bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart College Bus Management System
Authors:   UG Students, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Karthiban R. , Raajapathi S. M. Aaruthraa ,   UG Students, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Hemalatha B. ,   UG Students, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, kouselya M. ,   UG Students, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Alagappan Padmapriya ,   UG Students, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore
Published: May 2020

that supports current challenges and issues that's crucial .Monitoring includes the tracking of one who is moving into the bus, the time of moving into the bus and also the place wherever he's boarded into the bus provided for student bus management system. This whole system consists of frequency Identification (RFID), Fingerprint detector, Wi-Fi and also the Microcontroller. The system consists of 2 main modules In-bus module and Base station module. Once the person is on the brink of get in to the bus, he has got to swipe the RFID card, the RFID tag is scanned by the RFID reader within the In-bus module and also the tag range is then sent to BASE-station via GSM. The signals from ATMEGA328 microcontroller, USB-TTL Convertor’s send acceptable RFID tag range to the storage. The microcontroller searches for the received tag range at the bottom station and links the connected tag range information. Associated data entries are created and saved in the new database for each individual entries. This module then stores the info within the MYSQL. Real time analysis is also the part of this work. Once when the data is received reports are generated and is sent to the appropriate authorities.
Assessment of Machine Learning Algorithms for Network Intrusion Detection
Authors:   Electronics and Computer Engineering, School of Electronics Engineering, Vellore Institute of Technology, Chennai, India, Sonthalia Mayur , Thyagarajan Jayavignesh ,   School of Electronics Engineering, Vellore Institute of Technology, Chennai, India
Published: May 2020

A Network Intrusion Detection System (NIDS) is a framework to identify network interruptions as well as abuse by checking network traffic movement and classifying it as either typical or strange. Numerous Intrusion Detection Systems have been implemented using simulated datasets like KDD’99 intrusion dataset but none of them uses a real time dataset. The proposed work performs and assesses tests to overview distinctive machine learning models reliant on KDD’99 intrusion dataset and an ongoing created dataset. The machine learning models achieved to compute required performance metrics so as to assess the chosen classifiers. The emphasis was on the accuracy metric so as to improve the recognition pace of the interruption identification framework. The actualized calculations showed that the decision tree classifier accomplished the most noteworthy estimation of accuracy while the logistic regression classifier has accomplished the least estimation of exactness for both of the datasets utilized.
Design and Creation of Custom Internet of Things Iot Device for Analysis of Drunk and Drowsy Driver Detection
Authors:   Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India,, Jain Prakhar , Yadav Yeshveer Singh ,   Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India,, Khare Nilay ,   Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India,
Published: May 2020

Road Safety is the most crucial aspect in this modern world as the reckless use of the developed technology i.e. vehicles, is leading to human loss. Safety concerns while driving is of utmost importance in our daily lives. It might lead to the loss of lives of even innocent people and loss of property. The evolution of the Internet of Things (IoT) and the continuing increase in the number of sensors connected to the Internet has led to development of various application in our day to day life. Thus, automation in road safety using IoT can help to reduction as well as prevention of accidents. Accuracy is important when it comes to road safety and one must always strive to achieve the highest accuracy, provided there is no trade off’ with inexcusable time. Most of the road accidents are caused due to drowsiness or drunk driving. This paper deals with the design and testing of drunk and sleep-deprived driver detection device. This paper presents a low-cost effective method for drowsiness detection and proposes a method to detect whether the driver is drunk or not. Finally, it lays off a way to communicate with emergency help services. It deals with the design and testing of drunk and drowsy driver detection device.
Tracking Objects on Detector Response using Extended Kalman Filter
Authors:   Computer Science & Engineering, R. V. College of Engineering. , Bengaluru, India, R Hemavathy , G Shobha ,   Computer Science & Engineering, R. V. College of Engineering. , Bengaluru, India.
Published: May 2020

Video analytics plays a very important role in identification or detection and tracking of objects, this intern find application in many fields and domains. Novel learning methods or techniques built on Neural Networks requires larger dataset for training the results, the output obtained depends on how well the training is done. The proposed method of Weighted Cumulative Summation (WCS) is an approach based on background modelling to segment the moving objects. This method adapts and tunes the background variations instantaneously as the video frame arrives. The segmentation obtained is compared with other basic methods. The result obtained infers improvements in segmentation and in removal of ghost effect in the video. Extended Kalman Filter (EKF) is used to track the detector response. The responses of the detection from WCS are provided as input to EKF to track the moving object. The results are tabulated and represented in the form of graphs for analysis. The results are compared with three different video datasets and the results are noticeably good. The methods WCS can be used in the applications were data set is not available.
Character Recognition Based on Euclidean Distance Calculation Over Predictive and Centroid Coordinates
Authors:   Asst. Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida., Ponmaniraj S. , Sharma Sanjay ,   Asst. Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida., Vijay R. ,   Asst. Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida., V Gokul Rajan. ,   Asst. Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida.
Published: May 2020

