bluuebunny/crossref_metadata_2025 huggingface dataset:
Judicial Error: Responsibility, but not the Right
Authors: Kurchenko Vyacheslav
Published: September 2019

In the article, the causes of judicial errors are discussed. The author examines the possibilities of imposing discipline sanctions on judges for their errors, considers a range of questions. In particular, should a judge seek the truth while hearing a case? Is a judge responsible for not only his or her errors but also for the errors of investigators, experts, and other participants of a proceeding? The author indicates various types of judicial errors and comes to a conclusion that gradual accumulation of ordinary or insignificant errors in the judge’s activity inevitably leads to systematic (or unordinary) errors. They indicate that the judge is unfair or incompetent.
Drawing on personal professional experience and judicial practice, positions of the Russian Constitutional Court and the European Court of Human Rights, the author makes a link between judicial errors and the quality of justice. He emphasizes that the judge should follow the legal rules concerning adjudication and maintain his or her level of competence.
CYP2C9 VE VKORC1 GENLERİNİN PROSTAT KANSERİ ETYOLOJİSİNDEKİ ROLLERİNİN ARAŞTIRILMASI
Authors: ARSLAN Ali Osman , DÜZENLİ Selma
Published: September 2019

1.
Amaç: Çalışmamızda, Sitokrom p450 enzimlerini kodlayan CYP
ve vitamin K epoksit redüktaz kompleks subünit1 enzimini kodlayan VKORC1
genlerinin alt gruplarındaki tek nükleotit polimorfizmlerinin muhtemel bireysel
ve ortak etkilerini prostat kanseri hastalarında araştırmayı amaçladık. Çalışma
sonuçları aynı zamanda bu iki gen ile ilgili henüz ortaya konmamış olan bizim
populasyonumuza özgü genotip dağılımını da kısmen ortaya koyacaktır.                 

2. Gereç ve Yöntem: Çalışmamıza
48 prostat kanseri tanılı erkek hasta ve 48 sağlıklı erkek birey dâhil edildi. Hasta grubu prostat tanısı almış
yaş aralığı 49-86 olan gönüllü bireylerden seçildi. Kontrol grubu prostat kanseri
olmadığı belirlenmiş, 51-86 yaş grubundaki gönüllü bireylerden seçildi. Hasta
ve kontrol grubu bireylerinin venöz kanları alınarak genomik DNA izolasyonları
yapıldı. İzole edilen DNA’ların ilgili gen bölgeleri polimeraz zincir
reaksiyonu (PCR) ile çoğaltıldı. Sonrasında PCR ürünleri mikroarray
cihazında özel
problar yardımıyla çalışıldı. CYP2C9 ve VKORC1 gen bölgelerine ait alt
grupların polimorfizmleri tanımlandı ve EpiInfo 3.5.1 istatistik programı ile
anlamlılıkları hesaplandı.          

3. Bulgular: Sonuçlarımızda
CYP2C9 ve
VKORC1 enzimlerini kodlayan genlerin alt gruplarının polimorfizmleri karşılaştırıldığında
hasta ve kontrol grubu arasında yüzde olarak önemli farklar görüldü. Örneğin
VKORC1 6853 G>C polimorfizmi için kontrol grubunda CC alleli %25 iken hasta
grubunda %34,5 olarak tespit edildi. CYP2C9 *3 A>C değişimi için kontrol
grubunda CC alleli %79,16 iken hasta grubunda %87,5 olarak tespit edildi.

4. Sonuç: Çalışmamızda
sayı ve yüzde olarak hasta ve kontrol grubunda
önemli farklar görüldü. CYP2C9 ve VKORC1 geninin alt gruplarının analizleri
sonucunda istatistiksel anlamlılık tespit edilmedi. Bunun sebebinin örnek
sayısı azlığı ile alakalı olduğu düşünüldü ve ileri çalışmaların konuyu
aydınlatacağı düşünüldü.
METOKSİKLORUN BÖBREK VE KARACİĞER DOKULARI ÜZERİNE ETKİSİ
Authors: BALCIOĞLU Esra , YALÇIN Betül , ÖNDER Gözde Özge , ÖZDAMAR Saim
Published: September 2019

Endokrin
bozucu; sağlıklı bir organizmada veya onun gelecekteki neslinde endokrin
sistemin çalışmasını değiştirerek, sağlık sorunlarına neden olan dışarıdan
alınan bir maddedir. Metoksiklor (MXC) yaygın olarak kullanılan organoklorür
bir pestisittir. Bu araştırmanın amacı, MXC uygulaması ile oluşturulan
oksidatif stresin karaciğer ve böbrek dokusu üzerinde meydana getirdiği
değişiklikleri tespit etmektir.Wistar
albino sıçanlar üç gruba ayrıldı. Deney gruplarına 10 ml susam yağı içinde 8
mg/kg ve 16 mg/kg intraperitoneal olarak 20 gün verildi. Dokular genel
histolojik yapıyı görmek amacıyla Hematoksilen-Eozin (H&E)
ve Periyodik Asit Schiff (PAS) ile boyandı.
Apoptotik hücreleri belirlemek amacıyla TUNEL yöntemi kullanıldı.Düşük dozdan yüksek doza doğru
sinüzoidal açıklıklarda genişleme ve hepatositlerin ışınsal diziliminde
düzensizlikler gözlendi. Deney gruplarında bazı hepatositlerde çekirdeğin
kaybolduğu, vakuol görünüm aldığı, bazılarında ise iri ve heterokromatik yapıda
olduğu gözlendi. Deney gruplarının böbrek dokularında, proksimal kıvrıntılı
tübüllerin lümeninde genişleme, fırçamsı kenar kaybı ve glomerul boşluğunda
genişleme gözlendi.

