bluuebunny/crossref_metadata_2025 huggingface dataset:
Nuevo simulador de una estación de impulsión de agua de consumo
Authors: Molina Cantero Francisco Javier , Larios Marín Diego Francisco , Parejo Matos Antonio , García Caro Sebastián , Mora Merchán Javier M.
Published: November 2019

El recurso se ha desarrollado con dos objetivos. El primero es dar a conocer el funcionamiento de una estación de impulsión de agua para el suministro urbano. Y el segundo, y principal, el facilitar un entorno de ensayo de software de control desarrollado para autómatas Siemens. El simulador incluye bombas en redundancia, motoválvulas y elementos de distribución y almacenamiento. También dispone de un editor con el que desarrollar una consola de mando (HMI). El entorno nos permite además ensayar paradas de emergencia, averías en las bombas y también en las válvulas motorizadas.
Scientific Literacy Profile Based on Level of Adversity Quotient
Authors: Setiawan Adib Rifqi , Matahari
Published: November 2019

Burhān al-Dīn al-Zarnūjī in his treatise Ta'līm al-Muta'allim Ṭorīq al-Ta'allum proposed that the academic achievement has six things dependency: ingenious acumen, fervent desire, patience, sufficent sustenance, guidance of a teacher, and length of time. In other side, Paul Stoltz in his book Adversity Quotient: Turning Obstacles Into Opportunities coined adversity quotient term as a score that measures the ability of a person to deal with adversities in his or her life. Hence, adversity quotient is commonly known as the science of patience. Based on this perspective, we was empirically tested students scientific literacy through correlational research. In particular, first adversity quotient was measured with Adversity Response Profile (ARP) includes four dimensions that are characterized as control, ownership, reach, and endurance. Second, scientific literacy was tested with Scientific Literacy Test (SLT) that focused on three competencies. Third, we used Pearson r to elaborate correlation of scientific literacy with adversity quotient. The participants of the study were 50 students in Kabupaten Kudus choosen by purposive sampling technique. The findings suggest that it is important to facilitate students’ adversity quotient to guide them on achieving scientific literacy.
Оценка влияния регуляторов роста растений на фитопланктон и зоопланктон малого водотока
Authors: Chesnokova S. , Savel’ev Oleg,
Published: November 2019

Приведены результаты исследования влияния наиболее широко применяемых в сельском хозяйстве России и странах СНГ регуляторов роста растений (Амицид, Атлет, Гетероауксин, Циркон, Этамон, Эпинэкстра) на представителей фитопланктона (зеленая водоросль Chlorella vulgaris) и зоопланктона (ветвистоусые рачки Daphnia magna Sr.) методом биотестирования. В качестве тестпараметров использовали эффект подавления (ингибинирования) и стимуляции размножения клеток водоросли в пробах воды с регуляторами роста растений, который регистрировали по снижению или увеличению оптической плотности суспензии клеток водоросли в пробе при 96часовой экспозиции и смертности односуточной молоди дафний при 96часовой экспозиции. Для работы использовались коммерческие препараты регуляторов роста растений в диапазоне концентраций 109 103 мг/дм3 и вода из малого водотока Илевна левого притока реки Оки. Установлено, что все исследованные регуляторы роста растений вызывают гибель дафний. Токсический эффект зависел от природы препарата, концентрации и продолжительности экспозиции. Регуляторы роста растений в зависимости от концентрации либо стимулировали, либо ингибировали размножение клеток зеленой водоросли Chlorella vulgaris.

The results of studying by biotesting plant growth regulators most widely used in agriculture in Russia and the CIS countries (Amitsid, Atlet, Geteroauksin, Tsirkon, Ethamon, Epinextra) affecting phytoplankton (green alga Chlorella vulgaris) and zooplankton species (Daphnia magna Sr. cladoceran) are presented. As test parameters, the effect of suppression (inhibition) and stimulation of algal cell multiplication in water samples with plant growth regulators was used which was recorded by reducing or increasing the optical density of the algal cell suspension in the sample at 96hour exposure and mortality of oneday daphnia youngsters at 96hour exposure. For work commercial plant growth regulators in the concentration range of 109 103 mg/dm3 and water from the Ilevna small stream, the left tributary of the Oka River, were used. It was established that all studied plant growth regulators caused daphnia death. The toxic effect depended on the nature of the product, concentration and duration of exposure. Depending on the concentration, plant growth regulators either stimulated or inhibited the multiplication of green alga Chlorella vulgaris cells.
Анализ геотехнологий ремонта и мониторинг канализационных тоннелей в сложных инженерно-геологических условиях
Authors: Perminov N. , Klement’ev Maksim, , Perminov A. , Pankova G.
Published: November 2019

Изложен комплексный подход к выбору геотехнологий реконструкции канализационных тоннелей на протяженных участках в сложных грунтовых условиях, при техногенных воздействиях и непрерывном транспортировании стоков. На основе анализа опыта эксплуатации длительно функционирующих канализационных тоннелей, а также результатов инструментального обследования их технического состояния описаны основные факторы техногенного и природного характера, снижающие конструкционную безопасность и устойчивость функционирования наиболее нагруженных участков системы тоннельных коллекторов водоотведения. Отмечено отсутствие данных по этому вопросу в нормативной базе и технической литературе. Приведены преимущества и недостатки применяемых технологий санации канализационных тоннелей. Предложены рекомендации и требования к санации тоннелей в зависимости от грунтовых условий, степени износа, протяженности участка, динамики транспортирования сточных вод.

