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Proceedings of

9th International Conference on Advances in Computing, Communication and Information Technology CCIT 2019

Date
08-Dec-2019
Location
Rome , Italy
Authors
35
ISBN
978-1-63248-181-8

14 Articles Published

1. SYSTEM DESIGN OF MULTI LINGUAL MOBILE RAPID SENTENCE READING

Authors: TOSHIYUKI MAEDA

Abstract: This paper presents a system design of multi-lingual enhanced Rapid Serial Visual Presentation (RSVP) system MulLinR, which supports languages written continuously (non-spaced) and spelled with nonalphabetic characters. Our prototype accepts Chinese and Japanese for the time being. We express the system design of our prototype. One of the features of the system is that it is fully written in JavaScript, and so it is a standalone application without a network connection. For the separation of words, we introduce TinySegmenter which use feature quantity of characters and their combinations as N-gram, character kinds such as Kanji, Kana, etc. We discuss the experiment with a variety of presentation time intervals depending on the word length.

Keywords: estimations, valid, infinite time interval, regular-nominal, singular cases;

Pages: 1 - 4 | DOI: 10.15224/978-1-63248-181-8-01

2. JOINT DISTANCE AND AZIMUTH ANGLE ESTIMATION USING AN UWB-BASED INDOOR LOCALIZATION SYSTEM

Authors: JEAN-CHRISTOPHE COUSIN , MURIEL MULLER , NEL SAMAMA , NOUR AWARKEH

Abstract: This paper presents a ranging test conducted in a standard indoor environment using an ultra-wideband (UWB) radar system. The position is determined by jointly estimating the distance using the Energy Detection (ED) method, and the Azimuth angle using Phase Correlation (PC) method. The obtained results show that this UWB ranging system can improve the angular resolution compared to traditional Indoor Localization Systems (ILSs).

Keywords: indoor localization, UWB, phase correlation, energy detection, azimuth angle.

Pages: 5 - 9 | DOI: 10.15224/978-1-63248-181-8-02

3. INTELLIGENT TECHNIQUE OF CONSTRUCTING EXACT STATISTICAL TOLERANCE LIMITS TO PREDICT FUTURE OUTCOMES UNDER PARAMETRIC UNCERTAINTY FOR PROGNOSTICS AND HEALTH MANAGEMENT OF COMPLEX SYSTEMS

Authors: Gundars Berzins , Konstantin N. Nechval

Abstract: The problem of constructing one-sided exact statistical tolerance limits on the kth order statistic in a future sample of m observations from a distribution of log-location-scale family on the basis of an observed sample from the same distribution is considered. The new technique proposed here emphasizes pivotal quantities relevant for obtaining tolerance factors and is applicable whenever the statistical problem is invariant under a group of transformations that acts transitively on the parameter space. The exact tolerance limits on order statistics associated with sampling from underlying distributions can be found easily and quickly making tables, simulation, Monte Carlo estimated percentiles, special computer programs, and approximation unnecessary. Finally, numerical examples are given, where the tolerance limits obtained by using the known methods are compared with the results obtained through the proposed novel technique, which is illustrated in terms of the extreme-value and tw

Keywords: future outcome, extreme-value distribution, two-parameter Weibull distribution, parametric uncertainty, Type II censored data, statistical tolerance limits, prognostics and health management of complex system

Pages: 10 - 27 | DOI: 10.15224/978-1-63248-181-8-03

4. UNDERSTANDING IS MANAGEMENT IN SMALLER COMPANIES

Authors: SEPPO SIRKEMAA

Abstract: Information systems management can be challenging in smaller organizations. Typically, it is a question of managing scarce resources. Money is a limited resource, but also expertise is important, especially in smaller organizations. Information systems management is often a question of understanding the key areas in the infrastructure. Managing and developing key processes and areas in the organization is needed so that robustness and flexibility can be built into information systems. The starting point is here that information systems and technologies should enable rather than restrict, and support business goals and targets in the best possible way. In this article we argue that information systems should be managed, especially user support arrangements and backup procedures need to be well arranged. This is important in all organizations, also in smaller companies. The reliability and trustworthiness of technologies and systems are important, these are the elements that are the basi

Keywords: information systems, management, technology

Pages: 32 - 36 | DOI: 10.15224/978-1-63248-181-8-05

5. SIMULATION OF ELECTRON BEAM WELDING OF 316L STAINLESS STEEL THIN PLATES

Authors: DMITRIY TRUSHNIKOV , ELENA KOLEVA , GEORGI MLADENOV , LILYANA KOLEVA , TSVETOMIRA TSONEVSKA

Abstract: In this paper the simulation of electron beam welding of thin 316L stainless steel thin plates by a moving linear heat source is considered. Regression models for the molten pool geometry characteristics, depending on the electron beam power and the welding velocity are estimated. The thermal histories and the cooling rates defining the microstructure and the distribution of the mechanical properties of the welded samples are also estimated. The influences of the initial temperature T0 and the welded sample thickness on the temperature distributions are demonstrated.