Artan dozlarda MXC’ye maruziyetin
böbrek ve karaciğer dokusunda oksidatif stres meydana getirdiği belirlendi.
TİYENİL-TİYAZOL-ARİL-TİYOÜRE HİBRİT MOLEKÜLLERİN SENTEZİ VE BİYOLOJİK AKTİVİTELERİNİN APOPTOTİK YOL ÜZERİNDEN ANTİ-KANSER ETKİLERİNİN ARAŞTIRILMASI
Authors: DOĞAN Şengül Dilem , UĞUR Sümeyye , KARABOĞA ARSLAN Ayşe Kübra , ÖZTÜRK Ebru , CUMAOĞLU Ahmet , YERER Mükerrem Betül
Published: September 2019

Tiyenil-tiyazol-aril-tiyoüre
türevleri (4a-4e) amino-4-(2-tiyenil)tiyazol ve fenilizotiyasiyanatların
reaksiyonları sonucu sentezlenmiştir. Sentezlenen bileşikler IR, 1H-NMR
ve kütle spektrumları ile karekterize edildi. Beş tiyoüre türevinin
anti-proliferatif etkileri A549 (KHDAK) hücrelerinde gerçek zamanlı hücre
analizörü xCELLigence sistemi ile incelendi. Gerçek zamanlı sistemde sitotoksik
olduğu gösterilmiş olan 2 tiyoürenin moleküler etki mekanizmaları,
mitokondriyal membran potansiyeli ΔψM spektrofotometrik olarak, sitokrom c
western blot methoduyla ve Bcl-2 ise qRT-PCR ile araştırılmıştır. 4e
diğerlerinden daha etkili bulunmuştur. 4e
IC50 değerleri 24 ve 48 saat için sırasıyla 29,6 µM ve 22,3 µM
olarak hesaplanmıştır. Bir triflorometil (-CF3) grubunu içeren 4e
molekülü bir anti-kanserojen madde olarak düşünülebilir ve daha ileri
araştırmalar yapılabilir.0000-0003-1761-188X
Sosyal Etkileşim Alanı Olarak Üniversite Kampüsünde Tasarlanan Kafeterya; Green House
Authors: POLAT Hasan , AKYILDIZ Nihal Arda
Published: September 2019

Sosyal yaşam için mekân düzenleme çeşitliliklerine alternatif olarak planlanan kafeteryalar, toplumsal hayata sunduğu etkileşim ve iletişim ortamlarıyla önemli katkı sunmaktadır. Her toplumun bulunduğu coğrafya, gündelik yaşam talepleri, kültürel ve sosyal yapıya bağlı olarak biçimlenen kafeler açık ve kapalı mekân alternatifleriyle hemen her yaş grubu için sosyal yaşamımızın her seviyesinde toplumsal yaşamımızın ayrılmaz parçalarıdır. Çalışma konumuz olan kafeteryaların üniversite kampüslerinde pek çok kültür, etnik yapı ve düşünceye sahip genç yaş grubunun sosyal hayatını yakından etkileme kapasitesi nedeniyle incelenmiş olup, Fırat Üniversite kampüsü için projelendirilmiş ve uygulanmıştır. Kampüs içinde doğal çevresiyle birlikte tasarlanması gereken gündelik yaşamda etkileşim, karşılaşma ve kaynaşma araçsallarından olan kafeteryaların, kampüsün doğal çevresine saygılı, kampüs kullanıcılarının taleplerini karşılayabilecek proje sunumuyla konuya katkı sağlamak hedeflenmiştir.Sosyal yaşam için mekân düzenleme çeşitliliklerine alternatif olarak planlanan kafeteryalar, toplumsal hayata sunduğu etkileşim ve iletişim ortamlarıyla önemli katkı sunmaktadır. Her toplumun bulunduğu coğrafya, gündelik yaşam talepleri, kültürel ve sosyal yapıya bağlı olarak biçimlenen kafeler açık ve kapalı mekân alternatifleriyle hemen her yaş grubu için sosyal yaşamımızın her seviyesinde toplumsal yaşamımızın ayrılmaz parçalarıdır. Çalışma konumuz olan kafeteryaların üniversite kampüslerinde pek çok kültür, etnik yapı ve düşünceye sahip genç yaş grubunun sosyal hayatını yakından etkileme kapasitesi nedeniyle incelenmiş olup, Fırat Üniversite kampüsü için projelendirilmiş ve uygulanmıştır. Kampüs içinde doğal çevresiyle birlikte tasarlanması gereken gündelik yaşamda etkileşim, karşılaşma ve kaynaşma araçsallarından olan kafeteryaların, kampüsün doğal çevresine saygılı, kampüs kullanıcılarının taleplerini karşılayabilecek proje sunumuyla konuya katkı sağlamak hedeflenmiştir.
Meme Kanseri Histopatalojik Görüntülerinin Konvolüsyonal Sinir Ağları ile Sınıflandırılması
Authors: TALO Muhammed
Published: September 2019