Now a day people are living with internet technology but those technologies brings many problems to the people through many hacking techniques. Image spam is the one among them. In the earlier stages, hackers used to annoy targeted victims with their fabricated text called spam text. Hackers are passing their bogus information on many ways such as advertising, spam emails, buttons, query distributions etc. From which spam emails are very specific to attack and they are filtered by text based filter. Then attackers nurtured their attacks on new way i.e., spreading spam mails by images. Those images are non related content to the concerned users on their corresponding mails or any web pages. Because of those spam images, text based filter couldn’t identify spam texts. On the basis of an image’s features, Attackers used to embed their spam text or mischief coded links into some of the attracted images. To identify spam contents from an image, security functions of a system must be able to recognize the characters imbedding on any images. This research paper is going to present views on image spam, Data mining approaches for dataset analysis, proposed optical character recognizer model and implementation of character recognition from images using Euclidean distance values.
Information Hiding using Steganography
Authors:   Senior Professor, Computer Science and Engineering department in Galgotias University, Gautam Budhh Nagar, U.P, Sindhu Ritu , Singh Pragati ,   Student B.Tech, Computer Science and Engineering department in Galgotias University, Gautam Budhh Nagar, U.P.
Published: May 2020

The process of hiding data and information is known to be steganography it is done to provide secure communication, in present world there is a demand of sending and displaying data in a hidden format especially when the exchange of information and data is taking place publically, and this is the reason because of which many methods have been proposed for data and information hiding. In this paper data and information are being hidden in digital image format, as it is mostly in demand on the internet. For data hiding there are so many techniques developed some are easy, some are bit tedious as compared to the other and all of these techniques have their own benefits, use and limitation. This paper mainly focuses to present Steganography overview, its demand, advantages and the techniques involved in it. In this paper there is also an attempt to identify which Steganography techniques are more useful and what are their requirements and also it shows which application will have more compatibility with which steganography technique.
Identification of Probable Iron Ore using Ground Magnetic Exploration Technique
Authors:   Mining Engineering, Aditya Engineering College, Surampaelm, Kakinda, Andhra Pradesh, India., Subramanian K.S. Siva , Tripathi Abhishek Kumar ,   Mining Engineering, AMET University, Chennai, India, Kant Ramesh ,   Mining Engineering, AMET University, Chennai, India.
Published: May 2020

Geophysics is one of the branches of natural science which is concerned with the physical process and physical properties of the earth. Exploration physics is the sub branch of the geophysics which is very important for any mining related activities. The exploration activities help the mining industries to locate the probable mineral or ore reserve. There is various physical method of exploration process such as, seismic, gravitational, electrical, magnetic and electromagnetic to locate the position and volume of mineral by direct or indirect approach. In this paper, an identification study was performed using ground magnetic technique to identify the probable iron ore in the site under the study. In the current ground magnetic study, it was observed that the, it is a confident suggestion that iron ore is available in this area. As per the conducted field analysis, the ore bodies available in this area are floats, deposited and in order to rule out this concept Vertical Electrical Sounding (VES) technique was recommended.
Effective Cardiovascular Disease Prediction using Hybrid Machine Learning Techniques
Authors:   Studying Master of Technology, Department of computer science and engineering ,velagapudi Ramakrishna Siddhartha engineering college , kanuru, Vijayawada., Veeranki Madhavi , Bayana Jayanag ,   Sr. Asst. Professor in Velagapudi Ramakrishna Siddhartha Engineering college, dept of computer science and engineering, kanuru, vijayawada
Published: May 2020

In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of different age groups.Heart disease is one of the most fatal problems in the whole world, which cannot be seen with a naked eye and comes instantly when its limitations are reached.There are various data mining and machine learning techniques and tools available to extract effective knowledge from databases and to use this knowledge for more accurate diagnosis and decision making.In this paper, we propose a novel method that aims at finding significant features by applying machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular disease. We produce an enhanced performance level with an accuracy through the prediction model for heart disease with the proposed method hybrid random forest with a linear model.In this paper commonly used machine learning techniques and their complexities are summarized.
Design of High Speed FFT using UrdhvaTiryagbhyam Algorithm and Karatsuba Algorithm
Authors:   Assistant Professor, Department of Electronics and Communication Engineering at SDM College of Engineering and Technology, Dharwad, Karnataka, India, Kerur S. S. , Kunnur Mustaq ,   M.Tech student, Department of Electronics and Communication Engineering at SDM College of Engineering and Technology, Dharwad, Karnataka, India
Published: May 2020

In gift scenario each method has to be compelled to be quick, adept and simple. Fast Fourier transform (FFT) may be a competent algorithmic program to calculate the N purpose Discrete Fourier transform (DFT).It has huge applications in communication systems, signal processing and image processing and instrumentation. However the accomplishment of FFT needs immense range of complicated multiplications, therefore to create this method quick and simple. It’s necessary for a number to be quick and power adept. To influence this problem the mixture of Urdhva Tiryagbhyam associate degreed Karatsuba algorithmic program offers is an adept technique of multiplication [1]. Vedic arithmetic is that the aboriginal system of arithmetic that includes a distinctive technique of calculation supported sixteen Sutras. Using these techniques within the calculation algorithms of the coprocessor can reduce the complexness, execution time, area, power etc. The distinctiveness during this project is Fast Fourier Transform (FFT) style methodology exploitation mixture of Urdhva Tiryagbhyam and Karatsuba algorithmic program based mostly floating point number. By combining these two approaches projected style methodology is time-area-power adept [1] [2]. The code writing is completed in verilog and also the FPGA synthesis on virtex 5 is completed using Xilinx ISE 14.5.
Facial Expression Recognition using Deep Learning
Authors:   UG Student, School of Computing Science and Engineering, Galgotias University, Greeater Noida, Ahmed Suhail , Ponmaniraj S. ,   Assistant Professor, School of Computing Science and Engineering, GalgotiasUniversity, Greater Noida,
Published: May 2020

