IJARAI Volume 5 Issue 3

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: Creation of a Remote Sensing Portal for Practical Use Dedicated to Local Goverments in Kyushu, Japan

Abstract: Remote sensing portal site for practical uses which is dedicated to local governments is created. Key components of the site are (1) links to data providers, (2) links to the data analysis software tools, (3) examples of actual uses of the satellite remote sensing data in particular for local governments. Users’ demands for remote sensing satellite data are investigated for the local governments situated in Kyushu, Japan. According to the users’ demands, the remote sensing portal site is created with the aforementioned key components. For the examples of remote sensing data applications, creation of land use maps, disaster mitigations, forest maps, vegetation index map for evaluation of vitality of agricultural fields and forests, etc. are taken into account. In particular for forest map creation, it is created with free open source software: FOSS of classifiers together with open data API derived training samples applied to Landsat-8 OLI data. On the other hand, volcanic eruption is featured for disaster relief with 3D representation by using open data derived DEM data. In accordance with the users’ evaluation reports, it is found that the proposed portal site is useful.

Author 1: Kohei Arai
Author 2: Masaya Nakashima

Keywords: Remote Sensing; Satellite data; Land use map creation; Disaster prevention; Normalized Difference Vegetation Index: NDVI; Forest map; Volacanic eruption; 3D representation with Digital Elevation Model: DEM; Open data API

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Paper 2: Implement Fuzzy Logic to Optimize Electronic Business Success

Abstract: Customers are realizing the importance and benefits of shopping online such as convenience, comparison, product research, larger selection, and lower prices. The dynamic nature of e-commerce evokes online businesses to make alterations in their business processes and decisions making to satisfy customers’ needs. Online businesses are adopting Business Intelligence (BI) tools and systems with the collaboration of fuzzy logic system to forecast the future of the e-commerce. With the aid of BI, businesses have more possibilities to choose types and structures of required information to serve customers. The fuzzy logic system and BI capabilities would allow both customers and vendors to make right decisions about online shopping. Many experts believe that trust and security are critical risk factors for the embracement of e-commerce. Online trust may be influenced by factors such as usability, familiarity and conducting business with unknown parties. This paper discusses fuzzy logic and BI approach to gauge the level of trust and security in online transactions. The paper further addresses the issues and concerns related to the equilibrium of trust, security, and usability in online shopping.

Author 1: Fahim Akhter

Keywords: Business Intelligence; Fuzzy Logic; Electronic Business; Trust; Security; Usability

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Paper 3: Applying Swarm Optimization Techniques to Calculate Execution Time for Software Modules

Abstract: This research aims to calculate the execution time for software modules, using Particle Swarm Optimization (PSO) and Parallel Particle Swarm Optimization (PPSO), in order to calculate the proper time. A comparison is made between MATLAB Code without Algorithm (MCWA), PSO and PPSO to figure out the time produced when executing any software module. The proposed algorithms which include the PPSO increase the speed of executing the algorithm itself, in order to achieve quick results. This research introduces the proposed architecture to calculate execution time and uses MATLAB to implement MCWA, PSO and PPSO. The results show that PPSO algorithm is more efficient in speed and time compared to MCWA and PSO algorithm for calculating the execution time.

Author 1: Nagy Ramadan Darwish
Author 2: Ahmed A. Mohamed
Author 3: Bassem S. M. Zohdy

Keywords: Particle Swarm Optimization; Parallel Particle Swarm Optimization; MATLAB Code without Algorithm

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Paper 4: Improving Performance of Free Space Optics Link Using Array of Receivers in Terrible Weather Conditions of Plain and Hilly Areas

Abstract: Free-space optical (FSO) communication is a cost effective and high data rate access technique, which has been proving itself a best alternative to radio frequency technology. FSO link provides high bandwidth solution to the last mile access bottleneck. However, for terrestrial communication systems, the performance of these links is severely degraded from atmospheric loss mainly due to fog, rain and snow. So, a continuous availability of the link is always a concern. This paper investigates the dreadful weather effects such as rain, fog, snow, and other losses on the transmission performance of FSO systems. The technique of using an array of receivers for improving the performance of FSO links is explored in this paper. It involves the deployment of multiple photo detectors at the receiver end to mitigate effects of various weather conditions. The performance of the proposed system is evaluated in terms of bit error rate, received signal power, Q- factor and height of eye diagram. The influence of various weather conditions of plain and hilly areas are taken into consideration and results are compared with conventional FSO links.

Author 1: Amit Gupta
Author 2: Surbhi Bakshi
Author 3: Shaina
Author 4: Mandeep Chaudhary

Keywords: Free space optics (FSO) communication; Array of photo detectors; Bit Error Rate (BER); Eye diagram; Quality factor (Q factor); Bad weather effects

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Paper 5: Packrat Parsing: A Literature Review

Abstract: Packrat parsing is recently introduced technique based upon expression grammar. This parsing approach uses memoization and ensures a guarantee of linear parse time by avoiding redundant function calls by using memoization. This paper studies the progress made in packrat parsing till date and discusses the approaches to tackle this parsing process efficiently. In addition to this, other issues such as left recursion, error reporting also seems to be associated with this type of parsing approach and discussed here the efforts attempted by researchers to address this issue. This paper, therefore, presents a state of the art review of packrat parsing so that researchers can use this for further development of technology in an efficient manner.