Meme kanseri, dünya çapında kadınlar arasında en fazla ölümün görüldüğü kanser türüdür. Meme kanseri imgelerinin bilgisayar destekli sistemler yardımıyla hızlı ve doğru bir şekilde sınıflandırılması hayati önem arz etmektedir. Bu çalışmada, meme kanseri imgelerini iyi ve kötü huylu olarak sınıflandırmak için ResNet-50 mimarisi önerilmiştir. Evrişimsel Sinir Ağı tabanlı ResNet-50 mimarisi kullanılarak, açık kaynak BreakHis veri setindeki, meme kanseri imgelerinin ikili sınıflandırılması gerçekleştirilmiştir. ResNet-50 mimarisinin eğitiminde transfer öğrenme yöntemi uygulanmıştır. Önerilen modelin sınıflandırma başarısının, literatürdeki mevcut çalışmalara kıyasla daha yüksek olduğu gözlemlenmiştir. Ayrıca önerilen model, meme kanseri imgeleri üzerinde herhangi bir ön işleme yapmadan verileri otomatik olarak sınıflandırmaktadır.
Kompozit Yama ile Tamir Edilmiş V-Çentikli Levhaların Burkulma Davranışı: Üç Boyutlu Sayısal Yaklaşım
Authors: SAYLIK Ahmet , KAMAN Mete Onur
Published: September 2019

Bu
çalışmada, kompozit yama ile tamir edilmiş beş farklı V-çentik boyutuna sahip
alüminyum ve kompozit levhaların burkulma davranışı sayısal olarak
incelenmiştir. Çentikli levhalara tek taraflı ve çift taraflı yama olmak üzere
iki farklı tipte tamir işlemi uygulanmıştır.
Yama
malzemesi olarak; aynı takviye açısına sahip dört tabaka çapraz örgü karbon
fiber ve epoksi yapıştırıcıdan oluşan tabakalı kompozit seçilmiştir. Levha
malzemesi olarak ise alüminyum ve aynı yama malzemesinden üretilmiş kompozit
kullanılmıştır. Üç boyutlu olarak hazırlanan sonlu eleman modeli kullanılarak
tamirli kompozit levhalarda kritik burkulma yükleri hesaplanmıştır.  Levhaların çentik boyut değişimine göre
kritik burkulma yük analizleri tek ve çift taraflı tamir yöntemi için
yapılmıştır. Çentik derinlik artışının,
genişliğe göre burkulma yükü üzerinde daha etkili bir parametre olduğu
görülmüştür. Ayrıca kompozit levha ya da yamadaki fiber takviye açılarının
artışı levha mukavemetini düşürmüştür.
EVA Bazlı Reçine Modifiyeli Bitümlü Karışımların Mekanik Özellikler Bakımından SBS Modifikasyonu ile Karşılaştırılması
Authors: FURTANA Beyza , YALÇIN Erkut , KÖK Baha Vural , YILMAZ Mehmet
Published: September 2019

Yol esnek üstyapısında kullanılan bitümlü kaplama tabakaları trafiğin ve çevrenin etkilerine direk maruz kalan ve dolayısıyla mekanik özellikler bakımından oldukça sağlam olması gereken en üst tabakadır. Bitümlü sıcak karışım tabakalarının artan trafik yükü ve sayısına uzun süre deforme olmadan direnç gösterebilmesi için, yaygın bir şekilde karışımın içinde kullanılan bağlayıcı bitümlü malzeme, Stiren-Butadien-Stiren (SBS) polimer katkı maddesiyle modifiye edilmektedir. SBS’e olan talebin fazla olması, gerektiği zamanda temin edilmesini zorlaştırmakta ve dolayısıyla alternatif katkı maddelerinin kullanımı gündeme getirmektedir. Bu çalışmada Etilen-Vinyl-Acetate (EVA) bazlı reçinenin (EBR) bitümlü karışımlarda kullanılmalarının mekanik özelliklere etkisi araştırılmış ve SBS modifikasyonu ile performansı karşılaştırılmıştır. Saf ve modifiye karışımlara Marshall stabilite ve akma, indirek çekme mukavemeti, indirek çekme rijitlik modülü, indirek çekme tekrarlı yükleme ve dinamik sünme deneyleri uygulanmıştır. Sonuçta EBR modifikasyonunun saf karışımlardan önemli derecede daha iyi performans özelliklerine sahip olduğu ve SBS modifikasyonuna yakın bir performans gösterdiği tespit edilmiştir.
Mikroçoğaltımla Üretilmiş Fesleğenin (Ocimum basilicum L.) Tepsili Kurutucuda Kuruma Karakteristiğinin Belirlenmesi
Authors: TOPDEMIR Aykut
Published: September 2019

Bu çalışmada mikroçoğaltım ile in vitro ortamda elde edilen, tıbbi ve aromatik öneme sahip Ocimum basilicum L. türüne ait bitki örneklerinin tepsili kurutucuda kuruma karakteristiği incelenmiştir. Tarımsal ürünlerin hasat sonrası işlemlerinin başında kurutma gelmektedir. Özellikle tıbbi ve aromatik öneme sahip olan bitkiler kurutma proseslerine tabi tutulmaktadır. Endüstriyel proseslerde kurutucu olarak tepsili kurutucu yaygın olarak kullanılmaktadır. Deneyler 3 farklı sıcaklık (30-50 °C) ve 3 farklı akış hızında (0.5-1.5 m/s) 3 tekrarlı olacak şekilde gerçekleştirilmiştir. Deneyler sonucunda, mikroçoğaltımla üretilmiş Ocimum basilicum L örneklerinin azalan hız periyodunda kuruma sergilediği gözlenmiştir. Düşük sıcaklıklarda hava akış hızının difüzyon katsayısına etkisinin olmadığı, fakat yüksek sıcaklıklarda artan hava hızı ile difüzyon katsayısının arttığı belirlenmiştir. Çalışılan tüm hava hızlarında artan sıcaklıkla beklenildiği gibi difüzyon katsayısının arttığı sonucuna ulaşılmıştır.
PARTIAL SEQUENCES OF THE GENE THAT CODIFIES FOR THE TRANSCRIPTION FACTOR VPHSFB1 IN Vasconcellea pubescens. FIRST REPORT
Authors: Arizala-Quinto E. D. , Viteri G. , Idrovo-Espín F.M.
Published: September 2019

Plant heat stress transcription factors (HSFs) are involved in the response to heat. In Arabidopsis thaliana the HSFs genes are completely identified, however there was no information available about these genes in Vasconcellea pubescens (Chamburo) until now. In this preliminary work we describe the VPHSFB1 gene of V. pubescens (gene expression evaluated by RT-PCR and the partial sequence) that was induced by the increment of temperature. From our results, VPHSFB1 could be used as a heat response marker gene in tropical species.