A comprehensive approach to the selection of geotechnologies for the reconstruction of long sections of sewer tunnels in complicated ground conditions, under technogenic impact and continuous transportation of effluents is described. Based on the analysis of operating longrunning sewer tunnels, as well as the results of an instrumental examination of their technical condition, the main factors of technogenic and natural origin that reduce their design safety and sustainable operation of the most loaded sections of the system of sewer tunnels are described. The lack of data on this issue in the regulatory framework and technical literature is noted. The advantages and disadvantages of the applied technologies of sewer tunnel rehabilitation are given. Recommendations and requirements to the rehabilitation of tunnels are proposed depending on the ground conditions, wear rate, section length, dynamics of wastewater transportation.
Computer Vision based System to Detect Abandoned Objects
Authors:   Assistant Professor, Department of Information Technology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India., A Balasundaram , C Chellappan ,   Professor, Department of Computer Science and Engineering, G.K.M. College of Engineering and Technology, Chennai, India.
Published: November 2019

Security has become the most essential aspect in every walk of life. With ever growing technology, there has been an apparent inclination towards developing smart surveillance systems that do not stop with just monitoring and recording of events, but also possesses the ability to observe the events and alert in case of any discrepancies if observed. One of the impending threats to security in crowded places is the ignorance of un-attended objects. These un-attended objects or abandoned objects may have been left behind intentionally and may contain hazardous things which can cause huge disasters. This paper is focused towards developing a computer vision based approach that analyses the blob areas to detect any abandoned objects and instantaneously send appropriate alert without any human intervention. The uniqueness of this approach is that it handles the occlusion scenario and also quick execution time to detect abandoned objects. The approach has been tested with various benchmark video datasets and real-time video sequences as well. The performance has been measured in terms of accuracy of classifying abandoned objects in a given video sequence and also the execution time taken for computing the outcome. Results indicate good accuracy in terms of abandoned object detection under varying conditions and scenarios and also faster execution time when compared to other contemporary approaches.
Synergy of Bis(Sulfanylidene)Tungsten and Spiro-Ometad for an Efficient Perovskite Solar Cell
Authors:   Department of Technical Education (DTE), Punjab Government, Punjab, India., Chaudhary Srishtee , Mehra, Dr. Rajesh ,   Professor and Head Department of Electronics & Communication Engineering, Centre at National Institute of Technical Teachers’ Training & Research, Chandigarh, India.
Published: November 2019

The researchers now days are avid of solar cells despite the efficiency issues. As lead-based halide perovskite exhibit toxic nature alternatives for the anti- toxic perovskite solar cells(PSCs) are gaining much research. Bis(sulfanylidene )tungsten is a toxic free feasible emerging option with direct band gap of value 1.8 eV. Tungsten disulfide is other chemical name of Bis(sulfanylidene)tungsten. In this paper, perovskite solar cell (PSC) with Bis(sulfanylidene)tungsten (WS2 ) as electron transport layer and spiro-OMeTAD as hole transport layer is modelled and simulated using SCAPS software to analyze performance parameters. The device simulations results are compared for comprehensive defect study of WS2 as ETL. With integration of WS2 and spiro-OMeTAD in the perovskite design, the outcomes are proficient enough with 25.96% of PCE, 22.06 mA/cm2 Jsc, 1.280V Voc and 91.76% FF. Launching the batch setup for absorber layer thickness further resulted with competent PCE 27.78%. The outcomes signified that the toxic-free WS2 based PSC can be a prominent upcoming perspective in terms of environmentally pristine nature and capitulate comparative high efficiency.
Mechanical Properties of Geopolymer Concrete with Flyash and Metakaolin
Authors:   Research Scholar, University College of Engineering & Technology, Acharya Nagarjuna University, Guntur., Deepak A. Lakshmi , Lakshmi Dr. T. V. S. Vara ,   Asst. Professor, University College of Engineering & Technology, Acharya Nagarjuna University. Guntur
Published: November 2019

