Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Vehicle Control Using Wireless Embedded System in Transportation System Based On GSM and GPS Technology

— Currently almost of the public having an own vehicle, theft is happening on parking and sometimes driving insecurity places. The safe of vehicles is extremely essential for public vehicles. Vehicle security and accident prevention is more challenging. So in order to bring a solution for this problem this system can be implemented. Vehicle security enhancement and accident prevention system can be developed through the application of ignition control (tracking and locking), fuel theft, accident detection and prevention, driver fatigue, pollution control and speed limiting with efficient vehicle management system. The need for this project is to provide security to the vehicles by engine locking system which prevents the vehicle from unauthorised access. This technique helps to find out the exact location of the accident and with the help of server an emergency vehicle can be sent to the exact location to reduce the human life loss. It also detects the behaviour of the driver through sensors whether he/she is drowsy or drunk, so that occurrence of accident can be prevented. The place of the vehicle identified using Global Positioning system (GPS) and Global system mobile communication (GSM). This is more secured, reliable and low cost.
A Review of NLP Based Upon Semantic Analysis

— The ability to understand natural-language instructions is critical to building intelligent agents that interact with humans. We present a system that learns to transform natural-language navigation instructions into executable formal plans. Given no prior linguistic knowledge, the system learns by simply observing how humans follow navigation instructions. The system is evaluated in three complex virtual indoor environments with numerous objects and landmarks. A previously collected realistic corpus of complex English navigation instructions for these environments is used for training and testing data
Correlation of Disease Knowledge with Adherence to Drug Therapy, Blood Sugar Levels and Complications Associated with Disease among Type 2 Diabetic Patients

Background: Low adherence to medication is a growing concern, seriously undercutting the benefits of current medical care. Present study was plannedon the assumption that knowledge regarding diabetes might be important contributory factor affecting adherence to the treatment regimen, which is crucial in glycemic control &complications related to the disease. Objectives: To investigate any association of knowledge withmedication adherence, Blood sugar level& incidence of associated complications in patients with type 2 diabetes mellitus. Material and method: A cross-sectional study was conducted among 100 adult patients with type 2 diabetes mellitus attending the Diabetes OPD, Bharatividyapeeth Deemed University, medical college, Pune. A questionnaire including Michigan Diabetes Knowledge Test and Morisky Medication Adherence Scale was used. Patients’ medical records were reviewed for Blood Sugar control and occurrence of related complication like arrhythmias, nephropathy, and retinopathy. Results: Analysis of observation shows that 45% of patients had adequate knowledge about diabetes. Out of these 45% of patients, 93.33% (42/45) of patients were adherent to drug therapy (p<0.001), 86.66% (39/45) of patients had BSL Fasting <100 mg/dl (p<0.001), 84.44% (38/45) of patients had BSL PP<135 mg/dl (p<0.001) and only 2.22% (1/45) of patients had history of diabetes related complication. Conclusion: Diabetes knowledge was significantly correlated with better medication adherences, good glycemic control and low incidence of disease related complications.
VIDEO MINING AND ANOMALY DETECTION – SURVEY

-Data mining is a process of extracting previously unknown knowledge and detecting the interesting pattern from a massive set of data. The amount of multimedia data available to users has increased exponentially. Video is an example of multimedia data. It contains several kinds of data such as text, image, meta-data, visual and audio. It is widely used in many applications like security and surveillance, entertainment, medicine, education programs and sports. In many surveillance mission’s huge amounts of data need to be gathered, evaluated and analyzed in order to make the right decision. Interesting events or threats are often hidden within these large amounts of data. The discovery of interesting events is one of the core problem areas of the data-mining research community. Compared to the mining of other types of data, video data mining is still in its infancy. There are many challenging research problems existing with video mining. Beginning with an overview of the video data mining literature, this paper concludes with the applications of video mining.
Computer Aided Design of Traffic Signals