Key words: Caricaceae, gene expression, heat.
QUANTITATIVE CRITERIA FOR VALIDATION OF ELECTROENCEPHALOGRAM NEUROFEEDBACK TRAINING PROTOCOL: A PILOT STUDY ON NEUROPATHIC PAIN
Authors: Hasan Muhammad Abul , Fraser Matthew , Qazi Saad Ahmed
Published: September 2019

Neurofeedback (NF) training has been used for the treatment of neuropathic pain. This paper presents the results of assessment of the learning ability of five patients having neuropathic pain. The following two types of baselines were adopted: Baseline 1 refers to power on Day 1 in PreNF state; and Baseline 2 refers to power recorded on each training day in PreNF state. The result of the study demonstrated that not only the baseline its selection is also important to demonstrate the validity of training protocol. It was also found that Baseline 2 can be used to define cut-off time for training (when training should be stopped). All five patients can be classified as learner and alpha band was found to be most relevant for NF training.
INVESTIGATION OF EFFECTS OF DIELECTRIC TYPE AND POLARITY ON ELECTRIC DISCHARGE MACHINING OF AISI D2 STEEL USING RESPONSE SURFACE METHODOLOGY
Authors: Hanif Muhammad , Ahmad Wasim , Hussain Salman , Jahanzaib Mirza
Published: September 2019

This paper presents a study on optimisation of process parameters of die-sinking electric discharge machining. The influence of dielectric type, electrode polarity, discharge current and gap on the material removal rate (MRR) and surface roughness for machining of AISI D2 steel have been studied. Response surface methodology suggested in the existing literature was employed for conducting the experiments. Kerosene and transformer oils were found as the best dielectric for MRR and surface roughness, respectively. It was also found that electrode with positive polarity offers high MRR while negative polarity ensures best surface finish. ANOVA results indicated that discharge current was the most influencing factor affecting the performance measures, MRR and surface roughness. Although discharge gap showed low effect on MRR and surface roughness, it was effective for debris removal. Empirical models were developed to optimise the results of MRR and surface roughness.
Atlas information system for providing socio-economic development of the Baikal region
Authors: Batuev Aleksandr , Batuev Dashi , Beshentsev Andrey , Bogdanov Viktor , Dashpilov Tsirenzhap , Korytniy Leonid , Tikunov Vladimir
Published: September 2019

Determined is that the Baikal region is gaining importance due to the initiatives of the Silk Road. Since the Baikal basin has a special nature management regime, information support in the form of large cartographic atlases of complex content is to play a primary role in studies of acute and complex problems of ecologically and economically balanced development of the Baikal region, in solving these problems and in managing this development. The paper proves the need for new methodological tools for analyzing, structuring and integrating environmental-geographic information into a single integrated and multi-level atlas information system of the Baikal region. It is shown that in order to make optimal management decisions, there is a need in an infrastructural approach to the integration of territorial information and computing resources based on the Internet, a service-oriented paradigm, Web technologies, and the implementation of Open Geospatial Consortium standards for Web services is needed. Three atlases of the Baikal region are considered. The first of them is the Ecological Atlas of the Lake Baikal Basin, published in 2015 in Russian, Mongolian and English languages and was made publicly available on the Internet on the geoportal of the Baikal Information Center. The second — “Ecological Atlas of the Baikal region” placed on the geoportal of the Institute of System Dynamics and Control Theory of the SB RAS in 2017. Since 2017 we are working also on the atlas “Baikal Region: Society and Nature”. The structure, content and methodological features of the preparation of all three atlases are analyzed.
Potential conflicts of nature management in the Nenets Autonomous District
Authors: Evseev Aleksandr , Krasovskaya Tatiana , Chereshnia Olga
Published: September 2019

A map presenting areas of potential nature management conflicts risks at the territory of the Nenets Autonomous Okrug (region) (NAO) was compiled. Nowadays this region experiences fast economic development foreseen by the Arctic Doctrine of the Russian Federation which includes economic development in different spheres. The 8 basic development zones were mentioned in the Doctrine, one- at the territory of NAO. Development strategy plans include careful nature management and complex approach to economic development tasks realization. This is of vital importance regarding the following: low ecosystems resilience to anthropogenic disturbances, presence of traditional nature management lands of indigenous peoples, pulls of regulating and supporting ecosystem services of microregional dimensions. These facts demonstrate importance of nature management potential risks spatial analysis for territories of pioneer development in NAO.

