bluuebunny/crossref_metadata_2025 huggingface dataset:
Protection Efficacy of Oral Bait Probiotic Vaccine Constitutively Expressing Tetravalent Toxoids against Clostridium perfringens Exotoxins in Livestock (Rabbits)
Authors: Bai Jing , Qiao Xinyuan , Ma Yingying , Han Meijing , Jia Shuo , Huang Xinning , Han Bing , Wang Li , Li Yijing , Xu Yigang
Published: January 2020

Clostridium perfringens is an opportunistic pathogen. Its main virulence factors are exotoxins, which are the etiological agents of enteritis necroticans and enterotoxemia caused in livestock (cattle, sheep, and rabbits). Here, we demonstrated effective immune protection for rabbits against α, β, and ε exotoxins of C. perfringens provided by an oral tetravalent bait probiotic vaccine delivering α, ε, β1, and β2 toxoids of C. perfringens. Results showed that the recombinant probiotic had good segregational stability and good colonization ability in the rabbit intestinal tract. Oral administration of the probiotic vaccine can effectively elicit significant levels of antigen-specific mucosa sIgA and sera IgG antibodies with exotoxin-neutralizing activity. Additionally, oral immunization with the probiotic vaccine effectively promoted lymphoproliferation and Th1/Th2-associated cytokine production. The protection rate of immunized rabbits with the probiotic vaccine was 80% after challenging rabbits with a combination of C. perfringens (toxinotypes A, C, and D) and exotoxin mixture, which was better than the 60% provided by a commercial inactivated C. perfringens A, C, and D trivalent vaccine. Moreover, obvious histopathological changes were observed in the intestinal tissues of rabbits in the commercial vaccine and PBS groups. The bait probiotic vaccine can provide effective protection against C. perfringens exotoxins, suggesting a promising C. perfringens vaccination strategy.
Analysis of the Lake-Effect on Precipitation in the Taihu Lake Basin Based on the GWR Merged Precipitation
Authors: Zhao Jing , Yang Long , Li Lingjie , Wang Lachun , Hu Qingfang , Wang Yintang
Published: January 2020

Based on the high-density gauged rainfall, the geographically weighted regression (GWR) was used to fuse the daily precipitation of rain gauges with those of Multi-source Weighted-Ensemble Precipitation V2.1 (MSWEP V2.1) and a new merged daily precipitation was generated (referred to as GWR merged precipitation, denoted by GWRMP). Then, the precipitation accuracy at 0.1° × 0.1° grid scale and the lake-effect on precipitation in the Taihu Lake Basin were investigated. Results show that GWRMP is characterized with higher precision and stronger spatial recognition ability compared with MSWEP in the whole basin at 0.1° × 0.1° grid scale, and lake area with a relatively sparse network of rain gauges is no exception. Topography is the most important influencing factor of rainfall in the Taihu Lake Basin, the Pearson correlation coefficient (r) between DEM and the main precipitation type (EOF-1) in the whole basin is 0.64, resulting in a rainy area in the southwestern mountain, and less rain at plain and lake area based on the GWRMP. The multi-year average precipitation in the lake upwind area is 8.31% lower than that in the downwind area. Different with the influence mechanism of precipitation in the southwestern mountainous area characterized by high consistency between the spatial distribution of precipitation and the climatic elements derive from the ERA5 meteorological reanalysis data (|r| > 0.6), there is a lower consistency in the lake downwind area (|r| < 0.5) and no consistency in the lake upwind area at the 0.25° × 0.25° grid scale. The southeast monsoon is deduced as the most important factor affecting the procedure of lake-effect on precipitation in the Taihu Lake Basin. The distribution of wind direction and wind speed determines the dynamic changes of surface water vapor to a certain extent, and the lake-effect on precipitation is most likely occurs in July.
PERCEIVED TASK CHARACTERISTICS AND ITS EFFECT ON EMPLOYEE ENGAGEMENT AT PRIVATE COLLEGES IN SARAWAK
Authors: Abdullah Muhammad Madi , Lau Hui Lin
Published: January 2020

This study examines five perceived task characteristics variables (decision-making autonomy, task variety, task significance, task identity, feedback from job) and its effect on employee engagement at six private college employees in Sarawak. Despite extensive research on employee engagement, very little empirical research has examined this area of study specifically in the context of Sarawak private colleges. A survey questionnaire was employed to collect the data. A total of 284 responses were analysed using SPSS version 22.0. The results of this study revealed that only feedback from job, task identity and decision-making autonomy are significantly and positively associated with employee engagement. Task significance and task variety were not significantly related to employee engagement. Most importantly, decision-making autonomy was perceived as a dominant task characteristic for employee engagement; it was associated with significant improvements on private colleges’ employee engagement. This study contributes to a better understanding of the effect of perceived task characteristics on employee engagement among private colleges in Sarawak. The implications for practice and suggestions for future research are discussed.
Phishing Diagnosis: A Multi-Feature Decision Tree-based Method
Authors:   Department of Computer Science & Engineering, UNSIET, VBS Purvanchal University, Jaunpur, UP, Pandey Pravin Kumar , Singh Sandip Kumar ,   Department of Mechanical Engineering, UNSIET, VBS Purvanchal University, Jaunpur, UP,
Published: January 2020