Keywords: electron beam welding, stainless steel 316L, heat model, linear heat source

Pages: 37 - 42 | DOI: 10.15224/978-1-63248-181-8-06

6. SOFTWARE FOR ELECTRON BEAM MELTING SIMULATION

Authors: ELENA KOLEVA , GEORGI MLADENOV , LILYANA KOLEVA , TSVETOMIRA TSONEVSKA

Abstract: In this paper the developed software for simulation of the temperature distributions in the cast ingots at electron beam drip melting for different materials is presented. The influence of the change of the process parameters electron beam power, casting velocity and the beam radius on the temperature distributions in the cast ingot and the parameters of the molten pool can be investigated. Quasi steady-state two-dimensional heat model is implemented for the simulation of the temperature distribution in the cast ingots from different materials.

Keywords: electron beam drip melting, heat model, temperature distribution, regression models, simulation software

Pages: 43 - 47 | DOI: 10.15224/978-1-63248-181-8-07

7. ETHICAL CONDUCT OF E-LEARNERS AND E-INSTRUCTORS IN BLENDED LEARNING APPROACH AT THE UNIVERSITY OF JORDAN

Authors: MUHANNAD AL-SHBOUL

Abstract: Effective teaching-learning participation in e-Learning necessitates both students and instructors to strike a balance of respect and tolerance with one another. In this perspective, participation in e-Learning does not differ much from participation in a conventional face-to-face classroom. In fact, the former requires a broader set of rules and policies to establish proper ethical conduct to avoid, if not resolve, actions that may be deemed inappropriate in e-Learning. In light of this awareness, this paper explores the actions of ethical conduct of e-Learners and e-Instructors in Blended Learning Approach, an e-Learning platform/portal at The University of Jordan. Discussion is further explored with some thoughts on current and future challenges facing the ethical perspectives of e-Learning within the Jordanian context.

Keywords: Ethical conduct, Ethics, e-Learning, Learning Management System, The University of Jordan

Pages: 48 - 55 | DOI: 10.15224/978-1-63248-181-8-08

8. DEEP REINFORCEMENT LEARNING BASED TRAFFIC CONTROL SYSTEM

Authors: BRYAN CHUA SECK HOW , FAZILA MOHD ZAWAWI , KAMARULAFIZAM ISMAIL, , NG TING SHENG

Abstract: Existing traffic light controls are ineffective and causes a handful of problems such as congestion and pollution. The purpose of this study is to investigate the application of deep reinforcement learning on traffic control systems to minimize congestion at a targeted traffic intersection. The traffic data was extracted, analyzed and simulated based on the Poisson Distribution, using a simulator, Simulation of Urban Mobility (SUMO). In this research, we proposed a deep reinforcement learning model, which combines the capabilities of convolutional neural networks and reinforcement learning to control the traffic lights to increase the effectiveness of the traffic control system. The paper explains the method we used to quantify the traffic scenario into different matrices which fed to the model as states which reduces the load of computing as compared to images. After 2000 iterations of training, our deep reinforcement learning model was able to reduce the cumulative waiting time of al

Keywords: Traffic Light Control, Deep Reinforcement Learning, SUMO

Pages: 56 - 60 | DOI: 10.15224/978-1-63248-181-8-09

9. COLLISION AVOIDANCE AND DYNAMIC SLOT SCHEDULING IN MULTI-HOP TDMA BASED AD-HOC NETWORKS USING GENETIC ALGORITHM

Authors: MUHAMMAD UMAR FAROOQ , RUKAIYA , SHOAB AHMED KHAN

Abstract: ollision free dynamic slot scheduling in ad-hoc networks is NP complete problem. In most of the distributed networks, scheduling is performed by cluster heads or relay nodes. A sophisticated method is needed for nodes to perform dynamic schedule on their own and update the state of resources. Recently, neural network and few heuristic approaches are used to solve the problem. In this paper, we propose a heuristic based method on the idea of generating optimal solutions. The arithmetic crossover and cyclic permutation use random generated slot vectors of neighbors, broadcast during the scheduling period to create an initial population. The technique uses elitism to highlight one-hop and two-hop collisions and makes the information usable in finding valid solutions. The operations provide optimal scheduling solutions which are used in next generation. The method increases collision av

