$I_{\lambda}$-convergence in intuitionistic fuzzy $n$-normed linear space

Nabanita Konwar,Pradip Debnath 원광대학교 기초자연과학연구소 2017 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.13 No.1

The notion of lacunary ideal convergence in intuitionistic fuzzy normed linear space (IFNLS) was introduced by the present corresponding author [P. Debnath, Lacunary ideal convergence in intuitionistic fuzzy normed linear spaces, Comput. Math. Appl., 63 (2012), 708-715] and an open problem in that paper was whether every lacunary $I$-convergent sequence is lacunary $I$-Cauchy. Further, a new concept of convergence of sequences in an intuitionistic fuzzy $n$-normed linear space (IFnNLS) was given in [M. Sen, P. Debnath, Lacunary statistical convergence in intuitionistic fuzzy $n$-normed linear spaces, Math. Comput. Modelling, 54 (2011), 2978-2985]. With the help of this new definition of convergence, the main aim of this paper is to introduce the concept of $I_{\lambda}$-convergence in an IFnNLS, where $I$ is an ideal of a family of subsets of positive integers $\mathbb{N}$. We also define $I_{\lambda}$-limit points and $I_{\lambda}$-cluster points and establish relations between them. Finally we introduce the notion of $I_{\lambda}$-Cauchy sequence in IFnNLS. We improve and extend some existing results and give a positive answer to the open problem mentioned above in the setting of an IFnNLS.

Exploring the behavior of seasonal agricultural migrants in the Rarh region of West Bengal, India

Debnath Manoj 대한공간정보학회 2021 Spatial Information Research Vol.29 No.1

The present paper examines the recent behavioral change of seasonal agricultural migrants in West Bengal. In this context, the present study tries to identify the recent change of destination regions of rural out-migrants in contrast with past migration history. The study is primarily conducted based on information collected from door to door surveys through a structured questionnaire. The logistic regression model has been fitted to analyze the effect of determinant factors on rural male outmigration in the study area. This study identifies how behavior of seasonal agricultural migrants has changed with the ascension of time and space. Shifting routes of seasonal migrants identified with the help of changing migration flow using GIS techniques. The study reveals that due low wage rate in the agricultural sector, rural people are not willing to move toward the past agricultural destination region such as Barddhaman and adjoining areas as agricultural workers. The young males migrate toward new migration destinations areas like western and south India, and the majority of them amalgamated other than agricultural activities. On the contrary, the high wage rate at urban center allures young males is the leading reason behind the recent shifting of migration destination from an agricultural region to industrially developed urban areas. The young male folk moved out of the villages in searching of other than agricultural activities because of being the woeful presence of opportunity in non-agricultural activities in the countryside.

Magnetic Resonance Imaging for Brain Tumor Detection

Debnath Bhattacharyya,Ronnie Caytiles,Yvette Gelogo,Seung-Hwan Jeon,Tai-hoon Kim 한국정보기술학회 2011 Proceedings of KIIT Conference Vol.2011 No.5

Brain tumors are the second most common group of childhood cancers. Treatment requires a very specialized plan involving a team of medical specialists. Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to visualize detailed internal structures such as the brain. In this paper, we propose an image segmentation method to indentify or detect tumor from the brain magnetic resonance imaging (MRI).

A Systematic Implementation of Deepfake Multimedia Video Generation and Detection using Deep Learning

Debnath Bhattacharyya,Eali Stephen Neal Joshua,N.Thirupathi Rao 한국컴퓨터게임학회 2021 한국컴퓨터게임학회논문지 Vol.34 No.2

In the following years, technology has progressed in so many ways that it has provided the cyber society with a resource that only computers can excel at, such as the art of counterfeit of media, which was before unavailable. Deepfakes are a term used to describe this kind of deception. The majority of well-documented Deep Fakes are produced using Generative Adversarial Network (GAN) Models, which are essentially two distinct Machine Learning Models that perform the roles of attack and defence. These models create and identify deepfakes until they reach a point where the morphing no longer detects the deepfakes anymore. Using this algorithm/model, it is possible to discover and create new media that has a similar demographic to the training set, resulting in the development of the ideal Deep Fake media. Because the alterations are carried out utilising advanced characteristics, they cannot be seen with the human eye. However, it is completely feasible to develop an algorithm that can automatically identify this kind of tampering carried out via the internet. This not only enables us to broaden the scope of our search beyond a single media item, but also beyond a large library of mixed media. The more it learns, the better it becomes as artificial intelligence takes over in full force with automation. In order to create better deep fakes, new models are being developed all the time, making it more difficult to distinguish between genuine and morphing material.