Phishing is an electronically connected criminal activity in which the attacker steals the user’s personal information like username, countersign, internet banking account, credit/debit card number with the expiration date, password, pin, legitimacy, confidential patient record, CVV number, etc. to boon financially. Email-based phishing is the most common and traditional way of phishing scams, in which the phisher will send a suspicious email with an embedded URL and ask the user to click the URL. When the user clicks on the link, the link will be redirected to a spoofed site that looks the same to the original site to steal their credentials and displays some error message. Later the phishing uses those credentials for malicious purposes. To overcome these scams, many anti-phishing tools have developed. Among that the machine learning-based approaches can give a better result. This paper is an extensive study of the various machine learning-based anti-phishing approaches and their results that detect the phishing URL's from the URLs with URLs features. Six most important models of machine learning have been examined for the phishing detection problem. The Decision Tree-based method outperforms other methods.
Sol-Gel Synthesized N and Mn Co-Doped TiO2 Nanomaterial for Photocatalytic Degradation of Malathion under Visible Light Irradiation
Authors:   Department of Inorganic & Analytical Chemistry, School of Chemistry, Andhra University Visakhapatnam, India., Thota Sushmitha , Rao Gollamudi Padma ,   Department of Chemistry, Dr. B.R. Ambedkar Univsity, Srikakulam, Andhrapradesh, India., Raju Imandi Manga ,   Department of Inorganic & Analytical Chemistry, School of Chemistry, Andhra University Visakhapatnam, India., Rao Tirukkovalluri Siva ,   Department of Inorganic & Analytical Chemistry, School of Chemistry, Andhra University Visakhapatnam, India.
Published: January 2020

Different weight percentages (0.25-1.00 wt%) of Nitrogen (Non-Metal) and Manganese (Metal) co-doped nano titania were synthesized by sol-gel method and characterized by XRD, UV-vis.DRS, FT-IR, XPS, SEM and TEM. The XRD results has shown that all the prepared catalysts are in anatase phase indicating that co-doping of N and Mn did not affect the crystal structure of TiO2. From the UV-vis.DRS spectra a significant absorption shift towards visible region was noticed in N and Mn co-doped TiO2 and their presence was confirmed by XPS and FT-IR results. SEM and TEM results showed spherical nanoparticles with average particle size of 9 nm. Photocatalytic efficiency of synthesized nano materials was tested on non-biodegradable organophosphorous pesticide, Malathion under visible light irradiation. The effect of dopant concentration, pH, catalyst dosage, and initial pesticide concentration on photocatalytic degradation of malathion was studied and optimum conditions were established. Among the synthesized samples 0.50 wt% N & 1.00 wt% Mn-TiO2 exhibited best photocatalytic performance. Photoluminiscent spectroscopy (PL) was used to examine the rate of production of oxidative species, hydroxyl radicals which play key role in photocatalytic degradation.
Isolation Enhancement of 3GHz Probe Fed Rectangle Microstrip Patch Antenna by Second Resonance Suppression Technique for Wireless Applications
Authors:   Research Scholar - Electronics, JSS Research Foundation, SJCE , Mysore University, Mysore, India, R Satyanarayana , Dr. Shankaraiah  ,   Professor & Head – E & C Department, SJCE Mysore, India
Published: January 2020

Microstrip patch antenna is very popular and extensively used in GHz wireless communications. The demand of increased wireless communication applications, needs increase in bandwidth, gain, efficiency and isolation of microostrip patch antenna. Microstrip patch antenna is a low profile antenna but has narrow bandwidth, low gain, low efficiency and isolation. In this paper a microstrip patch antenna is designed with 1.6mm RT Duroid substrate material. The bandwidth, gain and isolation were found to be 60MHz, 7.5dB and -40dB with dual resonance. The bandwidth and isolation enhancement is achieved withsecond resonance suppression technique. The second resonance suppressed by using two slots. Simulations were conducted with different lengths of slots and at different positions and compared. A bandwidth of 270MHz, gain of 7.9dB and an isolation of -46dB are obtained. Bandwidth increase of 450% and 115% isolation increase are achieved.
Dynamic Trust Management for Community Based Mobile Grid Application
Authors:   Department of Computer Science & Engg., Shivaji University Kolhapur, India., Otari Grantej Vinod , Ghorpade Dr. Vijay Ram ,   Department of Computer Science & Engg., Bharati Vidyapeeth's College of Engineering, Kolhapur, India.
Published: January 2020

