scholarly journals Extraction of Posture Silhouettes using Human Posture Feature Points and Spatial Masks for Activity Recognition in Public Place

2021 ◽  
Author(s):  
Monika Monika ◽  
◽  
Dr. Madhulika Bhatia ◽  
Keyword(s):  
Human Behavior ◽  
Research Work ◽  
Extraction Process ◽  
Automated System ◽  
Feature Points ◽  
Public Place ◽  
Public Places ◽  
Human Feature ◽  
Human Attributes ◽  
Feature Attribute

Presently, an automated system has been required for public place security. Recognizing human postures in public places has emerged as a global solution for understanding human behavior in public places. In this work, a model to extract a human feature attribute of its posture has been presented to identify human behavior. The research work in this paper focuses on identifying the seating and standing postures of a person. The proposed methodology aims towards extraction of the human attributes from public places using spatial masks. Consequently, in this process, unwanted details from the background have been removed using the technique to focus on human postures only. The feature extraction process gives us blob vector and posture vector to evaluate human authentication and posture apprehension.

scholarly journals Cotton Wastes Functionalized Biomaterials from Micro to Nano: A Cleaner Approach for a Sustainable Environmental Application

Polymers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1006
Author(s):  
Samsul Rizal ◽  
Abdul Khalil H. P. H. P. S. ◽  
A. A. Oyekanmi ◽  
Niyi G. Olaiya ◽  
C. K. Abdullah ◽  
...  
Keyword(s):  
Building Materials ◽  
Expansive Soils ◽  
Research Work ◽  
Functional Materials ◽  
Extraction Process ◽  
Process Conditions ◽  
Environmental Application ◽  
Isolation Technique ◽  
Metals Removal ◽  
Combined Pretreatment

The exponential increase in textile cotton wastes generation and the ineffective processing mechanism to mitigate its environmental impact by developing functional materials with unique properties for geotechnical applications, wastewater, packaging, and biomedical engineering have become emerging global concerns among researchers. A comprehensive study of a processed cotton fibres isolation technique and their applications are highlighted in this review. Surface modification of cotton wastes fibre increases the adsorption of dyes and heavy metals removal from wastewater. Cotton wastes fibres have demonstrated high adsorption capacity for the removal of recalcitrant pollutants in wastewater. Cotton wastes fibres have found remarkable application in slope amendments, reinforcement of expansive soils and building materials, and a proven source for isolation of cellulose nanocrystals (CNCs). Several research work on the use of cotton waste for functional application rather than disposal has been done. However, no review study has discussed the potentials of cotton wastes from source (Micro-Nano) to application. This review critically analyses novel isolation techniques of CNC from cotton wastes with an in-depth study of a parameter variation effect on their yield. Different pretreatment techniques and efficiency were discussed. From the analysis, chemical pretreatment is considered the most efficient extraction of CNCs from cotton wastes. The pretreatment strategies can suffer variation in process conditions, resulting in distortion in the extracted cellulose’s crystallinity. Acid hydrolysis using sulfuric acid is the most used extraction process for cotton wastes-based CNC. A combined pretreatment process, such as sonication and hydrolysis, increases the crystallinity of cotton-based CNCs. The improvement of the reinforced matrix interface of textile fibres is required for improved packaging and biomedical applications for the sustainability of cotton-based CNCs.

scholarly journals A Research on Multi-View Video Summarization Techniques

2019 ◽  
Vol 9 (1) ◽  
pp. 6837-6846
Keyword(s):  
Video Summarization ◽  
Research Work ◽  
Original Video ◽  
Multiple Views ◽  
Public Places ◽  
Still Images ◽  
Maximum Information ◽  
The Public ◽  
Surveillance Cameras ◽  
Accident Scenarios

Video Surveillance System uses video cameras to capture images and videos that can be compressed, stored and send to place with the limited set of monitors .Now a Days all the public places such as bank, educational institutions, Offices, Hospitals are equipped with multiple surveillance cameras having overlapping field of view for security and environment monitoring purposes. A Video Summarization is a technique to generate the summary of entire Video Content either by still images or through video skim. The summarized video length should be less than the original video length and it should covers maximum information from the original video. Video summarization studies concentrating on monocular videos cannot be applied directly to multiple-view videos due to redundancy in multiple views. Generating Summary for Surveillance videos is more challenging because, videos Captured by surveillance cameras is long, contains uninteresting events, same scene recorded in different views leading to inter-view dependencies and variation in illuminations. In this paper, we present a survey on the research work carried on video summarization techniques for videos captured through multiple views. The summarized video generated can be used for the analysis of post-accident scenarios, identifying suspicious events, theft in public which supports Crime department for the investigation purposes.