Facial expression recognition (FER) is now getting extensively popular because of its ability to predict an unknown data-set, and to its extent with some accuracy. An average human being possesses or shows seven different expressions based on the situation, namely anger, sad, happy, surprise, disgust, neutral and scared. Each individual has a unique way to express the afore-mentioned expressions and hence the term “an unknown data-set”. To identify human’s present mindset through facial expressions, many data sets are prepared based on face components (such as lips, cheek, nose, eyes and eye brows etc.,) dislocations and elasticity of all the facial parts. Many facial recognition systems are functioning on muscle distribution analysis from the mother image set’s pixel parameters. This research paper is going to present about image pre processing, facial expression learning methods, classification methods and implementation of FaceEx algorithm for facial expression analysis through FER2013 CNN data sets and Viola-Jones Principle.
A Coin Acceptor Mobile Battery Charging using Solar Panel
Authors:   Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India,, Mathew Ammu Anna , R Anoop J ,   M-TECH in Electrical Machines, APJ Abdul Kalam Technological University,, Vivekanandan S. ,   Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India
Published: May 2020

A mobile phone charging system based on a coin acceptor system connected with solar panel and battery system is a great service to the public at open places. The coin acceptor thus also provides a great profit to the provider and we can install this in any places easily where people gather more such as railway stations, bus terminals, malls, etc. as this system is portable. The energy is obtained from solar panel, so the running cost is also very low. The system is designed with ARDUINO ATMEGA 32 microcontrollers, thus the input pulses while coin acceptor is active is sent to the battery module and mobile phone can be charged. The system will work even in cloudy days because a battery is also included in it.
Design and Material Selection of Screw Feeder of Injection Molding Machine
Authors:   Pursuing, Stream of mechanical engineering at MIT Academy of Engineering, Pune, India., Joshi Nimish , Hambir Prajakta ,   Pursuing, Stream of mechanical engineering at MIT Academy of Engineering, Pune, India., Karande Pranav ,   Pursuing, Stream of mechanical engineering at MIT Academy of Engineering, Pune, India., Gurav Swaraj ,   Pursuing, Stream of mechanical engineering at MIT Academy of Engineering, Pune, India., Kulkarni Venugopal ,   Pursuing, Stream of mechanical engineering at MIT Academy of Engineering, Pune, India.
Published: May 2020

The efficiency of the ‘Injection molding Machine’ lies in the proper designing of screw feeder mechanism. The screw feeding mechanism needs to be setup differently for different materials, molds etc. The proper design includes the work from selecting the appropriate materials, designing for the optimum design, analysis of the designed parts at different flow rates, speed and temperatures. There are various parameters that govern the efficiency of the ’Injection molding Machine’. These parameters include ‘Filling Pressure’, ‘Mold Surface Temperature’, ‘Raw Material Melting Temperature’, ‘Filling Time’ etc.
Construction Cost Analysis of Retaining Walls
Authors:   Civil Engineer T.E. (Technological Educational Institute of Thessaly, Alexiou Aikaterini , Zachos Dimos ,   Civil Engineer T.E. & Mechanical Engineer T.E. (Technological Educational Institute ofThessaly), Alamanis Nikolaos ,   PhD in Stability of Slopes (University of Thessaly, Dept. of Civil Engineering), Chouliaras Ioannis ,   Professor, University of Thessaly, Larissa, Greece. Civil Engineer (Democritus University of Thrace, 1980), Papageorgiou Grigorios ,   Assistant Professor, University of Thessaly, Larissa, Greece.
Published: May 2020

Retaining walls are relatively rigid walls used to support the ground laterally so that it can be held at different levels on both sides [1]. Retaining walls are considered all technical works, which allow the implementation of a sharp change in the level of the earth's surface, in such a way that the ground-construction system presents limited displacement or is marginally restrained. Support structures are mainly used in cases of disruption of soil continuity resulting from an excavation, below the natural surface of the ground, such as when building roads in a difficult geographical terrain with steep slopes. It is also common for them to be used in the construction of basements in urban areas, when there are other buildings or roads around the perimeter. In special cases, functional reasons impose the local elevation of the ground surface with grounding in the area around the construction, such as on bridge piers or in port projects, so it becomes necessary to support the soil mass. Finally, the construction of retaining walls becomes necessary to stabilize and protect natural slopes that present kinematic instability. The purpose of the present work is to compare the cost of constructing three retaining walls (gravity, cantilever, braced) subject to identical ground pressures. The retaining walls were designed using the same finite element software (GEO5), taking into account common parameters for the soil stress, the strength properties of the soil mass, the wall material as well as the diameter of the reinforcing steel bars, so that the results can be absolutely comparable. The market research that followed produced interesting conclusions on the comparison of the cost estimates for the three retaining walls.
Modal and Harmonic Analysis of Bio-Mimic Corrugated Dragonfly Aerofoil
Authors:   Scholar in Department of Mechanical Engineering, GITAM deemed to be University, Hyderabad, India,, Khan Md Akhtar , Padhy Chinmaya ,   Department of Mechanical Engineering,  GITAM deemed to be University, Hyderabad, India,
Published: May 2020

