2019 Artificial Intelligence for Transforming Business and Society (AITB)最新文献

Nepali Image Captioning 尼泊尔图片说明

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947436

A. Adhikari, Sushil Ghimire

{"title":"Nepali Image Captioning","authors":"A. Adhikari, Sushil Ghimire","doi":"10.1109/AITB48515.2019.8947436","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947436","url":null,"abstract":"Neural networks have seen a surge in applications ranging image recognition, time series prediction, and image captioning among others. The task of image captioning combines two fields of machine learning - computer vision and natural language processing. Several works have been done for image captioning in dominant languages like English and Mandarin with impressive results. The challenge, however, increases for Nepali, a language with a complex grammatical structure. With inherently complex grammar, inputting an image and generating the description of the image in Nepali with correct grammar is hard to achieve. Also, a standard data set does not exist for such tasks in Nepali. This work on image captioning in Nepali is the first of its kind that establishes a baseline for tasks of this sort and aims to encourage other researchers to pursue this line of research. For this, it makes public the data set that was generated during this process so as to provide a standard data set for future works. This work builds on top of the model proposed by [24] and generates image descriptions in Nepali. Describing the contents of an image in Nepali has several applications. Additionally, this work serves as a gateway to more challenging problems such as a video descriptor system and image search for search engines in Nepali. This work utilizes two encoder-decoder architectures, one with visual attention and another without visual attention. We empirically show the loss and perplexity of model performances using different optimizers. The captions generated are agreeable and coherent with the images in general and leave room for improvements in the future.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120946787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Image Enhancement Using Successive Mean Quantization Transform and Homomorphic Filtering 基于连续均值量化变换和同态滤波的图像增强

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947437

S.P. Adhikari, S. Panday

{"title":"Image Enhancement Using Successive Mean Quantization Transform and Homomorphic Filtering","authors":"S.P. Adhikari, S. Panday","doi":"10.1109/AITB48515.2019.8947437","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947437","url":null,"abstract":"Low contrast images are not conducive to human perception and computer vision algorithms due to their low discernibility. In many application quality of acquired images are not suitable, so image has to be enhanced according to the need of a specific application. To solve the problems of detail loss, poor contrast and problems of noise, a new technique based on homomorphic filtering is proposed. This paper contributes to combine the filter based and Successive Mean Quantization Transform (SMQT) algorithm for better image quality of digital image by minimizing the properties such as gain and bias. First, we investigate the result for the standard images and experimental images. Second, we measure the results by using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), blind/reference less image spatial quality evaluator (BRISQUE) and Blind Image Quality Indices (BIQI). Finally, model is compared with enhancement algorithms. Simulation and experimental results demonstrates that proposed model provides better results as compared to other state-of-art contrast enhancement algorithms. The implementation is done using MATLAB.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Papers abstract [13 abstracts] 论文摘要[13篇摘要]

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/aitb48515.2019.8947441

引用次数: 0

Optimal Cyber Threat Intelligent System for Nepal 尼泊尔最佳网络威胁智能系统

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947446

S. Dhungana, P. Upadhyaya

引用次数: 1

Machine Learning algorithm in educational data 教育数据中的机器学习算法

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947443

S. Shrestha, M. Pokharel

引用次数: 5

A Clustering Based Vertical Fragmentation and Allocation of a Distributed Database 基于集群的分布式数据库垂直分片与分配

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947444

Abhishesh Dahal, S. R. Joshi

{"title":"A Clustering Based Vertical Fragmentation and Allocation of a Distributed Database","authors":"Abhishesh Dahal, S. R. Joshi","doi":"10.1109/AITB48515.2019.8947444","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947444","url":null,"abstract":"Distributed Database Management System (DDBMS) is often surrounded with an issue of identifying the best design strategy. Efficiency of this design strategy to a great extent rely upon fragmentation of a relation. It additionally relies upon allocation of the fragment pieces to some sites within the network. Fragmentation and allocation are considered independent, even though they utilize similar information to accomplish a common target. Among the existing fragmentation strategies, vertical fragmentation is regularly viewed as an entangled fragmentation strategies than other on the grounds that the immense number of choices makes it about difficult to get an ideal answer for the vertical fragmentation issue. Allocation of a fragment is a NP-hard problem as it is complex to search an optimal site for holding the fragment. In this manner, we can just hope to discover a heuristic arrangement of solution for all these activities. The main purpose of this research is to present a clustering based fragmentation technique in which table attributes with similarity reside in same fragment cluster. As per the frequency of user query, affinity matrix is generated. This affinity matrix is further utilized to generate affinity cluster. Based on this affinity cluster, attributes having least Euclidian distance between them are considered as similar attributes and vertical fragments are obtained. After the fragments are generated those fragments are allocated to certain desired sites based on allocation table. This approach aims to solve the issue and complexity that occurs in previous vertical fragmentation approach.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128732358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Comparative Analysis on Performance of Minimum Spanning Tree and K-Means Clustering Based Vertical Fragmentation Algorithm 基于最小生成树和k均值聚类的垂直碎片算法性能比较分析

