INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2021-08-18T23:06:44+00:00 Editorial Office Open Journal Systems Sentiment Analysis in Poems in Misurata Sub-dialect 2021-08-18T23:06:44+00:00 Azza Abugharsa <p>Over the recent decades, there has been a significant increase and development of resources for Arabic natural language processing. This includes the task of exploring Arabic Language Sentiment Analysis (ALSA) from Arabic utterances in both Modern Standard Arabic (MSA) and different Arabic dialects. This study focuses on detecting sentiment in poems written in Misurata Arabic sub-dialect spoken in Misurata, Libya. The tools used to detect sentiment from the dataset are Sklearn as well as Mazajak sentiment tool<sup>1</sup>. Logistic Regression, Random Forest, Naive Bayes (NB), and Support Vector Machines (SVM) classifiers are used with Sklearn, while the Convolutional Neural Network (CNN) is implemented with Mazajak. The results show that the traditional classifiers score a higher level of accuracy as compared to Mazajak which is built on an algorithm that includes deep learning techniques. More research is suggested to analyze Arabic sub-dialect poetry in order to investigate the aspects that contribute to sentiments in these multi-line texts; for example, the use of figurative language such as metaphors.</p> 2021-09-15T00:00:00+00:00 Copyright (c) 2021 Azza Abugharsa Blockwise Analysis of Health Indicators of Gadchiroli District using Composite Index: An application of GKG Algorithm 2021-08-16T05:40:56+00:00 Anil D Gotmare P.G. Khot Shraddha R. Gotmare <p>Gadchiroli district is a part of Vidarbha, Traibal district away from 200 KM from sub capital of Maharashtra, Nagpur, Gadchiroli is well known tribal district of vidarbha. Total forest cover of the district is around 78% of total geographic area. District has 12 blocks with 6 revenue division. It is a notified tribal district having 8.61%–81.50% tribal population in different blocks and block-wise urbanization varies from 0.00% to 37.10%. Objective: Objective of present research paper is to device tool to rank the blocks of the district according to community health status exist in blocks and accordingly assess community health status at block level in Gadchiroli district.</p> 2021-09-08T00:00:00+00:00 Copyright (c) 2021 Anil D Gotmare, P.G. Khot, Shraddha R. Gotmare Home Automation Using Packet Tracer and ESP8266 2021-06-04T16:24:44+00:00 Sucheta Gupta Sushil Lekhi <p>The technology has been growing from day to day in human life. The basic need of human to lead his/her life comfortably is a home. A home with updated latest technology which means a smart home. In such a scenario, there is a need to have an endeavour to have everything at the push of a button away, and more importantly, automated. Home Automation is such an endeavour, in which, all the electrical appliances present at home are connected to each other, having interactions with sensors placed at strategic positions in a closed loop manner to perform meagre tasks automatically, leaving less burden on the humans. With this project we are promoting the fact that Home Automation can greatly contribute to energy conservation too. This paper gives the basic idea use cisco packet tracer to implement smart home. Cisco implemented (IoT) functionalities in the latest version of the platform, and now it is possible to add all the smart devices, sensors, actuators, and devices, which simulate microcontrollers like Arduino or Raspberry Pi to the network. All IoT devices can be run on generic programs or modified by Java, Python or Blocky programming them. This makes Cisco Packet Tracer a perfect method to construct functional simulations for IoT.</p> 2021-06-22T00:00:00+00:00 Copyright (c) 2021 Sucheta Gupta, Sushil Lekhi An Economic Model of Machine Translation 2021-05-25T14:51:30+00:00 Milam Aiken Mina Park <p>With the advent of free, online translation services such as <em>Google Translate, </em>many people are now able to obtain information relatively effortlessly from a wide variety of foreign language sources. The translations from these services are often worse than those provided by professional, human translators, however, and the tradeoff between these two alternatives is not always clear. When should a professional be used, and when is machine translation sufficient? In this study, we discuss factors involved in the decision and illustrate their use with a predictive model.</p> 2021-06-16T00:00:00+00:00 Copyright (c) 2021 Milam Aiken, Mina Park Digital Business Model Innovation: Empirical insights into the drivers and value of Artificial Intelligence 2021-05-09T10:27:19+00:00 Johannes Winter <p>The business activities of traditional industrial companies have commonly focused on products and product-related services. Digital pioneers have evolved their offerings into product-service systems that are networked, intelligent, personalized, and adaptable. