bluuebunny/crossref_metadata_2025 huggingface dataset:
Artvin İli Tatlı Su Ekosistem Sedimentlerin’de Ağır Metallerin Çevresel Ekolojik Risk Etkilerinin Alansal ve Zamansal Değerlendirilmesi
Authors: ÖZŞEKER Koray
Published: December 2019

Bu çalışmada, doğal ve
antropojenik kaynaklı metal kirliliğinin ekolojik risk durumu Kuzeydoğu Karadeniz
(Artvin) Tatlı su ekosistem sedimentlerinde fizikokimyasal parametreler ile
birlikte alansal ve zamansal olarak incelenmiştir. Tatlı su ekosistemleri
bölgede bulunan baraj gölleri ve bu gölleri besleyen dereler olmak üzere iki
alt kategoride irdelenmiştir. Bu kapsamda araştırma her bir baraj gölü için
4’er istasyon ve baraj göllerini besleyen her bir dere için 3’er istasyon olmak
üzere 21 farklı istasyon belirlenerek yapılmıştır. Örnekler 2-75 m derinlik
aralığından elde edilmiştir. Örneklemeler ilkbahar, sonbahar, kış ve yaz olmak
üzere dört farklı iklim koşulunda Haziran 2015 ve Eylül 2016 tarihleri arasında
mevsimsel olarak yürütülmüştür. Bakır (Cu) ve Kurşun (Pb) araştırılacak
elementler olarak seçilmiştir. Ağır metal analizleri ACME analitik kimya laboratuvarında
ICP-MS yöntemi ile gerçekleştirilmiştir. En yüksek ortalama metal değerleri sonbahar
mevsiminde göl ekosistemleri içerisinde Borçka Baraj Gölü’nde (Cu=361,9 ppm,
Pb= 176,8 ppm), dere ekosistemleri içerisinde ise Murgul Deresi’nde( Cu= 801,3
ppm, Pb= 192,7 ppm) olarak tespit edilmiştir. Bölgedeki kirlilik boyutunun
ortaya konulması amacıyla sediment zenginleşme faktörü (SEF), kirlilik yük
indeksi (PLI), jeoakümülasyon indeksi (IGEO), toplam ekolojik risk
indeksi (RI) ve sediment kalite rehberi (SGV) yöntemleri kullanılmıştır. Bu çalışmanın
sonuçlarına dayanarak, Cu ve Pb elementlerinin Artvin ili tatlı su
ekosistemleri için toksik etki gösterdiği ve bu ekosistemlerin metal kirliliği
açısından orta risk sınıfında değerlendirilmesi gerektiği sonucu ortaya
konulmuştur.
Fındıklı Çağlayan Havzasında Bazı Havza Karakteristiklerinin Coğrafi Bilgi Sistemleri İle Tespit Edilmesi
Authors: YÜKSEK Turan , ÖZÇELİK Ali Erdem , VEREP Bülent
Published: December 2019

Ekolojik
dengeye dayanan sürdürülebilir bir arazi yönetimi için ülkemiz havzalarına ait
havza karakteristiklerinin doğru biçimde belirlenmesi ve planlamacıların
dikkatine sunulması oldukça önemlidir. Bu amaçla Fındıklı çağlayan havzasına
ait bazı havza karakteristikleri ve arazilerin yükselti basamakları, eğim
gurupları ile orman toplumlarının yükselti ve bakı göre dağılımları Coğrafi
Bilgi Sistemi (CBS) yardımıyla ortaya konulmuştur.

Araştırma
sonucuna göre Çağlayan havzasının alanı 17403.6 ha, havza ana dere uzunluğu
30.5 km, havzanın ortalama eğimi %36.2’dir. Havza içinde en fazla arazı %13,54
ile 2401-2700 m yükselti basamağında, en az arazi ise % 0.58 ile 3001-3300 m
yükselti basamağında bulunmaktadır. Havza
genelindeki arazilerin % 62.26’sı gölgeli bakılar (doğu, kuzey, kuzeydoğu ve
kuzeybatı, %37.74’ü güneşli bakılar (güney, güneydoğu, güneybatı ve batı)
üzerindedir. Çağlayan havzasında en geniş alanda %
46.42 ile Kumlu tüf-Andezit-Bazalt lav ve piroklastları kayaç gurubu egemendir.
Bu formasyonu  % 36.96 ile
granit-mikrogranit ve granadiorit kayaç gurubu takip etmektedir. Havza genelindeki arazilerin % 41.54’ü orman, % 29.72’si
orman toprağı, % 15,39’u mera, % 0.27’si su ve %13.09’u ziraat arazilerinden
oluşmaktadır.
Pengaruh Ekuitas Merek terhadap Keputusan Mahasiswa dalam Memilih Kuliah di Politeknik Negeri Banjarmasin
Authors: Nuryadin Muhammad Teguh , Yunida Riswan , Padli Padli
Published: December 2019

