bluuebunny/crossref_metadata_2025 huggingface dataset:
Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines
Authors: Baur Jasper , Steinberg Gabriel , Nikulin Alex , Chiu Kenneth , de Smet Timothy S.
Published: March 2020

Recent advances in unmanned-aerial-vehicle- (UAV-) based remote sensing utilizing lightweight multispectral and thermal infrared sensors allow for rapid wide-area landmine contamination detection and mapping surveys. We present results of a study focused on developing and testing an automated technique of remote landmine detection and identification of scatterable antipersonnel landmines in wide-area surveys. Our methodology is calibrated for the detection of scatterable plastic landmines which utilize a liquid explosive encapsulated in a polyethylene or plastic body in their design. We base our findings on analysis of multispectral and thermal datasets collected by an automated UAV-survey system featuring scattered PFM-1-type landmines as test objects and present results of an effort to automate landmine detection, relying on supervised learning algorithms using a Faster Regional-Convolutional Neural Network (Faster R-CNN). The RGB visible light Faster R-CNN demo yielded a 99.3% testing accuracy for a partially withheld testing set and 71.5% testing accuracy for a completely withheld testing set. Across multiple test environments, using centimeter scale accurate georeferenced datasets paired with Faster R-CNN, allowed for accurate automated detection of test PFM-1 landmines. This method can be calibrated to other types of scatterable antipersonnel mines in future trials to aid humanitarian demining initiatives. With millions of remnant PFM-1 and similar scatterable plastic mines across post-conflict regions and considerable stockpiles of these landmines posing long-term humanitarian and economic threats to impacted communities, our methodology could considerably aid in efforts to demine impacted regions.
The Potential of Multi-Species Mixtures to Diversify Cover Crop Benefits
Authors: Chapagain Tejendra , Lee Elizabeth A. , Raizada Manish N.
Published: March 2020

Cover crops provide a range of well-documented benefits to growers and the environment. However, no single species can deliver all of these benefits, and hence planting mixtures is gaining increasing attention. To the best of our knowledge, there is no comprehensive review on different multi-mix strategies. This article reviews available studies on multi-mixes, focusing on temperate North America, and discusses objective criteria for selecting components of a multi-mix and what future research is needed. Very few peer-reviewed studies on multi-mixes are currently available; a diversity of species compositions is being tested with a wide range of potential benefits but also with various limitations. Selection of species in multi-mixes is based on different criteria that help improve multiple ecosystem services. An emerging concept is the importance of selecting cover crop species with functional complementarity rather than simply increasing the number of species. Based on this concept, objective criteria have been developed to select the species for a multi-mix: grower objectives/primary purpose of planting the cover crop, crop rotation and cropping system compatibility, above and belowground compatibility, complementarity of different ecosystem functions, compatibility with the growing environment, duration for cover crop growth, termination option(s) available, input/labour costs, planting equipment required, persistence/weediness, and potential net economic returns. We propose a step-wise procedure to develop effective multi-species mixtures. The number of species and their ratio in the mixtures will depend on objective criteria, and hence long-term research is required to assess different species compositions and their impacts.
A New Simplified Model and Parameter Estimations for a HfO2-Based Memristor †
Authors: Mladenov Valeri
Published: March 2020

The purpose of this paper was to propose a complete analysis and parameter estimations of a new simplified and highly nonlinear hafnium dioxide memristor model that is appropriate for high-frequency signals. For the simulations; a nonlinear window function previously offered by the author together with a highly nonlinear memristor model was used. This model was tuned according to an experimentally recorded current–voltage relationship of a HfO2 memristor. This study offered an estimation of the optimal model parameters using a least squares algorithm in SIMULINK and a methodology for adjusting the model by varying its parameters overbroad ranges. The optimal values of the memristor model parameters were obtained after minimizing the error between the experimental and simulated current–voltage characteristics. A comparison of the obtained errors between the simulated and experimental current–voltage relationships was made. The error derived by the optimization algorithm was a little bit lower than that obtained by the used methodology. To avoid convergence problems; the step function in the considered model was replaced by a differentiable tangent hyperbolic function. A PSpice library model of the HfO2 memristor based on its mathematical model was created. The considered model was successfully applied and tested in a multilayer memristor neural network with bridge memristor–resistor synapses
THE NEW DIMENSIONS FEATURES OF SPIRITUALITY IN THE POST-SOVIET EDUCATIONAL SPACE
Authors: Tsybulko Olga
Published: March 2020

The article deals with the peculiarities of new dimensions of spirituality in the post-Soviet educational space. Particular attention is paid to the analysis of secular and religious (Orthodox) pedagogy. The article reveals the patterns of spiritual development in the post Soviet educational space.
8º Congresso Multidisciplinar de Saúde Comunitária do Mercosul
Authors: ANPEPP Grupo de Trabalho em Saúde Comunitária da
Published: March 2020

Acontece nesta semana o 8 Congresso Multidisciplinar de Saúde Comunitária do MERCOSUL em São Paulo, na Universidade Paulista (UNIP)

Os congresso se desenvolvem a cada dois anos em forma de rodízio entre os quatro países do MERCOSUL (Argentina, Uruguai, Paraguai e Brasil) e tem como finalidade desenvolver a consciência da importância do fortalecimento comunitário na sua contribuição através das práticas culturais e ancestrais do cuidado da saúde, e das novas descobertas sobre a promoção da saúde, a frugalidade como estilo de vida, a resistência ao consumismo, e o afastamento a práticas de medicalização excessivas e da dependência do arcabouço médico que leva a anulação da participação do paciente. A Comunidade deve ser a protagonista da promoção de sua própria saúde e assumir responsabilidade por ela, abrangendo o cuidado com o meio ambiente e as relações na sua comunidade, assim como propor políticas públicas de saúde comunitária e fortalecimento das redes comunitárias.

