Miracle-dz/UniFAR-FTUs huggingface dataset:
Reinforcement learning model for virtual pets

: Virtual pets are developed with the ability to learn from their environment and interact with the user, which is used for Reinforcement Learning and interaction local or independent. Intelligent agents are used in a virtual environment and receive feedback; we simulate many daily activities of a dog which is essential for the interaction with the user. The use of learning in pets gives a real dimension artificial life and allows the system to evolve intelligently. They give a satisfactory learning in mathematical linguistics considering it as a process. The sequence is repeated at different intervals of time, therefore it is a recursive function, and finally obtained the generalization error, through the concept of distance.
Extraction of Fragrance from Tangerine (Citrus Reticulata)

Extraction of essential oils/fragrance from dried tangerine peels by wet-steam distillation, dry-steam distillation and solvent extraction were investigated. Results indicated that wet steam distillation method gave the highest oil yield of 0.27% using simple weight of 200gm while the solvent extraction method gave the lowest yield of 0.21, 0.22 and 0.21 percent respectively using sample weight of 32gm. Analysis of the oil extracted from both wet and dry-steam distillation shows that tangerine oil contains high percentage of limonene (90.2% as terpene). KeywordsCitrus reticulata, distillation, Extraction, Fragrance, limonene.
The Association between Body Mass Index and Metabolic Conditions

Introduction: Obesity is one of the significant public health epidemic and its global prevalence is increasing. Along with this, certain risk factors including malnutrition, lack of physical activity and high stress levels contribute to the emergence of various other metabolic conditions that may cluster together in enhancing the effects of obesity and might hinder in its control. Methods: This is a cross sectional study in which chart review of patients’ files for all patients coming to the outpatients department (OPD) clinic in Prince Sattam bin Abdul-Aziz University, Alkharj, Saudi Arabia until the sample size i.e. 354 was achieved. Data was analysed with SPSS version 21. Descriptive statistics were obtained as frequencies. Pearson Chi-square analysis was used to assess any differences between Body Mass Index (BMI) categories and study variables. The logistic regression model was used to examine the relationship between BMI categories and potential causal factors at p-value<0.05 which was considered significant. Results: Findings showed that 45.8% of study population was obese, 28.5% was overweight Gender distribution showed that highest number of females i.e. 47.2% were obese followed by overweight (28.8%). Similar trend was found among males i.e. 35.6% and 26.7% respectively. Across various BMI categories, individuals between 16-30 years were healthy; 16-45 years were obese and overweight. Among all, 11% were found to be hypertensive, 45.5% anemic while 58% had vitamin D deficiency. Hypertension was prevalent in 17.4% of obese whereas anemia remained constant in all BMI categories. Likewise, vitamin D deficiency was evident in obese (63.4%), healthy (65.5%) and underweight (54.5%). Chi square showed age groups, Vitamin D deficiency and hypertension to be the significant predictors of BMI however, logistic regression showed no significant association. Conclusion: The present study showed no significant association between BMI categories and anemia, vitamin D deficiency, hypertension along various age groups; indicating that there might be other causes in Saudi population causing. Longitudinal and interventional studies are required to prove this association incorporating factors like socio-demographics, diet and exercise. Strategies should be build up to minimize the prevalence of such preventable conditions under discussion in order to promote better health among Saudi population.
Improvement of Bit Error Rate (BER) of Adaptive OFDM (AOFDM) Systems under different Channels by using Convolutional Coding

— With the rapid development in wireless communication system, the demand for transmission of more information, both voice and data, has increased rapidly in the last few years and no slowdown in the demand is seen in the near future. One of the promising approaches to wireless system is adaptive OFDM (AOFDM). In this project, we simulate quadrature amplitude modulation (QAM) and phase shift keying (PSK) modulation scheme operating under both Additive White Gaussian Noise (AWGN) and Rician channel & comparison over Convolutional with turbo coding is analyzed briefly. The simulation result shows further the performance of transmission modes evaluated by calculating the probability of Bit Error Rate (BER) versus the Signal Noise Ratio (SNR) to improve bit error rate. The obtained results show that a significant improvements in terms of bit error rate (BER) and throughput can be achieved better under Rician channel using Convolutional coded AOFDM system.
DESIGN AND ANALYSIS OF THREE-PHASE SPLIT SOURCE INVERTER