Trials has been made to produce efficient GPC which gives maximum strength. By-Products from industries such as Fly-Ash, Metakaolin and GGBS can be used in concrete replacement which in-turn reduces carbon-di-oxide (CO2) emission affecting to green house. Using the above said products also leads to reduction of water demand in concrete and also shows comparatively no effects on long term effects in concrete, these by-products can effectively be used in concrete production. The high silica content in Fly-Ash and Metakaolin increases the bonding in concrete which in-turn increases the mechanical properties of concrete. Geopolymer concrete of M50 grade was proposed to be produced using fly-ash and Metakaolin instead of cement.Alklai solutions Sodium Hydroxide (NaOH), Sodium Silicate (Na2SiO3) were replaced with water for better bonding and mixing. Molarity of Sodium Hydroxide with 10M and 12M was considered for this study. Ratio of Alkaline solution were considered as 1:2,1:2.5&1:3 to determine the optimum ratio which gives effective strength. In this experimental study, tests were carried on concrete specimens with percentage replacement of Fly-Ash with Buff Metakaolin in variable percentages of 20,40,60,80&100. Mechanical properties of concrete specimens were studied and were compared with control mix results.
The Adequacy Assessment of Test Sets in Machine Learning using Mutation T esting
Authors:   Department of Computer Engineering, Hyupsung University, Hwaseung, Kyunggi, South Korea., Yoon* Hoijin
Published: November 2019

The accuracy is computed by applying the test dataset to the model that has been trained using the training dataset. Thus, The test dataset in machine learning is expected to be able to validate whether a trained model is sufficiently accurate for use. This study addresses this issue in the form of the research question, “how adequate is the test dataset used in machine learning models to validate the models.” To answer this question, the study takes seven most-popular datasets registered in the UCI machine learning data repository, and applies the data sets to the six difference machine learning models. We do an empirical study to analyze how adequate the test sets are, which are used in validating machine learning models. The testing adequacy for each model and each data set is analyzed by mutation analysis technique.
Priority Directions for Regional Grain Market Development
Authors:   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation., Tyupakov* Konstantin Eduardovich , Reznichenko Sergey Mikhailovich ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation, Shichiyakh Rustem Adamovich ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation., Mikhailushkin Pavel Valeryevich ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation., Belova Liubov Aleksandrovna ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation.
Published: November 2019

Research Objectives. The article analyses the regional grain market, which makes it possible to substantiate the priority areas of its development, including the expansion of its export opportunities through modernising, updating and creating the port export infrastructure of the region. Methods. The article uses the methods of systemic, structural and logical research, the analytical method, comparison, generalisation, economic statistical method. Each of the methods was used based on its functionality. Results Achieved. The article provides a detailed analysis of the largest regional grain market in the Russian Federation; highlights internal and external factors favouring the development of export production and logistics systems of the Russian and regional grain industries; identifies restrictions for the development of export opportunities for the grain market of Krasnodar Territory. It proposes measures for developing the export potential of the grain market of Krasnodar Territory, to overcome the existing weaknesses in the grain market development in the region. Practical Relevance, Applications. The investment project proposed by the authors for the construction of a new grain terminal in Novorossiysk will allow to comprehensively solve the urgent problem of low efficiency of the port facilities, which limits the development of the export potential of the regional grain market.
Technology to form Students’ Readiness for Research in Engineering Universities
Authors:   Industrial University of Tyumen, Tyumen, Russia, Gorshkova* Oksana Olegovna
Published: November 2019

The relevance of the problem under consideration is caused by the existing discrepancy between the increased need of society and the state for high quality engineering education, and the actual level of readiness of graduates of engineering universities to perform their professional functions, as well as insufficient development of the theoretical foundations of students training in research in the context of competence-oriented education. The purpose of the article is to solve the problem of training students for the research activity in the course of independent work and research during the educational process at engineering university. Based on the systematization and development of existing approaches to solving the problem of training of students of engineering universities for research, which contributes to the development of a functional model, the authors propose the method of preparing students for research. The article describes the development of practical experience in research activities during the participation of students in scientific seminars; represents the process of using the project method, end-to-end research tasks when preparing the course and qualification works; the issue is considered on consolidating and improving the experience of research activities of future engineers during all kinds of practical training. The pedagogical experiment was aimed at identifying the effectiveness of independent and research work in the course of formation of students' readiness for research activities in the framework of the functional model. The materials of the article can be used by the academic staff of engineering universities, specialists in the field of pedagogy, theory, and methodology of vocational education, as well as in the system of extended education.
Development of a Sucker Rod Pumping Unit Simulation Model
Authors:   Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia., Torgaeva* D.S. , Sukhorukov M.P. ,   Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia., Shinyakov Y.A. ,   Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia., Shalyapina N.A. ,   Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia.
Published: November 2019