Several big investments projects are planned for NAO for the nearest future. The larger part of investments into NAO economy (97 %) are connected with hydrocarbons extraction development. Priorities concern industrial nature management development (mainly mineral resources extraction), transport nature management (Indiga and Amderma sea ports, railways connecting with neighbor regions, pipe-lines arrangement). Original method of nature management conflicts analysis and mapping was used. It was based on revealing of potential competing exploitation of ecosystem services regulating, production, cultural. System analysis and mapping methods were used as well. The revealed areas of potential nature management conflicts must be taken into consideration during territorial management plans development.
Estimation of Streamflow with Incomplete Soil Dataset in Krasioa Basin Using Soil-Landscape Evaluation Approach and SWAT Model
Authors: Kakarndee Isared , Kositsakulchai Ekasit
Published: September 2019

Data on soil properties are indispensable for process-based hydrological modeling. Soil information of Thailand is primarily provided by the Land Development Department (LDD), nevertheless soil property data are available only in arable land whose slope is less than 35%. The steep-slope land was generally labeled as Slope Complex (SC), there is no information available. This paper demonstrated the application of soil-landscape evaluation approach for predicting the missing properties of soil which resulted on enhancement of model performance in streamflow estimation in Krasioa Basin by the Soil and Water Assessment Tool (SWAT) model. The physical properties of soil-soil thickness, fraction of soil particles (clay, sand, organic matter) were predicted using the Soil-Landscape Estimation and Evaluation Program (SLEEP). The additional properties of soil including bulk density, hydraulic conductivity, and available water content were estimated using the pedo-transfer functions (ROSETTA). It was found that SLEEP model could provide consistent information on physical properties of soil. The SWAT model performance in streamflow simulation at the Krasioa Reservoir was improved using the proposed approach. Appropriate model inputs can generate reasonable output. Model performance can further be improved by calibration.
FORMATION AND REALIZATION OF SOCIO-ECONOMIC POLICY IN MICROREGION ON DECENTRALIZATION
Authors: Kachan Yevhen , Kotsur Andrii
Published: September 2019

The article outlines the main factors of the formation and implementation of regional policy at the micro-region level in order to ensure the proper economic capacity of the territorial community.
In the conditions of decentralization, the local self-government bodies are almost independent and fully responsible for the state of socio-economic development of communities.
The main factors that should be taken into account in the development of socio-economic regional policy at the level of the united territorial communities are the following: the state of the regional labor market development; the state of use of internal regional factors for the development of productive forces; the state of the road infrastructure; social needs of the region population.
It is necessary to implement the regional policy of the united territorial communities for the sake of solving complex problems on the basis of the development strategy of this community, in particular with a view of ensuring the financial autonomy and economic capacity.
In the developing of the socio-economic development strategy of the microregion, the main principles should be: focusing on the needs and interests of people living in the microregion; longterm vision of the territory development; a comprehensive and holistic approach of solving current problems; grounding on a comprehensive analysis of the status of local regional development; active and effective public participation.
The key components of the socio-economic development strategy of the micro-region should be: assessment of its resource potential; analysis of the demographic situation in the microregion; analysis of labor potential and its employment; modern state of micro-region economic development; study of the state infrastructure available to it; a generalized analysis of the socio-economic situation in the microregion and challenges in the future; priority directions of microregion
development; regional micro-region development programs.
Lime Based Dry Mixes with Carbonate Aggregates
Authors:   Dr. Sci. Tech., Professor, Saint Petersburg State University of Architecture and Civil Engineering, Saint-Petersburg, Russia, Pukharenko* Y.V. , Kharitonova T. V. ,   PhD-student, Saint Petersburg State University of Architecture and Civil Engineering, Saint-Petersburg, Russia.
Published: September 2019

The use of carbonate rocks as aggregates for cement concretes and mortars is limited due to their insufficient strength and the threat of corrosion. The use of quarry dust from crushing carbonate rocks are technically and economically feasible in building compositions based on air-hardening lime. The results of the study of the effect of replacing a part of quartz sand in lime mortar by limestone and dolomite fine aggregates on the basic physical and mechanical properties of lime mortars for restoration are presented in the paper. The matrix of planning experiments, which allows increasing the informativity of the research results in order to reduce the number of experiments in the search for optimal values, is proposed. The efficiency of replacement of the quartz sand with quarry dust of carbonate rocks in the production of dry mixes for restoration is shown.
Towards Improving Offline Signature Verification Based Authentication Using Machine Learning Classifiers
Authors:   Research Scholar, Department of Computer Science Engineering , M. M (D.U), Mullana,Ambala, Kumari* Kamlesh , Rana Dr.Sanjeev ,   Professor, Department of Computer Science Engineering , M. M (D.U), Mullana,Ambala
Published: September 2019

Signatures have been accepted in commercial transactions as a method of authentication. Digitizing credentials reduce the storage space requisite for the same information from a few cubic inches to so many bytes on a server. The most frequent use of offline signature authentication is to reduce the turnaround time for cheque clearance. In this paper, machine learning classifiers are used to verify the signature using four image based features. BHsig260 dataset (Bangla and Hindi) has been used. We used signatures of 55 users of Hindi and Bangla each. .Six classifier i.e. Boosted Tree, Random forest classifier (RFC), K-nearest neighbor, Multilayer Perceptron, Support Vector Machine (SVM) and Naive Bayes classifier are used in the work. In the paper, the results of Writer independent model show that accuracy of Hindi off-line signature verification is 72.3 % using MLP with the signature sample size of 20 and that of Bangla is 79 % using RFC with the signature sample size of 23.In user dependent model, for some users, we achieved accuracy of more than 92 % using KNN and SVM.
Leadership Technology in the Context of Society Informatization
Authors:   Russian State Social University, Moscow, Russia, Avtsinova Galina Ivanovna , Ganyushina Margarita Anatolyevna ,   Russian State Social University, Moscow, Russia, Istomina Milada Mikhailovna ,   International Institute of Economics and Law, Moscow, Russia
Published: September 2019

