bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the End-to-End Operation in Its Recruitment for Lateral Hires
Authors:   Department of Business Administration, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar- 626126, Tamilnadu, India., P Arthi Priyadarsini. , Priya B.Shanmuga ,   Department of Business Administration, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar- 626126, Tamilnadu, India.
Published: January 2020

In this study, to analyze the end to end recruitment both primary and secondary data were used. The Primary data is collected from the current employees, who perform the end to end IT recruitment. The secondary data is used on the verification side of the primary data, on the other hand primary data is highly used which gives the result. The sample size is 30 Current employees. The primary data is analyzed with the percentage analysis. The goal set of this study is “Once the required number and kind of human resources are determined, the management has to find the places where the required human resources are/will be available and also find the means of attracting them towards the organization before selecting suitable candidates for jobs “.
Design and Implementation of Wireless Irrigation Valve System Based on LoRa Controlled by Cloud Server
Authors:   Professor, Department of Computer Education, Andong National University, 1375 Gyungdong-ro, Andong, Gyungbook 36729 South Korea, Kim* Byungsoon
Published: January 2020

Wireless actuator networks, which control devices by analyzing data collected from sensors, are becoming important in the area of precision open-field agriculture. This paper will present wireless irrigation valve system architecture based on LoRa and controlled by a cloud server for autonomous irrigation in open fields and the design of a non-real-time actuator protocol; this includes the implementation procedure for each node in the system. The results are also presented for the experiment conducted on a lawn that shows the proper operation of irrigation valves that use the protocol proposed in this paper.
Affect State Classification from Face Segments Using Resnet-50 and SE-Resnet-50
Authors:   Assistant Professor, Biomedical Engineering department, Thadomal Shahani Engineering college, India., Theckedath* Dhananjay , Sedamkar R.R. ,   Professor, Computer Engineering department, Thakur college of Engineering & Technology, India.
Published: January 2020

One of the important components of an intelligent Human computer Interface system is accurate classification of the various affect states. Such interface systems are however plagued by a recurring problem of image occlusion. The challenge hence is to be able to classify the various affect states accurately from whatever portions of the face are available to the system. This paper attempts to investigate if there are segments within the facial region which carry sufficient information about the affect states. In this paper we have used two pre-defined Convolutional Neural networks (CNN). We have implemented a ResNet-50 network and a modified version of ResNet-50 which has a Squeeze and Excitation network connected to ResNet-50. This is called SE-ResNet-50. We use these two networks to classify seven basic affect states of Angry, Contempt, Disgust, Fear, Happy, Sad and Surprise from various segments of the face. We partition the face into four regions with each region comprising of only 50% of the original data. The results obtained are compared with that obtained using the full face. The validation accuracy values are obtained for full face as well as the four segments of the face. The paper also calculates precision and recall for each partitioned area for each of the affect states using the two networks. Our evaluation shows that both, ResNet-50 as well as SE-ResNet-50 are successful in accurately classifying all the 7 affect state from the Right segment, Left segment Lower segment and Upper segment of the face. While ResNet-50 performs marginally better compared to the SE-ResNet-50 in identifying the various affect states form the right, left and lower segments of the face, SE-ResNet-50 performs better in identifying the affect states from the upper segment of the face. We can thus conclude that right segment, left segment, lower segment and upper segments of the face contain sufficient information to correctly classify the seven affect states. The experimental results presented in this paper show that pre-defined Convolutional Neural Networks gives us very high accuracy, precision and recall values and hence can be used to accurately classify affect states even when there are occlusions present in the image and only certain portions of the face are available for analysis.
Fauna and Distribution Endohelminths of Fish From Waterbodies Of The Central Region Of Uzbekistan
Authors:   The Institute of the Zoology, Uzbek Feruza Safarova, Feruza Akramova, Djaloliddin Azimov, Oybek Abduganiyev Academy of Sciences, Bagishamol str. 232b, Tashkent 100125, Uzbekistan, Safarova* Feruza , Akramova Feruza ,   The Institute of the Zoology, Uzbek Feruza Safarova, Feruza Akramova, Djaloliddin Azimov, Oybek Abduganiyev Academy of Sciences, Bagishamol str. 232b, Tashkent 100125, Uzbekistan, Azimov Djaloliddin ,   The Institute of the Zoology, Uzbek Feruza Safarova, Feruza Akramova, Djaloliddin Azimov, Oybek Abduganiyev Academy of Sciences, Bagishamol str. 232b, Tashkent 100125, Uzbekistan, Abduganiyev Oybek ,   The Institute of the Zoology, Uzbek Feruza Safarova, Feruza Akramova, Djaloliddin Azimov, Oybek Abduganiyev Academy of Sciences, Bagishamol str. 232b, Tashkent 100125, Uzbekistan
Published: January 2020