Keywords: Ad-hoc network, collision avoidance, genetic algorithm, slot scheduling, time division multiple access

Pages: 61 - 67 | DOI: 10.15224/978-1-63248-181-8-10

10. TIME SERIES MODEL FOR PREDICTING GROUND-LEVEL OZONE

Authors: KUNLAWEE MANWONG , PASAPITCH CHUJAI

Abstract: This research is a comparison for forecasting methods for ground-level ozone using ARIMA (Auto-Regressive Integrated Moving Average) and GARCH (Generalized Autoregressive Conditionally Heteroskedastic) for the forecasting of four places in Thailand, from January 2013 to August 2018. The results obtained compare between the two models above mentioned in order to find the most accurate one, considering the lowest RMSE (Root Mean Square Error) and the lowest MAPE (Mean Absolute Percentage Error). According to the experiment, the most suitable method is GARCH which is good for the 1-2 hours early forecasting.

Keywords: Ground-Level Ozone, Time Series, ARIMA model, GARCH model

Pages: 74 - 79 | DOI: 10.15224/978-1-63248-181-8-12

11. SOLUTION OF THE VOLTERRA EQUATION

Authors: Ahmad Adeeb Mahmoud Obeidat , Atallah Thamer Al-Ani

Abstract: In this paper we introduce a series solution for Volterra Equation with limits of integration from 0 to which is a generalization of the classical Volterra equation for .

Keywords: integral equation, Maclaurin series, Leibniz Rule, Functional- differential equations, Volterra equation

Pages: 87 - 90 | DOI: 10.15224/978-1-63248-181-8-14

12. BEST PRACTICE FUNDAMENTALS IN SMART GRIDS FOR A MODERN ENERGY SYSTEM DEVELOPMENT IN JORDAN

Authors: ALMOFLEH ANWAR , FAISAL Y. ALZYOUD

Abstract: The incoming technologies and the fifth generation in telecommunication systems are characterized by the spread of IoT sensors and the application of IPv6, as internt will be eveywhere with zero cost. But, unfortuntly the proliferation of IoT devices will consumes a lot of energy, and embrace toxic pollution and E-waste. To utilize the benefits of smart devices and reduce the harmeful of their applications, there isatendecy to apply green IoT devices and green energy aspects. Smart grid starts to arise in the horizon and a plenty of researches are done to utilizethe use of energy, so smardgrids technology is considered an important and dominant factor for modern community to achieve several objectives like energy security, cost eduction, and economic factors that mitigate climates changes by reducing the emission of CO2. Smart grids can adapt to the profliration of energy consumption resources by integratingdifferent renewable energy resources and applying recharging systems like elect

Keywords: IoT, JNES,PV , RES , SGN

Pages: 80 - 86 | DOI: 10.15224/978-1-63248-181-8-13

13. SMART CUSTOMER CARE USING AI-BASED APPROACH

Authors: PASAPITCH CHUJAI , WIROOT KLAKHAENG

Abstract: Artificial Intelligence is getting as smart as human and it is capable of replacing humans in many fields, for example, in medical and in education fields or in business. One of the reasons to use AI was for customers service and care. In this study, the researcher has developed a simulation program Chatbot to assist the authorities on the fishing license, by collecting some samples and information from a helpdesk center. The researcher then used this data to analyze and design responding format of the program, which was developed by Dialogflow and Python. Program efficiency and users satisfaction can be examined through an evaluation form, with is classified into five rating scales with two points of view: program design and use as well as program response and accuracy. The program design and use are focused on efficiency, feature and process, chat design and reliable analysis. The results of the program design and use can be explained as follows: practical delivery was 4.35 in ratin

Keywords: Chatbot, Customer Care, Artificial Intelligence, National Language Processing

Pages: 68 - 73 | DOI: 10.15224/978-1-63248-181-8-11

14. SOLUTION OF THE VOLTERRA EQUATION

Authors: Ahmad Adeeb Mahmoud Obeidat , Atallah Thamer Al-Ani

Abstract: In this paper we introduce a series solution for Volterra Equation with limits of integration from 0 to which is a generalization of the classical Volterra equation for .

Keywords: ntegral equation, Maclaurin series, Leibniz Rule, Functional- differential equations, Volterra equation

Pages: 87 - 90 | DOI: 10.15224/978-1-63248-181-8-14

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