A Robust Student Attendance Monitoring System using NFC Technology and Biometrics

In most of the colleges across the globe, an efficient and authenticated attendance monitoring system for students has not been developed yet. In this paper, we are proposing a non-intrusive system wherein students can record their attendance by providing their fingerprint while they are seated in their places. This system makes use of NFC enabled smart phones, NFC tags, a biometric fingerprint scanner App and Wi-Fi for storing the attendance online. It provides authentication of students and security of data. Secure session is maintained by NFC tags using encryption. The lecture time can be saved since no manual attendance is required

SMART WATER IRRIGATION SYSTEM USING IoT

Agriculture is very significant for India. Since, the people of India mostly depend on agriculture for their livelihood. Farming has seen a number of technological transformations in the last decades, becoming more industrialized and technology-driven. By using various smart agriculture gadgets, farmers have gained better control over the process of raising livestock and growing crops, making it more predictable and efficient. Incumbently a technology play an indispensible role for the development of this agricultural country and farming is also solemnly depends on water. Water irrigation is one of the methods to supply water in their farms but in some occasion it might be wasted. The traditional water irrigation system is very difficult due to the scarcity of water which is primarily caused by rapid growth of population and climate. Internet of Things (IoT) is a new methodology to empower the modernization of agriculture. Since through automation Iot can make agriculture and all sorts of farming process in an efficient way by reducing human interventions. So, due to this, it is proposed a novel method called automation of water irrigation system using IoT to save water and time. In this novel approach it is planned to use various sensors such as temperature, humidity, soil moisture sensors to measure the different parameters of the soil based on the value of soil moisture will get automatically make the motor status as on or off stage. With respect to these sensed parameters and the status of the motor will be displayed on mobile. Monitoring and collecting data for soil moisture, temperature, humidity and sunlight intensity across multiple fields will improve efficiency of water usage and crop yield of large and local farms and also when the soil in agricultural land becomes dry by using this method the pump will automatically start the flow of water for irrigation. Sensors are deployed on the farms to monitor the status of crops according to the climate changes in light, humidity, temperature, shape and size. Any deviation is identified by the sensors then the status of the crop will be displayed on the farmer’s smart phone

(1,2,3,4-Tetra­hydro­isoquinoline-2-carbo­dithio­ato-κ2 S,S′)(thio­cyanato-κN)(tri­phenyl­phosphane)nickel(II)

The NiII atom in the mononuclear title compound, [Ni(C10H10NS2)(NCS)(C18H15P)], exists within a S2PN donor set that defines a distorted square-planar geometry. A significant asymmetry in the Ni—S bond lengths support the less effective trans effect of SCN− over PPh3

Bis(μ-N-benzyl-N-furfuryldithio­carbamato)-1:2κ3 S,S′:S′;2:1κ3 S,S′:S′-bis­[(N-benzyl-N-furfuryldithio­carbamato-κ2 S,S′)cadmium]

In the centrosymmetric title compound, [Cd2(C13H12NOS2)4], pairs of dithio­carbamate ligands exhibit different structural functions. Each of the terminal ligands is bidentately coordinated to one CdII atom and forms a planar four-membered CS2Cd chelate ring, whereas pairs of the tridentate bridging ligands link two neighbouring CdII atoms, forming extended eight-membered C2S4Cd2 tricyclic units whose geometry can be approximated by a chair conformation. The coordination polyhedron of the CdII atoms is a distorted square-pyramid. The five-membered furan ring and the benzene ring are disordered over two sets of sites with an occupancy ratio of 0.62 (8):0.38 (8)

cis-Bis(4-methyl­piperazine-1-carbo­dithio­ato-κ2 S,S′)bis­(pyridine-κN)cadmium

In the title complex, [Cd(C6H11N2S2)2(C5H5N)2], the CdII ion is hexa­coordinated by two N atoms from two pyridine ligands and by four S atoms from two dithio­carbamate ligands in a distorted octa­hedral geometry. The CdII ion lies on a twofold axis. The piperazine ring is in chair conformation and its least-squares plane makes a dihedral angle of 81.4 (1)° with that of the pyridine ring

