14 Articles Published

1. DRAFT DESIGN OF OVER-THE-AIR OF INTERNET OF THINGS FOR FARMING

Authors: BYEONG CHUN SHIN , BYUNGRAE CHA , JONGWON KIM , SUN PARK

Abstract: Over the next 20 years it will begin the exodus from the Internet and smart phones to the Internet of Things. The heart of IoT gives new utility and value with connectivity among things around people to the human. The proposed IoT or IIoT based Download OTA (Over-the-Air) provides a flexible mechanism for downloading Media objects of any type and size from a network. Moreover, proposed IoT based DLOTA provides a part of security by CapBAC technique.

Keywords: IoF(IoT for Farming); IoF-Cloud; OTA; CapBAC

Pages: 1 - 5 | DOI: 10.15224/978-1-63248-149-8-11

2. A NOVEL OPINION REASON MINING FRAMEWORK EXPLOITING LINGUISTIC ASSOCIATIONS

Authors: MUHAMMAD TAIMOOR KHAN , SHEHZAD KHALID

Abstract: Aspect-based Sentiment Analysis (ABSA) explores the strong and weak aspects of a product. There are many online platforms that allow users to review commercial products while others to aggregate those opinions across millions of reviews at the aspect level. Such analysis is of high regard to potential customers and manufacturers to make profitable decisions. However, the existing ABSA models do not highlight the reasons behind the strengths and weaknesses of the aspects. Moving a step forward, opinion reason mining explores the reasons for the aspects being appreciated or criticized. We propose opinion reason mining framework ORMFW that uses topic model to generate aspects as groups of aspect terms which are refined using paradigmatic word associations. Polarity is evaluated for each aspect using a dictionary based approach. Furthermore, it incorporates syntagmatic word associations to map the aspects to their respective reason terms against a sentiment polarity. Results on twitter dat

Keywords: opinion minig, reason mining, sentiment analysis, topic modeling, linguistic analysis

Pages: 6 - 10 | DOI: 10.15224/978-1-63248-149-8-12

3. FRAMEWORK TO SUGGEST THE MOST NON PREDICTABLE AND SECURE USER GRAPHICAL PASSWORD PATTERNS IN ANDROID PHONES.

Authors: MAJED SAID AL BUSAIDI , MUHAMMED KHURRAM , MUHAMMED ZAFAR IQBAL , SYED IMRAN ALI

Abstract: Graphical password scheme is perhaps the most widely used method to lock the mobile handsets but unfortunately they are easily guessable. In this paper, we have identified the security threat that the graphical password patterns in smart phones are predictable based on various important parameters like demographics, language proficiency, cultural backgrounds, etc. We further proposed a framework, which suggests you the most non-predictable and secure password pattern considering the demographics, language proficiency, and cultural backgrounds of the user.

Keywords: Security threats, Predictable passwords, Graphical password patterns, demographics, cultural background, language proficiency, secure passwords.

Pages: 16 - 19 | DOI: 10.15224/978-1-63248-149-8-14

4. NEW APPROACH TO DEVELOPMENT OF THE EXPERT SYSTEM OF CONTROL AND KNOWLEDGE ASSESSMENT

Authors: GOLOVACHYOVA VIKTORIYA , TOMILOV ALEXANDER , TOMILOV ALEXANDER

Abstract: The expert systems of control and knowledge estimation are usually developed on the basis of different approaches to constructing a question and answer on test. The analysis of existing testing methods made it possible to conclude that questions with selective and selectively constructed types of answer do not always allow objectively assessing the knowledge of trainees, which reduces the stimulating effect of pedagogical evaluation on cognitive activity of trainees, and the quality of the learning process as a whole. The article proposes a method of knowledge estimation, which is based on a new approach to constructing a question and answer that allows a freely designed form of a test response. The proposed approach gives an opportunity to expand the functions of tests, thereby increasing the approximation degree of the estimation for the test to the level of the real knowledge of students

Keywords: The expert systems of control and knowledge estimation, testing methods, approaches to constructing a question and answer on test, quality of the learning process

Pages: 20 - 24 | DOI: 10.15224/978-1-63248-149-8-15

5. COMPRESSIVE SENSING BASED GENDER RECOGNITION

Authors: JAYA SIL , SANTI P. MAITY , SUPARNA BISWAS

Abstract: This paper explores an integration of compressive sensing, curvelet transform, and Principal Component Analysis to develop a robust gender recognition method from face images. Compressive measurements of face images leading to a significant reduction in feature space. Here curvelet transform has been used to represent the face images with prominent edges, curvatures, boundaries and to offer sparse representation to apply compressive measurements on detailed subband. To extract the feature vector, Principal Component Analysis is applied on the reconstructed detailed subband. Performance of the proposed method is evaluated by employing different classifiers. The proposed method efficiently handles the effect of Gaussian noise maintaining high accuracy on gender recognition. Extensive experiments on FERET database, is conducted to substantiate our claim.