The purpose of this article is improving leadership technology in the context of society informatization. Theoretical and methodological basis of the study includes an abstract-logical method, methods of induction, deduction, analysis, synthesis, and systematization, used to substantiate the socio-economic aspects of leadership, as well as graphics methods to study the leadership development level and trends in the context of society informatization. Studies indicate that there are significant differences in the satisfaction level between staff members and managing business leaders holding executive position, i.e. in cases, where the roles of business leader and executive were performed by a single person, as well as staff members with subordinating business leaders, i.e. in cases, where the roles of business leader and executive were performed by different persons. While for staff member teams with business leaders holding executive positions, the average satisfaction score is 3.929, i.e. is very close to satisfactory, for teams with subordinating business leaders, the average satisfaction score is equal to 2.807, i.e. remains within the nonsatisfactory gradation. Additional facts in favor of the proposed hypothesis consist in a fact that in the teams, where executives lead in the business sector not only on the aspects of business leadership in general, having the highest total score, but also for each of aspects individually, the satisfaction indicators are the highest in the sample, equal to four or more points. At the same time, the least satisfaction was noted in the teams, where executives had a relatively low business status. The study has revealed that leadership in the future can be a stimulus for communication, activity, and formation of certain interpersonal relations in the context of society informatization.
Modeling the Activities of Internet Companies by Using Innovative Processes
Authors:   Plekhanov Russian University of Economics, Moscow, Russian Federation., Kiseleva Irina Anatolievna , Lebedeva Irina Sergeevna ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Gasparian Mikhail Samuilovich ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Karmanov Mikhail Vladimirovich ,   Plekhanov Russian University of Economics, Moscow, Russian Federation., Kuznetsov Vladimir Ivanovich ,   Plekhanov Russian University of Economics, Moscow, Russian Federation.
Published: September 2019

The article is devoted to the urgent theme of the modernity – modeling the activities of Internet companies, whose main task is to run efficient business. The main purpose of this article is to define the basic regularities that determine the peculiarities of risk assessment in business as the main element that contributes to achieving the economic security of an organization, as well as to explain the choice of the optimal model for integrating a company into the information business. In the article the information business models have been analyzed, the areas of information commerce, factors for the efficient implementation of business models, and the attractiveness of the online market have been considered. The possibilities of using new online technologies in intracompany processes and communications in advertising and other commercial activities of the company have been assessed.
Thermophysical Characterization of Earthen Materials Using the Flash Method
Authors:   Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco., Chihab Yassine , Garoum Mohammed ,   Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco, Laaroussi Najma ,   Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco
Published: September 2019

This work deals with the analytical solution of the rise temperature history on the back face of the unfired clay bricks related to the theoretical model of flash method, was calculated using Duhamel theorem. The local sensitivity analysis of the obtained solution shown that the sensitivity coefficients related to the thermal diffusivity and the adiabatic limit temperature meets the beck criterion for low time range, so these tow parameters can be simultaneously estimated with a good accuracy in this time range. Due to the slow convergence of the analytical solution in short times, the procedure for estimating the thermophysical properties is relatively slow. The theoretical analytical solution has therefore been replaced by an equivalent solution whose convergence speed was improved using the Wynn Epsilon method. The apparent thermal diffusivity and the adiabatic limit temperature of samples were then estimated by fitting measured rise temperature with the equivalent analytical solution. It is interesting to note the good agreement between the theoretical model with predicted values of parameters and the experimental data.
Spatio -Temporal Long-Term Variability and Trend Analysis of Precipitation and Temperature Series in the Ghataprabha (K3) Sub basin of Krishna Basin
Authors:   Dept. of Water & Land Management, Visvesvarayya Technological University, Belagavi, India,, Nagendra  , Patil Nagraj S. ,   Dept. of Water & Land Management, Visvesvarayya Technological University, Belagavi, India,, M Nataraj ,   Dept. of Water & Land Management, Visvesvarayya Technological University, Belagavi, India,, Shashikanth Kulkarni ,   School of Civil Engineering, Osmania University, Telangana, India
Published: September 2019

Changing Climate is one of the most significant ecological issue, with the implications for agricultural production, water resource, energy and some other aspects of human well-being. Analysis of changing climate is important to assess climate-induced changes through the analysis of variability of climatic parameters such as temperature, precipitation, runoff and groundwater to suggest feasible adaptation strategies. This paper aims the long-term variability of rainfall and temperature using gridded daily data obtained from India Meteorological Department with 0.250 resolution from 1901-2016 for precipitation and 10 resolution from 1969-2005 for temperature (re-gridded to IMD 0.250 gridded location) in Ghataprabha sub basin (K3) of Krishna basin. The analysis of variability and trend in precipitation and temperature carried out by using coefficient of variation (CV), rainfall and temperature anomaly and also Mann-Kendall (MK) test was used to detect the time series trend. Statistical analysis of variability and trend in annual, Indian Summer Monsoon (ISMR) rainfall and temperature observed that i) there is an intra and inter annual variability of precipitation in the sub basin ii) test results revealed that the annual and ISMR trend appears to be increased by 0.12 & 0.14, iii) the Mann-Kendal trend test also analysed for annual minimum, mean and maximum temperature over the K3 sub basin (1969-2005) shows increasing trend by 0.06, 0.21 and 0.40. This analysis revealed that, there is an increasing trend in annual rainfall and temperature observed over the study region.
Optimizing and Load Balancing for Flash Crowd to Improve Quality of Service in Content Delivery Network
Authors:   Research Scholar, MMICT&BM (MCA), Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India., Gupta Meenakshi , Garg Atul ,   Associate Professor, MMICT&BM (MCA), Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India.
Published: September 2019