In this present work, free vibration analysis is carried out on the 2-dimensional bio-mimetic corrugated ‘Pantala flavescens’ dragonfly forewing. The numerical modeling based on Finite Element Method (FEM) is developed to predict structural limitation of the dragonfly wings Dragonfly wings bend and twist over the course of flight stroke, causing deformation by a combination of elastic and inertial forces. We found that the wing deformation is smaller during the downstroke and it is revealed that the structural maximum beat frequency of a corrugated dragonfly wing is 38.34 Hz during hovering flight. The modal and harmonic analysis is performed using ANSYS 15 Mechanical APDL to extract the wing’s natural frequency and mode shape of corrugated wing which is significant in design, analysis and manufacturing of analogous MAVs structure.
Mathematical Modeling Buckingham's Theorem and Optimization Technique on Mechanically Alloyed Nanocomposite Materials
Authors:   Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah Saudi Arabia., Sivasankaran S. , Ammar Hany R. ,   Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah Saudi Arabia., Alaboodi Abdulaziz S. ,   Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah Saudi Arabia., Sajid Mohammad ,   Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah Saudi Arabia.
Published: May 2020

This research work is focused to develop and investigate the mathematical linear and non-linear modelling techniques for mechanically alloyed nanocomposites materials. These conventional and non-conventional artificial intelligent models could predict the both physical and mechanical properties of some nanocomposites materials. The conventional techniques such as dimensional analysis using Buckingham -theory, regression analysis and its hybrid approach; and non-conventional approaches like neural networks, fuzzy theory and adaptive fuzzy theory have addressed through this research work. The most significant input parameters which would affect the mechanical alloying processes, namely, milling time (t, min), ball-to-powder ratio (B), milling speed (N, rpm), ball size (D, mm), percentage of reinforcement (R, %) sintering temperature (T, K), sintering time (ts, min) and consolidation pressure (P, MPa) can be used for the various models. The various responses as physical and mechanical properties to be used are crystallite size (d, nm), bulk hardness (H, MPa), bulk density (ρ, kg/m3 ), tensile strength (σy , MPa), matrix particle size (Z, μm), compressive strength (σu, MPa), and percentage of elongation (e, %). Through this research work, we can select an optimum input parameter as per our required output properties, predicting the physical and mechanical behavior of nanocomposites and select the best linear & non-linear methods.
A Machine Learning and Augmented Reality based Framework for Multilingual Product Identification in Retail using Mobilenets and Vuforia
Authors:   Department of Information Technology, Delhi Technological University, New Delhi, India., Bhola Geetanjali , Bansal Amogh ,   Department of Information Technology, Delhi Technological University, New Delhi, India., Aggarwal Divij ,   Department of Information Technology, Delhi Technological University, New Delhi, India., Upadhyay Gagan Kishor ,   Department of Information Technology, Delhi Technological University, New Delhi, India.
Published: May 2020

In the modern world, Machine Learning and Augmented Reality have taken the retail industry by storm. Machine Learning and Augmented Reality have provided a major boost to the industry of interactive retail by providing features such as real-time product detection and identification. The proposed research aims at overcoming several challenges in the present scenario which include the time consuming process of standing in long queues while purchasing the products at supermarkets, personalizing the shopping experience in order to maintain the privacy of the users, helping the customers to maintain their specified budgets, reducing the high labor costs and overcoming the language barriers while pertaining to selling products to groups with different linguistic backgrounds by combining the real-world interaction of Augmented Reality and Machine Learning-based product identification. This proposed research work aims at providing the customers with a futuristic shopping experience while maintaining their specified budgets. The Machine Learning-based object detection approach detected the products with around 96% accuracy and the Vuforia-based Augmented Reality approach detected objects with maximum accuracy.
Efficiency of ECE Applied on RC Slab using Locally Available Un-Galvanized Steel with Conductive Cement Paste Anode
Authors:   Structural Engineering department, Ain Shams University, Cairo, Egypt., EL-sayed Nourhan , Kohail Mohamed ,   Structural Engineering department, Ain Shams University, Cairo, Egypt, Khalaf Mohamed A. ,   Structural Engineering department, Ain Shams University, Cairo, Egypt
Published: May 2020

Electro-chemical Chloride Extraction (ECE) is considered one of the most effective technique used to extract chloride ions from reinforced concrete structures. Effectiveness of using ECE depends on some important factors such as anode type, current intensity, extraction duration, type of rebar and chemical properties of concrete. On the other hand, ECE may cause some detrimental effects on some mechanical properties of concrete and steel such as a reduction in bond and compressive strengths of concrete, and embrittlement (i.e. reduction in ductility) ductility of reinforcing steel. The major aim of this research work was to investigate the effectiveness of ECE using locally available un-galvanized steel mesh with conductive cement paste anode as a new type of anode on a reinforced concrete slab as a structural element. The slab behavior before and after ECE was studied by determining compressive strength, water absorption rate, concrete chloride content and steel corrosion potential. The slab behavior was studied taken into consideration the established steel arrangement with spacing 20 cm between re-bars. Another aim of this research work was to investigate the effect of initial chloride content on chloride extraction efficiency by applying optimum current intensity and duration (3 A/m2 and 6 weeks) on cylinders with pure chloride content 0.4% and 0.8% (by weight of cement). Effectiveness of ECE with small initial chloride content 0.4% and 0.8% was compared with that of high initial chloride content (2.5%) in order to know if the initial chloride content is an important factor on ECE effectiveness or not.
THD Reduction in Multi Level Inverters based on Multicarrier Pulse Width Modulation Technique
Authors:   AP, EEE, Dr Mahalingam College of Engineering and Technology, India, B Kishore , Senbakaraj  ,   Student, Bachelor of Engineering (B.E.),Electrical & Electronics Engineering, Dr.Mahalingam College of Engineering & Technology, India, Periyasamy  ,   Student, Bachelor of Engineering (B.E.),Electrical & Electronics Engineering, Dr.Mahalingam College of Engineering & Technology, India, Poongkabilan  ,   Student, Bachelor of Engineering (B.E.),Electrical & Electronics Engineering, Dr.Mahalingam College of Engineering & Technology, India
Published: May 2020