Mobile Grid is the inter-networking of heterogeneous physical as well as virtualdevices. Each device transfer and share the information with each other. Trust management plays a significant role in network based applications for information collection, data mining, qualified services with context-awareness, upgraded client protection and data security. It assists individuals with beating impression of vulnerability, threat and participates in client acknowledgment to utilization on grid services and applications. In this paper a unique trust management protocol is proposed for network based mobile grid application to manage misbehaving nodes whose status or performance may change dynamically. Trust plays an important role for handling the security in the community based system. Trust management provides facilitate to identify malfunctions and also make legitimate collaboration and enhance the user privacy and information security.
Numerical Analysis of Intake Valve of CI Engine
Authors:   Asst. Prof., Mechanical Engineering Department, Dr. D Y Patil institute of Technology Pimpri, Pune, Pardeshi Pankaj R , Dhande Dr. K K ,   HoD, Mechanical Engineering Department, Dr D Y Patil Institute of Technology Pimpri Pune ,, Bhagat Gorkh P ,   Asst. Prof., Mechanical Engineering Department, Dr. D Y Patil institute of Technology Pimpri, Pune, Suvarnkar Vikram S ,   Asst. Prof., Mechanical Engineering Department, Dr. D Y Patil institute of Technology Pimpri, Pune, Javanjal Vijaykumar K. ,   Asst. Prof., Mechanical Engineering Department, Dr. D Y Patil institute of Technology Pimpri, Pune
Published: January 2020

Internal combustion engines are considered as complex system. The important aspect of any engine is power output which, largely depends upon the proper combustion of air fuel mixture. The aim of this research work is to outline the improve performance of Four stroke Compression Ignition engine by modifications in Inlet manifold geometryThe study is performed on Kirlosakr CI engine. At beginning design of existing inlet valve was studied and CAD drawing is prepared in CATIA V5 Software. Based on existing design and work done by various researchers new modified inlet valve with addition of small plate, is designed in CATIA V5 Software. The numerical investigation is performed using Ansys CFX solver in 14.5 In numerical simulations Engine with two ports is considered to be designed to study the movement of air flow
Impact of RCS- Cross Root Process and die design in commercial Brass Alloy Sheets
Authors:   Department of Mechanical Engineering, HKBK College of Engineering, Bengaluru VTU Bengaluru, India., Yezdani T.M. Tajuddin , M Dr. Shantharaja ,   Department of Mechanical Engineering, UVCE, Bangalore University, Bengaluru, India
Published: January 2020

Commercial Brass Alloy Sheet are subjected to intense plastic deformation using RCS method to improvise its metallurgical / Mechanical properties. The impact of Repeated Corrugation and Straightening Process for a number of cycles using two different type of dies on hardness, homogeneity and grain structure in commercial Brass Alloy Sheet at room temperature is evaluated experimentally. Two types of V-grove corrugation dies (flat groove corrugated, and semi-circular grooved corrugated ) and flattening dies were used in this work with a pressing velocity of 1mm/min. The modus operandi involves repeated and controlled corrugation followed by straightening for a number of cycles. In the process the brass sheets are made to undergo intense plastic deformation by repeated shearing using first flat groove corrugated dies followed by flattening of sheets using flat dies and in the second setup, semi-circular groove corrugated dies are used, followed by flattening of sheets using flat dies. In the samples processed using flat groove corrugated dies, the BHN increases from 95.47 to 234.34 upto 4th cycles and then decreased to 218.63 in the 5th cycle experimentally. In the samples processed using semi-circular groove corrugated dies, the BHN increases from 95.47 to 202.02 upto 4th cycle and then decreases to 194 for 5th cycle experimentally. The results of simulation studies done using the simulation software (AFDEX) are in consonance with the experimental results. Simulation analysis done to study the behavior of commercial Brass Alloy Sheet subjected to plastic deformation using Semi-circular groove corrugated dies shows that the effective strain has increased from 0.6442 for the 1st cycle to 2.94 at the end of 5th cycle, and for the flat grooved corrugated dies the effective strain increases from 1.17 for the 1st cycle to 6.21 at the end of 5th cycle. This RCS process can be used for bulk production of sheets with high hardness, fine grain structure and smoother surface.
Bilingual (English to Bengali) Technical E- Dictionary for Aviation OOV Words
Authors:   Assistant Professor, Computer Science Department, Assam University, Silchar., PAUL SAPTARSHI
Published: January 2020

E-dictionaries, quite common today are available for multiple languages in monolingual, bilingual and multilingual forms. In NLP they form the core of a series of tools that are used to understand words, sentences and in turn the language itself. These E-Dictionaries work well for any language domain as a whole. For almost all languages E-dictionaries are available, but once specialized technical domains are encountered these E-Dictionaries are quite useless. Aviation is one such specialized domain for which no E-Dictionary, translation or transliteration tool exist. On the other hand the need for such tools for specialized domains are increasing. The tool discussed in this paper is an attempt to bridge the gap that currently exists between English and Bengali languages.
Fog Computing-Security Platform for IoT and Cloud in-Healthcare System
Authors:   Security Professional, Department of Computer Science and Engineering., Mathew Alex R
Published: January 2020

