Miracle-dz/UniFAR-FTUs huggingface dataset:
SEGMENTATION OF APPLE POINT CLOUDS BASED ON ROI IN RGB IMAGES

Autonomous harvesting and evaluation of apples reduce the labour cost. Segmentation of apple point clouds from consumer-grade RGB-D camera is the most important and challenging step in the harvesting process due to the complex structure of apple trees. This paper put forward a segmentation method of apple point clouds based on regions of interest (ROI) in RGB images. Firstly, an annotated RGB dataset of apple trees was built and applied to train the optimized Faster R-CNN to locate ROI containing apples in RGB images. Secondly, the relationship between RGB images and depth images was built to roughly segment the apple point clouds by ROI. Finally, the quality control procedure (QCP) was proposed to improve the quality of segmented apple point clouds. Images for training mainly included two lighting condition, two colours and three apple varieties in orchard, making this method more suitable for practical applications. QCP performed well in filtering noise points and achieved Purity as 96.7% and 96.2% for red and green apples, respectively. Through the comparison method, experimental results indicated that the segmentation method based on ROI is more effective and accurate for red and green apples in orchard. The segmentation method of point clouds based on ROI has great potential for segmentation of point clouds in unstructured scenes.
Optical imaging of cardiac atrial activation and repolarisation in genetically altered models

A method for developing an optical mapping system to quantify electrical activation and repolarisation in murine left atria was created. The spread of activation is important in understanding the mechanisms for the rhythm of the heart in healthy and diseased states as cardiovascular disease is the leading cause of death worldwide. The activation spread was recorded using a novel 2nd generation high resolution (128x2048 pixels) CMOS camera with the voltage sensitive dye di-4-ANEPPS. Algorithms for automatic quantification of action potential duration and conduction velocities were implemented in MATLAB. Optical mapping results were validated against monophasic action potentials and microelectrode measurements showing comparable duration measurements. A genetic mouse model of atrial fibrillation was used (Pitx2c\(^+\)\(^/\)\(^-\)) and was found to have a shorter action potential duration in the left atrium compared to wild-type mice. The results showed a preferential antiarrhythmic effect of the sodium channel blocker, flecainide, to the left atrium of Pitx2c\(^+\)\(^/\)\(^-\) mice. A second mouse model was used to mimic arrhythmogenic right ventricular cardiomyopathy (plako\(^+\)\(^/\)\(^-\)). No significant changes were witnessed in young sedentary cohorts at baseline and flecainide slowed conduction in both WT and plako\(^+\)\(^/\)\(^-\). In endurance trained mice, a prolongation of the effective refractory period was seen after flecainide treatment. Plako\(^+\)\(^/\)\(^-\) sedentary mice treated with dihydrotestosterone showed a prolongation in action potential duration.
The Classification of Workforce Requirement Planning for Service Oriented Operations

:- In today’s world of competitive international economy sectors, service industry or service sector oriented businesses, the key point is to maximize the efficiency and sustainability of the business directly related with optimal planning of the workload and distributing them among the employees. Helpdesks and operation centers are one of the fastest developing service area of this sector. This paper compares the machine learning algorithms that can be used for the classification of workforce requirements for a bank operation center which provides support to reduce operational workload of bank branches. Classification of the workload based on the quantity of Money Order and EFT operations within time zones aids in the management of workforce teams and distribution of jobs between team members
A Normalized SVD based Image Watermarking with an Enhanced Robustness and Imperceptibility

: Digital Image watermarking is one of the most active and challenging subjects in the information hiding research because it is an efficient solution to protect the copyright of the digital media. This paper proposes a new robust watermarking approach based on the selection of singular features of host image into which the watermark has to embed. The host image initially subjected to a normalization process to find the invariant features and then the obtained invariant features are subjected to Integer Wavelet Transform (IWT) followed by Normalized Singular value Decomposition (NSVD). NSVD normalizes the singular values of invariant sub bands which can effectively resist the attacks. Genetic Algorithm (GA) is used to normalize the singular values. After, the obtained normalized singular values are modified by adding the singular values of watermark image. At the embedding phase, Particle Swarm Optimization (PSO) was used to optimize watermarking constant. Numerous experiments are conducted over the proposed approach to evaluate the performance. The obtained experimental results demonstrates that the proposed approach is superior compared to conventional approaches and is able to provide efficient resistance over Gaussian noise, salt & pepper noise, median filtering, cropping, rotation, contrast enhancement, scaling and Histogram Equalization attacks.
Anti-Aβ Antibodies in the Fighting with Alzheimer’s Disease

