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- 저자 : Khanam, Tahmina (검색결과 36 건)
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Khan, A M,Young-Koo Lee,Lee, S Y,Tae-Seong Kim IEEE 2010 IEEE transactions on information technology in bio Vol.14 No.5
<P>Physical-activity recognition via wearable sensors can provide valuable information regarding an individual's degree of functional ability and lifestyle. In this paper, we present an accelerometer sensor-based approach for human-activity recognition. Our proposed recognition method uses a hierarchical scheme. At the lower level, the state to which an activity belongs, i.e., static, transition, or dynamic, is recognized by means of statistical signal features and artificial-neural nets (ANNs). The upper level recognition uses the autoregressive (AR) modeling of the acceleration signals, thus, incorporating the derived AR-coefficients along with the signal-magnitude area and tilt angle to form an augmented-feature vector. The resulting feature vector is further processed by the linear-discriminant analysis and ANNs to recognize a particular human activity. Our proposed activity-recognition method recognizes three states and 15 activities with an average accuracy of 97.9% using only a single triaxial accelerometer attached to the subject's chest.</P>
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Khanam, Farhana,Sheikh, Alaullah,Sayeed, Md. Abu,Bhuiyan, Md. Saruar,Choudhury, Feroza Kaneez,Salma, Umme,Pervin, Shahnaz,Sultana, Tania,Ahmed, Dilruba,Goswami, Doli,Hossain, Md. Lokman,Mamun, K. Z.,C Public Library of Science 2013 PLoS neglected tropical diseases Vol.7 No.7
<▼1><P><B>Background</B></P><P>Rapid and reliable diagnostic assays for enteric (typhoid and paratyphoid) fever are urgently needed. We report the characterization of novel approach utilizing lymphocyte secretions, for diagnosing patients with enteric fever by the TPTest procedure.</P><P><B>Methodology</B></P><P>TPTest detects <I>Salmonella</I>-specific IgA responses in lymphocyte culture supernatant. We utilized TPTest in patients with suspected enteric fever, patients with other illnesses, and healthy controls. We also evaluated simplified modifications of TPTest for adaptation in laboratories with limited facilities and equipment.</P><P><B>Principal Findings</B></P><P>TPTest was positive in 39 (27 typhoid and 12 paratyphoid A) patients confirmed by blood culture and was negative in 74 healthy individuals. Among 32 individuals with other illnesses, 29 were negative by TPTest. Of 204 individuals with suspected enteric fever who were negative by blood culture, 44 were positive by TPTest and the patients were clinically indistinguishable from patients with confirmed bacteremia, except they were more likely to be under 5 years of age. We evaluated simplifications in TPTest, including showing that lymphocytes could be recovered using lysis buffer or buffy coat method as opposed to centrifugation, that incubation of cells at 37°C did not require supplemental CO<SUB>2</SUB>, and that results were available for majority of samples within 24 hours. Positive results by TPTest are transient and revert to negative during convalescence, supporting use of the test in endemic areas. The results can also be read using immunodot blot approach as opposed to ELISA. Since no true gold standard currently exists, we used a number of definitions of true positives and negatives. TPTest had sensitivity of 100% compared to blood culture, and specificity that ranged from 78–97% (73–100, 95% CI), depending on definition of true negative.</P><P><B>Conclusion</B></P><P>The TPTest is useful for identification of patients with enteric fever in an endemic area, and additional development of simplified TPTest is warranted.</P></▼1><▼2><P><B>Author Summary</B></P><P><I>Salmonella enterica</I> serotype Typhi and Paratyphi A are responsible for typhoid and paratyphoid fever respectively and the disease caused is known generally as enteric fever. Appropriate and early diagnosis of the disease is important for initiation of treatment of the patient with a suitable antibiotic. The performance of the available diagnostic methods take time and as well as have low sensitivity and specificity. We describe here an immunodiagnostic assay, the TPTest, which is based on the use of secretions of antibodies from peripheral blood lymphocytes. We describe simplifications of the procedure and show that the assay has as a sensitivity of 100% with a specificity that ranges from 78–97% (73–100, 95% CI) for detecting patients with typhoid and paratyphoid fever in an enteric fever endemic zone. The TPTest uses a small blood volume, and reverts to negative by convalescence, supporting its further development as a relatively low cost assay to diagnose patients with enteric fever in endemic zones.</P></▼2>
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Baggage Recognition in Occluded Environment using Boosting Technique
( Tahmina Khanam ),( Kaushik Deb ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11
Automatic Video Surveillance System (AVSS) has become important to computer vision researchers as crime has increased in the twenty-first century. As a new branch of AVSS, baggage detection has a wide area of security applications. Some of them are, detecting baggage in baggage restricted super shop, detecting unclaimed baggage in public space etc. However, in this paper, a detection & classification framework of baggage is proposed. Initially, background subtraction is performed instead of sliding window approach to speed up the system and HSI model is used to deal with different illumination conditions. Then, a model is introduced to overcome shadow effect. Then, occlusion of objects is detected using proposed mirroring algorithm to track individual objects. Extraction of rotational signal descriptor (SP-RSD-HOG) with support plane from Region of Interest (ROI) add rotation invariance nature in HOG. Finally, dynamic human body parameter setting approach enables the system to detect & classify single or multiple pieces of carried baggage even if some portions of human are absent. In baggage detection, a strong classifier is generated by boosting similarity measure based multi layer Support Vector Machine (SVM)s into HOG based SVM. This boosting technique has been used to deal with various texture patterns of baggage. Experimental results have discovered the system satisfactorily accurate and faster comparative to other alternatives.
