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Primate Model for the Evaluation of Vaginal Contraceptives
Zoneveld, L.J.D.,Bhattacharyya, A.K.,Kim, D-S,Schumacher, G.F.B.,Beluhan, Z. The Korean Society for Reproductive Medicine 1979 Clinical and Experimental Reproductive Medicine Vol.6 No.1
A good animal model that simulates the human subject has not been available for the evaluation of the in vivo effectiveness of vaginal contraceptives. After careful consideration, The stumptailed macaque (Macaca arctoides) was studied for its applicability since it has a reproductive tract similar to that of the woman, is easy to handle, does not require tranquilization or anesthesia when the contraceptive is deposited, and breeds and conceives readily under caged conditions. The reported observations show the usefulness of this animal. Both postcoital sperm motility studies and breeding experiments were performed with the use of Delfen vaginal cream and K-Y jelly. K-Y jelly had no effect on the motility of vaginal spermatozoa or on the conception rate of the primates. Although Delfen vaginal cream consistently immobilized all spermatozoa in the postcoital test, half of the animals became pregnant within an average of 3.7 breeding cycles. These results illustrate the discrepancy between spermicidal tests and fertility measurements, and it is recommended that primate-breeding experiments be performed before a spermicide is evaluated in women as a contraceptive. (AM J. OBSTET. GYNECOL, 129:368, 1977.)
Shear behaviour of RC T-beams strengthenedwith U-wrapped GFRP sheet
K.C.Panda,S. K. Bhattacharyya,S. V. Barai 국제구조공학회 2012 Steel and Composite Structures, An International J Vol.12 No.2
This paper presents an experimental investigation on the performance of 2.5 m long reinforced concrete (RC) T-beams strengthened in shear using epoxy bonded glass fibre fabric. Eighteen (18) full scale, simply supported RC T-beams are tested. Nine beams are used as control beam specimens with three different stirrups spacing without glass fibre reinforced polymer (GFRP) sheet and rest nine beams are strengthened in shear with one, two, and three layers of GFRP sheet in the form of U-jacket around the web of T-beams for each type of stirrup spacing. The objective of this study is to evaluate the effectiveness, the cracking pattern and modes of failure of the GFRP strengthened RC T-beams. The test result indicates that for RC T-beams strengthened in shear with U-jacketed GFRP sheets, increase the load carrying capacity by 10-46%.
Damage detection of multi-storeyed shear structure using sparse and noisy modal data
S.K. Panigrahi,S. Chakraverty,S.K. Bhattacharyya 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.5
In the present paper, a method for identifying damage in a multi storeyed shear building structure is presented using minimum number of modal parameters of the structure. A damage at any level of the structure may lead to a major failure if the damage is not attended at appropriate time. Hence an early detection of damage is essential. The proposed identification methodology requires experimentally determined sparse modal data of any particular mode as input to detect the location and extent of damage in the structure. Here, the first natural frequency and corresponding partial mode shape values are used as input to the model and results are compared by changing the sensor placement locations at different floors to conclude the best location of sensors for accurate damage identification. Initially experimental data are simulated numerically by solving eigen value problem of the damaged structure with inclusion of random noise on the vibration characteristics. Reliability of the procedure has been demonstrated through a few examples of multi storeyed shear structure with different damage scenarios and various noise levels. Validation of the methodology has also been done using dynamic data obtained through experiment conducted on a laboratory scale steel structure.
Shear strengthening effect by bonded GFRP strips and transverse steel on RC T-beams
K.C. Panda,S.K. Bhattacharyya,S.V. Barai 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.1
This study focuses on shear strengthening performance of simply supported reinforced concrete (RC) T-beams bonded by glass fibre reinforced polymer (GFRP) strips in different configuration, orientations and transverse steel reinforcement in different spacing. Eighteen RC T-beams of 2.5 m span are tested. Nine beams are used as control beam. The stirrups are provided in three different spacing such as without stirrups and with stirrups at a spacing of 200 mm and 300 mm. Another nine beams are used as strengthened beams. GFRP strips are bonded in shear zone in U-shape and side shape with two types of orientation of the strip at 45° and 90° to the longitudinal axis of the beam for each type of stirrup spacing. The experimental result indicates that the beam strengthened with GFRP strips at 45° orientation to the longitudinal axis of the beam are much more effective than 90° orientation. Also as transverse steel increases,the effectiveness of the GFRP strips decreases.
