manage the challenges and difficulties that have been put forth by the present network scenario. Software defined networking (SDN) has emerged to address the problems in the current network structures. SDN decouples the data plane and control plane in the traditional network and aids network programmability in a real network. It paves the way for the intelligence in the network by having a global view of the network in the centralized controller. This intelligence facilitates traffic prediction and classification that can assist activities like traffic analysis, dynamic updating of flow rules, intelligence routing, flow scheduling and security. In this paper, we discussed the existing traffic prediction and traffic classification methods in the SDN.
Smart Electric Meter Notification System Using Iot
Authors: M Vaishnavi , K valarmathi
Published: November 2020

Electricity is the basic needs of our life and one cannot think of a world without electricity. In the existing meter reading technology, the meter reading process is done by the help of labor force. But this methodology is subjected to many disadvantages like errors throughout calculation, absence of consumer throughout billing time and additional expenses for the billing method. Existing work aims to reduce the labor force for the billing. An energy measurement through wireless smart meter using IoT is proposed for automatic meter data collection, gives announcement through messages displayed on LCD and energy auditing. To overcome this problem IoT based smart electric meter is developed as proposed project.
Bulk SMS Communication Portal
Authors: G Nishanthi , S Vimala
Published: November 2020

Sending SMS to large amount of people in an organization is a tedious process and it requires more human effort tocomplete the task. The best solution in this aspect could be developing a portal which facilitate sending bulk SMS to multiple users. But the problem here is the portal should be more user-friendly. Otherwise, the portal also requires more human effort in entering data like mobile number for large amount of people. This project provide a solution for organization to send bulk SMS and with various features like log generation, notification of failure ofSMS and/or delivery, scheduling of SMS,alert/notification system,read and unread status, provision of importing contact details from excel worksheets, customizing with name of the receiver and so on. The application can be easily used and maintained by an administrator in the organization in a more effective manner.
An Emergency Intelligent Rescue System for Public in Sustainable Cities
Authors: R Manish , B Niteesh , T S Rahulraju , Vamsi Mohan , S Malathi
Published: November 2020

In this modern industrialized world, Sustainable Cities have developed several rescue systems with latest technological provinces like camera, IoT’s etc. Though the systems are quite advanced, it becomes difficult to rescue the public during emergency situation, particularly cardiac patients who need immediate medical attention. Especially when the ambulance carrying the patient gets stuck in traffic congestion leading to delayed medical care, it results in instant fatality. To overcome this issue and save the critical patients, an Intelligent Rescue System (IRS) has been developed to assist the people during emergency situation. The system uses an Automatic External Defibrillator (AED) apparatus that uses an electric current to safeguard the person within the short time frame until the ambulance reaches to the destination. Moreover, this system observes the condition of the patient constantly with the help of embedded medical sensors and also works efficiently to track and locate the exact tragic accident sites through GSM.
A Novel Adaboost Regression Classifier for Video Retrieval in Video Sequence
Authors: Satheesh Kumar B. , Seetharaman K. , Sathiyaprasad B.
Published: November 2020

This paper presents a new method for video retrieval, based on machine learning with regression. The proposed classification technique integrates Adaboost and regression classifier for significant retrieval of video frame. The proposed method consists of three stages such as key frames segmentation and gradient of pixels. In this technique, Adaboost classifier is involved in removal of noisy or blurred pixel of the segmented frame. Regression technique converts the video frame pixel either 0’s or 1’s which eliminates the noises in the frame. For the query video, the adopted classifier evaluates the machine learning system for retrieval of similar frames in the databases using proposed Adaboost Regression (ABR) classifier. Experimental analysis is conducted for video datasets to evaluate the proposed ABR classifier performance evaluation. Results stated that through proposed ABR approach incorporated in machine learning system effectively retrieve video frame for query frame. The proposed ABR classifier technique significantly improves the retrieval rate in terms of accuracy, precision.
An Efficient Way to Recognize a Person in Surveillance Video
Authors: V Sowmiya , S Malathi
Published: November 2020