The introduction of cloud computing has revolutionized business and technology. Cloud computing has merged technology and business creating an almost indistinguishable framework. Cloud computing has utilized various techniques that have been vital in reshaping the way computers are used in business, IT, and education. Cloud computing has replaced the distributed system of using computing resources to a centralized system where resources are easily shared between user and organizations located in different geographical locations. Traditionally the resources are usually stored and managed by a third-party, but the process is usually transparent to the user. The new technology led to the introduction of various user needs such as to search the cloud and associated databases. The development of a selection system used to search the cloud such as in the case of ELECTRE IS and Skyline; this research will develop a system that will be used to manage and determine the quality of service constraints of these new systems with regards to networked cloud computing. The method applied will mimic the various selection system in JAVA and evaluate the Quality of service for multiple cloud services. The FogTorch search tool will be used for quality service management of three cloud services.
CATIA V5 ANSYS Based Performance Enhancement on Disc Brake
Authors:   Department of Mechanical Engineering,, R.M.K. Engineering College, Chennai, India,, G Mahendran , C Jayabalan ,   Department of Mechanical Engineering,, R.M.K. Engineering College, Chennai, India,, S Palani ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai, India., R Sathish kumar ,   Department of Mechanical Engineering,, R.M.K. Engineering College, Chennai, India, S Youvaraja ,   Department of Mechanical Engineering,, R.M.K. Engineering College, Chennai, India
Published: January 2020

In the modern automobile vehicles the system of braking is the main primary essential parts. It takes up the wheel kinetic energy then dissipates it as heat energy and decelerate or else vehicle stop. While apply the disc brake high stress is generated, therefore problem of frictional wear occur. In order to enhance the functional performance, take thermal analysis for selecting minimum heat flexes material. In this research work, software of Catia v5 as well as ANSYS is used for creating modal and analyzing. The Suggest result materials are fabricated using stir casting method and conducting wear test.
Performance of Biodiesel Fuel and Neem Oil Blends in Single Cylinder Diesel Engine
Authors:   Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Hyderabad, India, Thirumalai T. , Prakashbabu M. ,   Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Hyderabad, India, Reddy A. Harsha Varthan ,   Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Hyderabad, India, Reddy M.Ramalinga ,   Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Hyderabad, India, Kumar A.Raj ,   Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Hyderabad, India
Published: January 2020

Biodiesel, a promising elective fuel has increased huge consideration because of the anticipated brevity of regular powers. One of the most encouraging options for utilizing customary non-renewable energy sources is the utilization of fluid energizes, for example, biodiesel got from neem oil by means of transesterification forms speaks to one of the most suitable alternatives for the utilization of regular petroleum derivatives. In this venture, within the sight of a homogeneous corrosive impetus, the oil is changed over into butyl ester known as biodiesel. The physical properties of neem oil, neem butyl ester, such as density, flash point, Kinematic viscosity, fire point and Pour point, have been found. To request to acquire the information for investigation, similar attributes test will likewise be led for the diesel fuel Diesel and mixes of neem oils are to be tried in a CI Engine to look at execution and discharge qualities.
An Efficient K-Means Method Based on Centroid Handling for the Similarity Estimation
Authors:   Ph.D. Scholar, Department of Computer Science, RKDF University, Bhopal (MP), India., Ladha Girdhar Gopal , Pippal Ravi Kumar Singh ,   Professor, Department of Computer Science RKDF University, Bhopal (MP), India.
Published: January 2020

The main aim of this paper is to handle centroid calculation in k-means efficiently. So that the distance estimation will be more accurate and prominent results will be fetched in terms of clustering. For this PIMA database has been considered. Data preprocessing has been performed for the unwanted data removal in terms of missing values. Then centroid initialization has been performed based on centroid tuning and randomization. For distance estimation Euclidean, Pearson Coefficient, Chebyshev and Canberra algorithms has been used. In this paper the evaluation has been performed based on the computational time analysis. The time calculation has been performed on different random sets. It is found to be prominent in all the cases considering the variations in all aspects of distance and population.
Effect of Various Activation Function on Steering Angle Prediction in CNN based Autonomous Vehicle System
Authors:   Pursuing, B.tech , C.S.E , SRM Institute Of Technology and Science, Chennai, Hazra Rounak , kumar Aman ,   Pursuing, B.tech ,C.S.E , SRM Institute Of Technology and Science , Chennai, Baranidharan Dr. B. ,   Associate Professor, S.R.M Institute of science and technology, Chennai.
Published: January 2020