Se reúnem nesse Congresso 10 convidados internacionais do MERCOSUL e outros 10 convidados nacionais especialistas no tema da Saúde Comunitária de diferentes áreas do conhecimento.
Who Holds the Power for Change?
Authors: Wynne Thomas Tarurongo
Published: March 2020

Is the indigenisation of an organization possible if we have not first acknowledged the machinery that has ensured and sustained indigenous people, their thought, their ways and their world view, subjugated for another and considered less than if not of little or any value, and especially when we consider the realm of academia and education.Maybe before we consider the opportunity for Indigenisation, we first consider the question as to whether we can have meaningful engagement without first deconstructing the Masters house, but can we effectively do this with the same master’s tools that built it.  Meaning can those that hold power be the ones that determine how and where and with whom this power should then be shared. Should this sharing be initiated by the same system that created disparity or instead by those who were diminished because of it?Who has the power to inculcate indigenization into a dominant culture; the system and power that created the space between our worlds, or the people who have maintained their existence despite the historical and real power structures that continue to this day to strip self-determination from indigenous communities?
From Collective Consent to Consultation Platform: An Experience of Indigenous Research Ethics in Makota’ay
Authors: Hsieh Jolan , Chang Ena Ying-Tzu , Lakaw Sifo
Published: March 2020

In 2015, six organisations, including the Makota’ay Community Development Association, Hualien Tribal College (HTC), and the project team of Dynamics of Eastern Taiwan in the New Century at National Dong Hwa University (NDHU) co-signed a Memorandum of Understanding (MoU) at Makota’ay, a Pangcah2 tribal community on the east coast of Taiwan. The MoU establishes a community-focused interactive paradigm that aims towards collaboration in the promotion of indigenous education. By agreeing upon the MoU, the parties become partners in research. This moved research away from conventional paradigm where Indigenous peoples are subjects, and put Makota’ay’s input and aspirations towards constructing local knowledge at the centre of the multilateral relationship. One of the purposes of the MoU is to enact Article 21 of The Indigenous Peoples Basic Law, which mandates that research involving indigenous peoples should obtain the consent of the individual, and collective consent of the indigenous community.
UMĚLÁ INTELIGENCE V MEDICÍNĚ A ETIKA
Authors: Hendl Jan
Published: March 2020

Umělá inteligence (UI) zahrnuje oblasti jako strojové učení (ML), pravidly určené rozhodování, zpracování přirozeného jazyka a robotiku. Potencionální využití má snad ve všech oblastech medicíny. Uměla inteligence může hrát roli v diagnostice, v klinickém rozhodování a personalizovené medicíně. Aplikace umělé inteligence a robotiky se uplatňují také při rozšiřování fyzických možností člověka.Nicméně, zmíněné nové technologie kladou před nás i etické otázky, na které se hledají odpovědi, protože v možnostech prostředků UI je ohrožení preferencí, bezpečnosti a soukromí pacientů. Příspěvek pojedná základní body této diskuse. Disku-se o etických otázkách aplikací UI má vést k tomu, aby lékaři, další ošetřující personál a pacienti více rozuměli těmto aspek-tům UI. Získané poznatky mají umožnit realisticky odhadnout, co UI může nebo nemůže vykonat v procesu péče o pacienta.
REPREZENTACE A INTERPRETACE VÝSLEDKŮ GENETICKÉHO VYŠETŘENÍ: NÁVRH SYSTÉMU PERSONÁLNÍ GENETICKÁ KARTA
Authors: Huptych Michal , Lhotská Lenka
Published: March 2020

V tomto příspěvku bychom chtěli popsat prvky potřebné ke komplexní a v klinické praxi využitelné reprezentaci výsledků genetického vyšetření. Tuto reprezentaci využíváme v návrhu systému pracovně nazvaném Personální genetická karta, který je připravován v rámci spolupráce CIIRC ČVUT a firmy Mediware a.s. Genetické informace jsou v posledních letech stále častěji uvažovány v medicínských procesech i v oblastech, které nejsou přímo napojeny na lékařskou péči, ale se zdravím úzce souvisí, jako je např. nutriční poradenství. Velkým tématem je správné využití genetických informací ve vhodné formě. Z dosavadních zkušeností vyplývá, že samotné genetické vyšetření je pouze začátkem a je nutné k němu připojit také informace z něho vy-plývající, jako jsou například predispozice k chorobám, známé metabolizace léků či intolerance k různým látkám – jinými slovy klinickou interpretací a doporučeními, které by měly být nedíl-nou součástí komplexní reprezentace genetického vyšetření. Pro ukládání informací genetické vyšetření existuje několik široce používaných databází, jako jsou např. HGNC, NCBI RefSeq, NCBI dbNSP, HGVS a další. Struktura reprezentace genetické in-formace by měla umožňovat provázání těchto kódování s odka-zem na příslušný zdroj kódu a získává tak zároveň i informace a znalosti obsažené v těchto databázích. Jako vhodný slovník pro popis měření a výsledku genetické analýzy se ukazuje být řízený slovník LOINC® (www.loinc.org), který představuje ověřený způsob reprezentace klinických a laboratorních analýz a je využíván v mnoha zemích světa. Tento systém umožňuje velmi komplexní reprezentaci genetického vyšetření. V oblasti interpretací genetických vyšetření existuje také již několik ucelených databází jako jsou např. PharmGKB, která se zaměřuje primárně na farmakogenetiku. Právě v oblasti farmak-ogenetiky je přínos využívání genetické analýzy nejvíce patrný a má vysoký potenciál. Proto jsou naše záměry namířena hlavně do oblasti farmakogenetiky a jejího provázání s farmakokine-tikou a farmakodynamikou za účelem co nejlepší administrace léků a minimalizace rizik.
VYUŽITÍ POČÍTAČOVÝCH 3D MODELŮ ANATOMIE ČLOVĚKA
Authors: Kulhánek Tomáš , Brož Martin , Kofránek Jiří
Published: March 2020