This paper is presented for tracking a person in the visual surveillance system and to detect the pose of that particular person presented in that video. This concept is fully based on monitoring elderly people, patients, and people with disabilities. In the present day monitoring them for the whole day has been difficult and high-end surveillance is also difficult. So automatic pose detection makes these tasks easier. The algorithm presented here not only recognize human pose like running, walking but also includes abnormal pose detection like fall detection for elderly people, people with chronic disease are suffering from strokes and often fell down , the algorithm can also detect the various pose of a human. Although the technique to find human pose are existing but detecting human pose in surveillance system are difficult due to its movement presented in the video. In particular, we demonstrated by separating the motion pixel by (MPEM) pixel expectation maximization. (MPEM) is the process of separating the movement pixel. Finally KL transform is applied to track the action and pose of a human. The kinetic sensor SDK used to recognize the human body with high accuracy and more efficiency. Human body and face authentication modality are performed using various methods such as artificial neural network (ANN). Several experiments are performed to validate the effectiveness are performed to validate the effectiveness of the proposed system tracking approach, the result of which seems quite promising.
Mechanical Characterization of Aluminium-Titania Metal Matrix Composites
Authors: K R Padmavathi , R Ramakrishnan , L Karthikeyan , S ChezhianBabu
Published: November 2020

Researchers investigated the mechanical properties of Aluminium Metal Matrix Composites (AMMC) with several reinforcements and negligible work has been administered on analysing the mechanical characteristics of AMMC with rutile nanotitania reinforcement material. Metal matrix composite with Aluminium 6061 metallic element as matrix material and nanotitania as reinforcement with 0.5, 1.0, 1.5 and 2.0 weight percentages was fabricated through stir casting method followed by die casting and heat treatment. Consequent exploration on mechanical characteristics viz. micro hardness, tensile, compressive and impact strength were carried out. The fabricated samples were examined using scanning electron microscopy and analysed. The outcomes exhibited enhanced mechanical characteristics for 1.0 weight percentage nanotitania reinforced aluminium6061 metal matrix composite material.
Study on Generalized Directional Differentiability Problems of Fuzzy Mappings
Authors: Bao Yu-e , Li Tingting , Zhang Linfen
Published: November 2020

This paper discusses the gH-directional differentiability of fuzzy mappings, and proposes the concept of gH-directional differentiability of fuzzy mappings. Based on the concept of gH-directional differentiability of interval-valued mappings and its related properties, two properties of gH-directional differentiability fuzzy mappings are proposed. At the same time, the relation between gH-differentiability and gH-directional differentiability for a fuzzy mapping is discussed, and it is proved that both gH-derivative and gH-partial derivative are directional derivatives of fuzzy mappings in the direction of the coordinate axis.
Application of Grey Prediction in a GA-BP Power Theft Algorithm
Authors: Chen Xiaofeng , Xu Zhongping , Zhang Lipeng , Zhu Feng , Qi Xiaoming , Chen Fangzhen
Published: November 2020

Statistics show that power theft is one of the main reasons for the dramatic increase in power grid line loss. In this paper, a genetic algorithm is used to optimize a neural network and establish a power theft prediction model. With the grey prediction model, the predicted values of variables are obtained and then applied to the prediction model of a GA-BP neural network to obtain relatively accurate predictions from limited samples, reducing the absolute error. Through the two levels of prediction and analysis, the model is demonstrated to have good universality in predicting power theft behavior, and is a practical and effective method for power companies to carry out power theft analysis.
Comparison of Two Estimators of the Regression Coefficient Vector Under Pitman’s Closeness Criterion
Authors: Wu Jibo
Published: November 2020

Schaffrin and Toutenburg [1] proposed a weighted mixed estimation based on the sample information and the stochastic prior information, and they also show that the weighted mixed estimator is superior to the ordinary least squares estimator under the mean squared error criterion. However, there has no paper to discuss the performance of the two estimators under the Pitman’s closeness criterion. This paper presents the comparison of the weighted mixed estimator and the ordinary least squares estimator using the Pitman’s closeness criterion. A simulation study is performed to illustrate the performance of the weighted mixed estimator and the ordinary least squares estimator under the Pitman’s closeness criterion.
A Virtual Reality Check: Covid-19 & the Challenges Facing Virtual Reality as an off-the-shelf Mainstream EdTech Solution
Authors: Rach Markus , Scott Russell
Published: November 2020