Fauna and distribution patterns of the endohelminths of fish from water bodies of the central region of Uzbekistan were investigated. 15 endohelminth species were recorded from fish in this region, including 5 species of trematodes, 6 species of cestodes, 3 species of nematodes and 1 species of acanthocephalans. Sex species are first reported from this region. Original data on the composition and structure of endohelminth communities are given.
Algebraic Properties on Fuzzy Translation and Multiplication in BP– Algebras
Authors:   Assistant Professor, Mathematics at Jamal Mohamed College (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India., Prasanna A. , kumar M. Prem ,   Assistant Professor of Mathematics, Kongunadu College of Engineering and Technology, Tiruchirappalli, Tamilnadu, India., Mohideen S. Ismail ,   Associate Professor, Mathematics and Principal, Jamal Mohamed College (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India., Gulzar Muhammad. ,   Research Scholar, Department of Mathematics Government College University, Faisalabad, Pakistan.
Published: January 2020

In this paper, we first define Fuzzy BP-sub algebra then explain the idea of –Fuzzy Translation and Multiplication in BP– Algebras. More over , we generalized the Fuzzy BP- ideal and we consider, new notion discussed –Fuzzy Translation and Multiplication in BP– Algebras and investigate some of related algebraic properties.
Preparation of Ceramic Membranes from Sludge Waste
Authors:   Chemical Engineering Department, Faculty of Engineering, The British University in Egypt, El-Sherouk City, Egypt., Roushdy* M H
Published: January 2020

Ceramic tiles industry produces industrial waste wit large amount which become a worldwide problem. Ceramic sludge produced from ceramic tiles wastewater treatment plant is routinely discarded as a useless waste. The aim of this paper is to recycle the ceramic sludge waste to be used as raw material for ceramic membrane production. The ceramic sludge was collected, dried, and characterized by mineralogical composition (XRD), thermal analysis (DTA and TGA), and chemical composition determination (XRF). The support ceramic membrane samples were formed, pressed, dried then fired using temperatures from 1050 to 1200 °C for 1 to 3 hours. Verification parameters were determined. It was found that the firing temperature is the only affecting parameter. The best firing temperature of ceramic membrane is 1150˚C. The prepared ceramic membrane at 1150 oC can be used in both nano-filtration and micro-filtration applications with high separation efficiency.
Privacy Preserving Data Mining Using Secure Multiparty Computation Based On Apriori and Fp-Tree Structure of Fp-Growth Algorithm
Authors:   Research Scholar, Department of Computer and Information Science, Annamalai University., Yoganandhini* P. , Prabakaran Dr.G. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University.
Published: January 2020

In this work, a method is proposed to deal with secure multiparty computation (SMC) based problems. The computation is done on the grocery dataset collected from three various grocery shops. The privacy is maintained by generating the rules based on FP-Tree algorithm under Association Rule Mining (ARM). Privacy and correctness are the important requirements of SMC. In privacy requirement, the things apart from necessary are not learned. This implies that only output will be learned by the parties. Each party must receive correct output to ensure the correctness. In this work, secure auction is done using SMC and frequent item sets are computed to perform the association rule mining. The most familiar FP-growth schemes have the short fallings like former space complexity and latter time complexity. The performance of the algorithms has been enhanced by using APFT algorithm which is a combined version of FP-tree structure of FP-growth algorithm and Apriori algorithm. The conditional and sub conditional patterns are not generated continuously in APFT. The speed of the APFT is high when compared to Apriori algorithm and FP-growth.The correlated items are included by modifying APFT and non-correlated item sets are shaped by using APFT. This modification is used for FP-tree optimization. From the frequent item set, the loosely associated items are removed by using this modification. The system implemented is clearly described and its performance is evaluated. The results confirmed that the proposed scheme is extremely effective.
Design and CFD Simulation of Solar Water Heater Used In Solar Assisted Biogas System
Authors:   HOD, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia, Woyessa* Lemi Negera , Koteswararao Basam ,   Lecturer, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia, Zeru Balewgize A. ,   PhD Candidate, Otto von Guericke University of Magdeburg, Germany. and Assistant. Professor of Mechanical Engineering, Jimma Institute of Technology, Jimma University, Vijay P. ,   Assistant Professor, Department of Mechanical Engineering, K.L.E.F, Vaddeswaram.
Published: January 2020

Difficulty in collecting conventional energy sources as well as their economic benefits including saving of time ,money, fertilizer of higher nutrient value, availability of waste easy and comfortable cooking, health benefits including the reduction diseases and environmental benefits such as saving of forest, clear surrounding were the main motivational factors for this research. However, climate temperatures in areas are too low to enable enough biogas production in small unheated digesters to meet the energy requirements of the institute, so the objectives of were to overcome the problem of energy by solar assisted with the hot water storage tank. In this research mathematical modeling of the solar water heater was designed and the analysis of heat transfer coefficient (losses) through the flat plate collector was done and the techniques that used to reduce these losses also mentioned. From the simulation results; the effect of mesh type on flat plate collector, temperature rise, and pressure drop were characterized including flow type in the laminar and turbulent using CFD approach. The FPC was needed for the preparation of the hot water for the heating of the waste food for the selected fixed dome digester with 2m2 was designed. The effect of water mass flow rate 0.01-0.05kg/s on flat plate collector, temperature rise, pressure drop, and velocity was characterized including the variation of flow types intensity using CFD approach. The optimal temperature to this process was 37 °C.The results obtained have been validated with analytical results.
Optimization of Web Services and Semantic Web Performance using different techniques provided by the QoS
Authors:   Laboratory TIM, FSBM, Hassan II University of Casablanca, Morocco., Mahjoubi* Khadija , Labriji Hassan ,   Laboratory TIM, FSBM, Hassan II University of Casablanca, Morocco.
Published: January 2020