Počítačové 3D modely anatomie člověka jsou podkladem řady výukových materiálů a aplikací. Příspěvek uvede příklad konstrukce realistického 3D modelu vybraných částí anatomie z volně dostupných dat získaných z databáze BodyParts3D. Tato data opatřena texturou a případně upravena slouží jako podklad pro webovou aplikaci projektu "Simulátor Virtuálního Pacienta", který v anatomickém kontextu slouží pro výuku vy-braných fyziologických regulací.
ZVYŠOVÁNÍ ZDRAVOTNÍ GRAMOTNOSTI
Authors:   Národní lékařská knihovna, Lesenková Eva , Bouzková Helena ,   Národní lékařská knihovna, Surá Alexandra ,   Národní lékařská knihovna
Published: March 2020

NLK v roce 2019 organizovala pilotní semináře pro knihovníky, jejichž tématem byla podpora zdravotní gramotnosti občanů ČR. Cílem seminářů bylo motivovat veřejné knihovny ke spolupráci, a také nalézt a vyzkoušet vhodný způsob, jak podporovat a propagovat zdravotní gramotnost prostřednictvím sítě veřejných knihoven.
DIGITALIZACE FONDŮ A SBÍREK V NÁRODNÍ LÉKAŘSKÉ KNIHOVNĚ A MOŽNOSTI JEJICH ZPŘÍSTUPNĚNÍ
Authors: Maixnerová Lenka , Kříž Filip
Published: March 2020

Národní lékařská knihovna (NLK) od roku 2008 digitalizuje ze-jména starší monografie a periodika, které jsou ohrožené rozpa-dem nekvalitního kyselého papíru, poškozené častým používá-ním nebo nevhodným uložením. Zpřístupnění digitalizovaných dokumentů se řídí Autorským zákonem. Volná díla, na něž se nevztahují autorská ani nakladatelská práva, jsou zpřístupněna online. Autorsky chráněná díla, která jsou chráněna autorskými či nakladatelskými právy - 70 let od úmrtí autora a 50 let od vydání, noviny a časopisy 70 let od vydání - lze prohlížet a tisk-nout pouze lokálně na počítačích v NLK. NLK zpřístupňuje di-gitalizovaná díla prostřednictvím Digitální knihovny NLK, která je provozována v open source systému Kramerius. Celkem je nyní v Digitální knihovně NLK 1 705 415 digitalizovaných stran, z nichž 753 562 stran je volně přístupných.V letošním roce knihovny v ČR nabídnou uživatelům novou službu, tzv. zpřístupnění děl nedostupných na trhu, které je umožněno díky novele autorského zákona z roku 2017. Pro-střednictvím této služby budou moci uživatelé přistupovat k dosud nedostupným digitalizovaným knihám a časopisům, a to nejdříve z knihoven, které se ke službě připojí, a následně i vzdáleným přístupem. Uživatelé tak získají přístup ke knihám, které nejsou dostupné na trhu 6 měsíců, a k periodikům starším 10 let.V roce 2019 využilo Digitální knihovnu NLK přes 48 tisíc uži-vatelů, kteří si prohlédli přes 107 tisíc digitalizovaných stran. Obsah Digitální knihovny NLK je možné prohlížet na počítačích, tabletech i mobilních zařízeních. Digitalizované dokumenty NLK jsou též integrovány do České digitální knihovny, která zpřístupňuje digitalizovaný obsah českých knihoven z jednoho místa.
BEZPEČNOST DAT A BIG DATA V BIOMEDICÍNĚ
Authors: Berger Jiří , Kofránek Jiří
Published: March 2020

V dnešní době je patrný trend digitalizace zdravotnických ar-chivů a související dokumentace, nastává tedy čas na zapojení technologií označovaných Big Data v oblasti biomedicínské informatiky. Tyto technologie nabízí rychlejší a efektivnější zpra-cování a sdílení obrovského množství dat. Vzhledem k tomu, že zdravotní péče pracuje s velmi citlivými daty, je jedním z hlav-ních zájmů ochrana dat pacientů. V mnoha zemích probíhá programové zavádění elektronizace zdravotní péče. Například v USA probíhá „Health Information Technology for Economic and Clinical Health Act“, (HITECH). Cílem výzkumu je návrh a de-finice pravidel, která zamezí zneužití a únikům citlivých biome-dicínských dat. Současně však v minimální míře omezí efektivitu jejich zpracování a kvalitu výstupních dat. Hromadnost zpra-cování osobních a citlivých dat se postupně stává obrovským rizikem a současně příležitostí pro nastavení pravidel a procesů vedoucí k minimalizaci, či dokonce eliminaci těchto rizik. Big Data skrývají obrovský potenciál pro výzkum v oblasti biomedicíny v mnoha oblastech ať již při analýze segmentace pacientů, cen a výsledků léčby, kde umožní zjistit zdravotně a cenově nejefektivnější postup léčení pro konkrétního pacien-ta a také například v proaktivní identifikaci pacientů, u nichž by se vyplatila zdravotnická prevence. Principiálně jsou Big Data použitelná k tomu, aby z analýzy výskytu chorob bylo možné dělat epidemiologické závěry a navrhovat preventivní opatření, mohou pomáhat při detekci a minimalizaci pokusů o podvody ve zdravotnictví a veřejném zdravotním pojištění a také přiná-šejí příležitost spolupráce s farmaceutickými společnostmi tak, aby pro ně bylo snazší identifikovat skupinu relevantních paci-entů pro klinické testy (za předpokladu předchozího souhlasu pacientů a dodržení etických norem).Článek si bere za cíl vysvětlit rozdílné přístupy a oblasti bezpečnosti v souvislosti s hromadným zpracováním dat ať již z pohledu bezpečnosti databázových dat jako celku, zamezení možnosti nepřímého získávání konkrétních údajů z neanony-mizovaného nebo i anonymizovaného souboru dat a z oblasti netriviálního dotazování.
Identifying Critical 21st-Century Skills for Workplace Success: A Content Analysis of Job Advertisements
Authors: Rios Joseph , Ling Guangming , Pugh Robert , Becker Dovid , Bacall Adam
Published: March 2020