Shear strengthening effect by bonded GFRP strips and transverse steel on RC T-beams
Panda, K.C.,Bhattacharyya, S.K.,Barai, S.V. Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.1
This study focuses on shear strengthening performance of simply supported reinforced concrete (RC) T-beams bonded by glass fibre reinforced polymer (GFRP) strips in different configuration, orientations and transverse steel reinforcement in different spacing. Eighteen RC T-beams of 2.5 m span are tested. Nine beams are used as control beam. The stirrups are provided in three different spacing such as without stirrups and with stirrups at a spacing of 200 mm and 300 mm. Another nine beams are used as strengthened beams. GFRP strips are bonded in shear zone in U-shape and side shape with two types of orientation of the strip at $45^{\circ}$ and $90^{\circ}$ to the longitudinal axis of the beam for each type of stirrup spacing. The experimental result indicates that the beam strengthened with GFRP strips at $45^{\circ}$ orientation to the longitudinal axis of the beam are much more effective than $90^{\circ}$ orientation. Also as transverse steel increases, the effectiveness of the GFRP strips decreases.
Kim, M.K.,Lim, Y.J.,Bhattacharyya, S.S.,Lee, M.H.,Lee, S.H. Elsevier 2011 Current Applied Physics Vol.11 No.5
We have investigated motion of fullerene particles in isotropic and anisotropic dielectric medium for the purpose of application of the particles in electronic paper-like display. The charged particles require higher DC electric field to react in the isotropic silicone oil medium in comparison with anisotropic liquid crystal medium, confirming that the dielectrophoretic force is mainly responsible for the motion of the particles. In addition, we proposed device which can express black, gray and white states with three terminal electrodes by suitable combination of the polarity of applied DC bias field. Finally, our investigation provides the optimization of driving scheme as well as electrode structure.
Review on the Usage of Deep Learning Models in Multi-modal Sentiment Analysis
Naga Durga Saile K,Venkatramaphanikumar S,Venkata Krishna Kishore K,Debnath Bhattacharyya 대한전자공학회 2020 IEIE Transactions on Smart Processing & Computing Vol.9 No.6
In recent years, Sentiment Analysis is reshaping the business operations of many organizations by monitoring their brand reputation on social media and acquiring insights from customer"s feedback. Sentiment Analysis is one of the classification tools that identifies and extracts the subjective information of a product. This subjective information can be stated in different ways, such as feedback, discussions, blogs, podcasts, and video logs. This type of information generated by the empowered customers is known as user-generated content, which is traditionally in the form of words. The analysis was performed on a huge number of words using Natural Language Processing (NLP), which is a Unimodal Sentiment Analysis. With the rapid growth in the usage of the Internet, social media turned out to be a platform to share the thoughts of the individuals. This caused researchers to migrate from the traditional Unimodal analysis to Multimodal Sentiment Analysis, which includes video, audio, and images. This approach leverages the use of emotion and content and helps identify the scope and polarity of an individual’s sentiment. With the latest deep learning algorithms, Multimodal Sentiment Analysis can solve the problem of sarcasm identification. Multi-Modal Sentiment Analysis generates more accurate results compared to Uni Modal Sentiment Analysis. Therefore, this study aimed to define Sentiment Analysis and review the approaches and techniques in Sentiment Analysis from conventional Unimodal to Multimodal. In addition, this paper discusses a Multimodal Sentiment Analysis architecture using a transformers attention net.
An efficient finite element analysis model for thermal plate forming in shipbuilding
S.L. Arun Kumar,R. Sharma,S.K. Bhattacharyya Techno-Press 2023 Ocean systems engineering Vol.13 No.4
Herein, we present the design and development of an efficient finite element analysis model for thermal plate forming in shipbuilding. Double curvature shells in the ship building industries are primarily formed through the thermal forming technique. Thermal forming involves heating of steel plates using heat sources like oxy-acetylene gas torch, laser, and induction heating, etc. The differential expansion and contraction across the plate thickness cause plastic deformation and bending of plates. Thermal forming is a complex forming technique as the plastic deformation and bending depends on many factors such as peak temperature, heating and cooling rate, depth of heated zone and many other secondary factors. In this work, we develop an efficient finite element analysis model for the thermo-mechanical analysis of thermal forming. Different simulations are reported to study the effect of various parameters affecting the process. Temperature dependent properties are used in the analysis and the finite element analysis model is used to identify the critical flame velocity to avoid recrystallization of plate material. A spring connected plate is modeled for structural analysis using spring elements and that helps in identifying the resultant shapes of various thermal forming patterns. Finally, detailed simulation results are reported to establish the efficacy, applicability and efficiency of the designed and developed finite element analysis model.