scholarly journals A Review on Depression Detection Among Adolescent by Face

2020 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
Ravi Kumar ◽  
Santosh Kumar Nagar ◽  
Anurag Shrivastava
Keyword(s):  
Convenient Method ◽  
Symptom Severity ◽  
Research Work ◽  
Mental Illnesses ◽  
Automated System ◽  
Facial Features ◽  
Clinical Judgments ◽  
The Past ◽  
Depression Detection ◽  
Intensive Work

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. Our study aims to develop an objective and convenient method to assist depression detection using facial features in adolescent. Most of the adolescent are totally unaware that they may be having depression. If at all they are aware of it, some adolescents conceal their depression from everyone. So, an automated system is required that will pick out the adolescents who are dealing with depression. In this paper, different research work focused for detecting depression are discussed.

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 A computer vision based image processing system for depression detection among students for counseling

2019 ◽  
Vol 14 (1) ◽  
pp. 503 ◽  
Author(s):  
Sandhya Parameswaran Namboodiri ◽  
Venkataraman D
Keyword(s):  
College Students ◽  
Image Processing ◽  
Mental State ◽  
Automated System ◽  
Facial Features ◽  
Present System ◽  
College Level ◽  
Face Features ◽  
Depression Detection ◽  
Facial Images

Psychological problems in college students like depression, pessimism, eccentricity, anxiety etc. are caused principally due to the neglect of continuous monitoring of students’ psychological well-being. Identification of depression at college level is desirable so that it can be controlled by giving better counseling at the starting stage itself. The disturbed mental state of a student suffering from depression would be clearly evident in the student’s facial expressions.Identification of depression in large group of college students becomes a tedious task for an individual. But advances in the Image-Processing field have led to the development of effective systems, which prove capable of detecting emotions from facial images, in a much simpler way. Thus, we need an automated system that captures facial images of students and analyze them, for effective detection of depression. In the proposed system, an attempt is being made to make use of the Image processing techniques, to study the frontal face features of college students and predict depression. This automated system will be trained with facial features of positive and negative facial emotions. To predict depression, a video of the student is captured, from which the face of the student is extracted. Then using Gabor filters, the facial features are extracted. Classification of these facial features is done using SVM classifier. The level of depression is identified by calculating the amount of negative emotions present in the entire video. Based on the level of depression, notification is send to the class advisor, department counselor or university counselor, indicating the student’s disturbed mental state. The present system works with an accuracy of 64.38%. The paper concludes with the description of an extended architecture for depression detection as future work.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

Interrogating the Constitutionality of Federal Character Principle in Nigeria

2018 ◽  
Vol 9 (07) ◽  
pp. 20492-20498
Author(s):  
Aborisade Olasunkanmi ◽  
Christopher Agulanna
Keyword(s):  
Ethnic Groups ◽  
Research Work ◽  
National Unity ◽  
The Past ◽  
The North ◽  
Inhibiting Factors

This work interrogates federal character principle (FCP) in Nigeria. The FCP was designed to fundamentally address the striking features of Nigeria politics of intense struggles for power among the different ethnic groups in the country between the elites from the North and their Southern counterparts and the various segments, but the practice of FCP in Nigeria so far raises curiosity and doubts. Given the outcome of the interrogation, this research work discovered and conclude that federal character has not indeed achieve its objective in the Nigeria, the study finds that Ethnocentrism, Elitism, Mediocrity, Mutual suspicion amongst others accounts for some inhibiting factors of the FCP in Nigeria. Like many other provisions of the Constitution, the Federal Character principle was meant to correct some imbalances experienced in the past, but it has created more problems than it has attempted to solve. Rather than promote national unity, it has disunited Nigerians. There is an urgent need to use more of professionals and result oriented Nigerians to carry out national tasks, than to use unprogressive people due to this "Federal character" issue. Nigeria should be a place where one's track records and qualifications are far greater than just "where they come from" or their lineage if Nigerian truly want to progress.

scholarly journals Clinician-Reported Patient Awareness of Symptoms and Severity of Tardive Dyskinesia in Patients Prescribed VMAT2 Inhibitors

CNS Spectrums ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 151-151
Author(s):  
Jonathan M. Meyer ◽  
Ericha Franey ◽  
Leslie Lundt ◽  
Betsy Benning ◽  
Edward Goldberg ◽  
...  
Keyword(s):  
Tardive Dyskinesia ◽  
Symptom Severity ◽  
Primary Care Physicians ◽  
Additional Data ◽  
Treatment Strategies ◽  
Vesicular Monoamine Transporter ◽  
Patient Awareness ◽  
Patient Demographics ◽  
The Past ◽  
Body Regions