This article extends the literature on 21st-century learning skills needed for workplace success by providing an empirical examination of employers’ direct communication to potential employees via job advertisements. Our descriptive analysis of 142,000 job advertisements provides two contributions. First, this is one of the first studies to empirically rank-order skill demand. In doing so, it is clear that oral and written communication, collaboration, and problem-solving skills are in high demand by employers, with particular emphasis on the pairing of oral and written communication. Furthermore, it is apparent that many of the skills suggested in the literature as being critical for workplace success are in very low demand by employers, and some were not found to be mentioned at all (e.g., social responsibility). Second, this study explicitly examined whether 21st-century skill demand varied by job characteristics, which was found to be the case, with differences being noted for both education level and degree field requirements. Results were replicated with a sample of roughly 120,000 job advertisements collected 1 year from the initial data collection. Implications for developing educational standards around 21st-century skill development are discussed.
ТЕОРІЇ ВИНИКНЕННЯ МИСТЕЦТВА В ДОСЛІДЖЕННЯХ ДРУГОЇ ПОЛ. ХІХ – ПЕРШОЇ ПОЛ. ХХ СТ.
Authors: Бондарчук Ярослава
Published: March 2020

Зроблено порівняльний аналіз теорій походження мистецтва, викладених у працях учених др. пол. ХІХ – першої пол. ХХ ст. Простежується залежність розвитку їх основних ідей від світоглядних переконань їх авторів, а також від накопичення археологічних артефактів, аналіз яких дозволяв зробити відповідні теоретичні висновки. Виявлено їх значення для подальшого вивчення первісного мистецтва як відображення початкового етапу духовної еволюції людства.
ЖАНРОВО-СТИЛЬОВІ ОСОБЛИВОСТІ КАМЕРНО-ВОКАЛЬНОЇ ТВОРЧОСТІ І. МАРТОНА
Authors: Мусієць Леся , Берец Наталія , Хомин Світлана
Published: March 2020

Досліджено камерно-вокальну творчість українського композитора І. Мартона, з ім’ям якого пов’язана професіоналізація музичної культури Закарпаття другої пол. ХХ ст. На основі аналітичної характеристики обробок народних пісень та збірки солоспівів зроблено висновок, що вони виявляють ознаки пізньоромантичної та неокласичної стилістики, які розкриваються у ладо-гармонічній мові (опора на тритонові інтонації, зменшені септакорди, енгармонічні модуляції), образному змісті (переважання у циклі лірико-драматичних, елегійних, ліричних мініатюр), формі (куплетно-варіаційна; невелика за масштабами, струнка). В обробках народних пісень автор орієнтується на фольклорні зразки. Незначні зміни у ладо-тональному й фактурному аспектах надають їм самобутніх рис.
ФЕНОМЕНОЛОГІЧНА СУТНІСТЬ ГРИМУ ЯК СКЛАДНОГО СТРУКТУРНО-ФУНКЦІОНАЛЬНОГО УТВОРЕННЯ
Authors: Медведєва Валентина
Published: March 2020

Досліджується грим як самостійний факт мистецтва, котрий володіє знаковою природою й низкою смислових функцій; осмислюється значення гриму в театральній структурі в якості такого, що сприяє трансляції художньої інформації на витонченому рівні, з почуттями, що дозволяє глядачеві бути не лише причетним до представленої історії, а створює необхідне «занурення» в атмосферу сценічної дії; окреслюється феноменологічна сутність гриму як складного структурно-функціонального утворення.
Rivalidad geopolítica entre las potencias marítimas de España y Gran Bretaña en la costa noroeste del Pacífico en el siglo XVIII
Authors: Zapata Huamán Sergio Anibal
Published: March 2020

