6th International Conference of Advanced Computer Science & Information Technology (ACSIT 2018)
May 26~27 2018, Dubai, UAE
INTELLIGENT ELECTRONIC ASSESSMENT FOR SUBJECTIVE EXAMS
Alla Defallah Alrehily, Muazzam Ahmed Siddiqui, Seyed M Buhari
Faculty of computing and information technology, King Abdulaziz University, Saudi Arabia, Jeddah.
In education, the use of electronic (E) examination systems is not a novel idea, as E-examination systems have been used to conduct objective assessments for the last few years. This research deals with randomly designed E-examinations and proposes an E-assessment system that can be used for subjective questions. This system assesses answers to subjective questions by finding a matching ratio for the keywords in instructor and student answers. The matching ratio is achieved based on semantic and document similarity. The assessment system is composed of four modules: preprocessing, keyword expansion, matching, and grading. A survey and case study were used in the research design to validate the proposed system. The examination assessment system will help instructors to save time, costs, and resources, while increasing efficiency and improving the productivity of exam setting and assessments.
DETECTION OF ALGORITHMICALLY-GENERATED MALICIOUS DOMAIN Enoch Agyepong1, William J. Buchanan2 and Kevin Jones3
Information and Computer Science Department King Fahd University of Petroleum & Minerals Dhahran 31261, Saudi Arabia
Using social media in education provides learners with an informal way for communication. Informal communication tends to remove barriers and hence promotes student engagement. This paper presents our experience in using three different social media technologies in teaching software project management course. We conducted different surveys at the end of every semester to evaluate students' satisfaction and engagement. Results show that using social media enhances students' engagement and satisfaction. However, familiarity with the tool is an important factor for student satisfaction.
GLOBAL MUSIC ASSET ASSURANCE DIGITAL CURRENCY: A DRM SOLUTION FOR STREAMING CONTENT USING BLOCKCHAIN Ahmed Gomaa, University of Scranton, Scranton, USA
The amount of piracy in the streaming digital content in general and the music industry in specific is posing a real challenge to digital content owners.This paper presents a DRM solution tomonetizing, tracking and controlling online streaming content cross platforms for IP enabled devices. The paper benefits from the current advances in Blockchain and cryptocurrencies. Specifically, the paper presents a Global Music Asset Assurance (GoMAA) digital currency and presents theiMediaStreams Blockchain to enable the secure dissemination and tracking of the streamed content. The proposed solution providesthedata owner the ability to control the flow of information even after it has been released by creating a secure, self-installed, cross platform reader located on the digital content file header. The proposed system provides the content owners' options to manage their digital information (audio, video, speech, etc.), including the tracking of the most consumed segments, once it is release. The system benefits from token distribution between the content owner (Music Bands), the content distributer (Online Radio Stations) and the content consumer(Fans) on the system blockchain.
A SURVEY ON QUESTION ANSWERING SYSTEMS: THE ADVANCES OF FUZZY LOGIC Eman Mohamed Nabil Alkholy1 and Mohamed Hassan Haggag1and Constantine's Koutsojannis2 1 Faculty of Computers & Information, Helwan University, Cairo, Egypt,2Health Physics & Computational Intelligence Lab, TEI of Western Greece, Aigion.
In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era,Question-answering systems are referred to as intelligent systems ,that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it can generate answers of questions asked in natural , and the first main idea of fuzzy logic was to working on the problem of computer understanding of natural language, so this survey paper provides an overview on what Question-Answering is and its system architecture and the possible relationship and different with fuzzy logic, as well as the previous related research with respect to approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along or combined with fuzzy logic and their main contributionsand limitations.
TWO DISCRETE BINARY VERSIONS OF AFRICAN BUFFALO OPTIMIZATION METAHEURISTIC Amira GHERBOUDJ,AbdelhamidMehri University Constantine 2, Algeria
African Buffalo Optimization (ABO) is one of the most recent swarms of intelligence based metaheuristics. ABO algorithm is inspired by the buffalo's behavior and lifestyle. Unfortunately, the standard ABO algorithm is proposed only for continuous optimization problems. In this paper, the authors propose two discrete binary ABO algorithms to deal with binary optimization problems. In the first version (called SBABO) they use the sigmoid function and probability model to generate binary solutions. In the second version (called LBABO) they use some logical operator to operate the binary solutions. Computational results on two knapsack problems (KP and MKP) instances show the effectiveness of the proposed algorithm and their ability to achieve good and promising solutions.
DYNAMIC PHONE WARPING - A METHOD TO MEASURE THE DISTANCE BETWEEN PRONUNCIATIONS Akella Amarendra Babu1, and Ramadevi Yellasiri2 1St. Martin's Engineering College, Dhulapally, Secunderabad, 2CBIT, Hyderabad, Telangana, India
Human beings generate different speech waveforms while speaking the same word at different times. Also, different human beings have different accents and generate significantly varying speech waveforms for the same word. There is a need to measure the distances between various words which facilitate preparation of pronunciation dictionaries. A new algorithm called Dynamic Phone Warping (DPW) is presented in this paper. It uses dynamic programming technique for global alignment and shortest distance measurements. The DPW algorithm can be used to enhance the pronunciation dictionaries of the well-known languages like English or to build pronunciation dictionaries to the less known sparse languages. The precision measurement experiments show 88.9% accuracy.