In this paper a process of development of sucker rod pumping unit (SRPU) simulation model with “oil reservoir-well” and control systems is presented. In this paper is presented process of development of sucker rod pumping unit (SRPU) simulation model with “oil reservoir-well” and control systems. The developed model describes the SRPU blocks for oil production in detail, allows studying the system with various equipment and well parameters and provides the logic of the closed loop system. It becomes possible to develop optimal control algorithms based on obtained dependencies. The results of simulation of operation and sucker rod pump (SRP) faults are given.
Strength and Durability Characteristics of Steel Fibre Reinforced Concrete with Mineral Admixtures
Authors:   Civil Engineering Department, Gokaraju Rangraju Institute of Engineering and Technology (GRIET) Hyderabad, Telangana, India, Sanjeev Dr. N. , Kumar K. Harish ,   Civil Engineering Department, GRIET Hyderabad, Telangana, India., Kumar Kaza Prem Rakshit ,   Civil Engeering Department, GRIET Hyderabad, Telangana, India.
Published: November 2019

The present investigation is carried out to study the strength and durability characteristics of steel fibre reinforced concrete, by replacing Ordinary Portland cement with Fly Ash, Ground Granulated Blast Furnace Slag (GGBS) and Metakaolin. In this study, cement is replaced by 30% and 40% with Fly Ash, GGBS and Metakaolin for M30 and M35 grades of concrete. Steel fibres @ 1% by weight of binder is used in all the mixes. Strength characteristics like compressive strength and split tensile strength are tested at 7 days and 28 days age. Additionally, durability tests such as water absorption and Sorptivity tests are conducted after 28days curing. The test results have shown that 30% replacement is optimum for strength criteria. And when metakaolin is used with fly ash, durability properties were improved and workability reduced.
The Performance of IEEE 802.11g with Capture Effect for Lightning Remote Sensing
Authors:   Department of Electronic Engineering Position, University Teknikal Malaysia., Nur Qalbi Binti Jalaudin*, N. Q. Jalaudin , Mohd Riduan Bin Ahmad M. R. Ahmad ,   Department of Lecturer, University Teknikal Malaysia., Mohamad Zoinol Abidin Bin Abd Aziz M. Z. A. A. Aziz ,   Department of Lecturer, University Teknikal Malaysia., Esa M. R. M. ,   Department of Lecturer, University Teknikal Malaysia.
Published: November 2019

This paper focuses on the enhancement of MAC protocols particularly the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) for IEEE 802.11g standard. In this paper, the protocol was analysed in term of throughput and transmission delay by using an improved analytical approach using MATLAB. The saturation throughput analysis of CSMA/CA is controlled by using slotted analytical model combined with captured effect probability model. The performances of MAC protocols with propagation loss and shadowing scenarios are analysed. The proposed modification significantly reduced the probability of collision and recorded better performance. The maximum throughput of MAC protocol is dependent on the normalized propagation delay. In other words, smaller normalized propagation delay gives better performance of throughput. On the other hand, shorter distance has higher throughput and lower transmission delay for both path loss and shadowing scenarios, in comparison to the longer distance. With the deployment of MAC protocols with capture effect, the average transmission delay significantly shows better performance.
Crucial Personal Factors Leading to Stress in University
Authors:   Centre for Curriculum and Public Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Isa *Khairunesa , Jam Nor Aishah Mat ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Muda Wan Hanim Nadrah Wan ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Kadir@Shahar Hazila ,   Center for Languages Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
Published: November 2019

Stress can happen to all of us even when we are awake or asleep. Stress can be experienced at night when we try to sleep or having a nightmare, in the traffic on the way home, or even at work. Stress is related between the employee and the employer as the performance of the employee is affected by the stress level which intern affects the company’s productivity. Therefore, this study aimed to examine the occurrence of stress among staff and the individual factors that contribute to stress. The sample of 50 respondents was randomly selected among staff in University A. The data of this study had been evaluated descriptively using SPSS version 2.0. The descriptive analysis was done on six sub domains, i.e personal problem, lack of personal appreciation, personal financial, work environment, personal support, and personal beliefs. The results showed that the personal problem has a higher magnitude of stress compared to other sub domains which is like personal finance, health problems, personal conflict, and unstable emotional controls have an influence on the personal problems that contribute to stress. The dual approaches involving both supervisors and co-workers are recommended in alleviating individual stress in their own workplace. Therefore stress management is vital for both. A creative and energetic working environment can be a mechanism for employee feel happy and belonging.
Development of Retrieval System using Color from Multi Segments and Shape features from Images as Combination
Authors:   Research Scholar-VTU, Asst. Professor, Information Science &Engg., RNS Institute of Technology, Bengaluru, India., Rajkumar *Mr. R , Sudhamani Dr.M.V. ,   Professor &HoD, Department of Information Science &Engg., RNS Institute of Technology, Bengaluru, India.
Published: November 2019