Due to the advent of technology, electronic equipments are much more sensitive to harmonic and its analysis play an important role whereby reducing the distortion due to harmonics needs attention. To meet the requirements of the industries, harmonic free-high rating power sources are in high demand. Total Harmonic Distortion (THD) is an indicator of AC voltage source quality. In case of inverters, one such way to reduce THD would be the use of Pulse Width Modulation (PWM). The existing methods mainly use the low frequency pulse width modulation techniques for the switching. Control methods employing high frequency switching techniques held in controlling THD with proper application of filters. This paper analyses THD in multilevel inverters using multicarrier PWM technique with five pulse width modulation technique through MATLAB simulations. Finally, a comparison is done to find the less harmonic generated PWM method using fewerfilters.
Protocol Dissector Tool for Deoding in Band Packet Header on A Switch
Authors:   Dept. of Computer Science & Engineering, RV College of Engineering, Bangalore, India, Sinha Dipayan , G. Shobha ,   Dept. of Computer Science & Engineering, RV College of Engineering, Bangalore, India.
Published: May 2020

Serviceability of networks is a vital part of network management which helps in isolating faults and triaging network issues. Packet analyzers help in identifying faults, security threats and other implementation flaws in the networking software by capturing network traffic and analyzing it. Packet analyzing is heavily based on protocols which need to be decoded from the raw format and presented to the user in an understandable format. In this work, a Command Line Interface based protocol dissector tool has been developed which runs on the operating system of a switch and performs packet decoding by capturing in band packets flowing between control and data plane of the switch. The tool also provides support for packet filtering in order to only capture packets which the user needs. Existing packet dissectors run on Wireshark in the form of Lua plugins. However, in this work the implementation of the entire system is based on C. Some of the public protocols decoded by this tool involve IPv4, IPv6, UDP, TCP, ARP, ICMP and so on. Also, this tool supports decoding of private protocols as well.
Anomaly Detection in Control Data of Programming Execution by Context Sensitive Hidden Markov Model
Authors:   Lecturer, Dept. of Technical Education ,Government of Telangana State and Research Scholar, JNTU University Hyderabad, India, Reddy Jidiga Goverdhan , Porika Sammulal ,   Professor, Dept. computer engg, JNTUH Nachupally, Jagitial, Affiliated to JNTU University, Hyderabad, TS State, India,
Published: May 2020

The inconsistency is a major problem in security of information in computer is two ways: data inconsistency and application inconsistency. These two problems are raised due to bad structure of design in programming and create security breaches, vulnerable entries by exploiting application codes. So we can discover these anomalies by design of anomaly detection system (ADS) models at system programming (coding) levels with the help of machine learning. The security vulnerabilities (anomalies) are frequently occurred at potential code execution by exploitation or manipulation of instructions. So, in this paper we have specified various forms of extensions to our work to detect wide range of anomalies at coding exploits and use of a machine learning technique called Context Sensitive-Hidden Markov Model (CS-HMM) will improve the overall performance of ADS by discovering the correlations between control data instances. In this paper we are going to use Linux OS tracing kits to collect the necessary information such as control data instances (return addresses) collected from system as part of artificial learning. The results evaluated through practice on various programs developed for work and also uses of some Linux commands for tracing, finally compared performance of all those input datasets generated live (artificially). After that, the CS-HMM is applying to datasets to scrutinize the anomalies with similarity-search and correlation of function control data of program and classification process determines the anomalous outcomes.
Modular on-Road Self-Guided Automatic Vehicle and Concept of Self-Power Transmission
Authors:   Student, B.tech, Electrical and Electronic Engineering, Galgotias College of Engineering and Technology., Varshney Akansha , Aryan Abhishek ,   Student, B.tech, Electrical and Electronic Engineering, Galgotias College of Engineering and Technology, Singh Ashima ,   Student, B.tech, Electrical and Electronic Engineering, Galgotias College of Engineering and Technology, Dubey Naveen ,   Student, B.tech, Electrical and Electronic Engineering, Galgotias College of Engineering and Technology, Singh Anubhav Kumar ,   Student, B.tech, Electrical and Electronic Engineering, Galgotias College of Engineering and Technology
Published: May 2020

