3-D Object Recognition Techniques: A Survey

1994 ◽  
Author(s):  
Mruthyunjaya S. Telagi ◽  
Athamaram H. Soni
Keyword(s):  
Object Recognition ◽  
Real World ◽  
Material Handling ◽  
Intelligent System ◽  
Research Work ◽  
Working Environment ◽  
The Real ◽  
Visual Systems ◽  
Environment Research

Abstract Visual systems for inspection and material handling are becoming popular in manufacturing. In last decade visual systems have made commendable progress, but most of the success in their application has been achieved in controlled working environment. Research work is going now in designing intelligent visual systems which can respond to changing working environment. Following is the discussion of different visual systems. Where ever possible we have discussed their merits and limitations. Even though research in this area looks promising still lot of work has to be done to build real intelligent system to satisfactorily apply in the real world.

Advantages and Obstacles of Applying Physiological Computing in Real World: Lessons Learned from Simulator Based Maritime Training

2017 ◽  
Vol Vol 159 (A2) ◽  
Author(s):  
Y Wu ◽  
T Miwa ◽  
M Uchida
Keyword(s):  
Real World ◽  
Body Movement ◽  
Heart Beat ◽  
Lessons Learned ◽  
Model Verification ◽  
Working Environment ◽  
The Real ◽  
Usability Tests ◽  
Movement Artefact ◽  
Laboratory Technology

While simulator based maritime training is widely implemented under international maritime organization (IMO) convention and model courses, troublesome issues such as objective evaluation of training effectiveness remain unsolved. Physiological computing system (PhyCS) refers to an innovative bidirectional human computer interaction which is achieved by monitoring, analysing, and responding to operators’ psychophysiological activities in real-time. With the development of wearable devices, it becomes promising to apply PhyCS, which was considered as a laboratory technology, in real-world scenarios. In our experience utilizing view tracker, portable heart beat sensor, electroencephalogram device, and web-cameras in simulator based maritime training, PhyCS shows potential for advanced applications in operator performance assessment, usability tests, and adaptive training. However, ambulatory working environment, body movement artefact, and model verification are intricate obstacles that constrain its applications in the real world. By examining the advantages and obstacles, this paper aims to develop guidelines to apply PhyCS in the real-world.

scholarly journals Data Mining based Prediction of Demand in Indian Market for Refurbished Electronics

2020 ◽  
Vol 2 (3) ◽  
pp. 153-159
Author(s):  
Dr. V. Suma
Keyword(s):  
Data Mining ◽  
Real World ◽  
Research Work ◽  
Analysis Data ◽  
Business Environment ◽  
Customer Behavior ◽  
The Real ◽  
Market Factors ◽  
Real World Datasets ◽  
The Impact

There has been an increasing demand in the e-commerce market for refurbished products across India during the last decade. Despite these demands, there has been very little research done in this domain. The real-world business environment, market factors and varying customer behavior of the online market are often ignored in the conventional statistical models evaluated by existing research work. In this paper, we do an extensive analysis of the Indian e-commerce market using data-mining approach for prediction of demand of refurbished electronics. The impact of the real-world factors on the demand and the variables are also analyzed. Real-world datasets from three random e-commerce websites are considered for analysis. Data accumulation, processing and validation is carried out by means of efficient algorithms. Based on the results of this analysis, it is evident that highly accurate prediction can be made with the proposed approach despite the impacts of varying customer behavior and market factors. The results of analysis are represented graphically and can be used for further analysis of the market and launch of new products.

scholarly journals Age and Gender Detection Using CNN

2021 ◽  
pp. 29-33
Author(s):  
Prof. Jaydeep Patil ◽  
Rohit Thombare ◽  
Yash deo ◽  
Rohit Kharche ◽  
Nikhil Tagad
Keyword(s):  
Real World ◽  
Working Environment ◽  
Age And Gender ◽  
The Real ◽  
Lighting Conditions ◽  
And Gender ◽  
Gender Detection ◽  
World Environment ◽  
Age Estimates

In recent years, much effort has been put forth to balance age and sexuality. It has been reported that the age can be accurately measured under controlled areas such as front faces, no speech, and stationary lighting conditions. However, it is not intended to achieve the same level of accuracy in the real world environment due to the wide variation in camera use, positioning, and lighting conditions. In this paper, we use a recently proposed mechanism to study equipment called covariate shift adaptation to reduce the change in lighting conditions between the laboratory and the working environment. By examining actual age estimates, we demonstrate the usefulness of our proposed approach.