The world of digital information has been generous to produce large data. The task of finding similar images in such a vast repository in real-time is very challenging. In this paper, Content Based Retrieval System is proposed to retrieve similar images with a novel approach of combining the image features like color and shape. The work includes extraction of color feature from images by dividing them into five significant portions, which emphasizes on center portion of an image where object may reside. This process is carried out and represented using color histograms. Next, shape features are extracted using Hu - moments for the entire image. Later, by combining these two features, similar image retrieval is done based on a query. Various trials of retrieval have been carried out with different categories and results are tabulated. These results are compared with existing works and shows high performance.
Providing Enhanced Resource Management Framework for Cloud Storage
Authors:   Associate Professor, Department of CSE, Saveetha School of Engineering, Chennai, India., Kumar S. Magesh , Ashokkumar S. ,   Assistant Professor, Department of CSE, Saveetha School of Engineering, Chennai, India., Balasundaram A. ,   Assistant Professor, Department of CSE, Saveetha School of Engineering, Chennai, India.
Published: November 2019

Data centers are progressively being re-intended for workload combination with a specific end goal to receive the rewards of better resource usage, control cost, and physical space investment cost. Among the strengths driving costs are server and storage virtualization innovations. A key understanding is that there is a more noteworthy cooperative energy between the two layers of storage and server virtualization to be application piece sharing data than was beforehand thought conceivable. In this segment, we display ERMF, a platform that is intended to have MapReduce applications in virtualized cost. ERMF gives a bunch file framework that backings a uniform record framework name space over the group by coordinating the discrete nearby storage of the individual hubs. Our paper proposes ERMF accommodates the two data and VM resource assignment with contending requirements, for example, storage usage, changing CPU load and system connect limits. ERMF utilizes a stream arrange based calculation that can improve MapReduce performance under the predetermined limitations by starting situation, as well as by straightening out through VM and data relocation also. Moreover, ERMF uncovered, generally shrouded, bring down level topology data to the MapReduce work scheduler with the goal that it makes close ideal task scheduling.
Security Challenges Associated with Big Data in Health Care System
Authors:   Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India., Nagalakshmi N. , Babu G.L. Anand ,   Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India., Reddy Dr. K.S. ,   Professor & Head, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India., Ashalatha T. ,   Associate Professor, Department of IT, Anurag Group of Institutions, Hyderabad, Telangana, India.
Published: November 2019

The way organisations handle, evaluate and leverage information in any sector has essentially altered with big data. Healthcare is one of the most promising fields where big data can be used to create a change. In this paper, as applied to the healthcare industry, we surveyed the state-of – the-art security challenges in big data, assessed how security issues arise in the case of large healthcare data, and discussed ways to address them. We concentrated primarily on the lately suggested anonymization and encryption techniques, their strengths and constraints, and envisaged future directions for studies.
Liveness Detection Based on Human eye Blinking for Photo Attacks
Authors:   CSE Department, GRIET, Hyderabad, India., Nishanth D.Naga , Rao G.Mallikarjurna ,   CSE Department, GRIET, Hyderabad, India.
Published: November 2019

Auto face recognition mainly implemented to avoid the replication of identity to demonstrate through security check. This rage of face verification has brought intensive interest about facial biometric towards attacks of spoofing, in which a person’s mask or photo can be produced to be authorized. So, we propose a liveness detection based on eye blinking, where eyes are extracted from human face. The method of face recognition was applied by utilizing OpenCV classifier and dlib library, and a concept of edge detection and calculation of structure to extract the portion of the eye and to observe and make note of variation in the attributes of the eyes over a time period was employed. The landmarks are plotted accurately enough to derive the state of eye if it is closed or opened. A scalar quantity EAR (eye aspect ratio) is derived from landmark positions defined by the algorithm to identify a blink corresponding to every frame. The set of EAR values of successive frames are detected as a eye blink by a OpenCV classifier displayed on a small window when person is in front of camera. Finally, it gives the accuracy result whether it is human being or spoof attack.
Energy Conservation and Efficiency by Energy Efficient Motor in India
Authors:   Mott Mac Donald Pvt. Ltd. Noida, India., Agrawal Shashi Kala
Published: November 2019