The online access has been increasing rapidly with the digitization of information, cheaper Internet service and affordable devices to access the Internet. This entails for not only handling increasing number of web requests but also meeting Quality of Service (QoS) requirements of end-users. Content Delivery Network (CDN) system is used to make better the performance of origin server by storing the popular contents on surrogate servers. The contents are disseminated to the web users through surrogate servers. The performance of CDN system relies on the selection of appropriate surrogate server to satisfy end-users’ requests. The proposed method named Load Balancing using Neighbors and Utility Computing (LBNUC) takes into account requests arrival rate, load on surrogate servers, end-users’ changing demand and capacity of surrogate servers. The aim is efficient utilization of CDN resources to minimize the time required to serve end-users requests and the cost of servicing requests. This method is also effective in handling of flash crowd situation by monitoring request rate. It handles this situation with support from neighbor surrogate servers and arranging additional resources, if required, through utility computing to meet QoS requirement of end-users.
Secured and Dynamic Decentralized Computational Offloading Framework for Mobile Cloud Computing
Authors:   Research Scholar, SCSVMV, Kanchipuram, Tamil Nadu, India., AL Shanthi , V. Ramesh ,   Asst Professor, SCSVMV, Kanchipuram, Tamil Nadu, India.
Published: September 2019

Mobile Cloud Computing is represented as an advanced mobile computing technique by integrating with resource rich servers of various clouds and networks towards infinite mobility, computation, functionality and storage in favour to overcome the restrictions of mobile devices. Mobile Cloud Computing is a platform where storing and processing of data are performed away from mobile devices and processed in the cloud and bringing back results to mobile device to improve the capabilities of mobile devices. The main objective of this study is to minimize response time and to improve the battery performance of mobile devices. In this research, an intelligent secure and dynamic decentralized framework is proposed which will provide accurate decision for execution environment for the application either local or at cloud using SENN classifier and DCNN Model. Modified Fuzzy C Means Clustering algorithm is put forward to create alike clusters for the profiler parameters information collected by smonitor. Moreover, the proposed framework provides more security by encrypting the input image data while transferred to cloud server using blowfish technique can protect the application data from threats. The test results in simulation environment proved that SDCNN framework achieved significant performance by minimizing the consumption of energy and execution time by offloading computation intensive task to clouds.
Minimization of Mutual Coupling in Arrays using Cross-shape EBG
Authors:   Assistant Professor in VR Siddhartha Engineering College, Vijayawada, India., Kudumu Vara Prasad , Mokkapati Venkata Siva Prasad ,   Professor in R V R & JC College of Engineering and Technology, Guntur, India.
Published: September 2019

In current scenario, the utilization of Electromagnetic Band Gap (EBG) has increased tremendously in microwave engineering. Mutual Coupling (MC) is a significant constraint to be measured in antennas specialization when used with arrays. Electromagnetic Band-Gap (EBG) is a well-known procedure applied in microwave and RF region due to its inherent bandgap feature at predefined frequency. MC arises due to surface currents excited on printed arrays whenever the substrate thickness ℇr > 1. By incorporating EBG in between array elements, various parameters like bandwidth, gain, radiation pattern, directivity, and current distribution can be improved based on the design parameters. Compactness and patch area reduction can be achieved through suitable unit cells of EBG structures. A patch performance is effective with better radiation characteristics and good return loss provided the operating frequency fall within the operating frequency of the unit-cell of the EBG. The unit cell can be constructed depending on the reflection phase, dispersion diagram. In this, a cross-EBG is used to enhance the MC between the arrays. The Cross EBG size is 6.3mm x 6.3mm. The antenna resonates at 5.8GHz WLAN range.
Moving Object Detection and Tracking under Different Occlusion Conditions in Video Sequences
Authors:   Research Scholar, Department of CSE, JNTUH, Hyd, India., Nelikanti Arjun , Karuna Dr. G. ,   Professor, Department of CSE, GRIET, Hyderabad, India., Reddy Dr. G. Venkata Rami ,   Professor, Department of CSE, SIT, JNTUH, Hyderabad, India.
Published: September 2019

This paper proposed a novel method for the detection and tracking of hand-thrown object in a video sequence in real time sports events. This paper mainly aimed to detect regions of the object in a set of outdoor and indoor videos in different occlusion conditions, and used Kalman filter to detect object on different trajectories over a fixed time window. This approach proved that the thrown object is successfully detected in various cases under occlusion and non-occlusion conditions with different backgrounds. To evaluate the accuracy, two different types of performance evaluations metrics are used based on object detection and tracking. The results shows that significant performance, the average accuracy of the object detecting is 97.89% and tracking is 98.35%.
Three Phase Five Level T-Type Multi Level Inverter using Hybrid Sources
Authors:   Research Scholar in Department of EEE, Faculty of Engineering & Technology, SRMIST, and Chennai, India., G Ramya. , Sathyanathan P. ,   Assistant Professor in Electrical and Electronics Engineering, Veltech, Avadi, Chennai, India., Karthikeyan A.G. ,   Assistant Professor in St. Joseph College of Engineering, Chennai, India., Selvamanikandan R. ,   Assistant professor in Electrical and Electronics Engineering Department, St.Joseph College of Engineering, Chennai, India., Suresh P. ,   scholar at Annamalai university, Chidambaram, India
Published: September 2019