DOI: 10.5281/zenodo.59958 ABSTRACT In many DC-AC power conversions a voltage source inverter (VSI) along with an additional DC-DC boosting stage is required. To overcome this problem in VSI, a split source inverter is preferred. This paper presents a combination of boost stage and VSI stage as a single unit DC-AC power conversion named as split source inverter (SSI). The proposed topology require three additional diodes with same number of active switches of VSI and eight same states of conventional pulse width modulation. This work present the analysis of SSI with sinusoidal pulse width modulation technique. The developed SSI model is simulated on MATLAB/SIMULINK environment. Simulation results have been obtained for inverter voltage, inductor current, output line current and total harmonic distortion of output line current.
Assessment of Coverage and Mothers’ Knowledge on SP-IPTp Implementation and Factors Associated with High Knowledge in the Hohoe Municipality of Ghana

Background: Malaria in pregnancy is a major health concern worldwide. The currently recommended package for malaria control includes the use of long-lasting insecticide-treated bed nets (LLIN), administration of intermittent preventive treatment (IPTp) with Sulphadoxine-pyrimethamine (SP) during pregnancy (SP-IPTp). This study assessed coverage and knowledge of mothers on the SPIPTp programme in the Hohoe Municipality. Method: A descriptive cross-sectional survey among 430 mothers with children under five years. Interviews with semi-structured questionnaire were used to collect information. Chi-square test and logistic regression were used to determine the association between dependent and independent variables. A p-value < 0.05 was considered significant. Results: Of a total of 430 respondents, 420 (97.7%) received at least a dose of SP during pregnancy, 234 (54.3%) experienced an adverse reaction to the SP and 94 (21.9%) had a high knowledge on SP-IPTp. There was a significant association between education, occupation and high knowledge (χ2 = 15.12, p = 0.002) and (χ2 = 12.72, p = 0.013) respectively. Civil servant mothers were 3.65 times more likely to have a high knowledge as compared to those unemployed (AOR = 3.65, p = 0.012). Mothers perceived Direct Observation Therapy (DOT) approach as a way of ensuring that they actually swallowed the drug. Suggestions made by mothers were that more information about the SP-IPTp programme should be provided and the smell, taste and side effects of SP should be improved. Conclusion: Knowledge on SP-IPTp among mothers was very low. However, uptake of SP was very high due to DOT approach. The DOT approach should be maintained and there should be more training for midwives to enable them to provide more information to mothers.
A Discussion on Traceability Matrix and Challenges

Requirements traceability is a critical component of any rigorous software development process. Requirements traceability also helps to control and manage evolution of a software system. The challenges of implementing successful and cost-effective traceability have created a compelling research agenda that has addressed a broad range of traceability related issues. This paper attempts to address the need by studying the factors that make traceability important and discusses the challenges facing traceability practices in industry.
Security System And Home Appliances Control Using IoT

The aim of project is security system and home automation control using IoT. Today we are living in 21st century where automation is playing important role in human life. Home automation and security system allows us to control household appliances like light, door, fan, etc. It also provides home security and emergency system to be activated. Home automation not only refers to reduce human efforts but also energy saving and time efficiency. The main objective of home automation and security is to help handicapped and old aged people who will enable them to control home appliances and alert them in critical situations Security is the main concern of the world now days. Home automation and security system which is playing important role in modern life due to this flexibility and reliability in using different places we can control the home appliances which will reducing time and save money and also minimizing human efforts. In this paper we present the implementation base on IoT because now-a-days internet plays a major role in every area, so integrating sensors technology with an IoT environment could resolve the security issues of society to a great extent . The various drawbacks of existing technologies are cost and range. We can control of appliances through the IoT and sensor data are stored in cloud. By using IoT we can monitor and control the sensors and actuators in all over world.
Effect of foliar application of orthosilicic acid on leaf and fruit nutrient content of apple cv . “ Red Delicious ”