Electricity demand in India is increasing at a rapid pace because of growth in Economy, urbanization, infrastructure development and the living standard of people. According to the United Nation’s world population prospects (2017), India’s population is 1.34 billion which will go grow further and surpass China by 2025[1]. According to the IMF, the Indian economy is expected to grow by 7.5% in FY19-20 and 7.7% in FY20-21[2]. Increased population and growth in GDP are associated with increased energy demand. India’s primary energy consumption was 754 Mtoe in 2017 and expected to reach 1928 Mtoe in 2040[3]. Major energy demand is from the Industrial sector which was 51% of total primary energy consumption in 2017 and expected to reach 990 Mtoe, by 2040 [3]. Rising energy demand and dependence on coal-based energy generation capacity, leading to the emission of Green House Gases (GHG). Most of India’s Greenhouse gas emissions are from energy sector having 68.7% contribution in overall greenhouse gas emission. Agriculture, Industrial process land-use change and forestry (LUCF), and waste, contributed 6.0%, 3.8% and 1.9% respectively in overall GHG emission in 2014. [4]. Reducing the GHG emission in India is a major challenge in front of the Government as the Government has to maintain sustainable growth with the contribution in mitigating the effect of climate change. Govt. has pledged to Paris Agreement for the reduction in emission intensity of GDP by 33-35% by 2030 below 2005 level [5]. In the reduction of GHG emission, energy efficiency’s contribution is estimated at approx. 51% [6]. The industrial sector can contribute most in reducing GHG emission and contributes to nationally determined contribution. Industry consumes 40%-45% of total energy consumption and motor-driven system consumes 70% [7] of total Industrial energy. Most of the energy in Industries are consumed to run the motor for various purposes and consumes a major chunk of energy which can be reduced to a significant level by replacing the standard motor with energy efficient motor. 90% of the motor in Indian industries are IE1 or below IE1 standard [8] and required replacement. By installing the energy efficient motor, the industry can save huge energy, cost and reduce CO2 emission. Observing the opportunity for energy saving by energy efficient motor, this paper aims to analyze how energy efficient motor is capable of reducing energy consumption, and how it can contribute to energy conservation. Methodology adopted in this paper is secondary research, that answers to questions like; why Industry need energy efficient motor, how energy efficient motor can save energy and increases efficiency, cost-benefit analysis of installing energy efficient motor, barriers to the installation of energy efficient motor and solution to those barriers in migration from the standard motor to energy efficient motor in India.
Sensor Based Emergency Communication System
Authors:   PG Scholar, M.Tech, Department of Computer Science and Engineering, GRIET , Affiliated to JNTUH, Hyderabad, India., sai Y. Phani Venkat , Sakthidharan Dr. G.R. ,   Professor of CSE, GRIET, Affiliated to JNTUH, Hyderabad, India.
Published: November 2019

Wireless Monitoring meant for house safety is among the obverse inquires about in the field of International Intelligent Building. To actualize continuous observation of the house safety, the shrewd distant checking structure was formed for house safety dependent on ZigBee improvement and GPRS network. Savvy house has progressed from exclusively implying the united and semi-automated control of common systems while IoT is the improvement of internet services. Uses of IoT are extending. Businesses of new developments in IoT condition are extending rapidly. It has been starting at now made in Industrial WSNs. A savvy home is moreover one of the usages of IoT. Quick improvement in advances and redesigns in configuration turns out various issues that how to administer and control the whole structure, Security at the server, security in brilliant homes, etc. This paper shows the structure of IoT. Savvy homes are those where nuclear family devices/home contraptions could screen and control remotely. Right when these nuclear family devices in keen homes interface with the web using genuine system building and standard shows, the whole structure can be called as IoT based Smart Homes. Smart Homes straightforwardness out the home computerization task.
Enhanced Energy-Efficient Heterogeneous Routing Protocols in Wsns for IOT Application
Authors:   PhD scholar at MMEC MULLANA, Haryana India., Rana* Mr Arun Kumar , Sharma Dr. Sharad ,   Professor at MMEC MULLANA, Haryana India.
Published: November 2019

Bunch specific transducers of Wireless sensor networks (WSN) that give detecting administrations to the Internet of Things gadgets with constrained vitality and capacity assets. Because substitution or energizing of battery in tiny sensor nodes is practically incomprehensible, control utilization winds up one of the critical structure issues in WSN for the future, we proposed a crossbreed directing convention: Advanced Zone-Stable Election Protocol (AZ-SEP) with nature of heterogeneous WSNs for IoT situations. In this convention, a few nodes transmit information legitimately to the base station while some utilization the bunching method to send information to the base station. We actualized AZ-SEP and contrasted it and the customary Low Energy adaptive clustering hierarchy (LEACH). Recreation results demonstrated that Z-SEP improved the steadiness time frame and throughput than existing conventions like LEACH. The proposed AZ-SEP convention outflanks when contrasted with the current LEACH convention with a 64% ascent in better output in the form throughput and broadening the quantity of alive tiny nodes to 2702 rounds which can be utilized to improve the IoT lifetime. At the point when contrasted and other vitality productive conventions, it is discovered that the proposed calculation performs better as far as dependability period and system lifetime in various situations of region, vitality and node density. Thus our simulation result will show enhanced energy, throughput with data aggregation
A Novel DSP Accelerator u sing Carry Look Ahead Concept
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., John* Kuruvilla , Mehboob Najala ,   Management Student, Annamalai University, Tamilnadu, India., Philip Merin ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., S Abhijith ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India., Francis Jincy ,   Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India.
Published: November 2019