Virtual Reality has been much researched as an education technology, particularly under the constructivist perspective of learning environments. Whilst some education institutes have already applied VR within their curriculum, or for marketing purposes, interest has calmed much around the technology. However, since the start of the global Covid-19 pandemic, many educators were faced with the need to distance educate, which sparked a new wave of interest in VR as a potential education technology solution; even to extent of classroom substitution. Whilst the advantages of VR to education have been researched, this paper seeks to address a specific research gap to assist education in the selection of VR as a suitable education technology. Based on qualitative interviews, literature research and the practitioner experience of the authors in the field of education and VR, a technology fit assessment model has been proposed to support education institutes in their VR evaluation process.
Analysis of the Legal Basis to Mitigate Cyberbullying in Social Networks in Ecuador
Authors: Toapanta Toapanta Segundo Moisés , Tacuri López Ingrid Lilibeth , Mafla Gallegos Luis Enrique
Published: November 2020

Cyberbullying is a critical issue in society worldwide, however in Ecuador is not given necessary importance to mitigate this cybercrime. It has been proposed to develop an exhaustive analysis of the laws that are currently considered to sanction cyberbullying when denouncing this fact. The deductive method and exploratory research were employed to make the analysis of the information consulted from the various sources that are obtained on the network about the topic discussed. The investigation revealed how cyberbullying cases arise, from which it is obtained that only 0.07% have been reported, with this result it can be deduced that the number of reported cases is very low in relation to the total number of cellphones activated in Ecuador and people who may be victims of this cyber-crime. In addition, a “Criminal Process Diagram” was obtained that determines the sequence of how the judicial process work. The applied method resulted the following: Can be created a law project that battles each type of derived cyberbullying. It was concluded that several institutions in Ecuador work together with organizations to prevent cyberbullying, however, when this happens, the laws are not enough to punish the act.
The Coupling Co-Location Pattern: A New Spatial Pattern for Spatial Data Sets
Authors: Zhou Shiran , Wang Lizhen , Wu Pingping
Published: November 2020

There is a variety of interesting knowledge in spatial data sets. Spatial co-location pattern mining can discover sets of different features that are co-located. However, this type of pattern only lists the features that appear together without any consideration of the quantity ratio, which can cause confusion. For example, the co-location pattern church, restaurants shows that churches and restaurants are often close to each other, but information such as how many restaurants are near a church is usually not displayed. Also, in real spatial data sets, there is a mutual influence between spatial features, that is, a coupling relationship between different features or the same features. Thus, this paper proposes a novel spatial pattern called a coupling co-location pattern. First, we discuss the properties of the coupling phenomenon between spatial features, and then the concept of coupling co-location patterns is defined formally. Second, the measurement of support and mining framework for coupling co-location patterns are proposed. Finally, we conduct experiments on both real and synthetic data sets, and the results verify the practical significance of coupling co-location patterns.
LAR: A User Behavior Prediction Model in Server Log Based on LSTM-Attention Network and RSC Algorithm
Authors: Shang Yingying
Published: November 2020

Using server log data to predict the URLs that a user is likely to visit is an important research area in user behavior prediction. In this paper, a predictive model (called LAR) based on the long short-term memory (LSTM) attention network and reciprocal-nearest-neighbors supported clustering algorithm (RSC) for predicting the URL is proposed. First, the LSTM-attention network is used to predict the URL categories a user might visit, and the RSC algorithm is then used to cluster users. Subsequently, the URLs belonging to the same category are determined from the user clusters to predict the URLs that the user might visit. The proposed LAR model considers the time sequence of the user access URL, and the relationship between a single user and group users, which effectively improves the prediction accuracy. The experimental results demonstrate that the LAR model is feasible and effective for user behavior prediction. The accuracy of the mean absolute error and root mean square error of the LAR model are better than those of the other models compared in this study.
A Pipeline Abnormal Signal Detection Method Based on 1D-Faster R-CNN
Authors: Zhang Zhen , Lin Weiguo
Published: November 2020

Aimed at the detection difficulty of local abnormal signals during pipeline operation, this paper takes the local abnormal signals as the detected targets, and proposes a new method based on target detection to extract abnormal signals with different amplitude and shape; and for the case where there are few actual leak samples, combined with the characteristics that the training samples of each module of the model itself are derivative samples of the original sample, so as to realize the small sample training of the model. Finally, a new pipeline leak detection and location method is proposed by combining the 1D-faster R-CNN with the cross-correlation location method based on signal matching. The experimental results show that the proposed method effectively extracts local abnormal signals, accurately alarms leak signals, and eliminates the false alarms caused by the recognition errors of normal signals.