Author 1: Manish M. Goswami
Author 2: Dr. M.M. Raghuwanshi
Author 3: Dr. Latesh Malik

Keywords: Parsing Expression Grammar; Packrat Parsing; Memoization; Backtracking

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Paper 6: Micro-Blog Emotion Classification Method Research Based on Cross-Media Features

Abstract: Although the sentiment analysis of tweet has caused more and more attention in recent years, most existing methods mainly analyze the text information. Because of the fuzziness of emotion expression, users are more likely to use mixed ways, such as words and image, to express their feelings. This paper proposes a classification method of tweet emotion based on fusion feature, which combines the textual feature and the image feature effectively. Due to the sparse data and the high degree of the redundancy of the classification feature, we adopt the canonical correlation analysis to reduce dimensions of data expressed by the text emotional feature and image feature. The dimension reduction of data can maximally retains the relevance of characteristics of the text and the emotional image on the high-level semantic and utilize the support vector machine (SVM) to train and test the feature fusion data set. The results of data experiment on Sina tweet show that the algorithm can obtain better classification effect than the single feature selection methods.

Author 1: Qiang Chen
Author 2: Jiangfan Feng

Keywords: tweet sentiment classification; CCA; Text emotional; Image emotional

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Paper 7: The True Nature of Numbers is that they are a Group Associated with the Painlevé Property

Abstract: The true nature of numbers is that they are a group associated with the moving Painlevé property. In the past, humans considered numbers to be individual entities. The two-point selective ability of living beings can be considered to have established today’s mathematical logic. We can consider mathematical logic to have been formed by the minimum condition of a consistent group (There is no discrepancies group) resulting from a light spectrum being transmitted to or reflected on a three-dimensional closed manifold. In other words, examining the characteristics of the light spectrum enables an understanding of the characteristics of human perception, and an understanding of the characteristics of the numbers perceived by human perception. Based on the understanding of these characteristics, humans think about perceiving mathematical logic. What was unfortunate in the past about the logical constructions that started with Gödel, is that they sought for the concept of numbers amid mathematical logic. Cellular automatons have advanced this approach by physicalizing it, and Conway revealed discrepancies by creating actual machines [12].The decimal system, in itself, is simply a notation tool and merely a notation. Owing to the structure of base conversion, it is convenient to use decimals in two-dimensional notations. However, decimals cannot be used in three-dimensional notations; instead, circular numbers are generated. This can be considered the result of using “0,” although the concept of writing out a three-dimensional notation consistently should be created separately. With no concept of null (?) in the “ Set theory and the continuum hypothesis”[5], that the perception of the human body is simply maximizing the margin of classification boundaries in a SVM problem [3]. How to consider maximizing the margin of classification boundaries in perceiving the problem could be thought of as the theme for the theory of numbers. Current, by "The International System of Units (SI)" has been defined, A unit got association that the unified. By using the unit, it will be elucidated also algorithms of the molecular structure in the organism. We need a third algorithm. It is the algorithm of the molecular structure organism, that is"the number of recognition" and "the number of physical"Is an algorithm to unify. In other words, temporary has been described structure in this paper, a common algorithm that is "the number of physical" and”the number of recognition". Once again, it was discussed the number of nature, for that algorithm. In the future, to make a key operation using this algorithm. I wish to apply to display notation the development of new devices.

Author 1: Yoshimi SHIMOKAWA

Keywords: cognitive science; pattern recognition; scale invariance; Painlevé Property

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Paper 8: Application of Vague Analytical Hierarchy Process to Prioritize the Challenges Facing Public Transportation in Dar Es Salaam City-Tanzania

Abstract: Transportation is a key to the economy and social welfare; it makes mobility more accessible and enhances the social and economic interactions. On the other hand, the increase of urban population, pollution and other negative impacts has directly affected the existing transportation system in Dar es Salaam City - Tanzania. As the transportation challenges cannot be overcome simultaneously due to the scarcity of financial resources, a decision support tool is needed to prioritize these challenges. In this study, a composite model of Vague Set Theory (VST) and Analytical Hierarchy Process (AHP) is applied to appraise the challenges. The Vague Analytical Hierarchy Process (VAHP) uses opinions of experts collected from a survey questionnaire. The computational results reveal the ranking in descending order of the urban transportation challenges as poor traffic management, inadequacy of proper public transit service and inadequacy of road transport infrastructure. The results also depict that the VAHP model is a useful decision support tool for transport planners, transport policy makers and other industry stakeholders.

Author 1: Erick P. Massami
Author 2: Benitha M. Myamba

Keywords: Analytical Hierarchy Process; Vague Set; Urban Transportation; Transportation Challenge; Decision making

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