Present investigation on the “Effect of foliar application of orthosilic acid on leaf and fruit nutrient content of apple cv. Red Delicious. ” was undertaken at a private orchard Pulwama during 2014 and 2015. The experiment comprising of five treatments viz, control, orthosilicic acid @ 0.5 ml/litre, 0.75 ml/litre, 1.5 ml/litre and 3.0 ml/litre was laid out in Randomized Complete Block Design with three replications. The trees were treated with foliar sprays of orthosilicic acid at green tip stage, petal fall stage, fruitlet stage, fruit development stage-II and fruit development stage-III. The results revealed that leaf and fruit nutrient content was significantly affected by treatments. Maximum leaf N (2.18 and 2.15 %), P (0.30 and 0.27 %), K(2.21 and 2.18 %) and Ca (1.95 and 1.90 %) content and fruit N (0.53 and 0.57 %), P (0.052 and 0.057 %), K (0.65 and 0.69 %) and Ca (0.060 and 0.064 %) content was recorded in trees sprayed with orthosilicic acid @ 3.0 ml/litre during the two years respectively which was at par with leaf N (2.07 and 2.04 %), P (0.28 and 0.24 %), K (2.09 and 2.03 %) and Ca (1.85 and 1.81 %) content and fruit N (0.51 and 0.55 %), P (0.050 and 0.053 %). K (0.63 and 0.66 %) and Ca (0.058 and 0.062 %) content in trees sprayed with orthosilicic acid @ 1.5 ml/litre. In conclusion the result of this study highlights the role of silicon in improving nutrient content in apple.
Multi-Level Memristor Memory: Design and Performance Analysis

: Memristor-based memories are one of the attractive candidates to replace present memory technologies due to its novel characteristics such as non-volatile storage, nanosize cell, compatibility with CMOS, low power dissipation, and multi-level cell (MLC) operation etc. However, the device needs to overcome the potential challenges such as process variations, non-deterministic nature of the operation, sneak path issues, non-destructive write and read operation. One of the most important characteristics of memristor memories is its ability to store multiple bits in one cell. In this paper, we design a low power, high-speed multi-level memristor based memories. Additionally, the performance analysis of the multi-level memristor memories has been performed under various memristor models and window functions .
Job satisfaction among employees – a study of J&K Banks in the state of Jammu and Kashmir

A satisfied, happy and hard working employee is the biggest asset of any organization, including banks. Banks are the backbone of our country and therefore their contribution to the nation should be to the fullest. Workforce of any bank is responsible to a large extent for its productivity and profitability. Efficient human resource management and maintaining higher job satisfaction level in banks determine not only the performance of the bank but also affect the growth and performance of the entire economy. The employees of the Bank are valuable assets to the organisation. So, for the success of banking it is very important to manage human resource effectively and to find whether its employees are satisfied or not only if they are satisfied, they will work with commitment and project a positive image of the organization. If they are highly satisfied they produce more and it is profitable for the organization. Job Satisfaction is an integral component of organisation climate and an important element in the management employee’s relationship. Job satisfaction means individuals emotional reaction to job it. It is a positive emotional state that occurs when a person’s job seem to fulfil important job values provided. When a person says that he has high job satisfaction, it means that he really likes his job, feels good about it and values his job dignity. It is in regard to one’s feelings or state–of-mind regarding the nature of their work. It is often said that “A HAPPY EMPLOYEE IS A PRODUCTIVE EMPLOYEE”. The main objective of this paper is to investigate the level of job satisfaction of J&K Bank employees in Kashmir identifying the satisfaction level of employees, various factors influencing satisfaction of employees and to study the relationship between personal factors of employees. Based on a survey, the paper attempts to gain insights into the satisfaction level from the perspective of the bank employees.
Performance of Indian Banking Sector’s in the Post-Liberalization Period with New Approaches