Entre los siglos XVII y XVIII ocurrieron dos grandes procesos de la historia marítima. Primero, el incremento del comercio entre el Virreinato deNueva España y el Virreinato del Perú por la Mar del Sur (como parte del triángulo marítimo entre Manila-Acapulco- El Callao) que floreció pese a las restricciones de la Corona española y que posteriormente sucumbió tras la promulgación del Reglamento del libre comercio en 1778 y el segundo que fue el declive paulatino en las esferas económicas y navales del dominio español sobre sus posesiones en Hispanoamérica, mientras se acentuaba la tendencia del ascenso del poder marítimo británico que se consolidó en el Atlántico, luego de la Guerra de los 7 años, que le permitió proyectarse en el Pacífico, tras la exitosa expedición marítima de James Cook a finales del siglo XVIII. En ese escenario, donde los intereses de empresas rusas y británicas se adentraban en la zona del Noroeste de las Costas Novohispanas, atraídos principalmente por el comercio de pieles de nutria, las fuerzas navales para contener las incursiones de las potencias marítimas europeas que buscaban una presencia más permanente con fines de explotación comercial y científica.
Enhancing the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques
Authors:   Department of Computer Science and Engineering, Faculty of Engineering and Technology, Jadavpur University, Kolkata, West Bengal., Das Arijit , Saha Diganta ,   Professor of the Department of Computer Science and Engineering in Jadavpur University.
Published: March 2020

To know the information from the internet searching is one of the most important part for any user. In case of ‘Syntactic Search’ keyword based matching technique is used. Search accuracy is improved applying the filter like location, preference, user-history etc. However, it can happen that the user query or question and the best available answer or result in the internet domain has no terms in common or ignorable number of terms is common. In such case syntactic search cannot give the desired output. The role of ‘Semantic Search’ becomes prevalent in this scenario. The execution of semantic search faces challenge due to unavailability of resources like WordNet, Ontology, Annotation etc. An end to end algorithm is described to improve the accuracy of the semantic search in this work. Four classification techniques are used. They are ANN, Decision Tree, SVM and Naïve Bayes. Dataset is provided from the TDIL project of the Ministry of Electronics and IT, Govt. of India. The repository contains 86 categories of text having more than a million sentences. After getting the impressive result for the Bengali language test run was done for other Indian languages and a very good result is achieved. This research is extremely useful for the automatic question answering system, semantic similarity analysis, e-governance and m- governance.
Road Detection from Satellite Images using Matlab
Authors:   Computer Science Department, Ghaziabad, India, Sukanya  , Dubey Gaurav ,   Abes Collage, Computer Science Department, Ghaziabad, India
Published: March 2020

Roads are the most significant piece of transportation framework. The framework incorporates the auxiliary and spatial information, surface and unearthly data with the systems picture combination, picture characterization and numerical changes. In this task, we create a framework to remove streets utilizing numerous satellite pictures. The street extraction data can be utilized to make guides, plan new streets and keep up existing ones. The removed streets and the data on the condition and the nature of streets can together assistance the organizers and the organization to realize the street portions that need support This significance prompted numerous attempts to extricate street from satellite pictures and picture mining. In this paper, we attempted to remove streets in a thick urban region by utilizing of picture mining strategies. Because of ghastly likeness of urban items in thick regions, there is no affirmation to distinguish the urban articles appropriately dependent on otherworldly data. In this way in current work, it is meant to exploit two informational indexes including Lidar information and aeronautical pictures.
Prevention of Accidents using Automated Railway Crossing System
Authors:   Dept. of CSE, GITAM University, Bengaluru, India., Tukkoji Chetana , R Mahidhar ,   Dept. of CSE, GITAM University, Bengaluru, India., V Mahesh Krishna ,   Dept. of CSE, GITAM University, Bengaluru, India., D Shashank ,   Dept. of CSE, GITAM University, Bengaluru, India., S Vedanth ,   Dept. of CSE, GITAM University, Bengaluru, India.
Published: March 2020

Railways is the most prominent mode of transport across the country, which reaches every corner of the country. Accidents have been a major headache to the Indian Railway. Accidents that have been occurring at the railway crossing is increasing marginally at a higher rate. Therefore, new technology needs to be considered that is reliable, effective and functional for automatic railway gate closure. This Automatic railway gate crossing is an IR sensors based system. This system is implemented using IoT technology. Whenever the train base is sensed by the IR sensor (placed at around 1.5 km distance away from the railway gates) the microcontroller (Arduino Nano) activates the closure of gates that are connected to the driver circuit operated by DC motors. This system also detects obstacles(vehicles) using IR sensors (placed at the railway gates) that are preventing the closure of railway gates and alerts the train accordingly, then the train is mechanically slowed down or stopped if necessary. This system is developed to be a fail-proof system to avoid accidents at the railway crossing.
Smart Street Lighting Detecting Vehicle and Pedestrian Movement Aiming for Sustainable Bhutan
Authors:   Lecturer, Electrical Engineering Department, Jigme Namgyel Engineering College, Dewathang, Bhutan., Karchung  , Tenzin Zepa ,   Electrical Engineering Department, Jigme Namgyel Engineering College, Dewathang, Bhutan., Tenzin Sonam ,   Electrical Engineering Department, Jigme Namgyel Engineering College, Dewathang, Bhutan., Tobgay Sonam ,   Electrical Engineering Department, Jigme Namgyel Engineering College, Dewathang, Bhutan., Gyeltshen Dorji ,   Electrical Engineering Department, Jigme Namgyel Engineering College, Dewathang, Bhutan.
Published: March 2020

