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Proceedings of

9th International Conference On Advances In Computing, Control And Networking ACCN 2019

Date
21-Jul-2019
Location
London , United Kingdom
Authors
30
ISBN
978-1-63248-172-6

19 Articles Published

1. ORTHOGONAL MATCHING PURSUIT WITH A NORMALIZED RESIDUAL BASED STOPPING CRITERION

Authors: LING-HUA CHANG , WEN SEN LIU , JIA FU WU

Abstract: Orthogonal matching pursuit (OMP) is a commonly used algorithm in compressed sensing (CS) for estimating a sparse vector/signal x from linear measurements y m , where m n . There are two generally stopping criteria adopted in the iterative OMP. One, assuming the number of nonzero entries of the sparse vector x is known, stop the algorithm after exactly K iterations. The other halt the pursuit if the strength of the residual is smaller than some threshold. These two criteria respectively rely on certain knowledge about the signal and the environment/noise. We propose a normalized residual strength based stopping criterion, which can be employed without the information mentioned above. Numerical results show that under some circumstances, the proposed criterion leads to a smaller normalized signal reconstruction error as compared to that achieved by OMP with exact K iterations and the conventional residual strength based stopping criterion.

Keywords: orthogonal matching prusuit (OMP), compressed sensing (CS), stopping criterion.

Pages: 1 - 3 | DOI: 10.15224/978-1-63248-172-6-01

2. TEAR FILM BREAK-UP DETECTION BASIS OF YOLO NEURAL NETWORK

Authors: TAI-YUAN SU , TSUNG-YEN TSAI

Abstract: Tear film unstable is one of the major features of dry eye syndrome. One diagnostic method is fluorescein tear film break-up time test, this test is limited by its subjective and necessity to use manually reading the fluorescent image to identify the break-up area and thus variable result. The previously study use a deep convolution neural network to perform an automatic method to detect the fluorescent tear film break-up detection. However, the method is complex and required a lots of computer power. In this study we use a real time data segmentation method You only look once (YOLO) to screen the tear film break up pattern in real time mater. We demonstrate that YOLO is effective method and comparatively fast for recognition and localization in fluorescent tear film break up test. Experimental verification proves their high detection ability, location precision and real time processing speed using modern graphics processing unit.

Keywords: Tear film break up time test, Computer aided diagnosis, Dry eye screening

Pages: 4 - 6 | DOI: 10.15224/978-1-63248-172-6-02

3. A REVIEW OF DIAGNOSE HYPERTENSION USING FUNDUSCOPIC IMAGES WITH NIPPING IN INTERSECTIONS OF ARTERIES AND VEINS

Authors: TAI-YUAN SU , A.K.A.WIJEWICKRAMA , K.A. DILINI T. KULAWANSA

Abstract: In modern medical field detecting nipping is done manually by ophthalmologists to detect hypertension of a patient. This is mainly done by the doctor using a gonioscope or by examines a fundus image of the patient. This proceeding may takes extensive amount of time and when the ophthalmologist has large number of patients to examine, this can be frustrating. In this review I discuss how this process can be automated under the supervision of an expert so that when the ophthalmologist receives the fundus image of a patient, he will get data of that patient that if he has hypertension symptoms in his fundus or not. With an assisting tool like this the efficiency of a typical fundus examine process can be increased in an exponential rate. A system like this will also open more and more ways to other approaches regarding same methods and technologies.

Keywords: echnology, Hypertension, Fundus, Nipping, Arteriovenous, Retinopathy, AV, Cotton-wool spot

Pages: 7 - 12 | DOI: 10.15224/978-1-63248-172-6-03

4. ARTIFICIAL INTELLIGENCE IN ASTRONOMY

Authors: K.A. DILINI T KULAWANSA , PA UDESHIKA MADUSHANI PUSHPAKUMARA

Abstract: Artificial Intelligence (AI) is a greatest technology which created by human in the world. At present, every field use AI for to make things easier. Because AI can automate any typical task a person can do. Specially, AI use for more advance and complex subject area to do more difficult tasks. Astronomy is also very complex field which explore the universe and difficult to use human involvement every time. Around the Earth, the universe is a mysterious region filled with many secrets. What's happening in some of the areas is even more dangerous than ever. Therefore, using human for universal exploration is quite ambitious. This paper describes usage of Artificial Intelligence, applications current issues, future directions in the astronomy.