There cannot be a discussion on financial sector in India without the mention of the banking industry. Banking industry is considered as the backbone of Indian economy. After liberalization of the policies by the government, the banks have to be more competitive and performance-oriented in the new environment. It has become quite difficult for them to survive, perform and succeed in the market. Under these circumstances, there is a need to have a look at the emergence of the Indian banking system right from its early days till now. I. HISTORY OF INDIAN BANKING Commercial banking has been one of the oldest businesses in India and the earliest reference of commercial banking in India can be traced in the writings of Manu. The establishment of the General Bank of India in the year 1786marked the development of a structured banking system in India. Later the Bank of Hindustan and Bengal Bank came into existence. The East India Company established three banks. These three banks were amalgamated inthe year 1920 to form the new Imperial Bank of India. The imperial Bank was nationalized and renamed as the State Bank of India with the passing of the Act in 1955. The Swadeshi Movement witnessed the birth of several indigenous banks, such as Punjab National Bank, Bank of Baroda and Canara Bank (ICFAI, 2004). While several committees have gone into the problem of commercial banks in India, the recommendations made by the high level committees on the financial sector reforms, chaired by Mr. M. Narasimham laid the foundation for the banking sector reforms. These were: a) Narasimham Committee-l (1991). b) Narasimham Committee-ll (1998). II. PHASES OF INDIAN BANKING The Indian banking system and its regulations can be better understood when divided into the following two phases: 1. Post-Nationalization 2. Post-Liberalization. The era of nationalization commenced in 1969 when the country's 14 major commercial banks were nationalized. In continuation of this process, 6 more banks were nationalized in 1980. As a result of nationalization, the aggregate deposits of scheduled commercial banks (SCBS) which stood at Rs.4,669 crore during July 1969 touched Rs.2,33,753 crore by the end of March 1992(Statistical Tables relating to Banks in IndiaVarious Issues, RBI). The poor performance of the public sector banks was increasingly becoming an area of concern. The continuous decline of profitability and rise of Non-Performing Assets (NPAS) of banks posed a significant threat to the stability of the financial system. Till the early 1990s, the financial sector could be described as a classic example of ‘financial repression’ (the term coined by Mckinnon and Shaw) (Rajput, 2008).
An Enhanced Authentication Mechanism Against Untrusted Access and Phishing Attacks Using USSD

— Text passwords entered through personal computers is the most commonly used internet authentication for end user transactions such as online banking, e-commerce etc, due to its convenience and simplicity. Personal computers are preferred by most of the users than personal handheld devices for transactions, due to features like screen size and keyboards. However use of text passwords and typing them directly to computers are prone to be stolen and compromised under different threats and vulnerabilities like keylogging, phishing, and pharming. Such attack can extract user identity and sensitive account information allowing account access. In this paper, we propose a simple approach to overcome such attacks, which provides two modes of authentication. In low mode, normal text password is used and there by user indicates the server that user is in an untrusted environment which restricts the user’s action. In high mode, the user’s text password input is separated cryptographically from the client PC and the user has full access to all the services. The user’s secret key is input through an independent personal trusted device such as a cellphone which makes it available to the PC using a telecommunication facility called Unstructured Supplementary Service Data (USSD). This proposal is intended to safeguard passwords from the attacks mentioned above, as well as to provide transaction security to foil session hijacking.
Secure Auditing and Deduplicating Data on Cloud