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players better today than tomorrow to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business model innovation in industry and the service sector and to enrich it with practical examples of the successful implementation of artificial intelligence in products and services.</p> 2021-05-27T00:00:00+00:00 Copyright (c) 2021 Johannes Winter A Tool Development Framework to Support Design Thinking for Software Engineering 2021-03-19T05:44:45+00:00 Ayse Kok Arslan <p><em> </em>This research aims to create a framework to guide the development of design thinking support tools - that is, tools that enable people to express themselves creatively and develop as creative thinkers. The main goal is to develop advanced software and social networking sites that empower users to not only be productive, but also have new technologies. Potential users of these interfaces include software with other engineers, various scientists, product and image designers, builders, teachers, students and many more. Improved communication methods can enable effective psychological search, improved interaction between groups, and faster recovery processes. These advanced combinations should also provide strong support for hypothesis formation, rapid testing of alternatives, improved visual perception, and better distribution of results.</p> 2021-04-29T00:00:00+00:00 Copyright (c) 2021 Ayse Kok Arslan An Empirical Model For Validity And Verification Of Ai Behavior: Overcoming Ai Hazards In Neural Networks 2021-03-31T14:44:36+00:00 Ayse K Arslan <p>Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. This paper discusses hazards in machine learning systems, defined as unintended and harmful behavior that may emerge from poor design of real-world AI systems with a particular focus on ANN. The paper provides a review of previous work in these areas as well as suggesting research directions with a focus on relevance to cutting-edge AI systems with a focus on neural networks. Finally, the paper considers the high-level question of how to think most productively about the safety of forward-looking applications of AI.</p> 2021-04-29T00:00:00+00:00 Copyright (c) 2021 Ayse K Arslan Developing a Conversational Agent to Explore Machine Learning Concepts 2021-03-19T05:56:20+00:00 Ayse Kok Arslan <p>This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.</p> 2021-04-14T00:00:00+00:00 Copyright (c) 2021 Ayse Kok Arslan AN EMPIRICAL MODEL FOR EXPLORING AI IN GOVERNMENT: PUTTING SOCIO-TECHNOLOGICAL SYSTEMS PERSPECTIVES INTO USE 2021-03-19T05:47:17+00:00 Ayse Kok Arslan <p>This study explores the evolution of global AI dynamics by discussing its role in government with a focus on aspects of development and governance of social and technological systems (STS). This document reports three research questions, including the extent of the analysis: (1) theories regarding the concept of AI in the public sector; (2) expectations regarding the development of AI in the public sector; and, (3) the challenges and opportunities of AI in the public sector. This experimental study provides an experimental framework for a comprehensive approach to measuring the magnitude of AI policy that allows for the methods of evaluating different governance practices and policy priorities in different countries. The study sheds light onto areas of policy that have the potential to implement AI programs and strategies; administrative functions open to the acceptance of AI applications and strategies; and the challenges / risks that community managers may face in defining AI policies and projects in the public sector including how to deal with cyber-troops.</p> 2021-04-14T00:00:00+00:00 Copyright (c) 2021 Ayse Kok Arslan Code Generation from Simulink Models with Task and Data Parallelism 2021-03-22T07:05:41+00:00 Pin Xu Masato Edahiro Kondo Masaki <p>In this paper, we propose a method to automatically generate parallelized code from Simulink models, while exploiting both task and data parallelism. Building on previous research, we propose a model-based parallelizer (MBP) that exploits task parallelism and assigns tasks to CPU cores using a hierarchical clustering method. We also propose a<br />method in which data-parallel SYCL code is generated from Simulink models; computations with data parallelism are expressed in the form of S-Function Builder blocks and are executed in a heterogeneous computing environment. Most parts of the procedure can be automated with scripts, and the two methods can be applied together. In the evaluation, the data-parallel programs generated using our proposed method achieved a maximum speedup of approximately 547 times, compared to sequential programs, without observable differences in the computed results. In addition, the programs generated while exploiting both task and data parallelism were confirmed to have achieved better performance than those exploiting either one of the two.</p> 2021-04-14T00:00:00+00:00 Copyright (c) 2021 Pin Xu, Masato Edahiro, Kondo Masaki