scholarly journals A STRATEGY FOR DETERMINING THE CHEMICAL COMPOSITION OF RICE STRAW

2020 ◽  
Vol 54 (9-10) ◽  
pp. 983-991
Author(s):  
MAHESHANI P. A. NANAYAKKARA ◽  
WALAGEDARA G.A. PABASARA ◽  
ADIKARI M.P.B. SAMARASEKARA ◽  
DON A.S. AMARASINGHE ◽  
LALEEN KARUNANAYAKE
Keyword(s):  
Rice Straw ◽  
Research Work ◽  
Extraction Process ◽  
Chemical Extraction ◽  
Cellulose Content ◽  
Sri Lankan ◽  
Asian Countries ◽  
Chemical Methods ◽  
Rice Varieties ◽  
Wet Chemical

As rice is the staple food of most Asian countries, rice straw has become one of the largest agricultural wastes in Asia. It has not been subjected to adequate value additions yet. However, it has excellent potential to be converted to valuable materials, as it contains a significant amount of cellulose. Therefore, it would be beneficial in many ways to identify the cellulose yields of straws of different rice varieties. In general, the cellulose content of biomass is determined by wet chemical methods. Though these methods are accurate, they are not convenient to use under industrial conditions. This research work focuses on investigating the potential of thermal analysis as an alternative way to predict cellulose yields. For the study, rice straws of most frequently cultivated traditional Sri Lankan rice varieties: Suwandel and Raththal, as well as technically modified Sri Lankan rice varieties: BG300 and BG352, were selected. The results obtained by the proposed method were validated by an established three-step chemical extraction process.

scholarly journals Control Law Design for Propofol Infusion to Regulate Depth of Hypnosis: A Nonlinear Control Strategy

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Ali Khaqan ◽  
Muhammad Bilal ◽  
Muhammad Ilyas ◽  
Bilal Ijaz ◽  
Raja Ali Riaz
Keyword(s):  
Nonlinear Control ◽  
Control Strategies ◽  
Research Work ◽  
Automated System ◽  
Control Technique ◽  
Control Law ◽  
Continuous Administration ◽  
To Come ◽  
Pressure Changes ◽  
Infusion System

Maintaining the depth of hypnosis (DOH) during surgery is one of the major objectives of anesthesia infusion system. Continuous administration of Propofol infusion during surgical procedures is essential but increases the undue load of an anesthetist in operating room working in a multitasking setup. Manual and target controlled infusion (TCI) systems are not good at handling instabilities like blood pressure changes and heart rate variability arising due to interpatient variability. Patient safety, large interindividual variability, and less postoperative effects are the main factors to motivate automation in anesthesia. The idea of automated system for Propofol infusion excites the control engineers to come up with a more sophisticated and safe system that handles optimum delivery of drug during surgery and avoids postoperative effects. In contrast to most of the investigations with linear control strategies, the originality of this research work lies in employing a nonlinear control technique, backstepping, to track the desired hypnosis level of patients during surgery. This effort is envisioned to unleash the true capabilities of this nonlinear control technique for anesthesia systems used today in biomedical field. The working of the designed controller is studied on the real dataset of five patients undergoing surgery. The controller tracks the desired hypnosis level within the acceptable range for surgery.

RESTCub: A Language Independent Middleware for Cognitive Robot

2020 ◽  
Vol 17 (05) ◽  
pp. 2050020
Author(s):  
Muhammad Ali Dildar ◽  
Muhammad Asif ◽  
Asma Kanwal ◽  
Maaz Bin Ahmad ◽  
Syed A. Gilani
Keyword(s):  
Human Behavior ◽  
Operating Systems ◽  
Experimental Analysis ◽  
Motor System ◽  
Research Work ◽  
Coupled System ◽  
Level Control ◽  
Proposed Model ◽  
Sensory Motor ◽  
A Minor