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh secara simultan dan pengaruh secara parsial antara Ekuitas Merek terhadap keputusan mahasiswa dalam memilih kuliah di Politeknik Negeri Banjarmasin.Jenis penelitian ini adalah deskriftif kuantitatif dengan teknik analisa data menggunakan regresi linier berganda menggunakan bantuan Softwere SPSS dengan mengumpulkan data primer menggunakan kuesioner yang di bagi kepada responden yaitu mahasiswa Politeknik Negeri Banjarmasin. Jumlah sampel dalam penelitian ini adala 100 mahasiswa yang diambil menggunakan teknik Purphosive Judgement Sampling. Hasil penelitian ini menunjukan bahwa terdapat pengaruh signifikan secara simultan dari Ekuitas Merek yang terdiri dari Kesadaran Merek, Loyalitas Merek, Kesan Kuaitas, dan Asosiasi Merek terhadap Keputusan Mahasiswa dalam memilih Kuliah di Politeknik Negeri Banjarmasin, kesadaran merek dan loyalitas merek berpengaruh signifikan terhadap keputusan Mahasiswa dalam memilih kuliah di Politeknik Negeri Banjarmasin, kesan kualitas dan Asosiasi Merek tidak berpengaruh signifikan terhadap Keputusan mahasiswa dalam memilih kuliah di Politeknik Negeri Banjarmasin. Kata Kunci : Ekuitas Merek, Keputusan Mahasiswa
Eksplorasi Keterkaitan antara Citra Destinasi, Personalitas Destinasi dan Niat Berkunjung Kembali ke Destinasi Wisata
Authors: Setiawan Heri , Bustan Jusmawi , Hamid Abd. , Ummasyroh Ummasyroh
Published: December 2019

Most countries try to develop tourism destinations with a variety of strategies to be able to compete with other destinations. This study is designed to explore the relationship between destination image, destination personality, and intention to re-visit tourists to tourism destinations. The approach used in this study is a quantitative approach to the design of causality research. The research sample is domestic tourists who have visited tourist destinations in Palembang such as Benteng Kuto Besak, Jaka Baring Sport City, Kemaro Island, Kambang Iwak Park, Punti Kayu Park, Siguntang Park, Taman Purbakala Sriwijaya totaling 192 respondents. The structural equation model is used to test the model developed using the maximum likelihood (ML) estimation method using AMOS 22.0. The results of the study explained that there is a linear relationship between destination images and destination personalities. There is no linear relationship between the destination images with the intention to visiting again. Then, there is a linear relationship between personalities of the destination with the intention of visiting again.
Pembentukan Loyalitas Pelanggan: Intensi Hubungan dan Kualitas Hubungan (Studi kasus di Industri Ritel Pakaian, Kota Bandung)
Authors: Tamyiz Uus Muhamad Husni , Hurriyati Ratih , Dirgantari Puspo Dewi
Published: December 2019

Dalam membangun loyalitas pelanggan, pemasar perlu untuk membangun dan mempertahankan hubungan yang baik dengan pelanggan. Namun, upaya ini tidak selalu efektif karena kegiatan kemitraan dengan retailer ritel pakaian tidak ditanggapi oleh semua pelanggan. Oleh karena itu, intensi pelanggan untuk terlibat dalam hubungan dengan retailer harus menjadi titik awal untuk membangun loyalitas pelanggan. Tujuan dari penelitian ini adalah untuk memprediksi apakah kualitas hubungan pelanggan dan intensi hubungan mempengaruhi loyalitas mereka kepada retailer pakaian. Data dikumpulkan dari 327 responden yang berada di 13 kecamatan, Kota Bandung. Berdasarkan hasil penelitian menemukan bahwa intensi hubungan secara individu berpengaruh signifikan terhadap loyalitas dan secara bersama-sama intensi hubungan dan kualitas hubungan berpengaruh terhadap loyalitas.
Pentingnya Opini Audit Going Concern dan Determinasinya
Authors: Suryo Medianto , Nugraha Erik , Nugroho Lucky
Published: December 2019

Tujuan dari penelitian ini adalah untuk menganalisa pengaruh dari audit tenure, debt default dan opini audit tahun sebelumnya terhadap opini audit going concern pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2012-2016. Selanjutnya variabel audit tenure, debt default dan opini audit tahun sebelumnya merupakan variabel independen, sedangkan variabel opini audit going concern sebagai variabel independen. Sampel yang digunakan pada penelitian ini sebanyak 31 perusahaan manufaktur selama 5 tahun periode pengamatan sehingga diperoleh 155 sampel penelitian. Data yang digunakan dalam penelitian ini adalah data sekunder dan teknik pemilihan sampel dengan metode purposive sampling. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi logistik dengan tingkat signifikansi 5%. Hasil pengujian hipotesis menunjukkan bahwa secara simultan variabel audit tenure, debt default dan opini audit tahun sebelumnya berpengaruh terhadap penerimaan opini audit going concern sebesar 61,7%. Secara parsial variabel audit tenure, debt default dan opini audit tahun sebelumnya tidak memiliki pengaruh terhadap penerimaan opini audit going concern.
Implementasi Asas Transparansi Good Corporate Governance pada BUMD di Indonesia
Authors: Amdanata Donal Devi , Yusriadi Yusriadi , Mansor Noorhayati , Lestari Nurul Nuzilah
Published: December 2019