A self-guided automated robot is basically a robot designed to follow a line or path which is already pre-determined by the user. The main focus of this report is to design a selfguided automated path following robot which is more reliable by eliminating the demerits of the traditionally used robots by the idea of making it a magnetic field line following robot. This paper presents the principle of a magnetic field line following robot and also explains its design and working. Here, the design of a self-guided automated magnetic field line following robot using LC tank circuits and resonant coupling for navigation purposes is explained. Also this paper gives the idea of a path that can be made invisible and can be buried under the ground and also focuses on the various electrical circuitries involved in this self-guided automated magnetic field line following the robot. This paper discusses all the components that are used in this self-guided automated vehicle. The applications and the advantages of this self-guided automated magnetic field line following robot over the traditional path following robots are discussed along with the future upgradations that can be done to refine it further.
Behavior of Embankments Constructed on Soft Soil Deposits Reinforced with Rigid Inclusions
Authors:   Structural Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt., El-Gendy Mohamed M. S. , Fayed Ayman L. ,   Structural Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt., El-Mossallamy Yasser M. ,   Structural Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Published: May 2020

Large settlement associated with the construction of embankments on soft soil deposits is a challenging geotechnical problem that needs a special treatment. Reinforcing the embankments utilizing geosynthetics is an effective technique used to reduce the differential settlement, while the total settlement is unchanged. A more efficient technique is utilizing a combination between soft soil reinforcement using piles or rigid inclusions, thus increasing the equivalent stiffness of the entire soft soil stratum, and a load transfer layer reinforced by one or more layers of geosynthetics on top of the inclusions' head, in order to improve the load distribution process between the rigid elements. In this paper, the behavior of soft soil deposits reinforced with rigid inclusions is studied using three-dimensional finite element analysis, utilizing the "PLAXIS 3D 2020" software. Verification of the adopted modeling procedures is performed by the back analysis of a well-documented case study of a physical laboratory scaled model. Results of the numerical model showed a good agreement with the laboratory measurements in terms of both the settlement and load distribution aspects. Furthermore, results of both the developed numerical model and selected performed numerical analyses, from the literature, for the same case study, were compared showing better efficiency of the developed model compared to others and more consistency with the real behavior of the laboratory model. The verified model confirmed the efficiency of increasing the friction angle of the embankment on the load transfer mechanism between the rigid inclusions, and hence decreasing the resultant settlement.
Biomarkers for microglia activation in neuropathic pain
Authors: Widyadharma Putu Eka , Vania Aurelia , Barus Jimmy FA , . Yudiyanta , Purwata Thomas Eko
Published: May 2020

Neuropathic pain (NP) is a result of direct disturbances of somatosensory pathways. Its pathophysiology includes various mechanisms. Recent studies have reported an important role of microglia in the NP mechanism. There are several chemical molecules which are involved in microglia activation. The activated microglia will, in turn, enhance some receptors expression that can be used as markers of its activation. Though we still need future studies about precise microglia role in NP mechanism, the chemical mediators that initiate microglia activation and the alteration of some receptors in the activated microglia which have been found from previous studies can be the interesting future research materials and the promising target for a new therapy for NP.

Citation: Widyadharma PE, Vania A, Barus JFA, Yudiyanta, Purwata TE. Biomarkers for microglia activation in neuropathic pain. Anaesth pain intensive care 2020;24(1):___

DOI: https://doi.org/10.35975/apic.v24i1.

Received – 12 June 2019,

Reviewed – 15 September 2019, 29 February 2020,

Accepted – 2 March 2020;
Dr Manzoor Ellahi
Authors: Malik Tariq
Published: May 2020

The First month of 2020 took the life of another very humble and noble anesthesiologist. He was a kind-hearted person, who only spoke when very essential. Dr Manzoor Ellahi breathed his last on 11th January 2020.

He was born on 27th March 1944. He qualified MBBS from Nishtar Medical College Multan and soon joined King Edward Medical College / Mayo Hospital, Lahore, from where he successfully completed his training in anesthesiology and obtained Diploma in Anesthesia (DA). He served as a busy practicing anesthesiologist in different hospitals of Rawalpindi, and even run a pain clinic in the evening time. Dr Manzoor Ellahi was a very active, energetic and bold anesthesiologist of the Rawalpindi city. But he never left his great love for humanity, and always helped poor and needy patients.
基于应用人才培养的高职院校经济学教学探讨
Authors: 杨 寿有 , 程 彩霞
Published: May 2020

中国高等职业院校经济学教学具有很强的理论性，经济关系相对复杂，很难实现预期的教学效果，为了将人才培养目标贯穿到高等职业院校经济学课程教学中，提高经济学教学的整体水平，教师需要深入分析经济学课程特点、人才培养目标，应用型人才培养目标的课程体系落实到经济学课程中，深入分析教学中出现的问题，论文主要对基于应用人才培养的高职院校经济学教学进行了分析。
开通长交路成本效益分析
Authors: 樊 海
Published: May 2020

2015 年，国家能源集团铁路的巴准—大准—准池通道已经率先实行机车长交路；2018 年 8 月 14 日，国家能源集团巴准铁路、大准铁路、准池铁路、朔黄铁路的首列“长交路”列车正式开行。论文通过阐述推行机车长交路的重要意义并分析测算了长交路的开通成本、效益，以期为相关工程提供参考。
基层党建引领社会治理创新的思考———以象山丹东街道为例
Authors: 葛 宇乾
Published: May 2020

以基层区域化党建为核心，构建核心稳定、充满活力的新型社会治理体系；积极推动社会治理重心向基层下移，落实多元共治，实现政府治理和社会调节、居民自治良性互动。浙江象山县丹东街道社会治理创新实践活动提供了新的方式和思路。
重商主义不同时期的经济脸谱
Authors: 朱 志宇
Published: May 2020