An energy crisis is global issue nowadays. Bhutan however, does not realize it being blessed with good geographical and demographical diversity. It is high time that Bhutan realize the need of energy conservation technique. The electrical energy is wasted unnecessarily which starts from keeping the mobile charger plugged in the socket when not in use to lamps keeping ON in streets throughout day and night. People don’t seem to care but monitoring it for better conservation benefit has become crucial in underdeveloped countries like Bhutan whose source of energy is limited to hydropower only. Wind and solar generations are feasible but the energy cost per unit would be very high due to high initial cost. A case study conducted within the college campus revealed tremendous savings a college can make just by replacing conventional compact fluorescent lamp (CFL) with light emitting diode (LED). Therefore, the best option for Bhutan and Bhutanese people is to take better care of the existing energy sources and use it judiciously. This paper proposes a method to monitor and control the street/compound lighting in a smarter way. The two types of sensors are employed. The light dependent resistor (LDR) is used to monitor the intensity or brightness of surrounding and passive infrared (PIR) sensor is employed for detecting infrared source. The sensor output is processed and monitored by the PIC16F877A microcontroller. Moreover, the incandescent lamp and the compact fluorescent lamp will be replaced by LED lamps. The project aims to reduce power consumption in Bhutan through proposer control of street/compound lighting so as to have better economy of the country by exporting more unit of energy to neighboring country.
Integrated Query Data Communication using Arti Q System for Placement Cell Automation
Authors:   Department of Electronics and Communication Engineering, Sri Krishna College of Technology (SKCT), Coimbatore, Tamil Nadu, India, S Karthika , S Marshia Theras ,   Department of Electronics and Communication Engineering, Sri Krishna College of Technology (SKCT), Coimbatore, Tamil Nadu, India, K Mukesh ,   Department of Electronics and Communication Engineering, Sri Krishna College of Technology (SKCT),Coimbatore, Tamil Nadu, India
Published: March 2020

Maintaining database of students in colleges is being an issue for placement cell since the data is maintained online and it is difficult to get access the system. Hence come up with idea of maintaining a database in offline method using a integrated ARTI-Q system which is using simple tools like Microsoft visual studio(version 2008) as front end and Microsoft SQL server(version 2005) as back end. The main aim of this project is to move packets from source to destination without an internet connection. Packets will only communicate through the assistance of base stat ions in which they are transmitted as Unicode transmission. The high transmission baud rate 115200 is set to increase the transmission. The program must aim to consolidate all divisions and roles across a college into a centralized database that can meet specific needs of all those departments. The information about campus interview will be sent to the placement officer and he will put information about the drive in the server. The system will check criteria from database for the list of individuals meeting the company criteria and the information will be sent to non-placed students.
Stochastic Modelling of an Aircraft Considering the Possibility of Precautionary Landing Due to Fuel Filter Clogging
Authors:   Assistant Professor of Mathematics, S. J. K. College, Kalanaur, Rohtak, Haryana, India, Singh Gurvinder , Taneja Gulshan ,   Professor, Department of Mathematics, M. D. University, Rohtak, Haryana, India.
Published: March 2020

The present work deals with the stochastic and cost - benefit analysis of a helicopter taking into account the situation of precautionary landing caused by blockage in its fuel - filter. The system has been analysed by developing a model and finding the various indices of system effectiveness like mean time to filter clogging, expected up (flying) time, expected number of precautionary landings etc. The regenerative point technique has been used for the purpose. The obtained measures have been further used to analyse the profit generated by the system. Graphical study of the proposed model has also been done. The suggested methodology finds its application in commercial aviation sector.
A Correlative Scrutiny on two Programming Dialects: RUBY Vs PYTHON
Authors:   BCA- MES College Erumely, Kottayam, Kerala, India., Chandran Sarath , Abraham Kochumol ,   Assistant Professor of MCA department at Marian college, Kuttikanam.
Published: March 2020

The two most dominant rising programming dialects in reality, Ruby and Python have many features in common. High-level object-oriented coding, interactive shell, standard libraries, persistence support are some of the common features of Python and Ruby. However, both vary in their approach to solve problems because of their syntax and uses. Power of a language is based on the libraries and popularity defines the frameworks that have been used. This research paper primarily focuses on the frameworks and libraries of Ruby and Python. Ruby on Rails is one of the most powerful framework of Ruby and Django for python. Python is used for many purposes beyond web development such as data science and machine learning computations. A spike in popularity is seen for both Ruby and Python but still the question of “which to be opted” for developing an application becomes a query most of the times. Hence, this research scrutinizes both Ruby and Python in terms of framework and libraries.
CROWDBC A Blockchain Base Decentralized Framework for Crowdsourcing
Authors:   Assistant Professor, Department of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India., Jayashree J. , Snehith Ch. J. V. S. ,   Department of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India., Venkat K. ,   Department of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India., Chaitanya P. ,   Department of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India., Vijayashree J. ,   Assistant Professor, Department of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India.
Published: March 2020

Due to lack of server reliability and user data privacy encryption of data is required before the cloud is outsourced. We have found a compromised method within the blockchain in order to perform a keyword search which is secured on data that is encrypted against malicious service providers and users in cloud. SSE: Privately offers the cloud storage used in symmetric search encryption (SSE) systems, which cannot be regarded as a true cloud. The cloud service is also known to be credible. Let us start by emphasizing the importance of data storage within a public chain. The client is allowed by system to upload them in form which is encrypted, data content is distributed to the nodes of cloud and make sure that the data is available through encryption techniques. Presentation of a blockchain based system for providing the keyword search service with secure storage of distributed data. TKSE performs verifiability on server side so that true cloud servers are protected from being posed by owners of malicious data in the data storage process. Furthermore, technology of blockchain and hash functions are used to allow payment which is fair without third parties involvement for research fees, although if cloud or user is harmful. Our review of security and evaluation of performance show that TKSE is efficient and safe and be suited for cloud computing.
Emergence and Functionality of 3D Videos
Authors:   Research Scholar, G. H . Raisoni College of Engineering and Management, Pune, India & Assistant Professor, Bharati Vidyapeeth’s College of Engineering for Women, Pune, India, Shamalik Rameez Muneer , Koli S. M. ,   Research Supervisor, G. H . Raisoni College of Engineering and Management, Pune India & Professor, Dept. of E&TC, Dr. D. Y. Patil School of Engineering, Charholi(Bk.), Pune, India
Published: March 2020