Hardware expanding velocity is a completed technique for digital signal processing (DSP) systems. The stimulated system uses extra computational unit gave to specific limits, for instance, planned method of reasoning, extra CPU and reviving operators' structure structures are related to execution examination booking and portion, hardware and programming co plans are done by joint gear and programming building. As opposed to grasping a strong application-express joined circuit setup. It is a new animating operator designing with versatile computational units that help the execution of a huge course of action formats seen in the DSP parts. It is isolated from past tackles versatile reviving operators by enabling estimations to be mightily perform with pass on lookahead tree. The preliminary evaluations exhibit that the proposed stimulating specialist configuration passes on reduction in delay and in essentialness usage differentiated and the past work is illustrated.
Antiphishing Model Based on Similarity Index and Neural Networks
Authors:   Research Scholar, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat, Haryana, India., Sharma Bhawna , Singh Dr. Parvinder ,   Professor, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat, Haryana, India., Kaur Dr. Jasvinder ,   Assistant Professor, Department of Computer Science & Engineering, PDM University, Bahadurgarh, Haryana, India., Bringas Dr. Pablo García ,   Professor, University of Deusto. Spain.
Published: November 2019

Phishing is a negative technique that is used to steel private and confidential information over the web. In the present work author proposed a hybrid similarity of Cosine and Soft Cosine to calculate the similarity between the user query and repository as an anti-phishing approach. The proposed work model uses a multiclass learning method called Feed Forward Back Propagation Neural Network. The model evaluation results with 100 to 3000 test files shows that the hybrid model is able to detect the phishing attack with an average precision of 71% and is highly effective.
People with Disabilities in the Russian Labor Market: State and Prospects
Authors:   Plekhanov Russian University of Economics, Moscow, Russia., Babich Svetlana G. , Makhova Olga A. ,   Plekhanov Russian University of Economics, Moscow, Russia., Sadovnikova Natalia A. ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: November 2019

The existing system of social support and employment of people with disabilities has undergone significant changes in connection with the transition to the market model of the Russian economy, which necessitated the development and adoption of a new model of social policy in the field of employment of people with disabilities. The involvement of people with disabilities with a sufficient level of education in the work is of great importance as it contributes to the socialization of the person and understanding of their importance in society. Moreover, the employment of people with disabilities in the context of the country’s declining working-age population will contribute to the saturation of the labor market and the filling of available vacancies by workers.
Minimizing Warpage on Injection molding through Response Surface Methodology (RSM)
Authors:   Department of Manufacturing Engineering, School of Mechanical Engineering, VIT University, Vellore – 632 014, India., J* Sreedharan. , Manimaran C. ,   Associate Professor, Department of mechanical Engineering, IFET College of Engineering, Villupuram -605108,India, Velumani V. ,   Assistant Professor, Department of mechanical Engineering, Sri Nandhanam college of Engineering and Technology, Tirupattur -635601, India., Muthusamy Thirumalai ,   Department of Manufacturing Engineering, School of Mechanical Engineering, VIT University, Vellore – 632 014, India.
Published: November 2019

Cosmetic defects can occur in injection molding. The aim of this study is avoidance of warpage on an injection moulding parts. The selected parts is an aesthetics part in automotive industry This study is conducted on moulded parts on the plating jigs, where warpage cannot be compensated through the fixing of parts on jigs entering plating baths where the temperature of the etching baths is around 65deg.Analysis of variance is used to determine how inputs affect outputs. The inputs used are mould surface temperature, raw material melting temperature, filling pressure and filling time. These parameters are varied to get an optimal process parameters setting to avoid the warpage of the parts by using response surface methodology.It is very difficult to understand why the warpage on the parts happens.There is lots of factors which can contribute for warpage and to identify them is a huge task and this can be due to numerous things and to sequester the role of each parameters is an uphill task. One of the parameters is the holding pressure which decides how much the part is packed which, in turn, is the cause for the stress in the part. This induced stress when gets relieved over a period of time creates warpage in the part. Warpage can also be dependent on the sequence of filling the part with various gates. For example, if the part is filled from the centre & the end gates are opened last, it may cause over packing of the part at the end & cause more warpage only at the ends locally. However, usually parts are filled in this fashion only to avoid warpage in the centre.
Memristive Phase Change Memory
Authors:   Research Scholar Electrical & Electronics Engineering, School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India., Bilgaye Manish , Kumar Adesh ,   Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India., Srivastava Anurag ,   Professor at ABV-Indian Institute of Information Technology and Management, Gwalior, India., Dua Piyush ,   Department of Physics, University of Petroleum and Energy Studies (UPES), Dehradun, India.
Published: November 2019