Current Web services research is increasingly using semantic models to extract useful information from the Web according to different principles of the Semantic Web which allowed to take advantage of the consideration of the meaning and the meaning of the exchanged data to improve the feasibility of the different tasks such as the description, the pairing, and the discovery. This work focuses on semantic-service-oriented architectures in which providers of different Web services can describe, publish, and discover Semantic Web Services, whose purpose is to solve problems such as information overload and the navigation problem, which concern the users of the Web. In this paper, a solution to performance and optimization problems is proposed for the selection of web services at the QoS quality of service level taking into account the quality of service using different techniques provided by the QoS.
Formation of Communication Innovations in the Development of the Territorial Telecommunications Complex
Authors:   Odessa National A.S. Popov Academy of Telecommunications, Odessa, Ukraine, Komarova* L.A. , Kaluhina T. V. ,   Kyiv College of Communication, Kyiv, Ukraine., Pohoretskyi M. A. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine., Hribov M.L. ,   National Academy of Internal Affairs, Kyiv, Ukraine., Cherniak A.M. ,   Interagency Scientific and Research Center on problems of combating organized crime under the National Security and Defense Council of Ukraine, Kyiv, Ukraine.
Published: January 2020

The purpose of the thesis is to study existing solutions in the field of content delivery networks. On the basis of the study to propose a model of a distributed content delivery network. Using the model to develop traffic management algorithms within the CDN network to minimize the load on the channel. A model of content delivery network has been developed. Algorithm an algorithm has been developed to evenly distribute the load within the content delivery network and reduce the percentage of rejected requests at the time of peak loads. The algorithm is implemented within a model content delivery network crime reports and evidence. The algorithm is tested on model data, the results confirm a decrease in the percentage of rejected packets and the uniformity of the distribution of requests across the servers. The simulation results show that the heuristic algorithm is almost as good as the optimal solution on simple topologies. On complex topologies, direct comparison is not possible, but it can be seen that the results are close to the optimal solution.
Optimal Cluster Head Selection and Clustering for WSN Using PSO
Authors:   Assistant Professor, Department of E&TC, D. Y. Patil College of Engineering, Akurdi, Pune, (Maharashtra), India., Shinde* Aparna S. , Bichkar Dr. Rajankumar S. ,   Principal, Vidya Pratishtan’s Kamalnayan Bajaj Institute of Engineering and technology, Baramati, Pune, (Maharashtra), India.
Published: January 2020

Nowadays, Wireless Sensor Network is the promising and booming technology used in a variety of applications like disaster monitoring, health care, environmental monitoring, agriculture, industrial automation, etc. However the main drawback of the wireless sensor network is the limited energy source of the sensor nodes. Consequently, efficient utilization of the energy becomes essential for increasing the lifetime of network. Clustering protocol is one of the best energy efficient approach for saving the energy and maximizing the network lifetime. But the improper selection of cluster heads (CHs) may lead to the death of the CHs which deteriorate the performance of the network. Therefore the proper selection of cluster head becomes important for the energy conservation of sensor nodes and to maximize the lifetime of network. In this paper, we have presented PSO based optimal cluster head selection algorithm, in which the best possible CHs are chosen on the basis of parameters like residual energy, intra-cluster distance, and inter-cluster distance of the sensor node. With the effective scheme of particle encoding and fitness function, the proposed PSO algorithm is implemented for reducing the energy consumption and improving lifetime of network. The proposed algorithm also ensures the uniform distribution of the energy over network, by changing the role of CHs after each round. We extend our research to cluster formation approach where the sensor nodes are joined to the CH on the basis distance and energy of cluster head. The proposed algorithm is simulated extensively under various conditions like number of sensor nodes in the field, number of CHs, the position of the base station, constant energy and random energy, etc. and the simulation results are analyzed with the extant algorithms. Under all the circumstances the proposed algorithm outperforms the existing LEACH and SEP protocols in terms of average residual energy, the network lifetime and number of data packets received by the base station. Because of the improvement in the lifetime of the network, the proposed algorithm can be used in the applications like environmental monitoring, agriculture etc.
Wireless Network Enhancement in the Arctic by Selection of Dielectric Materials of Rooms
Authors:   Department of Fundamental and Applied Physics of the Higher School of Natural Sciences and Technologies Northern (Arctic) Federal University named after M.V. Lomonosov, Severnaya Dvina Emb. 17, Arkhangelsk, Russia, Lagunov* Alexey , Fedin Dmitry ,   Company "Lema", Okrugnoe Shosse 3-1, Arkhangelsk, Russia
Published: January 2020