Keywords: Gender recognition, Curvelet transform, Compressive sensing, Principal Component Analysis.

Pages: 30 - 34 | DOI: 10.15224/978-1-63248-149-8-17

6. ENCOUNTER-HISTORY BASED FAST ROUTING FOR POST- DISASTER COMMUNICATION IN DTNS

Authors: ANIMESH ROY , RAJIB MONDAL , SIPRA DAS BIT

Abstract: Delay Tolerant Networks (DTNs) are characterized by the absence of end-to-end path. One potential application of such networks is post-disaster environment, where conventional network infrastructure is fully or partially destroyed. Routing is a challenging issue in DTNs because of intermittent connectivity. Most of the traditional DTN routing schemes do not consider the contact history of the nodes for data delivery. The history of encounter of a node with the other nodes gives valuable information about the network topology. In this paper, a set of potential relay nodes is primarily chosen based on available buffer space and residual energy of the nodes in the network. Among the potential relays, one is selected considering the value of a metric which is designed based on the encounter history and residual energy. The node with the highest value of this metric is finally selected as a relay. The performance of our proposed scheme is evaluated in ONE simulator considering a post-disast

Keywords: Delay/disruption tolerant networks, encounter history, residual energy, relay selection

Pages: 35 - 39 | DOI: 10.15224/978-1-63248-149-8-18

7. NATURAL LANGUAGE PROCESSING FOR DESIGNING VOICE ASSISTANT FOR HEALTHCARE SYSTEMS

Authors: MEGHANA NAGORI , ASHWIN KULKARNI , KIRTI KESKAR , SAMEER BHALE

Abstract: In the world of having everything in our pocket, we have developed a technology (product) which leverages the power of networking, artificial intelligence, data mining in a single package to revolutionize the traditional way of handling health data. Using the most convenient way of interacting with a device which is voice recognition we are trying to eliminate a range of documents, which leads to minimum human interference in the whole process of healthcare and we are collecting unstructured health data of a consumer (patient). Hence, by applying techniques of Natural Language Processing we are analyzing and extracting meaningful data from the narrated input. Our algorithm will enable clinicians to retrieve the information of a patient in the most precise format. Our product facilitates one another part of recognizing consumers’ health-related need and suggest suitable, trusted and predicted (easily available) solution for it using well organized pharmaceutical data set. For a massiv

Keywords: Networking, Artificial Intelligence, Data Mining, Voice Recognition, Healthcare, Natural Language Processing

Pages: 40 - 44 | DOI: 10.15224/978-1-63248-149-8-19

8. VISUALIZATION OF SPATIOTEMPORAL CHANGES BETWEEN DEMS VIA MORPHOLOGICAL INTERPOLATION

Authors: SIM HUI TEE , SIN LIANG LIM , SIN TING LIM

Abstract: Digital Elevation Model (DEM) is a digital model representation of the surface of a terrain. It consists of elevation values sampled at regular intervals which could be used to study vast types of phenomena across spatial positions. However, acquisition of DEM data in continuous sequences at very high spatial resolution is very costly from the point of cost, manpower, and storage requirement. In this paper, we propose a method to visualize the morphological changes for a same area over a period using two DEM images. Through mathematical morphology approach, the interpolated sequences between these pair of DEMs are hierarchically generated. These set of hierarchically interpolated medians paves a way to visualize the spatiotemporal changes which have happened in a particular area at discrete-time intervals. The potential application which we could implement the proposed framework include natural disaster surveillance and monitoring (eg. Landslide, flood, earthquake).

Keywords: digital elevation model (DEM), mathematical morphology, morphological interpolations

Pages: 45 - 49 | DOI: 10.15224/978-1-63248-149-8-20

9. APPLICATION OF FUZZY COGNITIVE MAP WITHIN EDUCATIONAL CONTEXT: A REVIEW OVER THE PAST FIVE YEARS.

Authors: BEHZAD MAHASENI , RUKAINI ABDULLAH , SITI SORAYA ABDUL RAHMAN

Abstract: A traditional cognitive map has been extended to what is known as FCM, acronym for Fuzzy Cognitive Map. FCM combines two popular soft computing techniques, namely fuzzy logic and neural network. FCM has emerged as knowledge representation and reasoning technique for modeling causal complex problems with inherent uncertainties. Indeed, past research has shown that FCM has been successfully applied in various domain such as computer science, medicine, education, and others. Application of FCM in education such as mathematic or science are very diverse, from student modeling to diagnosing student’s misconception in learning and from assessing processes in teaching-learning to identifying learning-styles preference. This paper reviews the most recent application of FCM within educational context over the past five years and analyzed them based on the educational problem addressed, areas within education domain, problem-solving paradigm, and limitations. The discussion follows from the su