Alzheimer disease (AD) is the most common form of dementia. Amyloid-β plaques have become main therapeutic targets on the basis of growing evidences. Despite hundred studies are designed in animals and humans, the success in this therapeutic approach is still a disappointment. In the present study, the affect mechanism of anti-Aβ antibodies, the type of antibodies and immunization, why despite numerous studies and the huge budget allocated for the researches of AD, the treatment success is limited also what is the last developments in the immunotherapeutic, are reviewed. The necessity of the early treatment of AD is stronger than ever. Therefore, the new studies which target to develop the new conformation specific antibodies and the new techniques that facilitate the crossing of these new conformation specific antibodies to central nervous system (CNS) through blood brain barrier (BBB) should be designed.
Quantum Image Scrambling

Deborah Adeline George C.S. E Department, R.M. K Engineering College Jeevitha C.S. E Department, R.M. K Engineering College Kalpana C.S. E Department, R.M. K Engineering College S.D. Lalitha C.S. E Department, R.M. K Engineering College -------------------------------------------------------------------ABSTRACT-------------------------------------------------------------Information concealment aims to implant secret knowledge into the transmission, like image, audio, video, and text. Analogies between quantum image process (QIP) and classical one indicate that quantum image scrambling (QIS), as vital as quantum Fourier Transform (QFT), Quantum Wavelet Transform(QWT) and etc., ought to be planned to market QIP. Image scrambling technology is often wants to rework animportant image into a disordered image by permutating the pixels into new positions. The Hilbert image scrambling rule, that is often utilized in classical image process, is dispensed in quantum laptop by giving the scrambling quantum circuits. The planned novelty has been illustrated employing a state of affairs of sharing medical mental imagery between 2 remote hospitals. The simulation and analysis demonstrate that the 2 freshly planned approaches have wonderful visual quality and high embedding capability and security.
Implementation of Voice based Touchless Lift System

In this rapid world of technology where voice begins its era of domination to replace the touch screens from smart phones to huge computer systems, bringing voice in day to day affairs becomes significant. An elevator or lift is a transport vehicle that moves people or goods from on floor to another floor in a building. Typically push buttons were used to send requests to the elevators. In recent times touch buttons are coming to use. But now voice recognition can replace the push/touch technology. Elevators being one such system used in daily life serves this purpose of making future generations hands free which also becomes a boon for the disabled as well as helps during the pandemic situation to avoid physical contact. The main objective of this project is to propose and assemble a voice operated lift/elevator control system. The proposed system acts as human-machine communication system. This research combines electronic control technology with speech recognition technology. The input to the system is human speech. Speech recognition is the method of recognizing the vocal words to take the essential actions accordingly. This device is very helpful for paralysis, short height people and physically challenged persons.
VOLATILES COMPOSITION, PHYSICOCHEMICAL PROPERTIES, KINETIC STUDY AND ANTIOXIDANT POTENTIAL OF ENDEMIC ARTEMISIA ( ARTEMISIA JUDAICA L.) ESSENTIAL OIL

: The present work was conducted to investigate the yield, chemical composition, kinetic study, antioxidant and physicochemical properties of essential oil isolated from the aerial parts of Artemisia judaica harvested from Jazan region of Saudi Arabia. The hydro-distilled essential oil yield was found to be 1.08%. GC-MS analysis confirmed 21 chemical components, representing 98% of the total oil composition. As far as GC-MS volatiles profiling is concerned, (+)-davanone (1) was detected to be the principal component (34.32%) followed by camphor (21.61%). A considerable amount (7.7%) of a blue color imparting compound, chamazulene , was also detected. FT-IR spectrum of the oil also and validated the chemical components identified. Extraction process of A. judaica essential oil was further elucidated through kinetics study, which showed that antioxidant activity was affected in time and concentration dependent manner following second order kinetics. Further, physicochemical properties such as specific gravity, refractive index, acid value, peroxide value and saponification value of the oil were tested and discussed. The findings of this study revealed that endemic species of Artemisia has significant potential for nutra-pharmacetical applications.
Social Capital and Sustainable Urban Development

Social capital is a new concept that Today is discussed in, economic and social studies and modern societies studying this approach has several projects in economic, social and environmental development, Indicating the important role of social structures and relationships between people (Social capital) on the development the variables of dimension all. Economic theorists believe the capacity of countries to achieve to economic and social goals related to their ability to govern cities urban development has today significant . Cities in national income, the transfer of information technology and build social capital through human resources play a crucial role. According to report of Human settlements Centre the United Nations by contemporary societies development is primarily due to the growth of management and urban development. Social capital and its recognition as a capital what in macroeconomic management level of the developing countries and in the management level organizations and businesses can create new knowledge of economic systems and social and assist managers in the conduct or management systems. This object of this article introduces the concept and subject of social capital And its functional role in the sustainable development of the urban. the research method and study is documentary type . This means that the analysis of documents and writings of various scholars, attempted to identify the logic connection and to take paid to analyze the relationships and links among the concepts. So while describing concepts and theories approaches relevant also are discussed their analysis. This paper points out that the existence of social capital among groups, organizations, agencies, and between them can be bring effectively operation sustainable development.
Prediction of Acute Hypotension Episodes