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Sajyia Khanam 한국예이츠학회 2023 한국예이츠 저널 Vol.72 No.-
Memory and nostalgia are potent elements in the portrayal of poetic narratives, evoking hidden emotions and inner turmoil. This study delves into the works of renowned poet Agha Shahid Ali and Nobel laureate Louise Glück, both of whom explore themes of personal loss, death, cultural displacement, and the profound impact of memory and nostalgia in their respective poetry collections, The Country Without a Post Office (1997) and Ararat (1990). By analyzing and comparing their poetic genius, this paper seeks to unearth the distinctive ways in which these two remarkable poets deal with the trauma of loss of homeland, deaths and repressed desires. At a deeper level this study charts out how Ali and Glück create a macrocosmic world of their cherished memories to fight the traumatic experiences through nostalgia. However, through this exploration, we gain a deeper understanding of the enduring power of these themes in shaping the human experience and the art of poetry
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An Interview with American Poet- Novelist Joseph Fasano
Sajyia Khanam 한국예이츠학회 2023 한국예이츠 저널 Vol.72 No.-
Joseph Fasano is a multifaceted figure with a substantial academic and creative portfolio. He embarked on his academic journey at Harvard University, initially pursuing mathematics and astrophysics before shifting his academic trajectory towards philosophy, particularly focusing on Wittgenstein’s philosophy of language. Subsequently, he undertook graduate studies in poetry at Columbia University, working alongside influential mentors such as Mark Strand, Lucie Brock-Broido, and Richard Howard. In this interview, Joseph Fasano discusses the engagement of poetic capabilities and his personal perspective on his poetry. Notably, Fasano demonstrates an open-minded stance toward the divergent interpretations that readers may attribute to his poems. Furthermore, he shares insights into his personal and professional evolution as a writer, characterizing this journey as “way of surviving.” A central motif underlying his creative endeavors in poetry and fiction is the necessity to connect “the personal to the historical.”
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A.J. Khanam,M.S. Sheikh,I.A. Khan,Kabir-ud-Din 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
The purpose of the present study was to determine the influence of various additives on the aggregation behavior of gemini surfactants and to search for means which reduce the values of critical micelle concentration. The mixed micellar properties of cationic hydrotropes (aniline hydrochloride, paratoluidine hydrochloride, ortho-toluidine hydrochloride), anionic hydrotropes (sodium salicylate, sodium benzoate, sodium tosylate) and nonionic hydrotropes (phenol, resorcinol, pyrogallol) with conventional alkyl tetradecylammonium bromide (TTAB) and their dimeric homologues viz., 14-s-14, (s = 4, 5, 6) in aqueous medium have been studied using conductometric technique at four different temperatures ranging from 298.15 K to 313.15 K. The evaluated thermodynamic parameters have been discussed in detail.
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TENSILE, FLEXURAL PROPERTIES OF WOVEN JUTE/GLASS AND JUTE/SILK HYBRID COMPOSITES
P. Noorunnisa Khanam,Chi Hoon Jeon,Pham Thanh Nhut,Young Jin Yum 대한기계학회 2011 대한기계학회 춘추학술대회 Vol.2011 No.10
Unsaturated polyester based woven jute/glass and woven jute/silk fibre hybrid composites were prepared by hand layup method. Mechanical properties like tensile and flexural properties were studied for these hybrid composites. Tensile and flexural properties were also studied for woven jute, woven silk fibre composites and also for matrix. The results of jute/glass and jute/silk composites were compared with the results of jute/silk hybrid composites. From the results, it was observed that jute/glass hybrid composites showed better properties than jute/silk fibre reinforced hybrid composites. It was also observed that jute fibre properties were improved by adding glass and silk fibre in hybrid composites. Mechanical tests were carried out by using ASTM methods.
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A comparison of machine learning algorithms for diabetes prediction
Jobeda Jamal Khanam,Simon Y. Foo 한국통신학회 2021 ICT Express Vol.7 No.4
Diabetes is a disease that has no permanent cure; hence early detection is required. Data mining, machine learning (ML) algorithms, and Neural Network (NN) methods are used in diabetes prediction in our research. We used the Pima Indian Diabetes (PID) dataset for our research, collected from the UCI Machine Learning Repository. The dataset contains information about 768 patients and their corresponding nine unique attributes. We used seven ML algorithms on the dataset to predict diabetes. We found that the model with Logistic Regression (LR) and Support Vector Machine (SVM) works well on diabetes prediction. We built the NN model with a different hidden layer with various epochs and observed the NN with two hidden layers provided 88.6% accuracy.
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