The Arctic is of fundamental military-strategic importance for Russia. The development of the Arctic without an advanced telecommunication infrastructure is very difficult. To supply working in the Arctic employees with universal means of communication, it is the most efficient to use wireless communication band between 2.4 GHz and 5 GHz. Facilities, where radio telecommunication equipment in the Arctic works, have walls consisting of a multilayer structure. There is the problem of organizing communication of good quality. In such rooms, the best method is to use wireless networks using MIMO technology. We have developed a theory that allows us to determine the time Interflection T based on the determination of the dielectric constant of multilayer materials. In this case, problems arise in determining this coefficient. We propose to use the well-known method of short circuit and idling. We conducted a large number of measurements to determine the dielectric constant of various materials. We used this value to calculate the time T. In the future, we made adjustments to the premises by changing the size and amount of multilayer materials. Experimental results in the range from 2.4 GHz to 5 GHz showed that the data transfer rate increased by 5-10% when we performed the calculation of time Interflection and processed the room with multilayer materials. The proposed method is applicable indoors to build a wireless LAN standard IEEE 802.11 n.
Multi Node Tandem Queuing Model with Binomial Bulk Size Distribution Having Load Dependent Service
Authors:   Dept.of Basic Science, Vishnu Institute of Technology, Bhimavaram , India., Murthy* M. Sita Rama , Rao K.Srinivasa ,   Dept.of Statistics, Andhra University, Visakhapatnam, India., Ravindranath V. ,   Dept. of Mathematics , Jawaharlal Nehru Technological University Kakinada, Kakinada, India., Rao P.Srinivasa ,   Dept. of Computer Science and Systems Engineering , Andhra University, Visakhapatnam , India.
Published: January 2020

In this article we study a multi node tandem queuing model consisting of K-nodes in which the customers arriving in batches to the first queue and after receiving service they will be directed with some node specific probability to join any one of the (K-1) parallel queues which are connected to first queue in series and exit from the system after getting service. It is assumed that the arrival and service completions follow Poisson processes and service rates depend on number of customers in the queue connected to it. Here the bulk arrivals are assumed to be Binomially distributed. Using difference differential equations the joint probability function is derived and performance measures such as average number of customers, waiting time of customer, throughput of each service station, utilization of each server, variance of number of customers in each queue are derived explicitly. A numerical illustration is provided to understand the theoretical results. Sensitivity analysis of the system behavior with regards to the arrival rates and load dependent service distribution parameters is carried out. A comparison between transient and study state behavior is also done .
Text Based Restaurant Recommendation System Using End-To-End Memory Network
Authors:   Associate Professor, SRMIST, Department of Computer Science and Engineering, SRM Institute of Science and Technology. Kattankulathur, Tamilnadu, India., Subalalitha* Dr. C.N. , Subramanian Shrikanth ,   B.Tech, Computer Science, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Surapuraju Shanmukha ,   B.Tech, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Published: January 2020

With growing use of online content streaming websites, online shopping, and other exclusively online services, it becomes more and more imperative for technology companies to invest a lot of funds into a system to gauge user needs and requirements. To bridge this gap, there has been an influx of recommendation systems in the markets. From advertisements, to movies, and products we buy, recommendation engines are feeding on new data everyday to learn user trends. This paper tries to focus on improving the text based recommendation systems that can be implemented to leverage the vast review data that can be found on websites. We suggest using a novel memory based end-to-end network mechanism to reduce the need for long term dependencies and to reduce the need for memory intensive systems. As we generate more and more reviews and textual data on the web everyday, we need to be able to use this data to make meaningful analytical and business predictions. With the ability to perform multiple lookups, implement attention mechanism and back-propogation, this system was found to perform much better when compared to CNN, RNN and LSTM alternatives in our testing.
Digital Culture and Digital Media: Professional Competences
Authors:   Chair of Library Studies and Informology, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Huzieva* Olena Voskoboinikova , Masimova Larysa ,   Chair of Publishing Studies, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Vernyhora Nina ,   Chair of Publishing Studies, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Soshynska Viktoriia ,   Chair of Library Studies and Informology, Borys Grinchenko Kyiv University, Kyiv, Ukraine.
Published: January 2020