The Government of Indonesia finally issued a Government Regulation (PP) governing Regionally Owned Enterprises (BUMD), namely PP No. 54 of 2017 concerning BUMD. The PP is the government's answer to the debate about BUMD that has occurred so far. The government provides an opportunity for regional governments to optimize the wealth of their respective regions, but because local governments are not allowed to carry out business activities, establishing BUMD is one way that can be done by local governments to increase Regional Original Revenue (PAD). Even so, the government did not prepare regulations that govern BUMD. With PP No. 54, it is hoped that the parties involved with BUMD have guidelines on how to manage and oversee BUMD operations. The purpose of this study was to determine the level of implementation of Good Corporate Governance (GCG) guidelines on BUMD throughout Indonesia in the form of Regional Corporation (Perseroda). In this study, the scope of the research is limited to examining the implementation of the principle of transparency in the General Guidelines for GCG in Indonesia issued by the National Committee on Governance Policy (KNKG) in 2006. One of the main guidelines for the implementation of the transparency principle is that companies must provide information in a timely, adequate, precise, accurate, and comparable and easily accessible to stakeholders under their rights. To obtain this information, the first step taken is to inventory BUMDs in the form of Perseroda in Indonesia. BUMD data obtained through searching facilities from the internet. Based on the searching, 57 BUMDs were obtained that matched the research criteria. Based on this study, only 35% of BUMDs implemented the principle of transparency, 26% only implemented a part of the transparency principle, and the remaining 39% did not apply the principle of transparency.
Apakah Infrastruktur Jalan Mempengaruhi Ekspor? Pendekatan Vector Autoregressive
Authors: Amri Khairul
Published: December 2019

This study aims to investigate the effect of road infrastructure on exports for the case of the Indonesian economy. Using time-series data during the 1987-2013 period sourced from the Indonesian Bureau of Statistics (BPS), the econometric model employed pertain to Johanson co-integration test, vector autoregressive, and Granger causality test. The finding of the study points out that there is no long-term relationship between the two variables. The rising in exports positively and significantly was affected by road infrastructure three years earlier. Furthermore, export has a positive and significant effect on road infrastructure at a lag of 1. The increase in export commodities leads to the government to improve road infrastructure at the one-year horizon. The result of the Granger causality test indicates that there is a bidirectional causality relationship between exports and road infrastructure. The increase in road infrastructure led to an increase in exports, and the increase in exports also led to an increase in road infrastructure
Influence of Transformational and Transactional Leadership Style toward Food Safety Management System ISO 22000:2018 Performance of Food Industry in Pati Central Java
Authors: Purwanto Agus , Asbari Masduki , Santoso Priyono Budi
Published: December 2019

The purpose of this study is to analyze the influence of transformational and transactional leadership styles to the performance of the implementation of a food safety management system ISO 22000: 2018 at PT. SPN a food packaging beverage industry located in Pati Central Java. The study population are employees at PT. SPN as many as 88 people and data collection methods by giving a census questionnaire to all employees. The analysis tool this study uses SEM (Structural Equation Model) the LISREL program version 8.70. The results show that the transformational leadership style have positive and significant affected to the performance of implementation ISO 22000: 2018 and the transactional leadership style also have significant and positive affected the performance of implementation of the food safety management system ISO 22000:2018.
Improvement of monitoring requirements over the application of chlorine-containing agents for water decontamination
Authors: Zholdakova Z.I. , Sinitsyna O.O. , Mamonov R.A. , Lebed-Sharlevich Ya.I. , Pechnikova I.A.
Published: December 2019

Introduction. Oxidizing methods are most widely used for water disinfection with such reagents as chlorine, chlorine dioxide, sodium, and calcium hypochlorite. However, the regulatory instruments of the sanitary and epidemiologic legislation do not fully reflect the requirements for monitoring of their use. Materials and methods. We analyzed the research, regulatory and methodological literature concerning water disinfection issues in the process of water treatment and the parameters of water disinfection efficiency as well as the quality of drinking water of three water treatment stations based on production control data (Perm, Russia) and the results of own research (the towns of Nizhny Tagil (Russia) and Curitiba (Brazil)). Results. A comparative analysis of regulatory documents governing the parameters of the efficacy and safety of drinking water disinfection with chlorine in different years showed that, after the completion of the disinfection process of drinking water, residual free chlorine should be kept within 0.3–0.5 mg/L after 30 minutes of contact or residual bound chlorine – within 0.8–1.2 mg/L after 60 minutes of contact. With the simultaneous presence of free and bound chlorine in water, their total concentration should not exceed 1.2 mg/L. When analyzing the production control data for drinking water in the city of Perm, where chloramination was used for water treatment, we established that the concentration range of 1.04–1.44 mg/L of only the residual bound chlorine ensured high efficiency of water disinfection according to microbiological indicators. The examples of water treatment plants in the towns of Nizhny Tagil and Curitiba demonstrated that water treatment with 0.3 and 0.4 mg/L of chlorine dioxide formed no new dangerous organochlorine compounds but the disinfected drinking water contained residual amounts of chlorine dioxide, as well as chlorite and chlorate anions. Conclusion: These indicators should be included in the regulatory documents to monitor the safe use of chlorine dioxide for water disinfection.
The influence of UV radiation on the property change of plant materials
and their storability: A review
Authors: Trishkaneva M.V. , Tyurina S.B. , Fedyanina N.I. , Musatova
Published: December 2019