Autonomous or Self-driving vehicles are set to become the main mode of transportation for future generations. They are highly reliable, very safe and always improving as they never stop learning. There are numerous systems being developed currently based on various techniques like behavioural cloning and reinforcement learning. Almost all these systems work in a similar way, that is, the agent (vehicle) is completely aware of its immediate surroundings and takes future decisions based on its own historical experiences. The proposed work involves the design and implementation of Convolutional Neural Network (CNN) enhanced with new activation function. The proposed CNN is trained to take a picture of the road in front of it as input and give the required angle of tilt of the steering wheel . The model is trained using the behavioural cloning method and thus learns to navigate from the experiences of a human agent. This method is very accurate and efficient. In this paper, for the detection of object and vehicle in autonomous vehicle, the existing Tensorflow object Detection API is collaborated with pretrained SSD MobileNet model. This paper presents in detail literature survey on various techniques that have been used in predicting steering angle and object detection in self driving car. Apart from that, the effect of activation functions like ReLU, Sigmoid and ELU over the CNN model is analysed.
The Assessment of Effectiveness of R&D within the Framework of Federal Target Programs
Authors:   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Vasileva Lyudmila , Khabarova Tatiana ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Korzhenko Viktoria ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia.
Published: January 2020

The purpose of this study is to develop approaches to assessing the effectiveness of R&D of civilian use carried out within the framework of federal target programs based on integrated accounting of performance indicators and the cost of projects. Methods of comparative analysis as well as the methods of expert estimations were used. The developed methodology is tested on the example of the most knowledge-intensive program — the Federal Targeted Program “Research and development on priority directions of scientific and technological complex of Russia for 2014-2020” showing its practical applicability. It confirmed the hypothesis about the existence of significant differentiation of projects containing R&D according to the quantitative structure as well as scientific and technical potential of the established objects of intellectual property in comparison with the costs of R&D. The existing system for assessing the effectiveness of R&D conducted within the framework of targeted programs is carried out with aggregate output parameters and does not pay attention to the specific contribution of each project in improving the indicators of the entire program. The authors proposed to use the concepts of “weighted effectiveness” and “innovative efficiency” of projects. The quantitative evaluation of projects based on these parameters made it possible for us to perform the ranking of projects, to identify groups of projects with varying degrees of innovative efficiency, and to distribute the most effective, low efficiency and expensive projects according to thematic areas of research.
Enhanced Detection of Diabetic Retinopathy using Advanced Filters
Authors:   Professor, Department of (Electronics and Communication Engineering), KLEF, Guntur, India,, Bojja Polaiah , Potluri Sai Charan Reddy ,   Department of (Electronics and Communication Engineering), KLEF, Guntur, India,, Reddy Vempati Ramya ,   Department of (Electronics and Communication Engineering), KLEF, Guntur, India,, Sri D S K S V L S N S Prema ,   Department of (Electronics and Communication Engineering), KLEF, Guntur, India,
Published: January 2020

Nowadays in India, diabetic patients are more increasing. The major issue with diabetic patients is Diabetic retinopathy which causes the loss of vision. For the ophthalmologist, it is very difficult to identify the diabetic retinopathy because of the low resolution of the eyes. For the specialists, it is easy to find the blood vessels in the retina to diagnose the many populations in a very short time. Various existing methods are used to find the abnormal retinal images of diabetic patients based on their image features. But the results are not that much accurate. In this paper, an enhanced image filter with local entropy thresholding for blood vessel extraction under different normal or abnormal conditions is proposed to improve the performance of the patient information.
Integrated Dwt-Differentiation Algorithm for Fault Detection and Relay Coordination in Micro Grid
Authors:   Pursuing Ph. D., Department of Technology, SPPU , Pune (Maharashtra) India., Khandare P. M. , Deokar Dr. S. A. ,   Campus Director, ZES’S ZCOER, Pune (Maharashtra) India., Dixit Dr. A. M. ,   Professor, Department of Technology, Savitrbai Phule Pune Universirty, Pune (Maharashtra) India.
Published: January 2020

The Bidirectional flow of current makes it difficult to detect fault in the microgrid. The level of fault current changes continuously with change in load, it leads to selectivity and sensitivity issue of relay. In this paper integrated DWT-differentiation algorithm is proposed for fault detection and relay coordination, the input waveform of fault current is proceed with discrete wavelet transform. Time scale function of DWT used to extract exact feature from signal which helps in further effective analysis. The Optimization function of relay is mainly depends on PSM (plug setting multiplier) and TDS (Time dial span). The Fault current used to calculate this parameter are already analyzed from DWT. Standard 9 bus IEEE system is used as reference. Fault is detected at 21 different locations; initially primary protection is activated and secondary protection operates only if first selected pair of relay fails to operate .The differential algorithm select best pair of backup relay and relay coordination is carried out resulting in reduction of operating Time.
Development and Research of a Current Source for Electrical Impedance Tomography
Authors:   department of Information and measuring systems and technologies, Platov South-Russian State Polytechnic University (NPI), Russian Federation., K. Aleksanyan G. , I. Gorbatenko N. ,   Professor, Head of Information and measuring systems and technologies department of Platov, South-Russian State Polytechnic University (NPI) , Russian Federation., I. Kucher A. ,   Associate Professor, Information and measuring systems and technologies department of Platov, South-Russian State Polytechnic University (NPI) , Russian Federation., D. Shcherbakov I. ,   Associate Professor, Information and measuring systems and technologies department of Platov South-Russian State Polytechnic University (NPI) , Russian Federation., A. Katsupeev A. ,   Associate Professor, Information and measuring systems and technologies department of Platov South-Russian State Polytechnic University (NPI) , Russian Federation.
Published: January 2020