: In olden days traffic flow is very complicated to control on the heavy traffic roads or in metro cites, so overcome this kind of problems we developed traffic light signals, in modern days these traffic light signals also could not control the traffic flow in peek hors and some important days of occasions, finally we overcome these kind of traffic problems here we proposed a computer aided design of traffic signals, this design is a dynamic control of the traffic during rush hours. In this proposed design the Traffic congestion is one of the major issues to be considered. Generally vehicular traffic intersects at the junctions of the road and controlled by the traffic signals. This traffic research is to optimize the flow of vehicular traffic and goods. The flows of a traffic constantly changes depending on the time of day, day of the week, and the time of year. With the ever increasing vehicles on the road and the number of road users, the limited resources provided by current infrastructure lead to ever increasing travelling times. The computer aided design of Traffic signals controller is playing more and more important roles in modern management and controls of urban traffic to reduce the accident and traffic jam in road. This is an automatic sequential process so that there is no possibility to collusion of vehicles. The device that involves counting the sequential in traffic lights controllers, timing and synchronization and flashing light synthesis sequence. This design is developed based on the IRC method for design of traffic signals using Computer aided design.
A 3-LEVEL MULTIFACTOR AUTHENTICATION SCHEME FOR CLOUD COMPUTING

The objective of this paper is to propose a secure, user friendly and economical multi-level authentication scheme that uses multiple factors for gaining access to resource on insecure platforms and for financial transactions. The proposed study is based on a premise that when multiple levels and multiple factors are incorporated in an authentication scheme it not only becomes difficult to break but also resistant to different forms of attacks. This work purposes a scheme where authentication process is carried out in three levels using multiple factors and is called 3L-MFA. The scheme also uses Out of Band (OOB) authentication as one of the factors that offers credible security against man-in-the-middle (MIM) attack. The first level uses username password based on double encryption. Second level uses OTP verification based on Out of Band (OOB) authentication using email id and mobile number. Third level involves user’s interaction on graphical screen in terms of predetermined number of clicks on images, buttons and selection of predetermined number of menu items. The security of proposed system depends upon double encryption using SHA-1 and AES-128-CBC, out of band authentication using OTP and user interaction on a graphical screen that uses probability combination of various numbers.
Controlling Congestion for MANETs using TCP – Vegas Based on Cuckoo Search

: TCP Vegas is a source calculation that offers generally rich performance in the Internet congestion control. TCP Vegas has a few issues which have an impact on its performance. The major issue is related to Rerouting. Another critical issue arises when a ﬂ ow joins to the network later than the previous ﬂ ows; it has the problem of congested queues. It considers wrongly the measured round trip time as its initial Base RTT . It implies that while other ﬂ ows diminish their sending rates because of the existing congestion, this ﬂ ow does not detect the congestion and subsequently increases its sending rate. These issues chieﬂ y have roots in the Vegas estimation process of the propagation delay i.e . Base RTT . In this paper, a novel algorithm is proposed which utilizes the cuckoo search optimization for selecting the ideal estimation of Base RTT . In addition, our proposed calculation powerfully picks moderate begin calculation in light of the assessed continuously the accessible data transfer capacity and alter diminish / increment rate in blockage shirking stage as per particular system environment. Reenactment comes about demonstrates that our proposed calculation can viably stay away from parcels misfortunes and achieve the greatest throughput when contrasted and existing calculations.
Management of Hepatitis C Infection in Kidney Transplantation Candidates and Recipients