重商主义是商业阶级对公众的欺骗。亚当·斯密在《国富论》中评论的“重商主义体系”后来以“重商主义”为人们所熟知。重商主义起源于古希腊时期，至今仍对各国经济发展产生影响。考察重商主义在经济发展不同时期的表现，将能找出隐藏在商业内部不为人知的更深层次的东西。
浅析招投标管理存在的问题
Authors: 刘 帅敏
Published: May 2020

《招标投标法》及《招标投标实施条例》中对“依法必须招标的工程建设项目”和招投标程序进行了详细规定，招标成为工程建设项目选择承包商的主要方式。随着法律、法规的健全，招投标的过程逐步规范、透明、公正，但在实际操作过程中，还存在着诸多问题，影响着招投标结果的公正性，进而影响了建设项目的工程质量，限制了中国工程建设的有效发展。
基于行为经济学的甜品营销分析———以星巴克为例
Authors: 蔡 文清
Published: May 2020

伴随着中国的改革开放，外来资本对中国企业造成了强烈冲击，本土市场对营销策略的需求日益强烈。与此同时，国际学术界对消费者行为的研究也在蓬勃发展。从市场调研结果来看，中国的甜品市场有非常巨大的需求潜力，然而大部分市场份额被国际企业占据。论文从行为经济学的视角研究美国品牌星巴克的营销模式，以期为本土企业提出适宜的营销建议。
基于绿色节能理念的民用建筑给排水设计方案研究
Authors: 钟 敬来 , 张 理鹏
Published: May 2020

“绿色、环保”是当前建筑行业发展设计的重要指导思想，尤其是在民用建筑的给排水设计方案的应用指导上，更是给予了高度关注。论文是基于绿色节能理念的民用建筑给排水设计方案研究。
现有老旧沉箱结构再利用安全性评估
Authors: 万 涛
Published: May 2020

沉箱结构是重力式码头重要的构件之一，对于老旧沉箱结构是否能够再次发挥作用值得研究。但对于其替代的安全性应进行必要的检测评估。论文结合工程实例，对现有老旧沉箱结构再利用安全性评估进行研究分析。
菱形挂篮在大跨度悬浇变截面连续箱梁施工中的应用
Authors: 刘 保生
Published: May 2020

论文对菱形挂篮在大跨度悬浇变截面连续箱梁施工中的优势进行了分析，以跨秦淮新河高架桥悬浇变截面连续箱梁挂篮施工为实例，对菱形挂篮施工进行了详细阐述。
公路桥梁施工中挂篮悬浇施工应用技术分析
Authors: 刘 飞
Published: May 2020

挂篮悬浇技术作为道路桥梁建设中的核心施工技术，在基础设施建设中发挥了重要作用，在一定程度上提升了公路桥梁工程的施工质量。论文针对现阶段公路桥梁施工中挂篮悬浇技术的应用情况进行分析，探究了企业应用原理和相应的施工要点，以便为公路桥梁工程的建设打好基础。
节水灌溉技术在农田水利工程中的应用
Authors: 韩 迪
Published: May 2020

节水灌溉技术在农业中的应用，不仅能促进中国农业的发展，而且还能够节约水资源。目前，中国的节水灌溉技术取得了很大的进展，提高了其在农业生产中的应用，为中国的农田水利工程增加了效益，也节约了水资源，符合国家对于技术与生产的和谐发展要求。
风力分级系统在超贫低钒钛磁铁矿终粉磨中的应用及优劣势分析
Authors: 张 亮
Published: May 2020

风力分级系统在超贫低钒钛磁铁矿终粉磨系统中的应用，能够实现破碎后物料的有效分级。但在生产过程中出现各种问题，直接影响生产系统的稳定运行。论文对风力分级系统在终粉磨系统中的应用情况及经验进行分享，以供参考。
宽厚板生产中动态软压下技术的应用
Authors: 郭 大海
Published: May 2020

论文对宽厚板铸机计算机控制系统结构进行简要介绍，对动态软压下技术应用于宽厚板生产的关键点进行分析，并提出相关对策，总体实现了动态软压下技术应用于宽厚板生产的高效化。
农村环境污染的生态修复
Authors: 张 琪
Published: May 2020

随着国家生态文明建设的推进，人们的环保意识也逐渐增强，环境质量关系着居民的健康，治理环境污染成为每个人的责任，生态修复机制是合理有效的修复方法，对环境的损害也比较小，可以有效地降低水污染，帮助污染物自我消化，从而更好地保护环境，节约资源。
国际主题酒店的设计研究———深圳观澜湖 Hard Rock 酒店
Authors: 王 真
Published: May 2020

近年来，旅游业的飞速发展，使人们对酒店的需求已不仅限于食宿等传统功能，而是更希望借助酒店特色体验当地人文风情，丰富出行感受。主题酒店正是以其独特的体验性为特色，迎合了消费者心理，成为近几年酒店设计行业的关键词。论文以实际项目为例，总结归纳了主题酒店设计中的原则与要素，以期能为主题酒店的设计提供更多策略。
多跨悬浇连续梁合龙施工注意事项
Authors: 谭 强
Published: May 2020

合龙段施工质量受到温度、配重、混凝土质量、合龙顺序等诸多因素影响，合龙段施工是悬臂法施工桥梁梁体系转化的关键环节，合龙段施工质量好坏决定了悬臂浇筑桥梁整体质量，参与建设的各方都需高度重视。
建设工程招标投标与合同管理
Authors: 裴 凯
Published: May 2020