scholarly journals Really natural adversarial examples

2021 ◽  
Author(s):  
Anibal Pedraza ◽  
Oscar Deniz ◽  
Gloria Bueno
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Object Recognition ◽  
Image Quality ◽  
Real World ◽  
Deep Neural Networks ◽  
Distance Metrics ◽  
The Real ◽  
Adversarial Examples ◽  
General Object

AbstractThe phenomenon of Adversarial Examples has become one of the most intriguing topics associated to deep learning. The so-called adversarial attacks have the ability to fool deep neural networks with inappreciable perturbations. While the effect is striking, it has been suggested that such carefully selected injected noise does not necessarily appear in real-world scenarios. In contrast to this, some authors have looked for ways to generate adversarial noise in physical scenarios (traffic signs, shirts, etc.), thus showing that attackers can indeed fool the networks. In this paper we go beyond that and show that adversarial examples also appear in the real-world without any attacker or maliciously selected noise involved. We show this by using images from tasks related to microscopy and also general object recognition with the well-known ImageNet dataset. A comparison between these natural and the artificially generated adversarial examples is performed using distance metrics and image quality metrics. We also show that the natural adversarial examples are in fact at a higher distance from the originals that in the case of artificially generated adversarial examples.

scholarly journals Data Mining based Prediction of Demand in Indian Market for Refurbished Electronics

2020 ◽  
Vol 2 (2) ◽  
pp. 101-110
Author(s):  
Dr. Suma V.
Keyword(s):  
Data Mining ◽  
Real World ◽  
Research Work ◽  
Analysis Data ◽  
Business Environment ◽  
Customer Behavior ◽  
The Real ◽  
Market Factors ◽  
Real World Datasets ◽  
The Impact

There has been an increasing demand in the e-commerce market for refurbished products across India during the last decade. Despite these demands, there has been very little research done in this domain. The real-world business environment, market factors and varying customer behavior of the online market are often ignored in the conventional statistical models evaluated by existing research work. In this paper, we do an extensive analysis of the Indian e-commerce market using data-mining approach for prediction of demand of refurbished electronics. The impact of the real-world factors on the demand and the variables are also analyzed. Real-world datasets from three random e-commerce websites are considered for analysis. Data accumulation, processing and validation is carried out by means of efficient algorithms. Based on the results of this analysis, it is evident that highly accurate prediction can be made with the proposed approach despite the impacts of varying customer behavior and market factors. The results of analysis are represented graphically and can be used for further analysis of the market and launch of new products.

ADVANTAGES AND OBSTACLES OF APPLYING PHYSIOLOGICAL COMPUTING IN REAL WORLD: LESSONS LEARNED FROM SIMULATOR BASED MARITIME TRAINING

2021 ◽  
Vol 159 (A2) ◽  
Author(s):  
Y Wu ◽  
T Miwa ◽  
M Uchida
Keyword(s):  
Real World ◽  
Body Movement ◽  
Heart Beat ◽  
Lessons Learned ◽  
Model Verification ◽  
Working Environment ◽  
The Real ◽  
Usability Tests ◽  
Movement Artefact ◽  
Laboratory Technology

While simulator based maritime training is widely implemented under international maritime organization (IMO) convention and model courses, troublesome issues such as objective evaluation of training effectiveness remain unsolved. Physiological computing system (PhyCS) refers to an innovative bidirectional human computer interaction which is achieved by monitoring, analysing, and responding to operators’ psychophysiological activities in real-time. With the development of wearable devices, it becomes promising to apply PhyCS, which was considered as a laboratory technology, in real-world scenarios. In our experience utilizing view tracker, portable heart beat sensor, electroencephalogram device, and web-cameras in simulator based maritime training, PhyCS shows potential for advanced applications in operator performance assessment, usability tests, and adaptive training. However, ambulatory working environment, body movement artefact, and model verification are intricate obstacles that constrain its applications in the real world. By examining the advantages and obstacles, this paper aims to develop guidelines to apply PhyCS in the real-world.

scholarly journals Women in Bollywood

2021 ◽  
Vol 58 (1) ◽  
pp. 4856-4863
Author(s):  
Umang Gupta, Dr. Rakesh Prakash
Keyword(s):  
Mass Media ◽  
Cultural Values ◽  
Real World ◽  
Research Work ◽  
Vital Role ◽  
The Real ◽  
Research Article ◽  
The World ◽  
Hindi Cinema

Cinema Industry is a popular form of mass media believed to entertain. This experience helps the audience to skip to the world that is ascetically different from the real world, the land which helps them to escape from the daily drudge of life. Cinema is a popular form of art medium which plays a vital role in reinforcing dominant cultural values, constructing images and molding opinion. This research article deals with the portrayal of women in mainstream cinema “Bollywood”. It is important to examine this issue as women are the large part of country’s population and therefore their representation on screen is essential for determining the existing stereotypes in society. This paper will investigate about how mainstream Hindi cinema is restricted with limited defined sketches of womanhood. It will also examine about whether the mainstream Hindi Cinema has been successful in representing women’s different shades through celluloid screen in a society with patriarchal values. The data collected for the research work is secondary. This study is exploratory and the method used for research is qualitative.