Effective recommendation model using social network for linking user pursuit to product content

40-45The ongoing advancement of data innovation and the rapid development of the internet has encouraged a blast of data which has highlighted the issue of data overload. In reaction to this issue, recommender programs have evolved and helped users find their fascinating content. With the progressively entangled social setting, how to satisfy customized demands effectively has become another development in customized proposal administration contemplates. To mitigate the sparse issue of recommendation systems, we suggest a new recommendation approach based on fuzzy theory to improve their consistency and flexibility in diverse contexts. The proposed method also employs social network to reflect multifaceted factors of users. In this strategy, we group clients and consider about assortment of complex variables. The results on amazon dataset indicate that the proposed method achieves better efficiency over current methods

Boosting a Hybrid Model Recommendation System for Sparse Data using Collaborative Filtering and Deep Learning

499-502The exponential increase in the volume of online data has generated a confront of overburden of data for online users, which slow down the suitable access to products of pursuit on the Web. This contributed to the need for recommendation systems. Recommender system is a special form of intelligent technique that takes advantage of past user transactions on products to give recommendations of products. Collaborative filtering has turn out to be the commonly adopted method of providing users with customized services, except that it endures the problem of sparsely rated inputs. For collaborative filtering, we introduce a deep learning-based architecture which evaluates a discrete factorisation of vectors from sparse inputs. The characteristics of the products are retrieved using a deep learning model, denoising auto encoders. The traditional collaborative filtering algorithm that predicts and uses the past history of consumer interest and product characteristics are updated with the characteristics obtained by deep learning model for sparse rated inputs. The results of sparse data problem tested on MovieLens data set will greatly enhance the user and product transaction

ANALYSIS OF EMPLOYEE ENGAGEMENT PRACTICES AND THEIR ROLE IN RETAINING HEALTHCARE PROFESSIONALS AT ISWARYA SUPER SPECIALITY HOSPITAL, CHENNAI

This study explores the relationship between employee engagement and employee retention within healthcare organizations. By synthesizing existing literature, it explores how employee engagement initiatives impact employee retention rates, thereby influencing organizational effectiveness and patient outcomes. Employee engagement means commitment and motivation of employees to their work and the organization. Engaged employees are productive, innovative and commited to the success of the organization Employee engagement and retention are essential aspects in the performance and sustainability of healthcare businesses. Moreover, it elucidates the mechanisms through which heightened employee engagement fosters greater employee retention, including increased job satisfaction, commitment, and productivity. Quantitative analysis revealed a strong positive correlation between engagement levels and retention rates, suggesting that higher engagement leads to lower turnover. Qualitative findings further illuminated the mechanisms through which engagement fosters retention, including job satisfaction, organizational commitment, and supportive work environments. Overall, this research contributes to a deeper understanding of relationship between employee engagement and employee retention and its impact on employee retention which results in organizational outcomes such as employee turnover, increased productivity and organizational reputatio

Comparative Analysis of Rotation Invariant Pattern and Uniform Pattern in MMLBP Technique for Face Recognition

Recognizing humans based on one or more physical or behavioral traits is referred as Biometrics. Comparing to the traditional methods to authenticate persons, biometric plays a vital role in the area of human recognition. In the field of biometric, face and palm print recognition seeks more attention for the researchers. The failure of recognition is minimum and also the implementation is easier than more other techniques. In this paper we concentrated on face recognition with Local Binary Pattern(LBP), it is simple and fast to recognize face than more other algorithms. Uniform LBP is used to extract features to recognize the face to authenticate the persons. The “non-uniform” patterns are clustered into one pattern due to this lot of information lost. In order to overcome the heavy data which loss in non-uniform patterns a modified multi-scale LBP histogram algorithm is proposed. Hence, the useful non-uniform information is utilized without any training step with entire information without any data loss. We also compare the mapping methods, rotational invariant pattern and uniform with rotational invariant patterns and .hence evaluate the performance of the mapping methods