The article provides the results of a scientific research, which purpose is to find out if there is a need for introducing curriculums and academic disciplines aimed at the development of digital and media competences to the students studying under bachelor and master programs. To achieve the purpose set, there has been held a questionnaire to learn the influence of digital culture and digital media on the academic activity and professional formation of students majoring in different areas. Particularly, the questionnaire covered bachelor and master students majoring in ‘Journalism’, ‘Philology’, ‘Information, Library and Archival Science’, ‘Pedagogical Education: Primary Education’, ‘Pedagogical Education: Preschool Education’. The empiric research results have been put into the basis of theoretic comprehension of current opportunities and challenges of new specific information-and-virtual forms of culture and cultural communication. There were used a number of methods of scientific cognition to obtain objective results: a questionnaire, an expert judgment, methods of statistical analysis (a factor analysis: a principal component analysis, a correlation analysis), general scientific methods (an analysis, a synthesis, a summarizing), logical-and-analytical methods (an induction, a deduction), as well as graphic and mathematic methods. The results received prove the practicability of introducing a comprehensive block of disciplines, oriented towards the development of digital and media competences for academic degrees of bachelor and master in different areas. The practical importance of the results is that they can be applied to new curriculums and academic disciplines for a bachelor degree program for both professionals of social communication and information technologies and students of non-humanitarian areas. The results of the study will be useful for creation a master degree program, in particular for inter-disciplinary educational-professional programs oriented towards the teaching of information specialists who are able to work in social, economic and technological areas. Also, the results of the study can develop technology for measuring digital and media competences of specialists in different areas.
Floodable Length Analysis and Addition of Passive U-Tube Tanks to Reduce Rolling on 15 GT Fishing Boat of PVC’s Pipes
Authors:   Naval Arcitecture Department, Diponegoro University, Semarang, Indonesia., Chrismianto* Deddy , Manik Parlindungan ,   Naval Arcitecture Department, Diponegoro University, Semarang, Indonesia., Rindo Good ,   Naval Arcitecture Department, Diponegoro University, Semarang, Indonesia., Pambudi Ilham ,   Naval Arcitecture Department, Diponegoro University, Semarang, Indonesia..
Published: January 2020

Fishing boat in Indonesia generally use wood materials. In its development, PVC pipe alternative material can be used as hull. Ship accidents in Indonesia are much due to the turning of boats (capsizing) related to the rolling movements of boats. This research aims to know the fish liner made of PVC pipes with a variation of the hull shape has floodable length that corresponds to the standard SOLAS (Safety of Life at Sea) and know the change in the rolling movement of boats caused by The addition of passive U tube tanks. The method used in this research is by making modeling with variations of 3 hull shapes and making 3 models of passive tanks of different width size channels to be used in the study. Based on the results of the analysis of shipping software and CFDS for floodable lengths have the results indicating the floodable length of the boats of different variations of the stomach shape have different curved graphs and have fulfilled the rules of SOLAS. The rolling result obtained by the ship with the addition of passive tank. The results of the research showed that boats using passive tanks were able to dampen rolling movements. In model A was able to dampen by 4.40%, model B was able to dampen by 8.10% , and model C could dampen the rolling motion by 15.28%. The wide influence of passive tank is very influential on decreasing in the value of RMS Roll of PVC fish with flat hull.
Priority Based Mechanism for Resource Sharing in Cloud
Authors:   Department of MCA, Dharmsinh Desai University, Nadiad, India., Joshi* N. A.
Published: January 2020

Cloud computing technologies are getting matured day by day. Revolutions in underlying software, virtualization and hardware technologies related to storage, processing and computing technologies has helped cloud computing service providers to win trust of concerned stake holders. However, the exponentially increasing demand of cloud based resources has made task of resource management and utilization more and more challenging. A novel load balancing technique in cloud computing environment is presented in this paper. The virtual machines are implemented on an open source cloud computing platform on open source operating system. A virtual machines’ priorities based load balancing approach presented here indicates improvement in overall waiting time for load balancing. The mechanism prioritizes load balancing on same priority level virtual machines or lower priority level virtual machines.
Synthesis, X-Ray Characterization, IR Vibrational Frequencies, NMR Chemical Shifts And DFT Properties Of 2,7-Dimethyl-2,7-Dicyanide-3,6-Diazaoctane
Authors:   Department of Chemistry, Karshi Engineering-economical Institute, Karshi city, Uzbekistan., Chuliyev Jamshid , Yusupova Feruzabonu ,   Department of Natural Sciences, Karshi State University, Karshi city, Uzbekistan., Kodirov Abduakhad ,   Department of Natural Sciences, Karshi State University, Karshi city, Uzbekistan., Turgunov Kambarali ,   Department of Chemistry, Institute of Plant Substances, Tashkent city, Uzbekistan., Berdimurodov* Elyor ,   Department of Natural Sciences, Karshi State University, Karshi city, Uzbekistan.
Published: January 2020

In our research work, we have synthesized 2,7-dimethyl-2,7-dicyanide-3,6-diazaoctane and confirmed its structure by using X-ray diffraction and spectrometric experiments. The experimentally obtained results were compared with theoretically results. The electronic properties of 2,7-dimethyl-2,7-dicyanide-3,6-diazaoctane have been analyzed by DFT. The energy band gap is computed at -1.800349 eV for the 2,7-dimethyl-2,7-dicyanide-3,6-diazaoctane shows that this molecular structure is lower kinetic stability and more reactivity. Molecular electrostatic potential map of electron density on an isosurface of electrostatic potential for the 2,7-dimethyl-2,7- dicyanide-3,6-diazaoctane indicates electron rich reactive sites were located over nitrogen (N≡C) atoms belong cyanide groups. Our research results will be important for syntheses new α-aminonitriles organic compounds and calculate theoretical properties of them.
An Experiment to scrutinize the impact Of Lightweight Expanded Clay Aggregates (LECA) And Metakaolin on Structural Lightweight Concrete
Authors:   PG Student, Department of Construction Technology, VTU Regional centre for PG studies, Kalaburagi, India., Ateeq* Qazi Abu Haris , P. D Maneeth ,   Assistant professor, Department of Construction Technology, VTU Regional centre for PG studies, Kalaburagi, India., S Brijbhushan ,   Course co-ordinator, Department of Construction Technology, VTU Regional centre for PG studies, Kalaburagi, India.
Published: January 2020