This paper presents a 5 level T-type multilevel inverter, to improve the performance of the hybrid system and then improved voltage is injected into the grid. Two three level inverter with common emitter and common collector configurations are combined to obtain a five level inverter. PV and wind energy is used as a source of energy to the five level T-type MLI. It has advantages such as low switching losses, lesser THD, less filter requirement and superior output quality when compared to 3-level T-type MLI. PWM technique is employed to generate output voltage. The Simulation is done using MATLAB Simulink.
Nutrition Monitoring and Calorie Estimation using Internet of Things (IoT)
Authors:   Ph.D. Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Tamil Nadu, India, Sathyapriya S. , Arockiam Dr. L. ,   Associate Professor Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli, Tamil Nadu, India
Published: September 2019

Diet observation is one of the principal aspect in precautionary health care that aims to cut back varied health risks. The various recent advancements in smartphone and wearable sensing element technologies have paved way to a proliferation of food observation applications that are based on automated image processing and intake detection, with an aim to beat drawbacks of the standard manual food journaling that's time overwhelming, inaccurate, underreporting, and low adherent. The currently developed food logging methods are very much time consuming and inconvenient that limits their effectiveness. The proposed work presents an Internet of Things (IoT) based mobile-controlled calorie estimation system to make technical advancements in healthcare industry. The proposed system operates on mobile environment, which allow the user to acquire the food image and quantify the calorie intake mechanically. The Mqtt protocol based MyMqtt broker is used to connect the application and the edge device and also to store the data in the Thingspeak cloud. A deep convolutional network is employed to classify the food accurately within the system. The volume estimation is done using sensors and the calorie approximation is done using formula.
Smart Energy Meter For Iot Applications
Authors:   ADEETC, Instituto Superior de Engenharia de Lisboa and Instituto de Telecomunicações, Lisbon, Portugal., Fortes Fernando , Fialho Vítor ,   ADEETC, Instituto Superior de Engenharia de Lisboa and Centre of Technology and Systems, Lisbon, Portugal.
Published: September 2019

as domestic electrical energy consumption keeps increasing, consumers become more aware of energy usage and efficiency because of economic and environmental reasons. The energy meter described in this paper is aimed at household smart metering for better energy management. The meter system uses a single microcontroller to acquire mains voltage and current waveforms and calculate power parameters: RMS voltage and current, instant power, power factor and energy. These parameters are stored locally on memory card for long period standalone recording, or transmitted in real time using an IoT Long Range radio for instant readings or short period monitoring. Measurement data of electrical power usage of a typical family household and energy consumption is presented where domestic appliance patterns are identified over an operating period. These patterns enable the estimation of energy usage distribution among appliances.
Effect of Particle Damping Technique on 1 kW Wind Turbine Blade using 3 mm Balls
Authors:   Department of Mechanical Engineering, Genba Sopanrao Moze College of Engineering, Pune, India., Sandanshiv Santosh R , Chavan Umesh S ,   Department of Mechanical Engineering, Vishwakarma Institute of Technology, Pune, India.
Published: September 2019

Particle damping technique is first time use for study of vibration suppression in 1 kW wind turbine blade for using change of percentage fill of particles parameter. External container is attached on blade and fills the container using three different percentage changes as 10, 50 and 90 using 3mm spherical ball size. Blade is mounted at root location on electromagnetic shaker and accelerometer is located randomly on blade at 600 mm position from tip of blade. With damping results are compared with without damping and finding out the cases where vibration suppression takes place.
Irrigation Water Use Services Model Based on the Water Optimization
Authors:   Doctoral Program on Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, INDONESIA., Purwadi Hanugerah , Limantara Lily Montarcih ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, INDONESIA., Suhartanto Ery ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, INDONESIA., Rispiningtati  ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, INDONESIA.
Published: September 2019

Various efforts to improve the welfare of the community have become the priority of government programs currently, especially in providing food by encouraging the development of the irrigation sector. The decline in water resources both in terms of quantity and quality also make a triggers the problem of water distribution when there is an imbalance between demand and supply. The desire among farmers to obtain water immediately may cause problems in how to distribute water fairly and equally. Sempor Irrigation System (5.888 ha) also deal with water distribution problems especially during the dry season. The purpose of this research is to determine the water distribution system based on water optimization therefore the irrigation performance can be measured more precisely. Meanwhile, the methodology is uses descriptive research method on fields’ irrigation research. The results of this study will be obtained a irrigation water use services model.
H.265 Intra-Picture Prediction Acceleration using Low Complexity Model
Authors:   Department of Computer Engineering, Datta Meghe College of Engineering, Maharashtra, India., Pawar Chhaya Shishir , Sawarkar Dr.Sudhir Deoraoji ,   Department Of Computer Engineering, Datta Meghe College of Engineering, Maharashtra, India.
Published: September 2019

H.265 also called High Efficiency Video Coding is the new futuristic international standard proposed by Joint collaboration Team on Video Coding and released in 2013 in the view of constantly increasing demand of video applications. This new standard reduces the bitrate to half as compared to its predecessor H.264 at the expense of huge amount of computational burden on the encoder. In the proposed work we focus on intraprediction phase of video encoding where 33 new angular modes are introduced in addition to DC and Planar mode in order to achieve high quality videos at higher resolutions. We have proposed the use of applied machine learning to HEVC intra prediction to accelerate angular mode decision process. The features used are also low complexity features with minimal computation so as to avoid any additional burden on the encoder. The Decision tree model built is simple yet efficient which is the requirement of the complexity reduction scenario. The proposed method achieves substantial average encoding time saving of 86.59%, with QP values 4,22,27,32 respectively with minimal loss of 0.033 of PSNR and 0.0023 loss in SSIM which makes it suitable for acceptance of High Efficiency Video coding in real time applications