216 Abstract— Acute hypotensive episodes (AHE) are serious clinical events in intensive care units. The prediction of occurrence of an Acute Hypotension Episode (AHE) up to an 1.5 hours in advance is to be made using two groups of ICU patient records from the MIMIC II Database from the Physionet. The physionet challenge is divided into two parts. The first part is to distinguish between patients who have experienced acute hypotension episodes and patients who do not. The second part of this challenge is to predict acute hypotension episodes. The technique proposed in this paper uses time domain features along with principal components of the Arterial Blood Pressure (ABP) waveform averaged over beats lying in each non-overlapping 60s interval for 1.5 hours prior to the start of the forecast window. Classification is performed with a simple Linear Support Vector Classifier (LSVC) after feature selection using genetic algorithms.
Innovative Human Resource Practices in Indian Banks: A Study from HR Manager's Perspective

Banking sector is one of the vital financial pillars of Indian economy is one of the indispensable money related mainstays of Indian economy. The progression approach has influenced the intensity of banks because of the worldwide weights coming about into mix of Human Resource The board with business approaches. The review by Boston Consulting Group (BCG) and Indian Bank's Affiliation (IBA) report that the Indian keeping money industry will confront two up and coming difficulties that is an monetarily feasible answer for monetary consideration and HR structure in next multi decade. While the main test requests bizarre advancement and experimentation, the second undermines to injure the capacity of the biggest fragment of the saving money industry from having the capacity to advance and remain aggressive. The special complexities of people in general division make traditional HR arrangements ineffectual. The activities like "Pradhan Mantri Jan-Dhan Yojana" by the Honorable Prime Minister of India, banks commitment in the budgetary incorporation has helped up, however the representative's desires from the business have additionally emerged. This requires a need to advance the prior HR practices of the banks with the goal that the representative profitability can be improved. This paper intends to give an understanding to such advancements, identified with Human Resource Management with the assistance of a essential investigation dependent on the perspectives of HR chiefs of six diverse Indian banks both from open and private segment. These creative HRM rehearses have been recorded under seven distinct heads of HRM to be specific enlistment and determination, preparing and advancement, execution the executives, pay the executives, profession improvement, worker inspiration and representative security. A couple of the prior examinations have likewise been eluded for the last ends. The dimension of usage of these advancements may not be tasteful, yet the usage has been begun and the positive outcomes in the profitability will make these banks feel how essential these are for their development. It has been discovered that intermingling of practices of new and imaginative HR regions will profit the banks to wind up progressively aggressive.
Molecular structure , vibrational , UV , NMR , molecular electrostatic surface potential and HOMO-LUMO Analysis of 1 , 4-dichloro-2-nitrobenzene

The FTIR and FT Raman spectra of 1-4-Dichloro-2-NitroBenzene (14DC2NB) have been recorded in the region 4000-400 cm -1 and 3500-50 cm -1 respectively. The optimized geometry ,frequency and intensity of the vibrational bands of 1-4-Dichloro-2-NitroBenzene (14DC2NB) was obtained by the Density functional theory (DFT)using the basis set 6-31g(d,p). The harmonic vibrational frequencies were calculated and scaled values have been compared with experimental FT-IR and FT-Raman spectra. The Calculated and Observed frequencies are found to be in good agreement. UV-Visible spectrum of the compound was recorded, the electronic properties and HOMO LUMO energies were calculated by Time Dependent DFT (TD-DFT) approach. A detailed interpretation of the infrared and Raman spectra were also reported based on Potential Energy Distribution (PED). The 1 H and 13 C nuclear magnetic resonance (NMR) chemical shifts of 14DC2NB were calculated using the GIAO approach by applying B3LYP method. The calculated HOMO and LUMO energies show that charge transfer occurs within the molecule. The Chemical reactivity and Thermodynamic properties of 14DC2NB at different temperatures were also calculated.
Biosorption of Pb

In the last three decades attention has been paid on environmental management caused by toxic materials such as heavy metals whose levels have risen due to increased anthropogenic activities. Conventional methods for waste treatment are numerous, some of which are expensive and sometimes inefficient. A search for cheaper and environmentally friendly method of treatment using natural products has taken a central stage in the recent past. Moringa oleifera seed powder was investigated with a view of using it as a low cost biosorbent for the removal of toxic heavy metals from wastewater. Fourier transform Infrared (FT-IR) analysis was done for characterization of Moringa oleifera seeds powder. Batch biosorption experiments of Pb 2+ and Cr 2+ with respect to contact time, pH, particle size, adsorbent dosage, effect of pretreatment and adsorption isotherms were studied. FT-IR showed the presence of –NH, -OH, -COOH functional groups in the biomass. The maximum biosorption capacity was observed at pH 5 for both metals, with the particle size of adsorbent of 0.250 mm and high adsorbent dosage of 0.6 g. The order of modification for Pb 2+ was CaCl2 > NaOH > KMnO4 > HCl, while that of Cr 2+ was KMnO4 > CaCl2 > HCl > NaOH. Although the data fitted into both the Langmuir and Freundlich adsorption isotherms high correlation coefficients of about 1.00, the Langmuir gave better results than the Freundlich. The results suggest that Moringa oleifera seeds have potential application in Pb 2+ and Cr 2+ decontamination from aqueous effluents and that pretreatment further enhances biosorption.
A Survey on Searchable Symmetric Encryption and Approach for Multi-Keyword Search Over Encrypted Data on Cloud Server