Spatial Features Analysis of Automatically Annotated Images

Debnath Bhattacharyya,Tai-hoon Kim 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.11

In this paper, a new method for spatial features based image retrieval is proposed. These are the features specifying location of an image segment in an image and relative spatial location between two image segments etc. Spatial feature adds extra capability of the system in addition to texture, color and shape based object recognition system. Heuristic and semantic features of the image segments are identified from low level color, texture descriptors and directly stored into the image database and easily retrieved also. Position of image segments in the image is detected and stored in the image database that will be accessed for retrieval process later. Object ontology is used to determine the spatial relation between heuristics. These spatial relations and corresponding concept are identified and stored. Spatial rank between two segments will be calculated and stored along with segment ids. Spatial rank is calculated by a new technique. Proper concepts are associated with image segment based on ontology based spatial relation.

Electrochemical Determination of Artemisinin in Artemisia annua L Herbal Tea Preparation and Optimization of Tea Making Approach

Debnath, Chhanda,Dobernig, Andrea,Saha, Pijus,Ortner, Astrid Korean Chemical Society 2011 대한화학회지 Vol.55 No.1

가끔 먼 지역 거주자들은 현대 의약품이나 의학 서비스에 있어서 불충분하거나 접근할 수 없다. 그들은 개똥쑥의 선택된 품종을 경작하고 차 제조의 적절한 방법에 따라 식물로부터 차나 달인즙을 만드는 것에 의해 말라리아에 대항한 치료의 관점에서 이익을 얻을 수 있다. 아르테미시닌에 대한 최대 추출 효율을 위해, 개똥쑥의 차제조의 다른 방법들은 발달된 DPP방법을 적용하여 연구되었고 이 논문에 서술되었다. 차는 시간을 다르게 하여 3가지 다른 방법으로 제조된다(굽기, 섞거나 섞지 않으면서 굽지 않기 그리고 마이크로 웨이브 오븐). 결과로부터, 아르테미시닌의 더 높은 농도(84.7%)는 15분 동안 섞으면서 굽지 않는 차 제조법에 의해 도달될 수 있다는 것을 발견했다(R.S.D. 2.34%). 아르테미시닌의 농도는 마이크로 웨이브 오븐에서 1.5분 이상 구울 때 감소한다. 최대한도의 추출(88.9%)은 증류수에서 5%에탄올과 함께 섞는 추출방법에서 가능했다(R.S.D. 2.28%). Sometimes inhabitants in remote areas have inadequate or no access to modern medicines or medical services. They can get benefit in term of the treatment against malaria by cultivating selected breeding of A. annua and making teas or decoctions from the plant materials following the proper way of tea preparation. In order to have the maximum extraction efficiency for artemisinin, different ways of tea preparations of A. annua were investigated by applying the developed DPP method and described in this article. Tea was prepared by three different ways (cooking, without cooking with/without shaking and microwave oven) with different times. From the results, it has been found that higher concentration of artemisinin (84.7%) can be attained by following the approach for tea preparation without cooking with shaking for 15 minutes (R.S.D. 2.34%). The concentration of artemisinin decreases with cooking more than 1.5 min in microwave oven. The utmost extraction (88.9% of artemisinin) is possible to extract by shaking with boiled 5% ethanol in distilled water (R.S.D. 2.28%).

A Review on Natural Language Processing in Opinion Mining

Debnath Bhattacharyya,Susmita Biswas,Tai-hoon Kim 보안공학연구지원센터 2010 International Journal of Smart Home Vol.4 No.2

Present Scenario and Future Prospects of Phytase in Aquafeed - Review -

Debnath, Dipesh,Sahu, N.P.,Pal, A.K.,Baruah, Kartik,Yengkokpam, Sona,Mukherjee, S.C. Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.12

Aquaculture pollution is a major concern among the entrepreneurs, farmers and researchers. Excess discharge of phosphorus and nitrogen into the water bodies is the principal pollutant responsible for this. Plant-based feed ingredients due to its high phytic acid content enhances both nitrogen and phosphorus discharge thereby increasing the pollution level. Dietary phytase treatment is probably the best answer to address this problem. This review explains the nature and properties of phytate, its interactions with other nutrients and the application of phytase in aquafeed to reduce the pollution. This review also covers the different biotechnological aspects for lowering the phytic acid level in the common aquafeed ingredients, as an alternate approach to controlling the pollution level. Some of future research needs have also been highlighted to attract the attention of more researchers to this area.

Emerging Approach of Natural Language Processing in Opinion Mining: A Review

Debnath Bhattacharyya,Susmita Biswas,Tai-hoon Kim 보안공학연구지원센터 2010 International Journal of Multimedia and Ubiquitous Vol.5 No.2

ALMOST PSEUDO CONTACT STRUCTURE

Debnath, Pratyay,Konar, Arabinda Korean Mathematical Society 2011 대한수학회논문집 Vol.26 No.1

A new kind of structure is introduced in an even dimensional differentiable Riemannian manifold and some basic properties of this structure is discussed. Also the existence of such structure is shown with an example.