AbstractObjectiveVesicular monoamine transporter 2 (VMAT2) inhibitors including valbenazine are first-line therapies for tardive dyskinesia (TD), a persistent movement disorder associated with antipsychotic exposure. This real-world study was performed to assess the association between patient awareness of TD symptoms and clinician-assessed symptom severity.MethodsClinicians who treated antipsychotic-induced TD with a VMAT2 inhibitor within the past 24 months were asked to extract demographic/clinical data from patients charts and complete a survey for additional data, including patient awareness of TD (yes/no) and TD symptom severity (mild/moderate/severe).ResultsData for 601 patients were provided by 163 clinicians (113 psychiatrists; 46 neurologists; 4 primary care physicians). Patient demographics: 50% male; mean age 50.6 years; 55% schizophrenia/schizoaffective disorder; 29% bipolar disorder; 16% other psychiatric diagnoses. Positive relationships were seen between patient awareness and clinician-assessed symptom severity. Awareness was highest in patients with severe symptoms in specific body regions: face (88% vs 78%/69% [awareness by severe vs moderate/mild symptoms]); jaw (90% vs 80%/67%); wrists (90% vs 69%/63%). In other regions, awareness was similar in patients with severe or moderate symptoms: lips (85%/86% vs 68% [severe/moderate vs mild]); tongue (81%/80% vs 73%); neck (80%/78% vs 68%); arms (67%/66% vs 62%); knees (67%/67% vs 53%).ConclusionsIn patients prescribed a VMAT2 inhibitor for TD, patient awareness was generally higher in those determined to have moderate-to-severe symptom severity as assessed by the clinician. More research is needed to understand how awareness and severity contribute to TD burden, and whether different treatment strategies are needed based on these factors.FundingNeurocrine Biosciences, Inc.

Effective splicing localization based on noise level inconsistencies

2021 ◽  
pp. 1-11
Author(s):  
P. N. R. L. Chandra Sekhar Author ◽  
T. N. Shankar Author
Keyword(s):  
Digital Technology ◽  
Social Networking Sites ◽  
Noise Level ◽  
Research Work ◽  
Multimedia Content ◽  
Noise Levels ◽  
Multimedia Forensics ◽  
The Past ◽  
Photo Editing ◽  
State Of Art

In the era of digital technology, it becomes easy to share photographs and videos using smartphones and social networking sites to their loved ones. On the other hand, many photo editing tools evolved to make it effortless to alter multimedia content. It makes people accustomed to modifying their photographs or videos either for fun or extracting attention from others. This altering brings a questionable validity and integrity to the kind of multimedia content shared over the internet when used as evidence in Journalism and Court of Law. In multimedia forensics, intense research work is underway over the past two decades to bring trustworthiness to the multimedia content. This paper proposes an efficient way of identifying the manipulated region based on Noise Level inconsistencies of spliced mage. The spliced image segmented into irregular objects and extracts the noise features in both pixel and residual domains. The manipulated region is then exposed based on the cosine similarity of noise levels among pairs of individual objects. The experimental results reveal the effectiveness of the proposed method over other state-of-art methods.

scholarly journals Current challenges in modelling vibrational fatigue and fracture of structures: a review

2021 ◽  
Vol 43 (2) ◽  
Author(s):  
Khangamlung Kamei ◽  
Muhammad A. Khan
Keyword(s):  
Fatigue Damage ◽  
Thermal Environment ◽  
Research Work ◽  
Working Life ◽  
Stochastic Response ◽  
Metal Structures ◽  
Life Estimation ◽  
The Past ◽  
New Directions ◽  
Fatigue And Fracture

AbstractFatigue damage is a concern in the engineering applications particularly for metal structures. The design phase of a structure considers factors that can prevent or delay the fatigue and fracture failures and increase its working life. This paper compiled some of the past efforts to share the modelling challenges. It provides an overview on the existing research complexities in the area of fatigue and fracture modelling. This paper reviews the previous research work under five prominent challenges: assessing fatigue damage accurately under the vibration-based loads, complications in fatigue and fracture life estimation, intricacy in fatigue crack propagation, quantification of cracks and stochastic response of structure under thermal environment. In the conclusion, the authors have suggested new directions of work that still require comprehensive research efforts to bridge the existing gap in the current academic domain due to the highlighted challenges.