Millions of videos are created and watched every day. Quality of desired video plays a significant role in modern day applications. Deep fake videos have alarmed the established institutions while amused others. A Three-dimensional(3D) stereoscopic film or a 3D Video for that instance is a motion picture that enhances the illusion of depth perception, hence adding a third dimension. 3D videos can effortlessly validate and secure the authenticity of communication and broadcast process due to their auxiliary effect. In this research paper we attempt to observe and analyze numerous measures taken towards initiation and rise of 3D videos along with their efficacy from an end user perspective.
Generating an Audio and Text for Indian Sign Language
Authors:   Assistant professor, Sri Krishna College Of Technology, Tamilnadu., R Renjitha. , D Rubashree. ,   B.E, Electronics and Communication Engineering, Sri Krishna college of Technology, Coimbatore., V Priya. ,   B.E, Electronics and Communication Engineering, Sri Krishna college of Technology, Coimbatore., C Preetha. ,   B.E, Electronics and Communication Engineering, Sri Krishna college of Technology, Coimbatore.
Published: March 2020

Every normal people have the ability to observe and respond to the environment. Nearby are several unlucky persons who doesn’t encompass this principal blessing. Deaf and Dumb people have to communicate with normal people, it’s a challenging task. Sign Language is designed for deaf and dump people to convey message to the society. Sign Language Recognition is a technology which is used to identify human gestures with the help of Arduino uno. Gesture recognition based on the corresponding gesture symbol produces an audio & text output. The flex sensor is used to recognize the hand gestures. Recognized gesture is transferred to the Arduino uno and the output is generated. By using these techniques we can implement an efficient audio & text output for physically challenged people. Our technology consists of glove which will be worn by dumb people to communicate with normal people. The proposed prototype could also serve as an intermediate between deaf and dump people and normal people in everyday life such as bank or post office. The output will be displayed using LCD and also produces a speech signal.
Automatic Yarn Cut Detection in Power Loom using Iot
Authors:   Assistant Professor, Department of EEE, Kongu Engineering College, perundurai Tamil Nadu, India., Prithivi K. , Thenmozhi S. ,   Department of EEE, Kongu Engineering College, perundurai, Tamil Nadu, India., Vanathi K. R. ,   Department of EEE, Kongu Engineering College, perundurai Tamil Nadu, India., Gokulakrishnan R. ,   Department of EEE, Kongu Engineering College, perundurai Tamil Nadu, India., Praveen N. ,   Department of EEE, Kongu Engineering College, perundurai Tamil Nadu, India., Sivachitra M. ,   Professor, Department of EEE, Kongu Engineering College, perundurai Tamil Nadu, India.
Published: March 2020

Textile trade has occupied second place next to agriculture. Due to the increase in population growth, textile trade in today's world is growing in plenty. A power loom is one of the main advances within weaving industrialization. It employs the country's more than thirty-five million people. Trade's main objective is to know its high-productivity power. The biggest downside which a textile trade is facing is that once the thread is cut the material gets broken. This results in the production of unnecessary cloth. The designed system is meant in such a simple way that it stops the device and avoids damage. This uses Raspberry pi 3 as the primary principal unit. The proposed system uses AC to DC Rectifier, A / D Converter and raspberry pi to signify automatic yarn cut detection in a loom. Using raspberry pi, this device mainly aims to detect the yarn cut in a loom. In this paper, the use of a single controller controls four power looms. Once the yarn cuts, the fault is detected, the supply may cut off immediately and then the fault is corrected.
Modeling, Analysis and Optimization for the Biodiesel Production Process from Waste Cooking Oil
Authors:   Petroleum Refining and Petrochemical Engineering, Suez University, Faculty of Petroleum and Mining Engineering, Suez, Egypt., Shehata Walaa Mahmoud , Mokhtar Ahmad Mohamed ,   Department of Technology and Development. Nasr Petroleum Company, Suez, Egypt.
Published: March 2020

The present study proposed a rigorous model using detailed kinetics reaction for the alkali transesterification of waste cooking oil with methanol and Alkali Catalyst (NaOH). Aspen Plus software is used. The results showed that the rigorousness of the model helps in predicting more realism and accurate result. The effect of different parameters on the process like temperature, pressure, residence time, methanol to oil ratio, and catalyst (NaOH) weight percentage were studied. All the studied parameters have significant effect on the process performance except pressure. Optimization of the process also carried out to find the best conditions for maximum profit and maximum production. The optimization results showed that the reaction temperature decreased from 60 to 45 ° C, the reaction time decreased from 60 to 49 minutes, the molar ratio of methanol/oil increased from 6:1 to 7.2:1 mole ratio and the catalytic concentration decreased from 1 to 0.25 wt%.
Asynchronous Coordination of Distributed Mixed-Integer Linear Subsystems via Surrogate Lagrangian Relaxation
Authors: Bragin Mikhail , Yan Bing , Luh Peter
Published: March 2020