Lightweight concrete is to be treated as structural concrete (using LECA as CA), it must satisfy the density in range of 1120-1920 kg/m3 and strength not less than 20 N/mm². In order to accomplish required strength, LECA with metakaolin was used at different concentrations of (20% to 26%) by weight of cement at equal increments of 2%. Test results clearly indicates that, using LECA and metakaolin as selective substitution increases the compressive strength and durable properties. The prerequisite of using additional cementious material as metakaolin was to enhance the compressive strength, durability of LWC. Metakaolin content seems to lead high early age strength with relative increase in strength of 28 days. The effective content of metakaolin was 24% along with 60% LECA as partial substitution gave very much appreciable results. The percentage reduction in density recorded was 33%. The durable aspects such as resistance offered to acidic environment was also affirming when as compared to conventional concrete.
Role Of Corporate Governance Professionals’ On Firm Value
Authors:   Department of Commerce, Pondicherry University, Pondicherry, India., N* CS. Azjhaguraja , Deo Prof. Malabika ,   department of Commerce, Pondicherry University, Pondicherry, India.
Published: January 2020

This piece of study is designed to analyse the socio economic profiles of the corporate governance professional’s opinion on the impact of CG (Corporate Governance) on FV (Firm value) from the angle of their socio economic profile. The study considered 90 company secretaries as Corporate Governance Professionals and elicited their opinion on the aspect of Corporate Governance and Firm value, with the help of semi-structured questionnaire circulated through Google forms. After implementation of the Companies Act 2013 we have completed nearly five years. Now this is the time to see how far the socio economic characteristics of professionals influence the FV? The socio economic variables were represented by Gender, Age, Educational Qualification, Profession and Experience etc., and for the purpose of Firm value an average value of Turnover, paid up capital, net worth, EPS and Return on Investments were considered. The study found significant difference between opinion based Socio-economic factors (age and profession) and impact of CG on FV, and the remaining socio economic factors were not found significantly differentiating their impact on firm value.
Finite Element Modelling and Design of Underground Metro Station
Authors:   Research Scholar, Vishwakarma Institute of Information Technology, Savitribai Phule university of Pune, (Maharashtra) India., Magdum* Madan , Karkare Bilavari ,   Professor, Department of Civil Engineering, Vishwakarma Institute of Information Technology, Savitribai Phule university of Pune, (Maharashtra) India.
Published: January 2020

Underground metro stations are influenced by critical external loads such as earth pressure, hydrostatic pressure, bedding spring stiffness and backfill soil cover. Optimization, constructability and sustainability is a need, which demands thorough critical analysis and design. The variation in design parameters like ground water level (GWT), bedding spring stiffness (ks) and earth pressure coefficient (ko) needs to be covered through the analysis. Accordingly, design demands the upper bound and lower bound parameters considerations for finite element analysis. This paper presents, best practices for finite element modelling approach such as mesh configuration, loading, geometry, support arrangement; analysis approach such as analysis parameters, solvers and design idealization of critical forces such as bending moment, shear force and axial force at wall slab junction and slab column junction based on the international codes such as Euro-code and Indian codes. Also paper compares the behavior of 2D and 3D finite element modelling of underground metro station.
Bioremediation of Wastewater using Invasive Bivalves
Authors:   Pursuing M. Tech Department of Environmental Engineering, KLEF Deemed to be University, Guntur, Andhra Pradesh, India., Deepthi*  , Lakshmi V. Sree ,   Assistant Professor, Department, Civil Engineering, Koneru Lakshmaiah Education Foundation (deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India., Babu M. Chaitanya ,   Environment Engineer, Sri Sai Manasa Nature Tech Pvt. Ltd. Hyderabad, Telangana India.
Published: January 2020