Cloud computing is a technology that used for storing and accessing. The data on remote location. It is totally internet-based.it is self-service and on Demand technology. That’s why now days it’s mostly used and popular term. Enterprises and organizations used cloud storage for access data to third-party. As like, the single user also use the confidential data anywhere, anytime on earth It is now becoming business standard. Its simplify users accessibility. It is cost saving and flexible for better performance on internet. But is also occur drawbacks like security and integrity on data. Like many times the data is already available on storage but it contain slightly difference. So overcome this problems we introduce two secure system, namely seccloud and seccloud+. Seccloud is used for generating tags on data before uploading and seccloud+ is maintain the integrity auditing and secure de-duplication on data because every customer wants to encrypt their data before uploading. Data integrity and storage efficiency are tw o
EVALUATING PASSENGER’S PERCEIVED SERVICE VALUE, SATISFACTION AND BEHAVIORAL INTENTIONS IN AIRLINE SERVICES BY FLIGHT CATEGORY: A STUDY OF SERVQUAL

EVALUATING PASSENGER’S PERCEIVED SERVICE VALUE, SATISFACTION AND BEHAVIORAL INTENTIONS IN AIRLINE SERVICES BY FLIGHT CATEGORY: A STUDY OF SERVQUAL 1 Faisal Tehseen Shah, 2 Abeer Imam, and 3 Zaineb Syed, MS Scholar fshah@ciitlahore.edu. pk abeer_imam11@ymail.com zspak@gmail.com Department of Statistics, 2 & Department of Management Sciences, COMSATS Institute of Information Technology, Lahore ABSTRACT: SERVQUAL has always remained a best and strong tool to identify the discrepancies in customer expectation and their actual experience about the quality of service provided by the company and their satisfaction. Passenger’s perception, their satisfaction and behavioral intentions can be properly judged by using the SERVQUAL. This study measures airline service quality based on data collected at a Pakistani International Airline through survey. Analysis is done using independent sample t-test. Study reveals that flight category is significant variable for measuring passenger perception and satisfaction. The results demonstrated that both domestic and international passengers perceive the service value equally and also likely to travel with same airline in the future but their satisfaction level differs. Additionally, with respect to flight category SERVQUAL perceptions on Responsiveness, Assurance and Empathy remain same but on Tangibles and Reliability dimensions it significantly varies. Future recommendations for researchers and managers are also presented.
VSC - HVDC Transmission System Analysis Using Neural Networks

— Confronting with an increasing demand of power, there is a need to explore the most efficient and reliable bulk power transmission system. Rapid development in the field of power electronics devices especially Insulated Gate Bipolar Transistors (IGBTs) has led to the High Voltage Direct Current (HVDC) transmission based on Voltage Source Converters (VSCs). This new innovative technology provides substantial technical and economical advantages for direct applications compared to conventional HVDC transmission system. The VSC based HVDC transmission system mainly consists of two converter stations connected by a DC cable. This paper presents the performance analysis of VCS based HVDC transmission system. In this paper a 75kM long VSC HVDC system is simulated for various faults on the AC side of the receiving station using MATLAB®/SIMULINK. The data has been analyzed and a method is proposed to classify the faults by using back propagation algorithm. The simulated results presented in this paper are in good agreement with the published work.
Home Automation Security System with IoT and Embedded System

— The paper explains the importance of accessing modern smart homes over the IOT and embedded system and highlights various security issues associated with it. Home automation allows us to control household appliances like lighting, door locks, heating, fan, air conditioning etc. It also provides home security and emergency system to be activated. Home automation system not only refers to reduce human efforts but also energy efficiency and time saving. The main objective of this paper is home automation and security such as access control and alarm systems in smart door locks. When connected with the internet, home devices are an important constituent of the IoT. There are number of applications addressing home automation and monitoring involving infrared/Bluetooth or Ethernet or Wi-Fi.
Applications Of Sensors To Detect The Behavior Of Human. A Survey Paper

- A decade years ago, there is a lot of Researches as well as investigation has been conducted in the area of real-time emotion recognition of a humans like Heart rate, Breathing rate, Body Temperature, skin conductance etc. Emotion recognition has a significant applications in education, medicine, technologies and human-machine interaction. The present paper reveals the researches that has been conducted related to the application of sensors, automation, bio-signaling, and controlling ways over to the behavior/feelings of humans.