The review presents the analysis of effects of different ranges of ultraviolet (UV) radiation on physicochemical and organoleptic properties of certain types of fruits, vegetables, and mushrooms, as well as on changes in their storability. It provides the results of experimental studies and information from patent descriptions demonstrating significant changes in the properties and composition of plant objects after UV-treatment: an increase in the concentration of phenolic compounds, anthocyanins, quercetin glycosides, chlorogenic and ascorbic acids, and an increased antioxidant activity. Available data allow us to conclude on the efficiency of applying UV radiation, both as an independent type of product treatment during storage and processing of plant raw materials, and as part of combined methods using other physical processing techniques (microwave radiation, fast electron processing, γ-radiation, sonication, thermal treatment, etc.). The effectiveness of UV radiation significantly depends on its range and processing modes. UV radiation, along with the sterilizing effect, has a thermal effect on the treated objects. This means that a long-term exposure to UV radiation causes significant heating, which must be taken into account when processing plant objects having a temperature below the ambient one as it can potentially amend their storability. The review discusses the issues of choosing optimal UV treatment modes (radiation dose and processing time) that improve storability of fruits, vegetables, mushrooms and other plant species while preserving their physicochemical and organoleptic quality parameters. In conclusion, the efficiency of the radiation dose is determined by the radiation power flux density, parameters of radiation sources and their location relative to the processed objects. Determination of the optimal conditions (radiation dose and processing time) of UV treatment of plant raw materials, depending on the goals, is an important scientific and technological task.
Mode d’utilisation des antibiotiques dans les élevages de bovin laitier sédentaires au nord-ouest du Bénin
Authors: Serge Egide Paulin Mensah , Philippe Sessou , Christie Nata , Koomlan Yélindo Kadjinou Brice Adjahoutonon , Olivier Lahamy , Souaïbou Farougou
Published: December 2019

Une enquête transversale a été faite pour évaluer l’utilisation des antibiotiques dans les élevages de production de lait de vache des communes de Natitingou, Kérou, Pehunco, Kouandé et Djougou au nord-ouest du Bénin. Sur 452 éleveurs enquêtés, 347 (76,7%) utilisaient des antibiotiques sans assistance vétérinaire pour le traitement des affections respiratoires (19,0%), les entérites néo natales (19,0%), les dermatoses (18,0%), les plaies (17,0%), les mammites (17,0%) ou d’autres maladies (10,0%). Les tétracyclines (100,0%), les pénicillines (100,0%), les sulfamides (47,1%) et les macrolides (16,8%) étaient les familles d’antibiotiques les plus utilisées. 35,6% des éleveurs achetait les antibiotiques au marché contre 84,4% chez un vétérinaire et 35,1% les achetait sans le conseil d’un vétérinaire. Plus de 50% des éleveurs ne consulte pas un vétérinaire pour l’administration des antibiotiques ou n’adapte jamais la posologie selon le poids des bovins traités. Enfin, 83,6% des éleveurs faisaient traire les vaches sous traitement antibiotiques tout comme les vaches sans traitement. Les services vétérinaires du Bénin devraient mieux contrôler de l’utilisation des antibiotiques en production de lait de vache et sensibiliser les éleveurs sur le risque représenté par la présence de résidus d’antibiotiques dans le lait de vache consommé.

ABSTRACT
A cross sectional survey was conducted to assess the use of antibiotic in dairy farms in the municipalities of Natitingou, Kérou, Pehunco, Kouandé and Djougou in northwestern Benin. Three hundred and Forty seven 347 (76.7%) of the 452 surveyed farmers used antibiotics without veterinary assistance against neonatal enteritis (19.0%), dermatitis (18.0%), wounds (17.0%), mastitis (17.0%) or others diseases (10.0%). Tetracyclines (100.0%), penicillins (100.0%), sulfonamides (47.1%) and macrolides (16.8 %) and were the most used families of antibiotics. 35.6% of breeders bought antibiotics at the market against 84.4% at a veterinarian and 35.1% bought them without the advice of a veterinarian. More than 50% of breeders do not consult a veterinarian for the administration of antibiotics or never adapt the dosage according to the weight of the treated cattle. Finally, 83.6% of breeders milked cows under antibiotic treatment as cows without treatment. Benin veterinary services should more control the use of antibiotics in dairy farms and inform the farmer about the risk associated with the presence of antibiotics residues in consumed cow milk.
PKM Kelompok PKK Kecamatan Tikala Manado Tentang Pemanfaatan Pupuk Hijau Untuk Meningkatkan Produksi Tanaman Hias dan Sayuran Sebagai Peluang Bisnis Bagi Ibu-Ibu PKK
Authors: Mambu Susan Marlein , Singkoh Marina Flora Oktavine
Published: December 2019