Hepatitis C virus (HCV) infection remains a global major health problem. HCV related liver and kidney diseases constitute a worldwide significant burden on countries’ economy. Liver disease progresses rapidly in HCV positive patients with end stage renal disease (ESRD). Allograft and patients’ survival are reduced in post kidney transplant patients with HCV. Screening and infection control measures have aided in decreasing the prevalence of HCV in dialysis units and subsequently in post kidney transplant patients. The management of HCV in patients with renal disease continues to be challenging. Until recently, treatment of HCV relies mainly on pegylated interferon and ribavirin. However, this treatment was associated with low sustained virological response (SVR) and was poorly tolerated in patients with ESRD. Further, it has the potential for rejection in post renal transplant setting. The discovery of the direct-acting antiviral agents (DAAs) has made a revolution in the treatment of HCV. Several pan-genotypic DAA are available to treat HCV in ESRD and in post renal transplant with high SVR and low adverse events. In post renal transplant patients, the drug-drug interaction between DAA and immunosuppressant remain a concern and carries the risk of potential rejection. In this chapter, we performed an updated comprehensive review on the impact of HCV on patients with ESRD and in post kidney Abdulrahman A Aljumah* Department of Organ Transplant and Hepatobiliary Sciences, Hepatology Division, King Abdulaziz Medical City, Saudi Arabia *Corresponding author: Abdulrahman A Aljumah, Consultant Hepatologist, King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, P.O. Box 225264, Riyadh 11324, Saudi Arabia, Tel: +966 11 8011111, Ext. 53704, Fax: +966 11 8011111 ext. 53717; Email: draljumah@hotmail.com Published Date: February 21, 2018
Mini review on Incorporation of Cotton Seed Meal, an Alternative to Fish Meal in Aquaculture Feeds

Fish nutrition has advanced dramatically in recent years with the development of new balanced commercial diets that promote best fish growth and health. Feed accounts for a major part (30-70%) of the total operation cost of an average fish farm. Traditionally, animal protein sources, particularly fishmeal have been the major ingredient of aqua feeds. Fishmeal is one of the most expensive ingredients in formulated fish feeds. Due to increasing demand, decreasing supply and the high cost of fish meal, fish nutritionists have concentrated their efforts to find alternative protein sources to substitute fish meal in the diet of fish. Thus, cottonseed meal (CSM), a by-product of the cotton fiber and cottonseed oil industries, may be used to replace fish meal partially or totally in fish diets. However, the cottonseed meal was evaluated by its anti-nutritional factors and its impact on the growth, survival, carcass composition and histopathology of fishes. It is observed that the more research is concentrated on the gossypol content in the cottonseed meal which is described as the antinutritional factor that shows high impact on the growth, carcass composition and pathological changes in the fish. Hence, considering these problems it is advised to use low levels of cottonseed meal in the aqua feeds. The gossypol level can be minimized by the solvent extracted cottonseed meal and be counteracted by the fortification of lysine and adding up of required iron levels. Further research may be required in histopathological studies to assess the toxicity levels in the tissues of the fish due to the gossypol factor.
Digital Modeling to Resolution Scaling in Soc for Video Coding

: Unlike most other information technologies, which have enjoyed an exponential growth for the past several decades, display resolution has largely stagnated. Low display resolution has in turn limited the resolution of digital images. Scaling is a non-trivial process that involves a trade-off between efficiency, smoothness and sharpness. As the size of an image is increased, so the pixels, which comprise the image, become increasingly visible, making the image to appear soft. Super scalar representation of image sequence is limited due to image information present in low dimensional image sequence. In this work, we analyze re-enhancement work on pixel classification based resolution enhancement, namely, resolution synthesis, and discuss its applicability to low complexity customer grade display systems. In the paper an FPGA implementation of the proposed algorithm is presented, and computational complexity analysis is observed.
Reliability Constrained Energy and Reserve Scheduling of Microgrids Including High Penetration of Renewable Resources. J World Elec. Eng. Tech., 4 (1): 36-41.;