Keywords: Artificial Intelligence, AI, Universe, Exploration, Space

Pages: 13 - 19 | DOI: 10.15224/978-1-63248-172-6-04

5. BIO-INSPIRED ROBOTICS AS ASSISTIVE TECHNOLOGY TO AID OF DIFFERENTLY ABLED AND ELDERLY PEOPLE

Authors: K.A. DILINI T KULAWANSA

Abstract: At present technology is evolving into many areas. The advancement of bio-inspired robotics technology can be applied and benefited in many areas. Assistive technology can dramatically benefit from bio-inspired robotics to provide aid and assistance to people with disabilities and elder people. Process of modeling biological being into machine involves highly complex methodology and applies that technology to the aid of people with special needs a huge challenge. Applications of robotics can be categorized into several aspects. Based on these aspects numerous researches and applications exist. This review paper aimed to provide a deep discussion on bio-inspired robotics as assistive technology, researches carrying on, its applications and effectivity of those applications. Furthermore, it describes the limitations and future direction of using bioinspired robots as assistive services or products.

Keywords: Assistive technology, Disabilities, Bio-inspired robotic, Prosthetic, Accessible rob

Pages: 20 - 28 | DOI: 10.15224/978-1-63248-172-6-05

6. VIRTUAL REALITY IN COMPUTATIONAL NEUROSCIENCE

Authors: J.R.M. BOGAHAWATTE

Abstract: Virtual reality has been emerged into many fields of studies such as medicine, education, construction, fashion and etc. The computational neuroscience is also one of the fields that VR has been an impact. An enormous amount of data is gathered after conducting neurological and psychological experiments. Those data should be carefully analyzed and interpreted by computational neuroscientists to identify the data patterns. For the visualization of those patterns virtual reality techniques can be a massive contribution. This paper presents the technology related to Virtual Reality, how the Virtual Reality techniques are integrated with the field of computational neuroscience to identify and overcome existing barriers and to identify the future improvements to be done in order to enhance the field of computational neuroscience.

Keywords: Virtual Reality, Computational Neuroscience, Neuroscience, Psychology, Behavioral Neuroscience

Pages: 38 - 43 | DOI: 10.15224/978-1-63248-172-6-07

7. USE OF ARTIFICIAL INTELLIGENCE METHODS IN SHIP DESIGN

Authors: K.A. DILINI T. KULAWANSA , G.A. AMIL DILSHAN PERERA

Abstract: Interest has entire in investigating Artificial Intelligence (AI) methods to design issues and problems in past years, for the huge possible impact on productiveness of developed design equipment and the absorbing basic Artificial Intelligence issues. AI is a surface of computer science and technology that emphasizes the production of intelligent various machines that react and work as humans. Learning, Planning, Speech Recognition and Problem-Solving activities are designed by the AI today. This research paper focuses on various ways of incorporating AI, Component Based Reasoning (CBR), Fuzzy Logic, expert systems and neural networks relational database aided ship design.

Keywords: Artificial Intelligence, Component Based Reasoning, Expert systems, Neural networks, Fuzzy Logic

Pages: 44 - 52 | DOI: 10.15224/978-1-63248-172-6-08

8. COMPUTATIONAL MODELING OF EPISODIC MEMORY

Authors: K.A. DILINI T KULAWANSA

Abstract: The Episodic memory is known to be the memory of history and personal events. It is essential to understand the mechanisms related to human intelligence. As per the findings of neuroscience the hippocampal region is a component of the limbic system and it is responsible for the retrieval and encoding of the episodic memory. The computational models are used to implement different memory theories[21]. This paper discusses about different computational models constructed to address various aspects of episodic memory. The limitations and future directions of episodic memory are also discussed.

Keywords: Episodic Memory, Hippocampus, entorhinal cortex(EC),

Pages: 90 - 99 | DOI: 10.15224/978-1-63248-172-6-14

9. REVIEW OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATIONS IN ARCHITECTURAL DESIGN

Authors: K. A. DILINI T. KULAWANSA

Abstract: The influence of Artificial Intelligence (AI) and Machine Learning (ML) fields for the betterment of architectural design field has been concentrated in this paper. Complexities in design problem scope and creative cognition involvement in designing of architectural elements have attempted to be empowered by techniques of AI and ML, when it comes to finding optimal solutions to design problems under given constraints. The status of the research in these fields is discussed here with their issues encountered and intended future directions.

Keywords: Artificial Intelligence, Machine Learning, Architectural Design Process, Spatial Design Computing

Pages: 100 - 108 | DOI: 10.15224/978-1-63248-172-6-15

10. BIG DATA AND CLOUD COMPUTING IN CONSUMER BEHAVIOUR ANALYSIS

Authors: K.A. DILINI T. KULAWANSA

Abstract: Big Data and Cloud Computing are two major concepts which have been constantly growing since their emergence. Big data is generated in enormous scales daily in online activities, which are used in analytics related to many fields of study such as banking, healthcare, chemistry, data mining, finance, marketing etc. Consumer behavior analysis can be done through analyzing the big data which is generated through transactions. Effective application and management of resources is important in IT implementations related to this subject, for which cloud computing can effectively contribute. This paper presents technology used in big data and cloud computing, how they are used in consumer behavior analysis, existing barriers and possible future directions in which these technologies will be used in consumer behavior analysis.