Using Senario-Based Learning for E-Learning in Vocational Education

2007 ◽  
pp. 232-246 ◽  
Author(s):  
K.C. Chu
Keyword(s):  
Vocational Education ◽  
Virtual Environment ◽  
Real World ◽  
Working Environment ◽  
Multimedia Technology ◽  
Web Based ◽  
The Real ◽  
Actual Working ◽  
E Learning ◽  
Preliminary Study

A multimedia web-based scenario-learning package is prepared for the students of an engineering course. This learning package is to simulate a scenario, which is close to the students’ learning or future working environment. Using up-to-date information and multimedia technology, it can simulate issues and conditions similar to those encountered in the real world. Students can virtually experience how the actual working environment should be. They can also take this opportunity to study how different equipment are interconnected together and signals flowing between different units. Student can use this virtual environment to understand deeper about the operation and the theory behind. Further explanation will be displayed in hierarchical way to suit different background of students. This online scenario-based learning package is to let all students have chance to virtually immerse in a scenario to enhance their learning and knowledge. Preliminary study shows that this scenario-based learning is well accepted by students and is worth for further study.

scholarly journals DIGITISED HUMAN LIFE FORM ISOMORPHIC ALGORITHM

2016 ◽  
pp. 162-167
Author(s):  
T. MOHANAN ◽  
V. MOHANATHAN ◽  
D. JEEVANANDHAM ◽  
I. SARAVANAN
Keyword(s):  
Genetic Algorithms ◽  
Object Recognition ◽  
Real World ◽  
Life Form ◽  
Human Life ◽  
Life Forms ◽  
The Real ◽  
Digital World ◽  
Artificial Environment ◽  
Code Base

ISOs are "isomorphic algorithms", which are life forms that emerged-- unplanned--from the artificial environment of the grid.Isomorphic Algorithms (better known as ISOs) are a race of programs that spontaneously evolved on the Grid, as opposed to being created by users. ISOs differ from standard programs with distinctions in their appearance and capabilities, but where they are truly unique is in their code base. While regular programs conform to the rigid structure defined by their users, ISOs have evolved, complete with a genetic code of sorts.. This inner structure of their code has allowed ISOs to develop beyond the capabilities of regular programs.. These miraculous algorithms had the capacity to evolve and change and grow at tremendous rates utilizing genetic algorithms, whereas normal programs that were intentionally written by users could only change slowly in anticipated fashions. What's REALLY important about the isomorphic algorithms id, it is revealed that indeed programs can escape the grid into the real world, essentially raising questions of what is life, sentience, the soul, etc. that humanity is no longer confined to humans, but has essentially arisen out of our digital dust and the real and digital world can become interchangeable This kind of human life form is made possible for ISOs because of digital DNA and object recognition which is made possible in isomorphic algorithms.. In this paper we aregoing to describe how an algorithm can be emergedinto human life form.

scholarly journals Can Certain Actions in Virtual Space Make a Human Being Impatient?

2020 ◽  
Keyword(s):  
Real Time ◽  
Search Engine ◽  
Real World ◽  
Research Work ◽  
Virtual Space ◽  
Research Centre ◽  
Scientific Article ◽  
The Real ◽  
Internet Users ◽  
Transverse Zone

Summary: In 2005, Research Centre for the Study and Observation of Living Conditions noted that 62% of Internet users are trying to save time in preparing for their purchase. It is now 89% for online buyers [1]. In 2018, a survey carried out for the management of the Lemonde.fr site measured that after five seconds of waiting, out of ten potential readers behind the screen, three abandon [2]. According to the Baromil survey from 2018, because the information is available in real time, we are constantly connected in real time. Google, the most used search engine, does not even take 1 second to display thousands of results for our query, whatever it may be [3]. According to Jean Cottraux, psychiatrist and psychotherapist, we are faced with “a society that pushes buttons. We are constantly waiting for an immediate response” [4]. These few examples and with regard to my own research work on Behavioural Differentiations between the Real and the Virtual, my theories on “Avatarization”, the “Transverse Zone” and the “Virtual Intelligence”, developed in my scientific article and my books, impatience seems to have increased due to the use of the connected tool [5,6]. Behaviours have changed from that. These behaviors can also be reproduced in the real world. What about impatience? How is it characterized in the real and virtual?

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