The contaminant concentration in water bodies are increasing with the increase in industrialization of the country. Pollution of water is measured by the parameters like BOD, COD, nutrients (N,P & K), and pathogens. The COD can occur due to industrialization pollutants. Eutrophication is caused due to the presence of N,P and K in the water bodies. The polluted water can be treated by chemical and physical methods. In physical treatment methods decontamination is done by using biological activities like biofiltration and bioaccumulation. In this study physical method (biofiltration) is adopted using ‘invasive bivalves’ as media. Wastewater can be decontaminated near to 85% using bivalves. The main types of the bivalves used in this study are dressina polymorpha, mytilus edulis and corbiculaflumina. These bivalves decrease the contamination level and these will encompass nutrient and phosphorus removal for recovery of eutrophic sites. They have also capacity of removing biological and chemical contaminants from water. The mechanism involved to reduce the contaminant concentration is biofiltration using bivalves.
Measurement of Friction and Wear in Aluminum Alloy Al7075/Sic & Gr Processed By Friction Stir Method
Authors:   Associate Professor and Coordinator, Mechanical Engineering, Kongunadu college of Engg. and Tech., Tamilnadu, India., Periasamy* Dr.K. , Sivashankar Mr.N. ,   Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India., Chandrakumar Mr.S. ,   Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India., Viswanathan Dr.R. ,   Associate Professor and Head, Mechanical Engineering, Pallavi Engineering College, Hyderabad, India.
Published: January 2020

Aluminum proved its effective usage in various applications because of its light weight and high strength. This work highly focused on fabrication of aluminum alloy Al7075 with addition of (10 wt. %) of silicon carbide (SiC) and (10 wt. %) graphite (Gr) by using friction stir processing. Initially reinforcement distribution examined by using SEM and EDS analysis. Co efficient of friction and wear was examined by pin on disc Tribometer. Based on the experimental results, improved mechanical properties and tribological properties were obtained compare to the base metal Al7075 aluminum alloy.
Analysis of Under-frequency Load Shedding (UFLS) Relay Setting during Disturbances
Authors: Sulistiawati Irrine Budi , Prastyo Angga Budi , Lomi Abraham , Priyadi Ardyono
Published: January 2020

Load changes on the system will affect the system stability itself.  Load demand that exceeds the generated power will cause the system frequency to decline. Therefore, a load shedding procedure is required to improve the frequency. This research focuses on how to design a load shedding scheme that is activated by the operation of under frequency relay. There are two scenarios to analyze the system performance with a simulation, which are losing power on line about 128 MVA and generator loss power about 192 MVA. Those scenarios result in a decrease in the system frequency to 47.48 Hz and 47.90, respectively. After the load shedding scenario is performed, the frequency became an increase in the range of 51.54 Hz and 49 Hz within a few seconds.
STRENGTHENING EMOTIONAL SUPPORT IN CLASSROOM TO ORPHANS OF GAZA ASTO IMPROVE THEIR ACADEMIC PERFORMANCE
Authors: Hamdaqa Hasan
Published: January 2020

The purpose of this study is to highlight the classroomemotional support of Gaza orphans to improve their academicperformance via a comprehensive review of relevant literature. Asystematic approach was followed to review the relevant previousliterature. A total of 39 research articles from renowned journals(Education & Development, Journal of social and Psychology,International Electronic Journal of Elementary Education, InternationalJournal of Research Studies in Education, Journal of EducationalPsychology and Child Development Perspectives) were reviewed. Thefindings of the systematic literature review of prior studies revealed thatemotional support affects academic performance, as well as children’spersonal behaviour, social life and the environment in which they live.The study considered studies only related to the emotional support ofGaza orphans. This research paper is likely to have some interestingimplications for the Ministry of Education and the Ministry of SocialAffairs by pointing out the challenges of strengthening the emotional support of Gaza orphans.
Improved Fitness-Dependent Optimizer Algorithm
Authors: Muhammed Danial A. , Saeed Soran AM. , Rashid Tarik A.
Published: January 2020

The fitness-dependent optimizer (FDO) algorithm was recently introduced
in 2019. An improved FDO (IFDO) algorithm is presented in this work, and this
algorithm contributes considerably to refining the ability of the original
FDO to address complicated optimization problems. To improve the FDO, the
IFDO calculates the alignment and cohesion and then uses these behaviors with
the pace at which the FDO updates its position. Moreover, in determining the
weights, the FDO uses the weight factor (

),
which is zero in most cases and one in only a few cases. Conversely, the IFDO
performs

randomization in the [0-1] range and then minimizes
the range when a better fitness weight value is achieved. In this work, the
IFDO algorithm and its method of converging on the optimal solution are demonstrated.
Additionally, 19 classical standard test function groups are utilized to test
the IFDO, and then the FDO and three other well-known algorithms, namely, the
particle swarm algorithm (PSO), dragonfly algorithm (DA), and genetic algorithm
(GA), are selected to evaluate the IFDO results. Furthermore, the CECC06 2019
Competition, which is the set of IEEE Congress of Evolutionary Computation benchmark
test functions, is utilized to test the IFDO, and then, the FDO and three
recent algorithms, namely, the salp swarm algorithm (SSA), DA and whale optimization
algorithm (WOA), are chosen to gauge the IFDO results. The results show that IFDO
is practical in some cases, and its results are improved in most cases.
Finally, to prove the practicability of the IFDO, it is used in real-world
applications.
Visual SLAM Based on Dynamic Object Removal
Authors: Liu Guoliang
Published: January 2020