Tanaman hias tidak lagi dipajang di luar rumah, tapi juga di dalam rumah. Peluang bisnis ini bukan hanya untuk kalangan pengusaha tetapi juga bagi ibu rumah tangga yang memiliki keahlian merawat tanaman. Selain tanaman hias, para ibu rumah tangga juga bisa menjual tanaman hias dan sayuran yang bisa digunakan untuk keperluan dapur. Harga tanaman hias yang fluktuatif, harus disesuaikan dengan kondisi pasar, sehingga diperlukan perencanaan manajemen keuangan yang baik. Salah satu kendala selain ketersediaan bibit, yaitu harga pupuk yang mahal, membuat biaya penjualan menjadi tinggi, sehingga peluang bisnis ini menjadi kurang diminati. Penggunaan pupuk organik dalam hal ini pupuk hijau yang berasal dari sisa-sisa panen tanaman dapat menjadi alternatif untuk menekan harga penggunaan pupuk buatan. Bahan dari tanaman ini dapat dibenamkan pada waktu masih hijau atau segera setelah dikomposkan. Program kemitraan ini bertujuan untuk memanfaatkan sisa-sisa tanaman panen untuk dijadikan pupuk hijau yang berguna untuk meningkatkan kandungan bahan organik dan unsur hara dalam tanah, sehingga terjadi perbaikan sifat fisik, kimia dan biologi tanah, yang akhirnya berdampak pada peningkatan produktivitas tanah dan meningkatkan pertumbuhan dan produksi tanaman khususnya tanaman hias dan sayuran sebagai peluang bisnis yang bisa menjadi alternatif penghasilan tambahan bagi para ibu-ibu PKK di Kecamatan Tikala Manado. Metode pelaksanaan kegiatan yaitu metode berbasis kelompok yang dilakukan secara komprehensif meliputi penyuluhan, demonstrasi serta tutorial untuk meningkatkan pengetahuan tentang pembuatan pupuk hijau, dan meningkatkan keterampilan menghasilkan produk. Kegiatan tim PKM dilakukan secara terukur disertai proses monitoring evaluasi untuk mengukur ketercapaian target. Hasil praktek menunjukkan bahwa kriteria tertinggi pada aspek ke 3 (motivasi peserta menindaklanjuti semua petunjuk sesuai pelatihan ) dengan kriteria sangat baik (25  peserta), sedangkan kriteria terendah pada aspek ke 5 (kemampuan peserta bekerjasama dalam tim) dengan kriteria kurang (2 peserta).
Modelling the Foreign Portfolio Investor Shareholding of Select Private Sector Banks in India
Authors:   Research Scholar, GITAM Institute of Management,GITAM Deemed To be UniversityVisakhapatnam, Chauhan* Mrs. Manisha Pallavi , Rao Dr. S. S. Prasada ,   Ph.D.Professor of Management & Director – Centre for Learning and SustainabilityGITAM Deemed To be University, Visakhapatnam
Published: December 2019

This paper projects a financial model involving key capital market financial variables such as FPI shareholding, Market Price, Earning Per Share (EPS), Price to Earnings Ratio (P/E Ratio), Book Value, Price to Book Value (P/B Ratio), Dividend Yield, Enterprise Value, Market Capitalisation, Beta, Net Profit and Operating Profit and determines the impact of these financial variables on the FPI shareholding of the Banks. The selected private banks include: Axis Bank Ltd., HDFC Bank Ltd., Kotak Mahindra Bank Ltd., Yes Bank Ltd. and ICICI Bank Ltd.The Study is based on 14 yearsQuarterly data from June 2005 to March 2019, obtained from secondary sources. The statistical tools used for the study are Analysis of Variance, Karl Pearson Coefficient of Correlation, Regression and Chi- Square Test for Goodness of Fit to test hypothesis of the study. The data was analysed using statistical packages for social sciences.Our study concludes that different financial variables impacted the FPI shareholding of each selected banks. It was also found that the model framed was a Good fit to the FPI shareholding of all the select banks.This model will help to estimate the future values of FPI shareholding of the selected banks provided the values of significant financial variable corresponding to the required period is known
Design and Fabrication of Portable Luggage Cart
Authors:   Department of Mechanical Engineering,, Rajiv Gandhi University of Knowledge Technologies, Nuzvid, Andhra Pradesh, India., Aswarthanarayana* Mr Potli , Basha Dr Shaik Ahammad ,   Department of Mechanical Engineering, Rajiv Gandhi University of Knowledge Technologies, Nuzvid, Andhra Pradesh, India.
Published: December 2019

Luggage is an intrinsic part of travelling. If it is heavy, carrying luggage is a difficult task for anyone. There are many inventions made to resolve this issue. People use various trolley bags to carry luggage. But the price of trolley bags are little higher and cannot be afford by everyone. A portable luggage cart is the best solution to this problem. It is simple and can carry up to 150 kg. It is designed in such a manner that it can be placed in a bag. When it is unfolded the size becomes double. The present work concentrates on design of portable luggage cart and fabrication of the same. Four caster wheels are provided to increase the stability of cart. The cart is designed in CATIA and later equivalent stress and total deformation of design are calculated by using ANSYS. A prototype of the design was produced by using additive manufacturing technique. A STRATASYS 3D printer [FDM (Fusion Deposition Modeling) based)] is used to prepare prototype. Aluminum bars are used to prepare actual cart due to its low density. The final cart is fabricated by using basic mechanical operations like cutting, slotting, fitting and broaching. These carts will reduce the congestion in railway stations and bus stations by increasing the speed of movement of passengers.
Design of Coplanar Circuit Switching Network in Quantum Dot Cellular Automata
Authors:   Assistant Professor, ECE department, Kongu Engineering college, Erode, Tamilnadu, India., Chandrasekaran* A.
Published: December 2019

Quantum dot Cellular Automata (QCA) is the alternative technology to the classic CMOS technology since it is going to attain a road block in reducing power consumption and increase speed of the digital circuits. Circuit switching network is the basic component in order to transmit input signal among the different users within the communication network. A novel crossbar switch is proposed in this paper to design this communication network. The basic building blocks of the proposed circuit Switching network are Crossbar switch, Multiplexer and Demultiplexer. Multilayer QCA cells are almost impossible when compared to the fabrication feasibility of the single layer design. So this design is achieved in single layer.Circuit switching network is designed and compared with existing one using QCA Designer2.0.3.The designs are verified through matching up with truth tables.
Consciousness about Mobile App Permissions
Authors:   Assistant Professor , Department of CSE, BGSIT, Mandya, India., H R* Uma , G R Rashmi ,   Assistant Professor , Department of CSE, BGSIT, Mandya, India., V Bindushree ,   Assistant Professor , Department of CSE, BGSIT, Mandya, India.
Published: December 2019