Since the last few decades, research in the area of robotics technology has been emphasizing in the modeling and development of cognitive machines. A cognitive machine can have multiple cognitive capabilities to be programmed to make it artificially intelligent. Numerous cognitive modules interact to mimic human behavior in machines and result in such a heavily coupled system that a minor change in logic or hardware may affect a large number of its modules. To address such a problem, several middlewares exist to ease the development of cognitive machines. Although these layers decouple the process of logic building and communication infrastructure of modules, they are language-dependent and have their limitations. A cognitive module developed for one research work cannot be a part of another research work resulting in the re-invention of the wheel. This paper proposes a RESTful technology-based framework that provides language-independent access to low-level control of the iCub’s sensory-motor system. Moreover, the model is flexible enough to provide hybrid communications between cognitive modules running on different platforms and operating systems. Furthermore, a cognitive client is developed to test the proposed model. The experimental analysis performed by creating different scenarios shows the effectiveness of the proposed framework.

scholarly journals A Fuzzy Technique for On-Line Aggregation of POIs from Social Media: Definition and Comparison with Off-Line Random-Forest Classifiers

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 388
Author(s):  
Giuseppe Psaila ◽  
Maurizio Toccu
Keyword(s):  
Social Media ◽  
Random Forest ◽  
Data Sets ◽  
Public Place ◽  
Public Places ◽  
Machine Learning Classification ◽  
Classification Technique ◽  
Points Of Interest ◽  
On Line ◽  
Source Of Information

Social media represent an inexhaustible source of information concerning public places (also called points of interest (POIs)), provided by users. Several social media own and publish huge and independently-built corpora of data about public places which are not linked each other. An aggregated view of information concerning the same public place could be extremely useful, but social media are not immutable sources, thus the off-line approach adopted in all previous research works cannot provide up-to-date information in real time. In this work, we address the problem of on-line aggregating geo-located descriptors of public places provided by social media. The on-line approach makes impossible to adopt machine-learning (classification) techniques, trained on previously gathered data sets. We overcome the problem by adopting an approach based on fuzzy logic: we define a binary fuzzy relation, whose on-line evaluation allows for deciding if two public-place descriptors coming from different social media actually describe the same public place. We tested our technique on three data sets, describing public places in Manchester (UK), Genoa (Italy) and Stuttgart (Germany); the comparison with the off-line classification technique called “random forest” proved that our on-line technique obtains comparable results.

scholarly journals Effect of the Floor Level on the Probability of a Neurologically Favorable Discharge after Cardiac Arrest according to the Event Location

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Han Joo Choi ◽  
Hyung Jun Moon ◽  
Won Jung Jeong ◽  
Gi Woon Kim ◽  
Jae Hyug Woo ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Life Support ◽  
Response Times ◽  
Advanced Life Support ◽  
Public Place ◽  
Public Places ◽  
Floor Level ◽  
High Rise ◽  
Event Location ◽  
At Home

As the number of people living in high-rise buildings increases, so does the incidence of cardiac arrest in these locations. Changes in cardiac arrest location affect the recognition of patients and emergency medical service (EMS) activation and response. This study aimed to compare the EMS response times and probability of a neurologically favorable discharge among patients who suffered an out-of-hospital cardiac arrest (OHCA) event while on a high or low floor at home or in a public place. This retrospective analysis was based on Smart Advanced Life Support registry data from January 2016 to December 2017. We included patients older than 18 years who suffered an OHCA due to medical causes. A high floor was defined as ≥3rd floor above ground. We compared the probability of a neurologically favorable discharge according to floor level and location (home vs. public place) of the OHCA event. Of the 6,335 included OHCA cases, 4,154 (65.6%) events occurred in homes. Rapid call-to-scene times were reported for high-floor events in both homes and public places. A longer call-to-patient time was observed for home events. The probability of a neurologically favorable discharge after a high-floor OHCA was significantly lower than that after a low-floor OHCA if the event occurred in a public place (adjusted odds ratio (aOR), 0.58; 95% confidence intervals (CI), 0.37–0.89) but was higher if the event occurred at home (aOR, 1.40; 95% CI, 0.96–2.03). Both the EMS response times to OHCA events in high-rise buildings and the probability of a neurologically favorable discharge differed between homes and public places. The results suggest that the prognosis of an OHCA patient is more likely to be affected by the building structure and use rather than the floor height.

scholarly journals Depression Detection Using Stacked Autoencoder From Facial Features And NLP