The probe current source is an essential component of equipment in electrical impedance tomography (EIT). This article discusses the development of a current source for an EIT - from a block diagram to a hardware implementation. A methodology for determining the output resistance of a current source is described, an experimental bench and the results of an experimental evaluation of the source output resistance - the most important parameter of current sources determining its characteristics - are presented.
DSTATCOM for Harmonic Mitigation in Distribution Lines using Two-Level Inverter
Authors:   Asst. Prof, Dept. of EEE, Dayananda Sagar College of Engineering, Bengaluru, India., M Vidya , Pramila Dr. P. ,   Prof & HOD, Dept .of EEE, Bangalore Institute of Technology, Bengaluru, India., Nagaraj A. M. ,   Asso. Prof, Dept .of EEE, Dayananda Sagar College of Engineering, Bengaluru, India.
Published: January 2020

Distribution systems have been facing serious problems of harmonics load current mainly due to advancement in power electronic based and other non-linear loads. The DSTATCOM has been widely used to mitigate the load current harmonics problems in distribution system. The power quality improvement is one of the major problems when the distribution side load increases with non-linear loads like electric vehicles, laptops, PCs etc., There are some power quality mitigation technique available at the load side where the electronic chargers works with unity power factor (UPC) control. But many DC loads are connected without the UPC. So, it is a need for a device which corrects the real and reactive power at the distribution level. The DSTATCOM is connected to the Indian distribution system with 415V, 50Hz. In this paper the linear loads and nonlinear loads are coupled to the system and analysis with DSTATCOM and without DSTATCOM cases are presented.
Stability of Physically-Loaded Helical Springs used In Smart Fork Lift
Authors:   PhD student, Department of Mechanical Engineering, YMCA University of Science & Technology, Faridabad-121006, Haryana, India, Kumar Suresh , Aggarwal M.L. ,   Professor, Department of Mechanical Engineering, YMCA University of Science &Technology, Faridabad-121006, Haryana, India, Singh Lakhwinder ,   Professor, Department of Mechanical Engineering, YMCA University of Science & Technology,Faridabad-121006,Haryana,India
Published: January 2020

In the following section, the behavior of helical compression springs is considered in smart fork lift (established in previous work). We have used commonly used cylindrical and conical shape helical spring as storage devices in which stability defined in term of load-gains, deflections and evaluation of spring-rates. Springs’ rates of both springs were compared on a common platform. Initially both springs (helical-conical) was prepared from the coiled wires. These prepared springs also known as coil springs which regain its original form and position when distorted by the loaded in smart fork-lift apparatus. These coils springs here developed by the applying the heat treatment and quenching processes on the galvanized spring steel material by using the threaded shape fixtures. This prescribed work focused on effect of physically-loaded gains by cylindrical and conical shaped helical spring in smart fork lift. Here, springs worked as mechanical devices to bear the lifting load which differed here greatly in strength and in size depending on changing its parameters. Both the cylindrical and conical shape was made of helically coiled wires with constant clearance between the active coils and able to absorbed external counter-acting loads applied against each other in their axis. One direction deformation in axially format was considered.
Optimization of CFRP Micro Drilling Parameter using 2-Level Factorial Method Towards Thrust Force
Authors:   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia., Nasir Nur Syuhada Md , Wahab Ts. Dr. Norfariza Ab ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia., Izamshah PM Dr. Raja ,   Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Malaysia., Sasahara Prof. Hiroyuki ,   Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan., Hassan M. Hafiz ,   Advanced Machining Lab, Gandtrack Asia Sdn Bhd, Ayer Keroh, 75350 Melaka, Malaysia.
Published: January 2020