This paper gives us the attentiveness on opening files from unknown sources as sometimes it may cause damage to our mobile phones. In almost all the mobile apps after downloading it will ask some of the permissions to allow clicking for the allow button only we can able to access anything in that application otherwise we are unable to use all the features of that application. Many popular android apps including Facebook messenger, WhatsApp, Skype, Twitter, Share it, Instagram and other party apps get user permission after the installation. By allowing these permissions they can recording with the phone audio and video at any time, they can see contacts and modifying the USB storage contents(files). Lack of knowledge and awareness about permissions to the people may cause significant negative consequences. This research evaluates effectiveness of a demo app with visual ques to increase permissions awareness and avoid negative consequences.
SCA Based Interval Type-2 Fuzzy PID Controller for Solar MPPT
Authors:   Department of Electrical Engineering, National Institute of Technology, Raipur, India, Sahu* Raj Kumar , Shaw Binod ,   Department of Electrical Engineering, National Institute of Technology, Raipur, India.., Nayak Jyoti Ranjan ,   Department of Electrical Engineering, National Institute of Technology, Raipur, India.
Published: December 2019

In this publication section, novel interval type-2 fuzzy-PID controller (T2FPID) based Maximum Power Point Tracking (MPPT) is implemented in proposed a standalone photovoltaic (PV) system, type-1 fuzzy-PID controller (FPID), and PID controller with strategic control of online set point tracking in association with DC-DC boost converter is enforced in PV system to track maximum power point (MPP) in solar PV system is depicted. The opted controllers are appropriately composed by picking sine-cosine (SCA) algorithm. The proposed T2FPID based MPPT technique is espoused to dig out maximum power under certain circumstances of temperature and irradiance. System performance is enhanced by the act of T2FPID controller. The maximum output power, voltage & current, duty cycle for DC-DC boost converter is relevantly controlled by the novel T2FPID controller tuned by SCA algorithm. The T2FPID based MPPT technique is authenticated by comparing it by P&O based technique. Finally, it is scrutinized that, the supremacy of intended controller is proved over conventional P&O technique, conventional PID & T1FPID controller; conceding the oscillation, time response, settling time and maximum values of voltage, current & power of the solar system. Robustness analysis is performed by varying the irradiance and temperature partly keeping one parameter constant. The proposed work is further validated on OPAL RT system.
The Factors Affecting Online Voluntary Disclosure in Indonesian F&B Companies
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia., Sabrina* Sasya , Thersia Lely ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: December 2019

The purpose of this research is to analyze the effect of public stock ownership portion, firm size, leverage, and profitability toward voluntary disclosure published online. The data are selected using purposive sampling method and there are 13 food and beverage companies listed in Indonesia Stock Exchange that meet the criteria. The data are time series from 2014-2018. The data are processed using multiple regressions as the analysis method. The empirical results of this research show that firm size has a positive and significant impact on voluntary disclosure. Other independent variables which are the public stock ownership portion, leverage, and profitability do not affect voluntary disclosure. Firm size also became the most dominant factor in influencing the voluntary disclosure. This research can be useful for investors to make investment decisions based on how many disclosures the companies publish.
Rasterhadoop: An Application Perspective of Raster Data Processing on Hadoop
Authors:   ADRIN, Dept. Of Space, Hyderabad, India,, Bhushan* R. Phani , Somayajulu DVLN ,   Dept. of CSE, IIITDM, Kurnool, India, Venkatraman S. ,   ADRIN, Dept. Of Space, Hyderabad, India, Subramanayam RBV ,   Dept. Of CSE, NIT, Warangal, India
Published: December 2019

Hadoop is currently the most popular platform for parallel processing. With its two major components namely the Distributed File System (HDFS) and a parallel processing paradigm (MapReduce) in addition to its ease of installation and usage, Hadoop has become the chosen platform for efficiency whether in the commercial arena or the scientific arena such as Satellite Data Processing. The number of remote sensing satellites have also grown leaps and bounds and the data sent back by them for processing has all the three characteristics namely volume, velocity and variety that make it Big Spatial Data. In this paper, we present the extensions provided to Hadoop that enable Image Processing using legacy code and further elaborate on the various methods provided.
The Need of Business Analytics in Today’s Scenario
Authors:   School of Computer Studies, Rathnavel Subramaniam College of Arts & Science (Autonomous), Sulur, Coimbatore, India., Yamini* S.
Published: December 2019

Analytics is having the huge potential to improve any business. Due to the increase in the technological developments, the data is collected, interpreted and analyzed everywhere. The power and the impact of the data is huge. Previously, the Managerial decisions were taken based on the experience or by the gut insights. But now, the Data Analytics is made it easy to improve the possibilities of making better decisions based on data. The primary focus of this research article is to summarize about how to work with data to make better managerial decisions. This article introduces about the statistical concepts in the right flow which will drive to inferences about the population regardless of the tools used.
Smart Drainage System using Zig Bee and IoT
Authors:   Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai, Vani* Dr. V. , Mohana Dr.M. ,   Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai-, Vanishree D. ,   B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai, Subiksha K. S. ,   B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai, Sushanthika M. ,   B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai
Published: December 2019