IJOSTHE ◽  
2020 ◽  
pp. 1-7
Author(s):  
Ravi Kumar ◽  
Santosh Kumar Nagar ◽  
Anurag Shrivastava
Keyword(s):  
Language Processing ◽  
Detection System ◽  
Research Work ◽  
Hybrid Approach ◽  
Recognition System ◽  
Mental Illnesses ◽  
Automated System ◽  
Facial Features ◽  
Depression Detection ◽  
Textual Features

Depression has become one of the most common mental illnesses in the past decade, affecting millions of patients and their families. However, the methods of diagnosing depression almost exclusively rely on questionnaire-based interviews and clinical judgments of symptom severity, which are highly dependent on doctors’ experience and makes it a labor-intensive work. This research work aims to develop an objective and convenient method to assist depression detection using facial features as well as textual features. Most of the people conceal their depression from everyone. So, an automated system is required that will pick out them who are dealing with depression. In this research, different research work focused for detecting depression are discussed and a hybrid approach is developed for detecting depression using facial as well as textual features. The main purpose of this research work is to design and propose a hybrid system of combining the effect of three effective models: Natural Language Processing, Stacked Deep Auto Encoder with Random forest (RF) classifier and fuzzy logic based on multi-feature depression detection system. According to literature several fingerprint as well as fingervein recognition system are designed that uses various techniques in order to reduce false detection rate and to enhance the performance of the system. A comparative study of different recognition technique along with their limitations is also summarized and optimum approach is proposed which may enhance the performance of the system. The result analysis shows that the developed technique significantly advantages over existing methods.

scholarly journals PRIVATE AND PUBLIC INTEREST IN THE ‘INTERDICTUM NE QUID IN LOCO PUBLICO FIAT’

2018 ◽  
Vol 17 (4) ◽  
pp. 197-215
Author(s):  
Renata Kamińska
Keyword(s):  
Public Interest ◽  
The Other ◽  
Roman Law ◽  
Public Place ◽  
Public Places ◽  
The Public ◽  
Private And Public ◽  
Potential Damage ◽  
Scope Of Protection ◽  
Private Individual

Roman law accorded a broad scope of protection for public places. Te magistrates responsible for securing it were the curule and plebeian aediles, the censors, and the praetors. Praetors conducted this duty by promulgating interdicts. Ne quid in loco publico fat, which prohibited any activity or installation in a public place which could cause damage, stands out among the other praetorian interdicts. What made it special was that it could be applied both when the potential damage concerned the public interest (utilitas publica), and/or the interest of a private individual (utilitas privata). The damage (damnum) was defned as the loss of a beneft of whatsoever kind the private individual drew from his enjoyment of the public place in question.

scholarly journals Pharmacognostical, Phytochemical Screening, Formulation and Evaluation of Nanophytosomes of Aqueous Extracts of Trigonella foenum graecum., (Fabaceae)

2021 ◽  
Vol 70 (1) ◽  
Author(s):  
Anitha Pramanayakam ◽  
Arjunkumar Panneerselvam
Keyword(s):  
Traditional Approach ◽  
Research Work ◽  
Grape Seed ◽  
Extraction Process ◽  
Particle Size Analysis ◽  
Scientific Data ◽  
Size Analysis ◽  
Phytochemical Analysis ◽  
Biomedical Sciences ◽  
Natural Drugs

Traditional approach is the one of the emerging field of biomedical sciences. In this research work, we have evaluated the traditional approaches of the ancient healer plant T. foenum graecum belonging to fabaceae family. The leaves of T. Foenum graecum was subjected to extraction process, phytochemical analysis, preparation of phytosome and evaluation of its characterization. The scientific data shows that, leave extracts contain flavonoids, alkaloids and glycosides etc., Nanophytosome was prepared by thin layer lipid hydration method. The preparation was evaluated for DSC, FTIR, SEM, TEM and particle size analysis. Recently, Nanophytosome methodology has been fruitfully applied over several well-known natural drugs such as ginseng, green tea hawthorn, olive oil and grape seed etc. Indeed, phytosome are superior to conventional drug delivery systems in terms of the pharmacodynamic and pharmacokinetic properties. This research, we discusses the various aspects, components, methods of preparation of phytosome and their marketed formulations, therapeutic applications along with the recent research work reported on this technology.

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