合同是约束双方的法规性文件，是签订双方的行为准则。论文简单的说明了建设工程招投标与合同管理之间的联系，招投标与合同管理之间存在的问题，以及解决问题的有效措施。
公路路基路面施工管理问题及解决对策
Authors: 刘 东
Published: May 2020

为了实现公路路基路面施工管理科学性的目标，需要加强施工方案编制到竣工全过程的管理，根据公路工程实际情况合理地调整管理模式，提升公路路基路面施工的整体质量，论文主要分析了公路路基路面施工管理问题及解决对策。
房地产企业项目安全、质量管控思路及方法
Authors: 王 海旭
Published: May 2020

项目的安全和质量管理一直都是房地产企业项目管理工作的重点，对于房建工程的后期使用和保障施工人员的安全方面意义重大，因此，近年来，房地产企业也越来越重视房建项目的安全和质量管控。
房建施工监理现场的质量管理策略探究
Authors: 徐 伯和
Published: May 2020

随着近年来中国经济和科技的持续进步，中国建筑行业发展得到了极大的进步。在房建工程施工过程中，监理现场的质量管理对于保证工程质量至关重要。基于此，论文分析房建工程中开展施工监理的意义，探讨了房建施工监理现场质量管理的长效策略，以供相关人士参考。
МЕТАФОРИЧЕСКАЯ РЕПРЕЗЕНТАЦИЯ КОНЦЕПТА СЛОВО В ХУДОЖЕСТВЕННОМ ТЕКСТЕ
Authors: GALIEVA Margarita
Published: May 2020

В статье проводится сопоставительный анализ образной составляющей концепта Word/ Сўз/ Слово на материале английского, узбекского и русского языков. Концепт Слово является одним из наиболее уникальных и присущих всем культурам концептов. Исследование образной составляющей данного концепта в плане национально-культурной специфики является интересным, так как выявляет особенности когнитивно-культурологического и метафорического восприятия определенного этноса. В статье выделены два основных типа метафоры: перцептивная и антропоморфная. В свою очередь, перцептивная метафора подразделяется на визуальную, тактильную, звуковую и вкусовую. Наибольшими подтипами представлена визуальная метафора, которая включает в себя: а) предметную; б) вегетативную; в) натуроморфную; г) зооморфную; д) палеоморфную; е) цветовую и ё) пространственную. Антропоморфная метафора основана на персонификации и дифференцируется на метафоры, ассоциирующимися с а) морально-нравственными; б) интеллектуальными; в) эмоционально-психологическими; г) физическими характеристиками человека. Ценностная ориентированность антропоморфных метафор позволяет рассматривать её не только в качестве компоненты образной составляющей, но и значимой компоненты ценностной составляющей концепта. Особенностью обеих типов метафор является их свойство функционирования в комплексе взаимодополняющих друг друга различных типов и подтипов метафор в отрезке текста
L’IA et la reconfiguration de la fonction RH
Authors: de La Rochefoucauld Mehdi
Published: May 2020

Après la digitalisation de l’entreprise, se pose désormais la question de l’intelligence artificielle au sein des processus de gestion. Ce papier a pour principal objectif de mettre en lumière la posture des cadres de la fonction RH face à l’intelligence artificielle. À partir d’une étude empirique, nous avons pu sonder 15 responsables RH issus de grandes entreprises. Les spécialistes interrogés mettent en exergue les impacts de l’IA sur la GRH qui passent par une remise en cause de la fonction RH, une amélioration du geste professionnel et un intérêt croissant pour l’autonomie et l’expérience collaborateur. Notre principale contribution demeure dans la verbalisation des professionnels RH de leur posture et leur perception de l’IA à l’aune du changement.
Effet du volume des données sur la qualité des décisions marketing
Authors: Zaïdi-Chtourou Sabrina
Published: May 2020

Dans le cadre de la prise de décisions marketing, l’intégration et l’organisation de volumes importants de données sont un facteur d’efficacité. Une étude quantitative menée sur une centaine de décideurs marketing montre l’effet du volume de données sur la qualité des décisions prises. Si l’interprétation et la pertinence de l’information sont des facteurs explicatifs de meilleures décisions marketing, la quantité de données ne l’est pas.
Toward an analytical model of social-media marketing capabilities
Authors: Kefi Hajer , Abdessalem Talel , Indra Sitesh
Published: May 2020

In this research, we adopt a design science approach to develop an analytical framework of social media capabilities of the firm. The approach has been applied in the case of five brands in the cosmetics industry using social network analysis, consumer engagement, descriptive statistics and sentiment analysis. The findings allow us to enlighten the competitive positioning of these brands during the period under study.
Comment accélérer l’adoption des objets connectés ?
Authors: Bouveret Violette , Macé Sandrine
Published: May 2020

Dans cet article, nous nous interrogeons sur les facteurs favorisant l’adoption des objets connectés par les clients et plus précisément sur ce qui incite ces derniers à accepter de partager leurs données personnelles. Nous approchons la question sous l’angle de la confiance ce qui nous amène à nous tourner vers la théorie de la justice que nous appliquons à la connectivité de l’objet. Cela nous permet de proposer des leviers de création de confiance mobilisables par les entreprises et les académiques et de conclure sur une proposition de segmentation des clients en fonction de leur propension à se dévoiler.