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947442

Abhishesh Dahal, S. R. Joshi

{"title":"A Comparative Analysis on Performance of Minimum Spanning Tree and K-Means Clustering Based Vertical Fragmentation Algorithm","authors":"Abhishesh Dahal, S. R. Joshi","doi":"10.1109/AITB48515.2019.8947442","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947442","url":null,"abstract":"Distributed database is an emerging technology in context of database which is supposed to possess a remarkable benefits for data storage in upcoming future. One of the major distributed database design issue rely upon fragmentation of the relations. Among the fragmentation task, vertical fragmentation exhibits an entangled behavior in comparison to other due to its multi solution nature. The main objective of research highlighted in this paper is to find the best vertical fragmentation algorithm to be utilized for splitting the attributes of a database relation. Two partitioning algorithms namely Minimum Spanning Tree based vertical fragmentation algorithm and K-Means clustering based vertical fragmentation algorithm are employed to generate variety of fragments of a database relation. Further, those generated fragments are compared through partition comparator on the basis of data access cost utilized. The final outcome of the partition comparator concludes the best vertical fragmentation algorithm for utilization. As per the experiment, K-Means Clustering based fragmentation generates less data access cost in comparison to Minimum Spanning Tree based fragmentation.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Photograph Ownership and Authorization using Blockchain 使用区块链的照片所有权和授权

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947438

Kaushal Poudel, A. Aryal, Arpan Pokhrel, P. Upadhyaya

{"title":"Photograph Ownership and Authorization using Blockchain","authors":"Kaushal Poudel, A. Aryal, Arpan Pokhrel, P. Upadhyaya","doi":"10.1109/AITB48515.2019.8947438","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947438","url":null,"abstract":"The number of photographs taken is increasing exponentially each year. This includes the photographs captured by professional as well as non-professional personnel. The ease in accessibility of these work of art over the internet has increased unauthorized use of owner's property without handing them their deserved credit. In addition, the process to take the authorization over the use of the photograph from the respective owner takes a large amount of time as well as money. One of the solutions to this problem is the use of distributed ledger technology known as ‘Blockchain’ in order to keep the decentralized record of ownership. In addition, storing the photograph itself on the decentralized platform can make it more secure. Furthermore, designing a smart contract in which the user and owner can agree on the use of the owner's property can address the problem of unauthorized use. This paper describes the integration of blockchain, distributed storage, and peer-to-peer communication in order to solve the current problem of handling photograph ownership and authorization. Ethereum blockchain is implemented to achieve secure transaction and handling functionality regarding authorization with the help of smart contracts that runs on the blockchain. As the storage layer, the paper discusses the InterPlanetary File System (IPFS) as a distributed database with which the photographs can be stored such that decentralization can be achieved. Only after the verifying the similar image does not exist on the system the image is stored in IPFS. The existence of a duplicate image is done with the implementation of dHash algorithm and hamming distance. Whisper protocol allows the owner of the photograph and user on the Ethereum blockchain to leverage peer-to-peer communication to reach a consensus.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"715 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123046533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Design and Implementation of a Cost-Efficient Smart Home System with Raspberry Pi and Cloud Services 基于树莓派和云服务的低成本智能家居系统的设计与实现

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/AITB48515.2019.8947439

Swojeet Kayastha, P. Upadhyaya

{"title":"Design and Implementation of a Cost-Efficient Smart Home System with Raspberry Pi and Cloud Services","authors":"Swojeet Kayastha, P. Upadhyaya","doi":"10.1109/AITB48515.2019.8947439","DOIUrl":"https://doi.org/10.1109/AITB48515.2019.8947439","url":null,"abstract":"With the advent of the Internet of Things (IoT), a large number of devices are being connected to each other every day. Each connectivity opens the door to new possibilities to make a person's life easier and convenient. A smart home is one such area impacted by IoT which greatly improves a person's life by helping them create a secure environment for his family and carry out his day-to-day activities with ease. Focusing primarily in the context of Nepal where available smart systems are either expensive or lack basic features, this paper essentially deals with the design and implementation of a cost-efficient smart home system focusing on remote surveillance, monitoring different aspects (movement detections, surveillance and temperature and humidity) of a home with notification alerts. Furthermore, the system also aims to reduce electricity usage and minimize energy consumption by helping a person automate their everyday tasks such as turning on/off lights, thermostats, etc. by detecting their presence. Raspberry Pi is the heart of the home system managing all of these services. In addition, Amazon Cloud Services, Simple Email Service (SES) and Simple Notification Service (SNS) are used for notifying users/home-owners. The product could further be regarded as a prototype and additional features could be added on top of it to create one's own version of “smart home”.","PeriodicalId":296159,"journal":{"name":"2019 Artificial Intelligence for Transforming Business and Society (AITB)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130941199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

AITB 2019-Programme Glance AITB 2019-计划概览

2019 Artificial Intelligence for Transforming Business and Society (AITB) Pub Date : 2019-11-01 DOI: 10.1109/aitb48515.2019.8947434

引用次数: 0