scholarly journals Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 52
Author(s):  
Thomas Lee ◽  
Susan Mckeever ◽  
Jane Courtney
Keyword(s):  
Deep Learning ◽  
Research Work ◽  
Learning Approaches ◽  
Clear Definition ◽  
Top Down ◽  
Research Activity ◽  
Comprehensive Overview ◽  
The Past ◽  
Computer Vision Applications ◽  
Definition Of

With the rise of Deep Learning approaches in computer vision applications, significant strides have been made towards vehicular autonomy. Research activity in autonomous drone navigation has increased rapidly in the past five years, and drones are moving fast towards the ultimate goal of near-complete autonomy. However, while much work in the area focuses on specific tasks in drone navigation, the contribution to the overall goal of autonomy is often not assessed, and a comprehensive overview is needed. In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the Society of Automotive Engineers, to specific drone tasks in order to create a clear definition of autonomy when applied to drones. A top–down examination of research work in the area is conducted, focusing on drone navigation tasks, in order to understand the extent of research activity in each area. Autonomy levels are cross-checked against the drone navigation tasks addressed in each work to provide a framework for understanding the trajectory of current research. This work serves as a guide to research in drone autonomy with a particular focus on Deep Learning-based solutions, indicating key works and areas of opportunity for development of this area in the future.

Modeling the Behavior of Crystallizable Shape Memory Polymers Subject to Inhomogeneous Deformations

2010 ◽  
Author(s):  
Mahesh Khanolkar ◽  
Jaskirat Sodhi ◽  
I. Joga Rao
Keyword(s):  
Constitutive Model ◽  
Shape Memory ◽  
Research Work ◽  
Shape Memory Polymers ◽  
Inhomogeneous Deformation ◽  
The Past ◽  
Constant Shear ◽  
Multiple Natural Configurations ◽  
Constant Moment

The constitutive model for the mechanics of crystallizable shape memory polymers (CSMP) has been developed in the past [1, 2]. The model was developed using the theory of multiple natural configurations and has been successful in addressing a diverse class of problems. In this research work, the efficacy of the developed CSMP model is tested by applying it to the torsion of a cylinder, which is an inhomogeneous deformation. The crystallization of the cylinder is studied under two different conditions i.e. crystallization under constant shear and crystallization under constant moment.

Archaeology at the University of Ghana, Legon

1968 ◽  
Vol 11 (03) ◽  
pp. 314-315
Author(s):  
Merrick Posnansky
Keyword(s):  
Iron Age ◽  
Research Work ◽  
Guinea Coast ◽  
The Past ◽  
Volta Basin ◽  
Senior Research ◽  
Extensive Program ◽  
The University ◽  
University Of Ghana ◽  
Source Of Information

In October 1968, the University of Ghana commenced an extensive program in African archaeology. Graduate students from overseas are eligible to enroll for courses at the University, though no scholarships are presently available for non-Ghanaians. The Department of Archaeology of the University of Ghana was established in 1951 under the professorship of A. W. Lawrence. It presently has a senior teaching establishment of four together with a curator and two senior research fellows under the chairmanship of Professor Merrick Posnansky. The Department has a small specialist library, a museum, laboratory, dark room, workshops, and a team of trained technical staff. Most of the Department's research work is normally conducted in the dry season from November to May each year. In the past Professor Oliver Davies, author of the Quaternary of the Guinea Coast (1964) and West Africa before the Europeans (1967), conducted extensive fieldwork relating to the Stone Age and neolithic periods of Ghana's past and made large surface collections from all parts of Ghana which provide a rich topographical source of information on archaeology in Ghana. The Department has conducted extensive excavations in Ghana and its research fellows are presently engaged in writing up the results of the Volta Basin Research Project, in which more than thirty sites have been excavated since 1963 in advance of the formation of a large lake consequent upon the construction of the Volta Dam. The majority of the excavated sites have been of Iron Age date. In September 1968, Mr. C. Flight commenced a new season of excavations at “Neolithic” rock shelter sites at Kintampo, where occupations and burials dated to the middle of the second millennium B.C. were uncovered in 1967. Other excavations conducted during 1968 included work by Mr. D. Calvocoressi at the funerary terracotta site of Ahinsan and by Mr. Duncan Mathewson at the seventeenth-century A.D. Gonja site of Jakpasere. In 1969 a training excavation will be conducted at Elmina on the sixteenth- to eighteenth-century A.D. town in the vicinity of the Portuguese castle.

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