Carbon Fiber Reinforced Polymer (CFRP) is extensively used in aircraft and automotive industries due to it exceptional material properties such as high strength to weight ratio and corrosion resistance. Nevertheless, micro drilling process of CFRP material poses various challenge as it has irregular material properties along the structure. High cutting force which lead to poor hole quality is one of the issues that always occur when drilling this material. Hence, the understanding on the relationship between process parameter and material behavior is vital to achieve optimum performance of machining process. The experiment was carried out using 2-level factorial design with variable spindle speed range of 8,000 – 12,000 rpm and feed rate range of 0.01-0.015 mm/rev. Micro drill bit with diameter of 0.9 mm was used and new fresh drill were used for every run to avoid tool wear effect. As a result, lower thrust force of 6.3742 N is obtained from the combination of spindle speed 10k rpm and feed rate 0.0125 N. Therefore, it can be concluded that, optimum parameter falls between the range of 8,000 – 12,000 rpm of spindle speed and 0.01-0.015 mm/rev of feed rate. Validation of the optimum parameter suggested from 2-level factorial which are 8,000 rpm and 0.01 mm/rev is executed. The final result obtained shows 4.5% of error from targeted value and this result is absolutely acceptable and portray the reliability of the experiment.
Implementation of 2D-DCT as an Efficient Accelerator for HEVC Video CODEC
Authors:   Department of Electronics and Communication Engineering, Acharya Institute of Technology, Bangalore, India., S Sumalatha. , Rajeswari  ,   Department of Electronics and Communication Engineering, Acharya Institute of Technology, Bangalore, India.
Published: January 2020

Programmable architectures like GPU based embedded system for video and imaging applications are widely used due to their high performance, as they allow flexibility for running customized functions. However these architectures do not allow reconfiguration of the architecture at run time and optimization of the hardware resources. This paper explores the FPGA based architecture suitable for all video CODEC standards used in multimedia applications which is both programmable and reconfigurable. The proposed architecture demonstrates an accelerator to perform two dimensional 8*8 discrete Cosine Transform (DCT) and Inverse Discrete Cosine Transform (IDCT). The accelerator can be reconfigured to compute higher order two-dimensional DCT/IDCT according to different system requirements and is implemented on Xilinx Zynq evaluation board 7vx485tffg1157-1. The architecture is found to have a high scalability in terms of power and area. The synthesis results reads, 48% improvement in both dynamic and static power consumption, with optimal hardware utilization suitable for high performance video CODECs.
Machine Learning: A Software Process Reengineering in Software Development Organization
Authors:   Research Scholar, Department of Computer Science & Engineering, Indus University, Ahmedabad, India., Bhavsar Krunal
Published: January 2020

BPR (Business Process Re-engineering) is an organizational mechanism that improves the organizational ability in responding to the challenges of qualitative result by change management and improvement in software engineering processes, productivity, product quality and competitive advantage. BPR inherits, explores and implements the building of process change, to incorporate enhancements to the essential considerations and protocols of (SEM) Software Engineering Management. Machine Learning (ML) can be the key aspect for BPR in software development organization. The goal of this research study is raising the conceptual vision about integration of automation technology like ML and its life cycle development within Software Development Life Cycle (SDLC) of the software product and highlights benefits and drawbacks ML techniques in SPM (Software Project Management), and how to implement ML in standard SEM practices. We have attempted the introduction of machine learning in SEM to determine specific performance and tasks reuse using empirical analysis and discussion on implementation of ML algorithms. The empirical study of software technologies includes control structure of an autonomous software application. In current era, ML imparts consistently promising accuracy in some SEM fields. The goal of this paper is an empirical and analytical study and literature review to propose desired level of quality software, through the comparative evaluation of existing processes and their respective support for Software Quality Engineering (SQE).
A New Hybrid Strategy for Malware Detection Classification with Multiple Feature Selection Methods and Ensemble Learning Methods
Authors:   Research Scholar, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India., Latha P. Harsha , Mohanasundaram R. ,   Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India.
Published: January 2020

A dramatic increase in malware in our day-to-day life causes a noteworthy problem in cyber security. The traditional approaches and signature-based models are not sufficient to defense with the new malware. To achieve zero-day attacks of malware, these approaches are not much competent to face new malware. To enhance the compete for the mechanism of classifying new malware the machine learning approaches are highly effective. To classify new malware with the high dimensionality of data leads to reduce the quality of output and low-performance results. In this paper, we propose a new hybrid strategy that combines the power of feature selection methods along with ensemble learning methods to improve accuracy for high dimensionality of data. This hybrid approach having three stages, preprocessing, feature selection and classification. Three different types of feature selection methods: ExtraTreesClassifier, Percentile and KBest feature selection methods are used to select the best features (dimensionality reduction) and four ensemble classifiers: AdaBoost, Gradient Boosting, Random Forest and Bagging are used for classification. The accuracy of ensemble classifiers are increased with this hybrid model and produces better results of classification with 91.50% accuracy. For dealing with the high dimensionality of data this hybrid approach is very effective and gives better results.
Quality Assurance of Data Transmission in Queuing Networks
Authors:   Department of Telecommunications Odessa National A. S. Popov Academy of Telecommunications, Odessa, Ukraine., Komarova L. A. , Saiko V. G. ,   Department of Applied Information Systems, Taras Shevchenko National University of Kyiv, Ukraine., Nakonechnyi V. S. ,   Protection Department, Taras Shevchenko National University of Kyiv, Ukraine., Toliupa S. V. ,   Protection Department, Taras Shevchenko National University of Kyiv, Ukraine., Ziubina R. V. ,   Department of Cyber Security and Information Protection, Taras Shevchenko National University of Kyiv, Ukraine.
Published: January 2020