Early detection of drainage leakages are utmost important to avoid mixing with pure water. Leaving a clogged pipe unattended can prompt expanded pressure inside pipes, which would then be able to split and blast. This leads to an expensive problem that can cause significant damage. The other major problem faced mostly during rainy season is breeding of pests at roads due to drainage overflow which causes several waters borne diseases. Besides the traditional methods of identifying a leakage which incurs a high cost but low efficiency, this project presents with flow sensor and ultrasonic sensor which detects leakage and overflow respectively with the help of Wireless Sensor Network (WSN) which is based on ZigBee technology and Internet of Things (IOT) and an alert is sent through the mobile app to the authorities in Municipal Corporation prior overflow or any blockage to avoid leakage.
Design and Implement a Real-Time Detection and Defence Mechanism Against the SYN Flood Attack in Server Client System
Authors:   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Sarker* Sumonto , Bosu Kritimoy ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Ismail Firdous Bin ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Hossain Md. Mahabub ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh., Islam Md. Mehedi ,   Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Published: December 2019

In the digital world, maintaining information is much difficult. Without security measures and controls in place, data might be subjected to an attack. Now a day’s several attacks are evolved & Distributed Denial of Service (DDOS) is one of them. There are various categories of DDOS attack.SYN flood is addressed as one of the most dangerous attacks. In three way handshaking method a SYN packet is generated and a received ACK acknowledgement is provided to the corresponding. When the SYN packet is generated continuously from random sourcesis considered as flooding. And it’s known as SYN flood attacks. This paper is constructed with a proposed technique for the betterment of both the detection and defense techniques against it. The detection process is improved by a database added in the server for accepting random flooding for a limited time interval. And the defense algorithm is a developed design operated by scrolling the pending requests from database and checking the accessibility of the user and stop requesting otherwise. There are two parts of this research paper. The first one is to discuss extensively the various aspects of SYN Flood attack and developing the knowledge of this flooding attack mechanisms and the second one is to detect the SYN Flood attack and finding a better mitigation process through which we can reduce the loss of any information that generally happens by this deadly flooding. For saving server from crush it is important to mitigate this attack. So it may prove effective in home appliance servers like IoT, IoE that any of the fraud can't get access into the server for any harmful activity.
Wind Analysis of Tall Building with Vertical Setback for Different Height & Area Ratio
Authors:   Department of Civil Engineering, Government Engineering College, Ujjain, India, Sindal* Pradeep , Maru Dr.Savita ,   Department of Civil Engineering, Government Engineering College, Ujjain, India.
Published: December 2019

The Tall building is being used as much as possible, to live, to commercial and to make statue. It will be of all the building different shapes, design and Structure. From this point of view any building having different discontinuity in mass, geometry of Structure and stiffness. This discontinuity impart the irregularities in the structure. The collapse of high rise building due to irregularities like in symmetries of mass, stiffness, height ratio and geometry of structure. To keep this needs for a long time, we must find out the permissible irregularities to get the maximum building strength/ building life. For design of tall building we need to consider wind load. So, the effect of vertically irregularities in the wind analysis performance of structure becomes really important. Now we will study about behavior of high rise building with different vertical setback and Area ratio on different models of moment resisting rigid frame structure with optimum location of shear wall. In this scrutinize, G+30 story rigid frame structure is taken with two different aspect ratio 1:4:9 and 1:1.56:2.25 for different set-back position in the structure. The set-back provided in the structure are Setback at 15&25 story, Setback at 15&20 Story, Setback at 10&25 Story, Setback at 10&15 Story, Setback at 5&20 Story and Setback at 5&15 Story. Story drift, Story Displacement, Base shear Result are revaluated. On the basis of this result best structure to be discover.
Feature Selection on Noisy Twitter Short Text Messages for Language Identification
Authors:   Computer Engineering, Jamia Millia Islamia, New Delhi, India., Ansari* Mohd Zeeshan , Ahmad Tanvir ,   Computer Engineering, Jamia Millia Islamia, New Delhi, India., Fatima Ana ,   Computer Engineering, Jamia Millia Islamia, New Delhi, India.
Published: December 2019

The task of written language identification involves typically the detection of the languages present in a sample of text. Moreover, a sequence of text may not belong to a single inherent language but also may be a mixture of text written in multiple languages. This kind of text is generated in large volumes from social media platforms due to its flexible and user friendly environment. Such text contains very large number of features which are essential for development of statistical, probabilistic as well as other kinds of language models. The large number of features have rich as well as irrelevant and redundant features which have diverse effect over the performance of the learning model. Therefore, feature selection methods are significant in choosing features that are most relevant for an efficient model. In this article, we consider the Hindi-English language identification task as Hindi and English are often the two most widely spoken languages of India. We apply different feature selection algorithms across various learning algorithms in order to analyze the effect of the algorithm as well as the number of selected features on the performance of the task. The methodology focuses on the word level language identification using a novel dataset of 6903 tweets extracted from Twitter. Various n-gram profiles are examined with different feature selection algorithms over many classifiers. Finally, an exhaustive comparative analysis is put forward with respect to the overall experiments conducted for the task.
A Research on Collaborative Filtering Based Movie Recommendations: From Neighborhood to Deep Learning Based System
Authors:   Department of CSE, KIIT University, Bhubaneswar, India., Behera* Dayal Kumar , Das Madhabananda ,   Department of CSE, KIIT University, Bhubaneswar, India, Swetanisha Subhra ,   Department of CSE, Trident Academy of Technology, Bhubaneswar, India.
Published: December 2019