Keywords: Fuzzy cognitive map, knowledge representation, education

Pages: 50 - 54 | DOI: 10.15224/978-1-63248-149-8-21

10. EVALUATING THE LEVEL OF ACCEPTANCE OF USING E-SIHI SYSTEM AT KING KHALID UNIVERSITY HOSPITAL IN KING SAUD MEDICAL CITY IN RIYADH

Authors: AFAF BUGAWA , ODEH AL JAYYOUSI , TAHANI ALHARBI

Abstract: Health care is at the heart of the health system and its foundation in most countries in the world. Saudi Arabia has taken clear steps towards applying electronic health records for the development of services in the health sector. Saudi Arabia has developed development plans and delivered high quality health services programs to cope with current developments within Vision 2030. This study aims at evaluating the level of acceptance of using e-SIHI system by conducting an analytical study of the sample of the study used for e-SIHI system in hospital King Khalid University/King Saud Medical City in Saudi Arabia. This study was based on the analytical descriptive approach to achieve the objective of the study by developing a questionnaire to evaluate the level of acceptance of the use of the electronic health system. The study population was selected from the employees of e-SIHI system at King Khalid University Hospital. The study sample consisted of 514 users of the electronic health sy

Keywords: e-health services, perceived benefit, technology acceptance model, computerized hospital systems, e-SIHI.

Pages: 55 - 55 | DOI: 10.15224/978-1-63248-149-8-39

11. USE OF HOLLOW FIBER-OPTIC ELEMENTS IN INFORMATION INPUT SYSTEMS WITH OPTICAL CODING

Authors: BAIPAKBAYEVA SALTANAT , SULEIMENOV IBRAGIM , VITULEVA ELIZAVETA

Abstract: An improved lightguide element design for a keyboard with optical coding is proposed in the article, based on the phenomenon of light reflection from the interface of two optical transparent media. A feature of this element is the use of relatively large values of the reflection coefficient from the medium interface at large angles of incidence, which is expressed, in particular, by the Fresnel formulas. This effect occurs also in the case when light passes from an optically less dense medium (air) to an optically denser (polymer), which, in particular, makes it possible to use a hollow polymer tube as a lightguide element. A differential equation is obtained that describes the shape of the initial section of an improved lightguiding element of a given type, as well as its analytical solution. This type of solution corresponds to a surface optical trap whose shape corresponds to multiple reflection of the rays from the same non-planar surface.

Keywords: media interface, reflection coefficient, lightguide elements, Fresnel formulas, optical trap

Pages: 56 - 59 | DOI: 10.15224/978-1-63248-149-8-40

12. QUALITY SOLUTION DELIVERY FRAMEWORK FOR RISK AND PROJECT MANAGEMENT

Authors: FARHAT YAMIN

Abstract: This study is presenting a Quality Solution Delivery Framework which is a blend of Project Management and Risk management methodologies. All core phases of project management either utilized by the traditional approach or modern framework like agile, are envisioned into this framework. Besides taking care to include the core features, Risk Management phase has also been blended in each of the phase to form a best framework which is compliant of Operations Clause of ISO 9001:2015 along to take care of Project and Risk Management features simultaneously. Qualitative methodology has been adopted to collect the data which was transformed into the information base to come up with the analytical views. To cope up with limited time constraint, two sample projects of same nature were taken into research account. One was observed from initial stage till design phase while other was taken from built till sign off. The formulized framework was compared with modern vastly used development life cyc

Keywords: initiating, planning, executing, controlling and closing

Pages: 60 - 64 | DOI: 10.15224/978-1-63248-149-8-41

13. INTERACTIVE VISUALIZATION OF TEMPLATE GRAPH FOR DAILY CLINICAL NOTES*

Authors: H. SOEJIMA , N. NAKASHIMA , N. ONIMURA , S. HIROKAWA , T. YAMASHITA

Abstract: Clinical notes in medical institutions are essential not only for information sharing among medical staff but also\ for analysis to improve medical activities. Especially, the record of free description is important for grasping the situation of the patients. However, manually recording has the problem of input labor and fluctuation of expression by the person who records. In order to solve this problem and enable statistical analysis and mechanical analysis, templates are expected. This paper proposes an interactive support system for defining medical record template for each disease by extracting feature words corresponding to the disease from medical records using machine learning. We constructed an interactive system that displays the context of those characteristic words as a directed graph. A pull-down template can be generated from this graph. We developed a system to generate such graphs interactively for 123,736 free description clinical records of a hospital and examined its

Keywords: Interactive,Visualization, Template, Graph, Daily Clinical

Pages: 19 - 24 | DOI: 10.15224/978-1-63248-144-3-11

14. 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