Informatics Publishing Limited

S. Janani ¹, K. Iyswarya ¹, L. Maria Michael Visuwasam ¹

Affiliations
1 Velammal Institute of Technology, Chennai, Tamilnadu, IN

Abstract

This paper surveys the various aspects of automatic emotion recognition in music. Music is oftentimes referred to as a “language of emotion” [1], and it is natural for us to categorize music in terms of its emotional associations. Myriad features, such as harmony, timbre, interpretation, and lyrics affect emotion, and the mood of a piece may also change over its duration. When compared to other music information retrieval tasks (e.g., genre identification), the identification of musical mood is still in its early stages, though it has received increasing attention in recent years. In this paper we explore a wide range of research in music emotion recognition, particularly focusing on methods that use contextual text information (e.g., websites, tags, and lyrics) and content-based approaches, as well as systems combining multiple feature domains.

Keywords

Music, Emotion Detection, Feature Analysis, SVM, GMM, MFCC.

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Arunlal Nadar ¹, S. Janani ¹

Affiliations
1 Department of Computer Science and Engineering, Shree Sastha Institute of Engineering and Technology, Chennai, IN

Abstract

Public key cryptography is widely used for the purpose of confidential key exchange and authentication. Wireless sensor networks (WSN) however are a class of devices with very low computation power and cannot use public key cryptography feasibly. We provide a scheme which updates messages to the nodes as well as secure them using only symmetric cryptography and cryptographic hash functions. The scheme is low on computation; power and bandwidth requirements compared to public key based cryptographic primitives and as such can be used feasibly in any WSN. We implement this scheme in Deluge, a popular network programming protocol. In addition we simulate our scheme in TOSSIM and provide a performance evaluation of our scheme based on power consumption and end to end latency.

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S. Janani ¹

Affiliations
1 Department of Electronics and Instrumentation Engineering, KSR College of Technology, IN

Abstract

Chromosome analysis is an essential task for detecting genetic abnormality, damage due to environmental factors such as X-ray, or diagnosis of cancer. One of the standard tool used for analysis is karyotyping, a process of classification and visualization of chromosomes. A karyotype is required to assign each chromosome to one of 24 classes. Automatic pairing of chromosomes is a difficult task because these chromosomes appear distorted, overlapped, and their images are usually blurred with undefined edges and low level of detail. A new metric method is proposed in this work towards the design of an automatic pairing algorithm for diagnostic purposes. The G-banding technique is routinely used for generating characteristic banding patterns for chromosome identification and karyotyping. Besides the features used in the traditional, mutual information is proposed to increase the discriminate power of the G-banding pattern dissimilarity between chromosomes and improve the performance of the classifier. Chromosome banding patterns are very important features for karyotyping, based on which cytogenetic diagnosis procedures are conducted. Banding pattern is utilized as vital discrimination criterion for human chromosome classification. Dimensional feature like area and perimeter is used to classify chromosome into standard seven groups. Appropriate feature selection and classifier training substantially improve classification performance.

Keywords

Chromosome, Karyotyping, G-Band Chromosome Image, Features, Band Profile, Mutual Information (MI), Classification.

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D. Sivakumar ¹, B. Chandralekha ², S. Janani ²

Affiliations
1 Department of Civil Engineering, is with Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, IN
2 Department of Civil Engineering, are with the Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, Tamil Nadu, IN

Abstract

The effectiveness of tamarind kernel powder, a cheap agro-based product, as a coagulant was evaluated to remove COD and TDS present in a dairy industry wastewater. Experiments were carried out by adding tamarind kernel powder to the dairy industry wastewater at different dosages, different rapid mixing contact time and slow mixing contact time. Maximum removal of 87.8 % and 91.5 % respectively for COD and TDS was obtained at an optimum dosage of 70 mg/l, 82.8 % and 87.7 % respectively for COD and TDS was obtained at an optimum rapid mixing contact time of 10 min. and 84.6 % and 89.4 % respectively for COD and TDS was obtained at an optimum slow mixing contact time of 30 min. Similarly, the maximum removal percentage obtained at an optimum tamarind kernel powder dosage, rapid mixing contact time and slow mixing contact time for COD and TDS in a dairy industry effluent by tamarind kernel powder is about 89.7 % and 92.3 % respectively. The results indicated that the use of tamarind kernel powder to remove COD and TDS present in a dairy industry wastewater seems to be an economical and worthwhile alternative over conventional methods.

Keywords

Dairy Industry Wastewater, Process Parameters, Tamarind Kernel Seed Powder, Wastewater Properties.

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N. Bhavna ¹, Janani Prasad ¹, S. Janani ¹

Affiliations
1 Department of Instrumentation, Sri Sairam Engineering College, Tamil Nadu, IN

Abstract

Our project aims at building Home Automation system based on the availability of smart home network for devices to communicate. In this system we will monitor the energy consumption of appliances such as fan and light between two buildings and a comparison is performed between these two wherein the output is displayed using Laboratory Virtual Instrumentation Engineer‟s Workbench (LabVIEW) software. The occupancy level is checked using IR sensor and the devices are automatically switched off in the absence of any human presence. The Energy consumption of each device can be measured using Energy Measurement module. In case of high consumption of energy by devices, they will be controlled using specific circuits. Hence the energy conservation is accomplished by efficient use of energy and reducing the wastage of electricity.