Recommender System or Recommendation Engine gaining popularity as it can tackle information overload problem. Initially it was considered as a domain of Information Retrieval system and was limited to few applications. With the advancement of different state-of-the-art modeling approaches recommender system can be applicable to many application domains. Movie Recommender System (MRS) is widely explored domain and used by many streaming service providers like Netflix, Amazon Prime, YouTube and many more. This system makes use of users’ data to explore and recommends personally as per their taste. In this paper a detailed study on recently published article related to movie recommendation is carried out. Popular techniques for MRS are commonlycategorized into collaborative filtering, content-based and hybridmethod. Neighborhood-based, latent factor based, neural network based and deep learning based techniques have been continuously evolved with application to MRS. Recently proposed models have been reviewed and it is found that hybrid method performs better as compared to individual model.
Retinex Color Balanced Piecewise Contrast and Fuzzy Trilateral Filter for Underwater Image Enhancement
Authors:   Ph.D. Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, India., Parameswari* A. , Srinath Dr. M.V. ,   Director,Department of MCA, STET Women's College, Sundarakkottai, Mannargudi, Tamil Nadu, India.
Published: December 2019

Over the past few years, underwater observation has become an active research area. Due to the higher rate of image degradation in the underwater environment, image enhancement has become one of the problems to be addressed for the underwater research. Underwater images face limitations like color correction, white balance, color contrast and haze. To overcome those problems, a novel fusion method based on the Retinex Color-balanced Piecewise-contrast and Fuzzy Reinforced Trilateral Filter (RCP-FRTF) method is presented for underwater image improvement. With the underwater image given as input, to start with, a color correction model based on the Retinex multi proportions is presented. With the color corrected output obtained, an Eigen-based White Balancing method is applied to generate color balanced model. With the color balanced underwater image, color contrasting is performed using the Piecewise Linear Color Contrast model. After obtaining the latter, the contrast is said to be improved to a better level. Finally, to generate a haze-free image a Fuzzy Reinforced Trilateral filter is applied. The enhanced and de-hazed images are distinguished by reduced noise level, thus enhanced visibility and contrast while the finest edges are enhanced. The proposed RCP-FRTF method provides better performance in terms of PSNR, computational time, complexity and accuracy as compared to conventional methods.
Performance Analysis of LMS, RLS, CMA Algorithms for Beamforming in Smart Antenna Systems
Authors:   KBPCOES, Sadar Bazar, Satara, India, Mane* Mrs. Sunita V. , Bombale Dr. Uttam L. ,   Department of Technology, Shivaji University, Kolhapur, India
Published: December 2019

Smart antenna systems strengthen wireless mobile communication, with enhancement over conventional systems, by projecting the signal power in narrow beams towards the desired users and suppressing the signal power towards unwanted users or interferers. Different DOA estimation and beamforming algorithms play crucial role in smart antenna system. In beamforming algorithms, using different techniques complex weights are calculated and applied to the signals from the smart antenna array elements to enhance signals of interest and suppress signals not of interest. In this article Least Mean Square(LMS) technique, Recursive Least Square(RLS)technique and Constant Modulus (CMA)technique adaptive beamforming algorithms are implemented, analyzed and compared using MATLAB simulations to help users to choose amongst them as per the their need, ease and suitability.
Factors Affecting the Stability of Functionally Graded Sandwiched Beams
Authors:   Dept.of Mechanical Engg., Koneru Lakshmaiah Education Foundation, Guntur, India., Padhi* Surya Narayan , Ram K. S. Raghu ,   Jasti Kasi Babu, Dept. of Mechanical Engg.,Vignan’s Institute of Information Technology, Visakhapatnam, India., Suresh K ,   Dept.of Mechanical Engg, GIT, GITAM, Rout Trilochan ,   Dept.of Mechanical Engg., Parala Maharaja Engineering College, Berhampur,India
Published: December 2019

In this paper few of the factors affecting the dynamic stability of a steel-alumina functionally graded sandwiched (FGSW) beam have been discussed. The equation of motion was derived using both Hamilton’s principle and finite element method. Floquet’s theory was used to separate the stable zone from the unstable. The effect of hub radius parameter and rotational speed on first mode and second mode instability region of FGSW beam have been studied following the power law and exponential law. The results indicated that increasing hub radius and rotational speed keeps the instability region away from load factor axis and hence remote the chances instability of the beam.
Big Data Analytics and Its Applications
Authors:   Research Scholar, Osmania University, Hyderabad, India., Manjulatha* B. , Pabboju Dr. Suresh ,   Head of IT Department, CBIT, Hyderabad, India.
Published: December 2019

Big Data plays an important role in today’s environment. As technology is rapidly growing, massive amount of data is being generated from various sources like social media, business organizations, healthcare sector, government sectors, educational institutions, iot applications through sensors and many more. It’s a tremendous task to handle such large amount of data by using relational database management systems. This paper briefly describes about what are the various tools and techniques used to manage the data.