: Now a days, cloud computing has evolved as an important paradigm for IT industry with reduced cost, pay as you use, scalability, easy accessibility and improved flexibility. In a cloud environment client data can reside in any corner of the world as maintained and controlled outside their reach. So, there can be security and privacy issue with the client data. To ensure the privacy of data over cloud it is good to outsource the data in a encrypted format. Encryption of data works quite pretty good with single data owner. But single owner scheme restrict the scalability of system which is not useful. So multiple data owners can outsources and access the data securely with encryption. While retrieving such encrypted data searchable symmetric Encryption technique is used which will be reviewed deeply in this paper. To increase usability of system, it is good to allow multi-keyword query search which leads to accuracy in result and ranked search result gives systematic view to the fetched result over encrypted data. Note that, retrieving the data privacy preservation is main issue. To achieve this some novel protocols are discussed in this survey paper.
ENHANCING THE PERFORMANCE OF INFORMATION RETRIEVAL IN QA USING SEMANTIC WEB TECHNOLOGY

-Question Answering is a technique for automatically answering a question in natural language.This question answering services have attained great success over the past years.Despite their great success,existing cQA forums mostly support only the textual answers.These textual answers are not provide the sufficient information.In this paper,we propose a scheme that is able to enhance the textual answers in QA with appropriate media data.For retrieving the media information such as image and video we introduce a semantic web Technology.This approach automatically determines which type of media data should be added for the textual answer.It then automatically collects data from the web to enrich the answer. By processing a large set of QA pairs and adding them to a pool, our approach can enable a novel multimedia question answering (MMQA) approach as users can find multimedia answers by matching their questions with those in the pool. Different from a lot of MMQA research efforts that attempt to directly answer questions with image and video data, our approach is built based on community-contributed textual answers and thus it is able to deal with more complex questions. We have conducted extensive experiments on a multisource QA dataset. The results demonstrate the effectiveness of our approach.
A REVIEW ON GLYCINE MAX (L.) MERR. (SOYBEAN)

Alterative medication and natural remedies have been used from ancient time for the treatment and wellbeing of human. Medicinal plants are considered to be effective and for most important for the above purposes. The Mother Nature has provided us with a huge count of flora and fauna. Some of the natural medicinal plants are so common that we use them in daily life without knowing their medicinal importance. Glycine max (L.) Merr is the best example of it. The plant is commonly known as soy bean which is eatable. Bruised leaves applied to snake bites, Flowers used for blindness and corneal opacities. Green bean hulls chewed to a pulp are applied to smallpox ulcers, corneal ulcers and excoriations in children from urine, dried sprouts believed to be beneficial for hair growth and curative for ascites and rheumatism. This review article is a sincere effort to put forward the medicinal importance and chemical detail about the plant.
Analysis of Indian languages Text Entry Performance for Mobile Devices

— With the extensive growth of Information and Communication Technology (ICT), the handheld devices have become an imperative part of our daily lives. They have become smaller, economical and more prevailing, allowing their users to perform diverse tasks in standalone as well as moving condition. Recent technical advancements make demand of text messaging using mobile devices in users’ mother tongue especially for English illiterate common Indian people. However, the text messaging or entry performance, like text entry rate and users’ error rate during the message composition is not analyzed till now. This paper presents an exhaustive empirical study on the text entry performance like - text entry rate and users’ error rate during the text message composition with mobile device. We explore the statistical impact of different font size of key of mobile keyboard on both text entry rate and error rate while user type message in stand-alone and walking condition. We also examine the impact of Indian languages like, Hindi Bengali on text messaging task. Statistical analyses of the empirical studies establish that the text entry rate and error rate are significantly varied with the key size in both for the user in staying ideal or sand-alone and moving by walk condition. Those are also different while the users compose message as well walking and stand-alone. However, only the considering language (Hindi, Bengali) without considering other factor, has not significance impact of text entry performance while the users in movement by walk or sitting ideal and type message only. The outcome of this research would be helpful to design Indian language compatible mobile user interface for more efficient text messaging in both for the user in walking mode or stand-alone mode.