Keywords: Cloud Computing, Big Data, Consumer behaviour analysis, marketing

Pages: 109 - 115 | DOI: 10.15224/978-1-63248-172-6-16

11. USE OF AUGMENTED REALITY FOR LEARNING CHEMISTRY

Authors: K. A. DILINI T. KULAWANSA

Abstract: Augmented Reality (AR) has been rapidly spreading out through the younger generation because it is providing capability of combining virtual objects on a realworld image towards cognitive processes. There are many applications related to different domains such as medical, tourism, urban planning, marketing, which are based on AR. Specially AR is affected on education sector which can be used to improve students understanding towards subjects. Learning chemistry is also based on conceptual things like microstructures, composition of substances and atoms. Therefore, imaginative ability is the most important things in chemistry. In this review discusses about use of AR for learning chemistry to improve students capability of imagination. Furthermore, it describes about the key challenges which are existing in chemistry towards AR.

Keywords: Augmented reality, Virtual Reality, Learning chemistry, Imaginative ability

Pages: 53 - 59 | DOI: 10.15224/978-1-63248-172-6-09

12. FOOD ORDERING AND MANAGEMENT SYSTEM

Authors: CHAMINDU RATHNAWEERA , DINUSHIKA DISSANAYAKE

Abstract: In the present that is the 21st century, a smart device is the most required device which is becoming an obligatory factor in the modern complex lifestyle of human beings. As humans, each one of us is thriving to seek the ease of every activity in day to day life. Food Ordering and management application are developed as a solution for the issues occurred in the industrial organizations when placed food orders for their employees. As time is limited to employees in organizations most of the time taking their daily meals has become a neglected task. The project was focused on this problem. Therefore, a particular research project was aimed to develop administrative web application and two mobile applications for the Android and IOS platforms to ease the procedure of placing orders on food and beverage preferences of employees on a particular industrial organization to notify the logistic division about the daily requirement summary on food. When compared with existing systems this syste

Keywords: Food ordering, web application, Administrative web site, Mobile applications, External, Internal

Pages: 74 - 81 | DOI: 10.15224/978-1-63248-172-6-12

13. COMPARATIVE STUDY FOR STRENGTHENING OF EXISTING FLEXIBLE PAVEMENT USING FALLING WEIGHT DEFLECTOMETER AND BENKELMAN BEAM DEFLECTION TECHNIQUES

Authors: B.L. SWAMI

Abstract: The failures of different categories of roads are predominant in huge developing countries like India. As a result of improved connectivity the traffic is increasing on existing roads, so need of evaluation arises to provide a safe and smooth riding. Falling weight deflectometer (FWD) and Benkelman beam deflection (BBD) are prominent techniques in India for strengthening and evaluation of existing pavement. FWD is non-destructive testing for evaluation using Dynamic Loading seems more accurate than BBD method which have static loading pattern. But in India later one is used quite dominantly than first one. So this paper deals with difference in overlay thickness required for strengthening by these two techniques, cost reduction by Providing Optimized overlay thickness. For this study 3 homogeneous sections on Existing Bituminous Stretch of NH-102 in state of Bihar were selected .Traffic survey, Evaluation of existing subgrade, Pavement Condition Survey ,Different laboratory tests neede

Keywords: Falling weight Deflectometer; overlay ;Subgade; Benkelmean Beam

Pages: 116 - 120 | DOI: 10.15224/978-1-63248-172-6-17

14. DESIGN AND ANALYSIS OF DUAL SPLIT RING RESONATOR

Authors: TAHIR EJAZ , HINA IMTIAZ

Abstract: n this study a novel non-planar dual split ring resonator (DSRR) has been proposed to achieve high sensitivity and produce variable resonant frequencies and quality factors. This has been achieved by varying distance between two conventional split ring resonators (SRRs). Four different materials i.e. glass, mica, rubber and plastic are used for the analysis of SRR and DSRR. Effects on quality factor and resonant frequency of the two structures through HFSS software has been studied. Due to the insertion of materials in gap of resonator, electric field is perturbed. Perturbation results change in resonant frequency and quality factor of resonator. It was observed that different material resulted shifts in resonant frequency and quality factor in different manner due to unique material permittivity. Hence different sets of shifts in resonant properties were obtained. Results of both conventional and proposed design are presented and compared.

Keywords: dual split ring resonator, sensitivity analysis, resonant behavior, perturbation.