With the development of high-speed communication networks, the so-called property of self-similarity of flows has an increasing impact on the quality of service. From a practical point of view, this can be explained by the high variability of traffic intensity and, as a consequence, the high receipt of packets to the network node at a high data rate, which leads, due to the limitation of the buffer, to packet losses. For a long time, it was believed that the traffic of the local network is described by the classical Poisson distribution. Telephone networks were originally built on the principle of channel switching, and computer networks are usually based on the principle of packet switching, but the calculation methods have remained virtually the same. Packets at high speed of their movement on a network arrive on a node not separately, and the whole pack. Traffic in such networks has ripples, which increases the likelihood of congestion in the network nodes, which lead to buffer overflows and cause losses and / or delays. Pulsations lead to differences in the speed of information flows, in which the ratio of the maximum value to the minimum speed is tens of times. At the same time, it turned out that in multiservice networks, the number of events in a given time interval depends on previous, very distant events. This means that at large scales of a multiservice network, traffic has the property of self-similarity, i.e. it looks qualitatively the same at any sufficiently large scales of the time axis.
Performance of Memristor Based Ring Oscillators True Random Number Generator for Energy Technology
Authors:   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Hashim N A N , Loong J T H ,   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Hamid F A ,   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: January 2020

We are living in an era where everything is trying to be more connected in terms of the different physical entities and its surrounding environment. This new concept that is developing called the Internet of Things (IoT) has garnered a lot of attention [Bodei, 2019 #45]. There are various of applications and smart objects associates with the IoT and this leads to an increase in security challenges. IoT security is very important but getting harder to achieve. One example of utilization of IoT is in the smart grid infrastructure and this in turn increases the need for network security. An integrated internet-based smart grid and energy resources also called Energy Internet (EI) has a lot of security challenges that comes with the current smart grid. Smart grid infrastructure and any means of energy that implements the internet system also known as Energy Internet (EI) has many security challenges that come with the current smart grid. A memristor based ring oscillator True Random Number Generator design has been proposed in this research as a solution that can combat security challenges that existed in the hardware implementation of devices. Inputs based on non-deterministic methods are being used in TRNGs to generate outputs that possessed randomness characteristics in applications of IoT that makes it secure. Complementary metal oxide semiconductor (CMOS) technology of 0.18 μm are being used in the TRNG design and a software of LT SPICE IV helps to realized it.The proposed TRNG design produced output that passed 10 out of the 15 NIST tests, therefore showed that the TRNG produce a fairly random output.
Extreme Learning Machine with Multi-Agent System for Regression
Authors:   Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Malaysia., Yaw Chong Tak , Yap Keem Siah ,   Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Malaysia., Wong Shen Yuong ,   Department of Electrical and Electronics Engineering, Xiamen University Malaysia, Malaysia, Tan Chin Hooi ,   Business Innovation Incubator, Tenaga Nasional Berhad, Malaysia
Published: January 2020

From the point of learning speed as well as generalization, Extreme Learning Machine(ELM) is widely known as an effective learning algorithm than the conventional learning methods. Basically, hidden neurons are not required in neuron alike, instead, weight is the parameter that would need to learn about the link in between output and hidden layers. The creation of an output is to integrate each independent of several ELMs. The precise approach is included in a Multi-Agent System. The novelty of ELM-MAS (extreme learning machine based multi-agent system) is put forward in the paper for solving data regression problems. The ELMs consist of two layers which are the parent agent layer and individual agent layer. The effectiveness of the ELM-MAS model is proved with some activation functions employing benchmark datasets (abalone, strike and space-ga) and real world application (Nox emission). The outcomes indicate that the proposed model is capable to attain improved results than other approaches.
The Performance of waste Heat Recovery Systems using Steam Rankine Cycle and Organic Rankine Cycle For Power Generation
Authors:   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Satheeshkumar A. , Lim C W ,   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: January 2020

This paper presents extensive modelling of an Organic Rankine Cycle (ORC) system for a combined cycle power plant and to compare and evaluate the performance of ORC and Steam Rankine Cycle (SRC). In addition, ORC as a second stage waste heat recovery system after SRC too was modelled. Conceptual design of an ORC was made to replace the SRC system used in the power plant and its performance was compared with that of the SRC above. Upon replacing the steam cycle with ORC, the system efficiency is 7.63 %. The total energy destruction is 5140.41 kW. The result shows that ORC delivers very low system efficiency. The steam cycle produces 202.5MW whereas the presented ORC produces just 1.016MW of power. On the other hand, if ORC is implemented on the chimney the system will produce 0.2% of extra power on top the current power production of 675MW. The efficiency of this system is 7.81%. It is recommended to add the ORC at the chimney to tap more useful energy from the otherwise waste energy rejected into the environment.