CODE GENERATION BASED ON INFERENCE AND CONTROLLED NATURAL LANGUAGE INPUT

Author :  Howard Dittmer

Affiliation :  DePaul University, Chicago

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

Over time the level of abstraction embodied in programming languages has continued to grow. Yet, most programming languages still require programmers to conform to the language's rigid constructs. These constructs have been implemented in the name of efficiency for the computer. The continual increase in computing power allows us to consider techniques that are no longer limited by this constraint. To this end, we have created CABERNET, a Controlled Nature Language (CNL) approach. CABERNET allows programmers to use a simple outline-based syntax. This allows increased programmer efficiency and syntax flexibility. CNLs have successfully been used for writing requirements documents. We propose taking this approach well beyond this to fully functional programs. Our approach uses heuristics and inference to analyze and determine the programmer's intent. The goal is for programs to be aligned with the way that the humans think rather than the way computers process information

Keyword :  Controlled Natural Language, Literate Programming, Programming Language, ComputerAided Software

For More Details :  https://aircconline.com/csit/papers/vol10/csit100408.pdf

AN ANALYSIS OF THE EMOTIONAL TENDENCY OF NEW WORDS IN CHINESE TEXT BASED ON WORD2VEC

Author :  Jiang Quan

Affiliation :  Wuhan University of Technology

Country :  China

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

At present, there are many new words expressing emotions on the Internet, but the expressions of these new words have rich meanings but lack of accurate definitions, so it is difficult to analyze their emotional tendentiousness, This thesis studies the feasibility and framework design of word2vec based analysis method of emotional neologisms' tendency, and conducts experiments on Weibo corpus. The results show that new words can analyze their emotional tendency from their similar words.

Keyword :  Word vector; New word discovery; Emotional word; Tendentiousness analysis; Word2Vec

For More Details :  https://aircconline.com/csit/papers/vol10/csit100407.pdf 

Privacy Enhanced Attribute based eSign

Author :  Puneet Bakshi

Affiliation :  Indian Institute of Technology

Country :  India

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

In recent years, Government of India has introduced many Aadhaar based online services. Although these initiatives helped India compete in digital revolution across world and were acclaimed by many, they have also raised some concerns about security especially the privacy aspects. One of the initiative in this direction is eSign which provides an online electronic signature service to its subscribers. Although most of the security aspects are addressed by eSign, some of the privacy aspects are yet to be addressed. This paper presents a scheme to implement privacy enhanced eSign using Attribute based Signatures (ABS). For the practical and efficient realization of the scheme, a token based approach is proposed.

Keyword :  eSign · Aadhaar · eSign · Privacy

For More Details :  https://aircconline.com/csit/papers/vol10/csit100406.pdf

INFORMATION TECHNOLOGY OF LASER COAGULATION STRATEGY SELECTION IN DIABETIC RETINOPATHY TREATMENT

Author :  Shirokanev Alexander

Affiliation :  IPSI RAS - branch of the FSRC «Crystallography and Photonics» RAS, Molodogvardejskaya street 151

Country :  Russia

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

Diabetic retinopathy is frequent, the most dangerous fundus disease. Diabetic retinopathy can result in many serious diseases. For various reasons, patients lose vision in untimely or incorrect treatment of diabetic retinopathy. The current method of treating diabetic retinopathy is laser coagulation. The ophthalmologist decides which zones need to be shelled to reduce edema based on his experience. Laser radiation parameters and distance between laser shots are also selected based on the experience of previous operations. However, the accuracy of the selection of these parameters can affect the result of treatment. Achieving high accuracy is empirical difficult. The present paper proposes a technology for selecting an effective laser coagulation strategy consisting in application of a genetic efficiency optimization algorithm based on solving of the problems of mathematical simulation of laser burns. Technology solves the problem of choosing accurate laser coagulation parameters.

Keyword :  Diabetic retinopathy, laser coagulation, ocular fundus, information technology, mathematical modeling, thermal conductivity equation

For More Details :  https://aircconline.com/csit/papers/vol10/csit100405.pdf

THE PORT Z3R0 EFFECT! HUMAN BEHAVIORS RELATED TO SUSCEPTIBILITY

Author :  Henry Collier

Affiliation :  Norwich University

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

Current practices to defend networks against threats involve hardening systems by limiting points of ingress into the system. The most common method of limiting ingress into a system is by limiting which ports are allowed through the firewall. Port limitation as a method of defense is normally effective. Ports in a firewall range from 0 through 65,535 and covers the technical aspects of information security. One method of ingress not covered by technical ports is the human port, coined “port Z3r0” for this paper. To better defend against port Z3r0, we must understand the human better and why they are susceptible. This paper explores the basic human behaviors related to susceptibility and identifies the classifications of traits that increase a person’s susceptibility level. Additionally, this paper will address the issue of how the current model of teaching end-users to defend themselves is lacking and needs to be improved.

Keyword :  Information Security, Non-Malicious Insider Threat, Susceptibility, Human Behaviors, Cognition

For More Details :  https://aircconline.com/csit/papers/vol10/csit100404.pdf

DRIVING PRODUCT SALES PERFORMANCE USING PRODUCT PRELAUNCH LINGUISTICS ANALYTIC APPROACH

Author :  Winnie Ng

Affiliation :  The Hong Kong Polytechnic University

Country :  Hong Kong

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

This paper uses a natural linguistics analytic approach, by studying product prelaunch events’ script, to investigate the determinants of driving the product sales. This research contributes to the theoretical framework of identifying the customer values which impact the product sales. Moreover, we investigate how product sales be driven by the optimism attitude and affective forecasting, which are vocal during product prelease events. Through the pilot study of analysing the essential words, which represent the underlying customer values from the script of Apple Inc. product prelaunch events, we found that product functional and experiential/ hedonic of customer values drive product sales. Induced affective forecasting message negatively moderated the impact of cost/ sacrifices values on product sales. In addition to the theoretical framework contributions, this research provides practical guidelines of how to shape the product prelaunch speech to maximize the sales of the to-be-released products.

Keyword :  Product Preannouncement, Product Sales, Signalling, Communications, Speech Recognition

For More Details :  https://aircconline.com/csit/papers/vol10/csit100403.pdf

COMPARATIVE ANALYSIS OF WORD EMBEDDINGS FOR CAPTURING WORD SIMILARITIES

Author :  Martina Toshevska

Affiliation :  Cyril and Methodius University, Skopje

Country :  Macedonia

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 04, April, 2020

Abstract :

Distributed language representation has become the most widely used technique for language representation in various natural language processing tasks. Most of the natural language processing models that are based on deep learning techniques use already pre-trained distributed word representations, commonly called word embeddings. Determining the most qualitative word embeddings is of crucial importance for such models. However, selecting the appropriate word embeddings is a perplexing task since the projected embedding space is not intuitive to humans. In this paper, we explore different approaches for creating distributed word representations. We perform an intrinsic evaluation of several state-of-the-art word embedding methods. Their performance on capturing word similarities is analysed with existing benchmark datasets for word pairs similarities. The research in this paper conducts a correlation analysis between ground truth word similarities and similarities obtained by different word embedding methods.

Keyword :  Word Embeddings, Distributed Word Representation, Word Similarity

For More Details :  https://aircconline.com/csit/papers/vol10/csit100402.pdf