Pages: 121 - 126 | DOI: 10.15224/978-1-63248-172-6-18

15. A RESEARCH SURVEY ON SOFTWARE DEFINED NETWORKING (SDN)

Authors: SYED DANISH NASIR

Abstract: In today's fast moving world, trend of plug and play software and hardware is increasing and since the cloud is taking over the market there is high usage bandwidth consuming applications and hardware since loud is on internet and gets the applications or hardware connected real time plus having the facility or feature to update data real-time. So high availability and real time data processing paved ways of introducing new concept in network management that is Software Defined Networks (SDN). SDN are designed to curb down the challenge of traditional network. In this paper, we have discussed the advantages of software-defined networks and the challenges plus how they are addressed with this concept plus its scalability and reliability.

Keywords: Software Defined Networks, SDN , Network, Fast Network

Pages: 127 - 132 | DOI: 0.15224/978-1-63248-172-6-19

16. USE OF AUGMENTED REALITY FOR LEARNING CHEMISTRY

Authors: K.A. DILINI T. KULAWANSA

Abstract: Augmented Reality (AR) has been rapidly spreading out through the younger generation because it is providing capability of combining virtual objects on a realworld image towards cognitive processes. There are many applications related to different domains such as medical, tourism, urban planning, marketing, which are based on AR. Specially AR is affected on education sector which can be used to improve students understanding towards subjects. Learning chemistry is also based on conceptual things like microstructures, composition of substances and atoms. Therefore, imaginative ability is the most important things in chemistry. In this review discusses about use of AR for learning chemistry to improve students capability of imagination. Furthermore, it describes about the key challenges which are existing in chemistry towards AR.

Keywords: Augmented reality, Virtual Reality, Learning chemistry, Imaginative ability

Pages: 53 - 59 | DOI: 10.15224/978-1-63248-172-6-09

17. INFORMATION TECHNOLOGY AND CRIMINAL INVESTIGATION

Authors: K.A. DILINI T KULAWANS , S.M.C.T.SIRIWARDHANA

Abstract: Information communication technology deals with information systems, there for data storage, data access, data retrieval, data analysis and data intelligent decision making. Then Information communication technology has referred to creation, processing, gathering, storaging, presenting and a dissemination of information and they also processes and devices are enable all are to be done. The disuse of the technology has prepared the ornaments of the enactment and implementations are the cyber laws. Now a days, computers are playing a major type of role in the almost every kind of crimes that are committed. In the Citizens must not be under the impressions that are cyber crimes are vanishing and must realizing with each of passing days, cyberspaces are become a more dangerously. those places to be in where criminals crime roam freely to the executing their criminal intentions encourage by the so-called anonymities that provide of internet . The Paper focuses are on the new legislations wh

Keywords: Technology, Leagal System, Crime.

Pages: 29 - 37 | DOI: 10.15224/978-1-63248-172-6-06

18. A REVIEW OF AUTOMATED DIAGNOSIS OF GLAUCOMA USING DIGITAL FUNDUS IMAGES

Authors: K.A. DILINI T. KULAWANSA

Abstract: Glaucoma is a typical reason for irreversible blindness in worldwide and also Glaucoma is the disease where the pressure of eye ends up with the nerve fiber damages in optic nerve. In some patients optic nerves can damage even in regular or low eye pressure due to other weaknesses. But, that kind of situations are rare. In other world, optic nerve damage depends on the capability of handling pressure by the fundus area. If fundus with optic nerve is too weak, even low-pressure situations also can cause the damages to optic nerve and cause blindness. Glaucoma is classified as a silent disease which does not have signs until it causes blindness. This paper explores and presents a review on Automated Diagnosis of Glaucoma Using Digital Fundus Images. Such, Fundus Images have identical glaucomatous features. Detection of those features help to diagnose Glaucoma and control the blindness.

Keywords: Optic Nerve Head (ONH), Capillary Density

Pages: 60 - 64 | DOI: 10.15224/978-1-63248-172-6-10

19. USE OF IOT FOR SMART SECURITY MANAGEMENT IN AGRICULTURE

Authors: K.A. DILINI T KULAWANSA , M.G.P.M.SAMARASINGHE

Abstract: Agriculture can be considered as one main economic field in Sri Lanka, also it's same for the other countries in the world. As with the increase of the population, the demand of the agriculture production is also increasing. Agriculture field face numerous difficulties, among them Agriculture security is the main issue affecting to it now a days. The main objective in this research paper is to introduce sophisticated methods to get accurate decisions combine with the modern technology to increase the security in agriculture areas and to enhance the agricultural productivity. Also, by using Internet of Things and develop the gadgets to detect the information related in the agricultural areas and give the efficient and effective solutions for smart security management in agriculture.

Keywords: Internet of Things, Agriculture, Security

Pages: 65 - 73 | DOI: 10.15224/978-1-63248-172-6-11

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