The paper presents study on and simulation of resistive nonvolatile phase change memory (PCM) cell in NG Spice programming environment. The chalcogenide alloy based PCM cell model demonstrates switching between amorphous and crystalline phases. The crystalline factor, responsible for the phase change process, is programmed by applied variable electrical pulse. Parameters phase change, range of operating temperature, the crystalline factor are mapped and presented.
Blended Learning Pedagogical Practices: The Challenges to Cultivate New Ways of Teaching in Higher Education Institutions and Universities
Authors:   Sultan Idris Education University, Tanjong Malim, Perak, Malaysia., WONG Kung-Teck , Abdullah Norazilawati ,   Sultan Idris Education University, Tanjong Malim, Perak, Malaysia., Abas Nurul Ain Hidayah ,   Sultan Idris Education University, Tanjong Malim, Perak, Malaysia.
Published: November 2019

This research is to explain and discusses the challenges of implementing blended learning and cultivate new ways of pedagogical practices among higher education institutions and universities. To meet the current research objectives, the study has randomly interviewed 15 educators over Malaysia higher education institutions and universities. This study has carried out interviews with some predetermined questions that aimed to explore the challenges to cultivate new ways of teaching in higher education institutions and universities. Cultivate blended learning integration in teaching and learning or in particular in this context of higher education institutions is a challenging and time-consuming process. The study has highlighted the importance of infrastructure, institution’s management and its support, recognitions and ratings, and training and development program in higher education institutions. On this basis, the findings of this study were in line with the e-learning implementation guidelines issued by the Ministry of Education Malaysia. The study confirmed that the challenges such as infrastructure, institution’s management and its support, recognitions and ratings, and training and developing are the main obstacles in the process of introducing blended learning among higher education institutions and universities.
Optimum Cropping Pattern for Farmers of Bidar District, Karnataka
Authors:   Civil Engineering Department, BKIT, Bhalki.585328 Bidar District, Karnataka India., Kanna* Dileep Kumar , Dandigi Dr. M. N. ,   Civil Engineering Deptarment, P.D.A.College of Engineering, Kalburgi, 585101 Karnataka, India.
Published: November 2019

In the present study optimal solutions were found for net farm returns using Linear Programming model on the sample farmers of Bidar District.The LINGO 17.0 package was used to get the solutions. The sample was of 120 small and large farmers collected from 15 villages from five Tehsils. From each village eight farmers comprising small and large farmers were selected. A total of EIGHT models were developed. They were classified as small farmers S1, S2, S3, S4 and large farmers L1, L2, L3, and L4. The results were compared with existing cropping pattern of small and large farmers. The model S1, small farmers with existing technology and restricted capital registered an increase of in net returns per hectare by 27%, S2 small farmer with existing technology and relaxed capital, returns increased by 34%, S3 small farmer with recommended technology and restricted capital, returns increased by 55%, S4 small farmer with recommended technology and relaxed capital, the returns increased by 65% per hectare. Similarly the net returns per hectare in case of large farmers L1, L2, L3, L4 increased by 47%, 65%, 49%, 76% respectively. The impact of credit on net farm returns in small farmers was Rs: 8322 and the same in large farmers was Rs: 615276. The impact of credit on employment was seen in large farmers in terms of tractor power which rose to 256% followed by man days labour which was increased to 224 percent. It was noted that credit played an important role in augmenting income of farmers; the credit required was directly related to farm size while credit on income inversely related to farm size.
Venture Capital Financing in India: Prospects and Challenges
Authors:   Department of Business Administration, Aligarh Muslim University, Aligarh, India., Bushra* Seema , Akhter Prof. Javaid ,   Department of Business Administration, Aligarh Muslim University, Aligarh, India.
Published: November 2019

The study aims to analyze the Venture Capital financing scenario in India, in terms of growth, geographical dispersion, sectoral analysis, and the economic environment relevant to venture capital industry during the years (2007-17. The study finds that India is undergoing a paradigm shift in terms of Venture Capital financing particularly in IT/ITES sector, which register a phenomenal growth of 240% during the period of study. The study brings out that the Indian market attracted Venture Capital funds from even the competitor economies like China. The study also finds clear evidence of spatial proximity effect that the investments are concentrated in certain regions.
Efficient Detection of Brachial Plexus in Ultrasound Images using Machine Learning Algorithms
Authors:   Research scholar, MD University, Rohtak, India., Sharma Deepak , Gaur Lalit ,   PG student, C-DAC, GGSIP University, New Delhi, India.
Published: November 2019

Humans can identify objects from an image. Only better knowledge can help to identify specific objects from the field in which we are working. The present work aims at detection of collection of nerves called the Brachial Plexus in ultrasound images. Ultrasound Images has been used for its low prices and low risks but they poses some challenges to detecting the Brachial Plexus in ultrasound images.