Pub Date : 2020-10-01DOI: 10.4018/ijiit.2020100104
Aahan Singh, N. Nagaraj, Srinidhi Hiriyannaiah, L. Patnaik
Artificial intelligence has paved the way for different areas of computing such as speech recognition and translation, object detection, machine translation, and others. One of the goals of artificial general intelligence is to simulate human thinking and rationality within machines such that they are able to perceive their environment and then perform reasonable actions based on their perception. Creating a single model that performs every single task from visual perception to actuation is currently impossible. The system must be divided into several models each of which functions independently as well also contribute to the operation of the whole intelligent machine. In this paper, an intelligent sensing and caption generation (ISCG) system is proposed which is capable of detecting living/non-living objects and states of motion in images. The system consists of two separate modules of caption generator and intelligence engine with a Convolutional Neural Network (CNN) for determining the different objects in the images. Our model yields state-of-the-art performance on benchmarked dataset.
{"title":"ISCG","authors":"Aahan Singh, N. Nagaraj, Srinidhi Hiriyannaiah, L. Patnaik","doi":"10.4018/ijiit.2020100104","DOIUrl":"https://doi.org/10.4018/ijiit.2020100104","url":null,"abstract":"Artificial intelligence has paved the way for different areas of computing such as speech recognition and translation, object detection, machine translation, and others. One of the goals of artificial general intelligence is to simulate human thinking and rationality within machines such that they are able to perceive their environment and then perform reasonable actions based on their perception. Creating a single model that performs every single task from visual perception to actuation is currently impossible. The system must be divided into several models each of which functions independently as well also contribute to the operation of the whole intelligent machine. In this paper, an intelligent sensing and caption generation (ISCG) system is proposed which is capable of detecting living/non-living objects and states of motion in images. The system consists of two separate modules of caption generator and intelligence engine with a Convolutional Neural Network (CNN) for determining the different objects in the images. Our model yields state-of-the-art performance on benchmarked dataset.","PeriodicalId":43967,"journal":{"name":"International Journal of Intelligent Information Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88954839","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}
This study investigates user perceptions and employment of interface agents for email notification to answer three research questions pertaining to user demographics, typical usage, and perceptions of this technology. A survey instrument was administered to 75 email interface agent users. Current email interface agent users are predominantly male, well-educated and well-off innovative individuals who are occupied in the IS/IT sector, utilize email heavily and reside in an English-speaking country. They use agents to announce incoming messages and calendar reminders. The key factors why they like to use agents are perceived usefulness, enjoyment, ease of use, attractiveness, social image, an agent’s reliability and personalization. The major factors why they dislike doing so are perceived intrusiveness of an agent, agent-system interference and incompatibility. Users envision ‘ideal email notification agents’ as highly intelligent applications delivering messages in a non-intrusive yet persistent manner. A model of agent acceptance and use is suggested.
{"title":"User Perceptions and Employment of Interface Agents for Email Notification: An Inductive Approach","authors":"A. Serenko","doi":"10.4018/jiit.2009070103","DOIUrl":"https://doi.org/10.4018/jiit.2009070103","url":null,"abstract":"This study investigates user perceptions and employment of interface agents for email notification to answer three research questions pertaining to user demographics, typical usage, and perceptions of this technology. A survey instrument was administered to 75 email interface agent users. Current email interface agent users are predominantly male, well-educated and well-off innovative individuals who are occupied in the IS/IT sector, utilize email heavily and reside in an English-speaking country. They use agents to announce incoming messages and calendar reminders. The key factors why they like to use agents are perceived usefulness, enjoyment, ease of use, attractiveness, social image, an agent’s reliability and personalization. The major factors why they dislike doing so are perceived intrusiveness of an agent, agent-system interference and incompatibility. Users envision ‘ideal email notification agents’ as highly intelligent applications delivering messages in a non-intrusive yet persistent manner. A model of agent acceptance and use is suggested.","PeriodicalId":43967,"journal":{"name":"International Journal of Intelligent Information Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2009-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90494188","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}
The present study implements a generic methodology for describing and analyzing demand supply networks, that is, networks from a company’s suppliers to its customers. There can be many possible demand supply networks with different logistics costs for a product. Therefore, we introduce a Petri Net-based formalism, and a reachability analysis based algorithm that finds the optimum demand supply network for a user-specified product structure. The method has been implemented and is currently in production use inside all Nokia business groups. It is used in demand supply planning of both network elements and handsets. An example of the method’s application to a concrete Nokia product is included.
{"title":"Supporting Demand Supply Network Optimization with Petri Nets","authors":"T. Tynjala","doi":"10.4018/JIIT.2007100104","DOIUrl":"https://doi.org/10.4018/JIIT.2007100104","url":null,"abstract":"The present study implements a generic methodology for describing and analyzing demand supply networks, that is, networks from a company’s suppliers to its customers. There can be many possible demand supply networks with different logistics costs for a product. Therefore, we introduce a Petri Net-based formalism, and a reachability analysis based algorithm that finds the optimum demand supply network for a user-specified product structure. The method has been implemented and is currently in production use inside all Nokia business groups. It is used in demand supply planning of both network elements and handsets. An example of the method’s application to a concrete Nokia product is included.","PeriodicalId":43967,"journal":{"name":"International Journal of Intelligent Information Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70494016","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}
This article reports the results of a project attempting to assess the performance of the new Microsoft search engine (MSE) from various perspectives. Specifically, the study collects statistics, such as the average user response time, average process time for a query reported by MSE itself, the number of pages relevant to a query, and comparisons with its competitors. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE per-forms well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this article is to use different measures to assess and compare the quality of different search engines, especially MSE.
{"title":"An Empirical Performance Measurement of Microsoft's Search Engine and its Comparison with Other Major Search Engines","authors":"X. Meng, Song Xing, T. Clark","doi":"10.4018/jiit.2007040105","DOIUrl":"https://doi.org/10.4018/jiit.2007040105","url":null,"abstract":"This article reports the results of a project attempting to assess the performance of the new Microsoft search engine (MSE) from various perspectives. Specifically, the study collects statistics, such as the average user response time, average process time for a query reported by MSE itself, the number of pages relevant to a query, and comparisons with its competitors. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE per-forms well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this article is to use different measures to assess and compare the quality of different search engines, especially MSE.","PeriodicalId":43967,"journal":{"name":"International Journal of Intelligent Information Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73858249","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}
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