With the emergence of Internet of Things that allows communications and local computations, and with the vision of Industry 4.0, a foreseeable transition is from centralized system planning and operation toward decentralization with interacting components and subsystems, e.g., self-optimizing factories. In this paper, a new “price-based” decomposition and coordination methodology is developed to efficiently coordinate subsystems such as machines and parts, which are described by Mixed-Integer Linear Programming (MILP) formulations, in a distributed and asynchronous way. To ensure low communication requirements, exchanges between the “coordinator” and subsystems are limited to “prices” (Lagrangian multipliers) broadcast by the coordinator, and to subsystem solutions sent to the coordinator. Asynchronous coordination, however, may lead to convergence difficulties since the order in which subsystem solutions arrive at the coordinator is not predefined as a result of uncertainties in communication and solving times. Under realistic assumptions of finite communication and solve times, convergence of our method is proved by innovatively extending Lyapunov Stability Theory. Numerical testing of generalized assignment problems through simulation demonstrates that the method converges fast and provides near-optimal results, paving the way for self-optimizing factories in the future.
How genetic sequence data can guide vaccine design
Authors: Sohail Muhammad Saqib , Quadeer Ahmed Abdul , Mckay Matthew R.
Published: March 2020

Vaccines have saved more lives than any other medical intervention throughout human history by preventing the spread of infectious diseases. However, despite several decades of research, there is no effective vaccine against fast evolving viruses such as the human immunodeficiency virus (HIV) and the hepatitis C virus (HCV). A confounding factor in the development of a HIV or HCV vaccine is that these viruses have a unique ability to make a lot of mutations in their genetic code. This enables them to escape the human immune system while retaining their ability to propagate infection. For developing a vaccine against such viruses, scientists are developing novel strategies which seek to target specific parts of the virus that are most vulnerable (i.e., where it is difficult for the virus to survive mutations) in order to induce a focused and potentially effective immune response. To determine the existence and location of such parts of HIV and HCV, initial studies have leveraged recently-available sequence data for these viruses, and looked for those positions in the genome for which the frequency of mutation was lowest. Unfortunately, vaccines based on such first-order statistics have not enjoyed much success, and there is increasing evidence suggesting that interactions between mutations is also important and must be considered when designing an effective vaccine against HIV and HCV. It is almost impossible to determine effects of interactions between all mutations experimentally as it requires performing billions of experiments. In this article, we explain how by leveraging virus sequence data, mutational interactions can be estimated using statistical techniques and incorporated in designing novel and potentially effective vaccine strategies against such fast-evolving viruses.
PTFI Big Gossan Mine - Ventilation Design to Support the New Stope Sequence Strategy
Authors: Diaz Z , Sulistiyo E , Sani R
Published: March 2020

Big Gossan (BG) mine is an open stope mine operated by PT Freeport Indonesia(PTFI). This mine started its development in 2006. Currently, the mine consists of 9 active levels, each level is designed with about 1 km footwall drift East-West. The production initiated in 2009, but the mine was temporarily shut down due to a company decision. Lately the mine has been re-activated since 2017 and will be pushed into its peak production in 2019, with 7000 tpd production rate. In order to meet with the production goal, 5 levels consisting of 34 at least production stopes are required on a yearly basis. The other strategy to meet the production goal is an improvement of stopes sequencing. Big Gossan Mine is ventilated by two parallel 1600kW exhaust Mixed-Flow fans.This paper presents the ventilation plan and design to support the improved stope sequence until peak production, include the analysis of ventilation design criteria, ventilation network modeling, infrastructure required, possibility of main fans upgrade and other ventilation open stope mine challenges.
Strategi Jitu Cegah Pencemaran, Patuh dan Bonus Nilai Tambah
Authors: Supriyadi Nanang , Pranoto Kris
Published: March 2020

UU 32/2009 tentang pengelolaan dan perlindungan lingkungan menjadi titikperubahan terhadap cara pengelolaan lingkungan di Indonesia. Sanksiadministratif hingga sanksi pidana diancamkan kepada yang tidak patuh, hal inimenjadi perhatian serius semua pihak termasuk pengusaha. Lebih jauh lagipelanggaran ketentuan lingkungan juga dapat berpengaruh pada kelangsunganbisnis perusahaan. Di sisi lain aspek lingkungan penting yang begitu besar dankompleks di tambang batubara memiliki daya rusak yang hebat jika tidak dikelola dengan tepat. Diantara aspek lingkungan penting yang sangat kruisial untuk dikelola di perusahaan tambang batubara adalah aspek pengelolaan limbah B3 dan pengelolaan air tambang. Strategi jitu dalam mengelola limbah B3 dan air tambang harus dikembangkan untuk mengontrol potensi dampak yang mungkin timbul. Strategi “Kebijakan Satu Pintu Pengelolaan Limbah B3” dikembangkan untuk menjawab tantangan besarnya timbulan limbah B3 dengan kompleksitas tinggi karena banyaknya orang yang terlibat dan lokasi timbulan yang banyak dan jarak berjauhan. Sementara untuk pengelolaan air tambang, KPC mengembangkan strategi “Sediment Pond Configuration with Detention Storage and Dedicated Inflow” untuk menjawab tantangan puncak hidrograf yang sangat tinggi akibat luasnya area tangkapan air dan intensitas hujan yang sangat tinggi untuk memenuhi baku mutu air keluaran di titik penaatan sesuai ijin yang berlaku. Strategi jitu yang dikembangkan berhasil meningkatkan kepatuhan perusahaan hingga 100%. Strategi tersebut memberi nilai tambah yang tidak sedikit. Strategi pengelolaan air tambang memberi nilai tambah berupa pencegahan dampak banjir di hilir saat hujan lebat dan sebagai sumber cadangan air yang bisa dimanfaatkan saat musim kering. Sedangkan strategi pengelolaan limbah B3 mengkontribusikan penghematan biaya sebesar USD 2.132.089 selama 5 tahun (2009-2014) dan Pemanfaatan Oli Bekas sebesar 41,212,035 liters selama 10 tahun (2008-2017).