NAMED ENTITY RECOGNITION IN SANSKRIT: A SURVEY Joseph Mickole James1 and Sangeetha Jamal2 1Department of Computer Science, Rajagiri School of Engineering and Technology,Cochin,2Asst.Professor, Department of Computer Science, Rajagiri School of Engineering and Technology,
This paper gives an overview on the various methods used for Named entity recognition in Sanskrit language. Named entity recognition (NER) is the process of recognizing entities (e.g. Person, Place, Organization etc) associated with a particular word of a document. NER has a significant part in natural language processing applications like Information retrieval, machine learning, survey systems, automatic summarizing etc. It is also used to organize every word in a document into predefined categories. NER
systems use language grammar-based techniques as well as arithmetical models. Since entity names are the major part of the document, NER is a key step towards more intellectual data mining and its management. Six different approaches are studied and compared and a conclusion is drawn.
TO STUDY THE PRESENT STATUS OF SUPPLY CHAIN MANAGEMENT IN MEDIUM SCALE AGRO IMPLEMENTS MANUFACTURING INDUSTRIES 1Parag Wadnerkar and R.S. Dalu2 1,2Prof & I/C Principal, Government College of Engineering, Amravati,
A supply chain is a network of facilities and distribution options that performs the functions of procurement of materials, transformation of these materials into intermediate and finished products, and the distribution of these finished products to customers. Supply chains exist in both service and manufacturing organizations, although the complexity of the chain may vary greatly from industry to industry and firm to firm. Supply chain management is normally seen to lie between completely vertically incorporated firms, where the whole material stream is claimed by a solitary firm and those where each channel part works freely. Along these lines coordination between the different players in the chain is enter in its successful management. Cooper and Ellram  contrast supply chain management with an all around adjusted and very much rehearsed transfer group. Such a group is more focused when every player knows how to be situated for the hand-off. The connections are the most grounded between players who specifically pass the rod, however the whole group needs to try to win the race. SCM plays a vital role in organization activities and an essential element to operational efficiency which can be applied to customer satisfaction and company's success. You can say that it is just like the backbone of an organization which manages the critical issues of the business organization such as rapid growth of multinational corporations, global expansion and environmental concerns which indirectly or dramatically affects the corporate strategy
A SURVEY OF BIOCURATION AND TEXT-MINING TOOLS USED FOR BIOMEDICAL RELATION EXTRACTION DEVELOPED USING PUBMED Chetana Gavankar1, Aditya Phatak2, Vaidehi Patel1, Bhoomi Pragda1 , Nikita Thakkar1 and Rutuja Lathkar1 1Department of Information Technology, Cummins College Of Engineering, Pune, 2PierianDx India Pvt. Ltd., Pune, India
The past few years have witnessed the modern advances of high-throughput technology and rapid growth of research capacity in producing large-scale biological data, both of which led to an exponential growth of biomedical literature. This wealth of scholarly knowledge is of significant importance for researchers in making biocuration tasks easy to incorporate in routine practices. However, the processing of such information is
becoming highly challenging due to its large volume and rapid growth. In response, the National Center for Biotechnology Information (NCBI) is continuously making changes to its PubMed Web service for improvement. Meanwhile, different organizations are thriving to develop tools for assisting users quickly and efficiently search and retrieve relevant publications. These practices, together with maturity in the field of text mining, have led to an increase in the number and quality of various Web tools that provide comparable literature search service to PubMed. In this paper, we survey many such tools, highlight and discuss directions for future development and innovation. Our paper serves bioinformaticians in choosing accurate tools for their needs and the bioinformatics application developers to get an overview of state of art tools for biocuration tasks. Our survey focus has been on a challenging problem of Entity- based relation extraction in the the area of bioinformatics.
STUDY OF SPEECH ENHANCEMENT BASED ON THE SECOND-ORDER DIFFERENTIAL MICROPHONE ARRAY Gu Junlong1 and Li Dongmei2 1,2College of Electronic Engineering, Tsinghua University, Bei Jing, China
Noise generally exists in our daily life. Speech enhancement can extract voice from the noisy environment as pure as possible. In this paper, we studied a speech enhancement algorithm based on the second-order differential microphone array, which can use more spatial information. We also transplanted the computational auditory scene analysis (CASA) algorithm which is based on interaural intensity difference/interaural time difference (IID/ITD) into the second-order differential microphone array speech enhancement algorithm to achieve better directivity and higher signal-to-noise ratio(SNR).
TEXT NORMALIZATION AND SPELLING CORRECTION IN KAZAKH LANGUAGE Gaukhar Slamova and Meruyert Mukhanova
Department of Engineering and Natural Sciences, Suleyman Demirel University, Almaty City, Kazakhstan
Text normalization is significant step in pre-processing of informal, social media and short texts in the Natural Language Processing (NLP) tasks. Researches in this field are mostly on English, but not on the agglutinative languages such as Kazakh, Korean, Japanese, which are determined as morphologically rich languages and complex compared to English. In this paper, we present text normalization and auto correction of words for
Kazakh language, we convert informal text into grammatically correct text. To do the auto correction task, firstly we countered keyboard error while typing words, then choose the best match from them. Additionally, we categorized words to several groups and separated text into modules of words. The exact match scores of the overall system on the provided datasets are 85.40 per cent.