Keywords

Home Automation, Energy Conservation, IR Sensor, Energy Measurement Module, LabVIEW.

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S. Janani ¹, P. Shanmugasundaram ¹

Affiliations
1 School of Pharmaceutical Sciences, Vels University (VISTAS), Velan Nagar, P.V. Vaithiyalingam Road, Pallavaram, Chennai- 600 117, Tamil Nadu, IN

Abstract

Epilepsy is one of the neurological disorder characterised by a period of epileptic seizures. The findings reveal that type 1 diabetes may increase epilepsy risk three fold. About 25% to 45% of epilepsy cases can be due to structural modifications, metabolic disorders, and genetic characters but early research has also claimed that diabetes might explain some idiopathic seizures, Dr Chou and their colleagues wrote. Those people with type 1 diabetes but without hypoglycaemia found to have a 2.67 fold increased risk of developing epilepsy during medication vs. the other group, whereas those with both type 1 diabetes and hypoglycaemia might have about 16.5 fold increased risk of developing epilepsy.

Keywords

Epilepsy, Seizure, Diabetes.

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R. Kanagaraj ¹, D. Pavithra ¹, S. Janani ¹

Affiliations
1 Department of IT & CT, VLB Janakiammal College of Arts and Science, Coimbatore, IN

Abstract

Advances in Wireless Sensor Communication Network (WSCN) technology has provided the availability of small and low-cost sensor nodes with capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. Variety of sensing capabilities results in profusion of application areas. However, the characteristics of wireless sensor networks require more effective methods for data forwarding and processing. In WSCN, the sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are also limited. Routing protocols for wireless sensor networks are responsible for maintaining the routes in the network and have to ensure reliable multi-hop communication under these conditions. In this paper, we give a survey of Qos Based routing protocols for Wireless Sensor Network and compare their strengths and limitations.

Keywords

WSCNs.

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E. Vinesh ¹, S. Janani ², M. Sathish Kumar ³, N. Aravindha Babu ⁴, E. Rajesh ⁵

Affiliations
1 Reader, Karpaga Vinayaga Institute of Dental Sciences, Chennai, IN
2 Senior Lecturer, Karpaga Vinayaga Institute of Dental Sciences, Chennai, IN
3 Professor and Head of the Dept, Karpaga Vinayaga Institute of Dental Sciences, Chennai, IN
4 Professor, Sree Balaji Dental College and Hospital, Bharat Institute of Higher Education (BIHER), Chennai, IN
5 Reader, Sree Balaji Dental College and Hospital, Bharat Institute of Higher Education (BIHER), Chennai, IN

Abstract

Hidradenoma refers to a benign adnexal tumor of apical sweat gland. It is often cutaneous, benign tumor of sweat glands. Other names of it are nodular hidradenoma, eccrine acrospiroma, and solid cystic hidradenoma. Lesions are commonly seen on the head, face, extremities and are rarely seen in oral cavity. Clinical appearance of hidradenoma is not specific, but can be diagnosed histopathologically, after complete removal of the lesion. Histopathologically, it has a striking resemblance to salivary gland pathology. A 75 Year old male patient reported with an extra oral swelling near the lip region. Clinical diagnosis was found to be different when compared to the histopathological diagnosis. Management includes wide local excision.

Keywords

Hidradenoma, Hemangioma, Papilloma, Myoepithelial Cells.

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S. Sheik Asraf ¹, A. Sivakkanni ¹, M. Sneha ¹, S. Janani ¹, P. Jashin ¹, A. Martina Jemimal ¹

Affiliations
1 Department of Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil-626 126, IN

Abstract

In the weeks and months following the COVID outbreak, millions of students around the world are forced to switch over from traditional classroom learning to online learning. This unprecedented move had tremendous impact on the mode of learning project based courses. In particular, the field of biological science project based courses which require the students and faculty to work in the laboratory was impacted. 5 students and a faculty from Kalasalingam Academy of Research and Education used modern in silico tools, databases and software to study a biological problem related to antibiotic resistance in a bacterium called Enterobacter hormaechei subsp. hoffmannii OIPH-N069. The students used freely available modern bioinformatics tools, databases and software such as NCBI, PROTPARAM, SOPMA, BLAST, CLUSTAL OMEGA, CDD, SWISS-MODEL server, PATCHDOCK, PYMOL and CARD to carry out the research work. This method of doing the project has resulted in the phase I completion of the project course successfully. This methodology of usage of freely available tools, databases and software will help students worldwide to pursue the project based biology courses successfully. The significance of this study is the capability of students in completion of the biology project with the usage of only computer and internet and not to depend upon expensive wet lab study.

Keywords

Bioinformatics, In Silico, Project, Computer, COVID.

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