Visual simultaneous localization and mapping (SLAM) is the core of intelligent robot navigation system. Many traditional SLAM algorithms assume that the scene is static. When a dynamic object appears in the environment, the accuracy of visual SLAM can degrade due to the interference of dynamic features of moving objects. This strong hypothesis limits the SLAM applications for service robot or driverless car intherealdynamicenvironment.Inthispaper,adynamicobject removal algorithm that combines object recognition and optical ﬂow techniques is proposed in the visual SLAM framework for dynamic scenes. The experimental results show that our new method can detect moving object effectively and improve the SLAM performance compared to the state of the art methods.
Beyond Nuclear Ambiguity
Authors: Gerli Michele
Published: January 2020

The objective of the thesis was to illustrate the trajectory of Iranian nuclear crisis from the origins of the nuclear program to the Joint Comprehensive Plan of Action (JCPOA), commonly referred as the nuclear deal. The guiding thread was the concept of “nuclear ambiguity”, which was addressed in the following terms: the civilian-military application of the atom constituted the primary source and was further exacerbated by several loopholes in the non-proliferation regime; Teheran exploited both sources and developed a large program with possible military dimensions. The JCPOA attempted to break this trend by limiting Iran’s program only to peaceful goals and by creating an unprecedented inspection mechanism. In other words, it attempted to go beyond the previous history of ambiguity.
Il Sistema previdenziale pubblico tra vincoli e scelte
Authors: De Santis Gustavo
Published: January 2020

Social security systems are in crisis almost everywhere in the world, partly due to the bad management from the past, especially far back in time, and partly due to their intrinsic characteristics, which were not always well understood by those who designed them, and even less so by those who subsequently intervened to change them. However, removing the many layers that have gradually been added to the debate, it seems possible to focus on the few, truly relevant variables about the issue, to separate the political choices from the exogenous variables (the constraints), to bring out the consequences of the different possible choices in the long and short run, and thus to contribute to safeguarding one of the cornerstones the modern social state, even if it is downsized in the process. In doing so, it also seems appropriate to clarify the compromise point that is intended to be pursued between actuarial equity and redistribution, two unfortunately incompatible, but still very relevant goals, which have always (confusingly) been present in the debate on the social security systems.
Designing Autonomy at home. The ADA Project
Authors: Laurìa Antonio , Benesperi Beatrice , Costa Paolo , Valli Fabio
Published: January 2020

Designing Autonomy at Home. The ADA Project. An Interdisciplinary Strategy for Adaptation of the Homes of Disabled Persons. Housing adaptations are one of the main tools for improving quality of life for people with severe disabilities and for their caregivers. They are also the main tool of the ADA Project, an action research that developed a strategy to tailor adaptations to the specific user needs and profiles. After an introduction to disability, accessibility and housing adaptations, the book describes the ADA Project’s goals, stages and tools. It then focuses on the main scientific outcome of the Project: the ADA Assessment Model (AdAM), an interdisciplinary tool that analyses and assesses the functional and social profile of disabled persons and their relationship with the physical environment in which they live.
Calculation of the optimal structure of antibiotic consumption in a hospital based on the predicted antimicrobial resistance in the treatment of uncomplicated acute pyelonephritis
Authors: Gomon Yulia M. , Arepeva Maria A. , Kolbin Alexey S. , Kurylyov A.A. , Balykina Yu.E. , Proskurin M.A. , Sidorenko Sergey V.
Published: January 2020

Objective.

To select an optimal (in terms of influence on the antibiotic resistance level) and cost-effective structure of antibiotic consumption in a hospital in the management of patients with acute uncomplicated pyelonephritis.
Materials and Methods.

Based on the literature data as well as a real practice of antibiotic administration, the cost of treatment of an acute uncomplicated pyelonephritis case with different regimens of initial antimicrobial treatment was calculated. Using mathematical modeling, changes in antimicrobial resistance of E. coli taking into consideration the current practice of the antibiotic administration were predicted. The optimal mode of antibiotic consumption in which antimicrobial resistance level would be minimal was predicted.
Results.

The current mode of antibiotic consumption where fluoroquinolones, 3rd generation cephalosporins, and penicillin/beta-lactamase inhibitor combinations account for more than 60% of consumption will lead to an increase in the proportion of extended-spectrum beta-lactamase (ESBL) producing E. coli by 14% over a 5-year period. At the same time, alternative (optimal) mode of antibiotic consumption (i.e. almost complete withdrawal of penicillin/beta-lactamase inhibitor combinations and fluoroquinolones from the clinical practice with the concomitant increase in consumption of carbapenems by 30% and increase in consumption of 3rd generation cephalosporins by 20%) will lead to a decrease in the proportion of ESBLproducing E. coli by 7% over 5 years. The cost of an acute uncomplicated pyelonephritis case with the current mode of antibiotic consumption will be increasing due to an increase in the proportion of ESBLproducing E. coli. At the same time, the alternative (optimal) mode of antibiotic consumption will lead to a significant reduction in the proportion of ESBL-producing E. coli.
Conclusions.

Use of mathematical modeling gives the opportunity to calculate changes in antimicrobial resistance of pathogens and choose the optimal mode of antibiotic consumption to reduce resistance levels.