Due to environmentally and economically advantages, high deployment of renewable energy sources (RES) such as wind or photovoltaic (PV) units in Microgrids (MG) has been increasing in recent decades. On the other hand, random and uncertain nature of the RES poses a challenge to Microgrid operators (MGO) for energy and reserve scheduling considering reliability constraints. To address this problem, a novel probabilistic energy and reserve scheduling method is proposed in this paper. The proposed method maximizes the Microgrid net benefit and reliability so that the optimal requirement reserve is determined by a tradeoff between reliability and economics.
Perceptions Analysis on Service Delivery (SD) using ITIL version 3 framework in Ministerio Da Justica Ministry Dili Timor Leste

Service Delivery (SD) is a managerial of the processes that have a primary focus on the user of all Information System (IS) and Information Technology (IT) services, which ensures that IS and IT services can be used according as the function to support the activities in the public institutions. The purpose of this study was to determine the extent to which the strategic development of IS and IT services that have been implemented in accordance with the strategic plan towards the implementation of IT Governance. The results of this study indicate that significantly the Ministerio da Justica Dili Timor Leste (MJTL) has implemented policies and standard operation procedures (SOP) relating to the framework of Information Technology Infrastructur Library (ITIL) version 3, although it is not maximized and extended throughout the unit, it is because lack of human resources, staffing and financial aspects.
Secure Data Deduplication in Hybrid Cloud

: The cloud computing technology has developed during the past decade; in which data outsourced to cloud service for storage has become an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Also the security for the cloud is still a big task. However, the cloud storage of outsourced data cannot be trusted fully and security concerns are raised on how the data deduplication in cloud achieves integrity audit. In our work, we deal with the issue of secure integrity audit and data deduplication on cloud storage. Specifically, we aim at achieving both cloud data integrity and deduplication, while we propose two secure systems namely SecCloud and SecCloud+, also the process of sending and receiving in case of secure by means of same file content with same file name. SecCloud enables an auditing scheme with the application of a MapReduce cloud, where the clients are responsible to generate data tags before uploading data and audit the integrity which has been stored in cloud as well. Compared to the related works, the computation of integrity auditing of user’s file in SecCloud is highly reduced. SecCloud+ ensures that the files are encrypted before uploading, which provides secure data integrity and encrypted data deduplication.
IMPACT OF SALIVA ON HEALTH: AN OVERVIEW

INTRODUCTION Saliva is an aqueous fluid of the oral cavity used as a potential diagnostic tool over the last decade due to its simple and non-invasive accessibility along with its important abundance of biomarkers, such as genetic material and proteins. It has been suggested that detection of early systemic and oral disease is not only necessary to reduce disease severity and prevent complications, but also captious to increase success rate of therapy, Moreover, salivary-based diagnostic techniques can possibly allow screening of an entire population for a specific disease at the right time. The method of Saliva collection methods and biomarkers need to be standardized and validated. It is expected that the advent of specific and sensitive salivary diagnostic tools and the establishment of defined guidelines will make salivary diagnostics a reality in the near future for the detection and confirmation of systemic and oral diseases. [1]
EXPERIMENTAL MODELS AND INSTRUMENTAL SURVEYS FOR RISK ASSESSMENT IN HYGIENE AND EPIDEMIOLOGY

Our research object was nanodisperse manganese oxide synthesized at Mn and MnO4 ions interaction when nano-reactors, namely bromide cetyltrimethylammonium micelles, were present but they didn't become a part of an end product. We applied scanning electronic microscopy, X-ray phase analysis, dynamic laser light scattering, Brunauer, Emmeth, Taylor and Barret, and Joyner and Halenda techniques to confirm that the synthesized substance was a nanomaterial with particles sections having a needle form and being equal to mostly 13–29 nanometers (95.6 % of the total particles number). Acute inhalation toxicity was assessed in conformity with the procedures stated in “OECD Guidelines for the Testing of Chemicals, Section 4: Health Effects, Acute Inhalation Toxicity – Acute Toxic Class Method” (OECD, Test No 436:2008, IDT); it revealed that synthesized nanodisperse manganese oxide had acute toxicity when it was inhaled as an aerosol. CL50 under 4-hours exposure which male and female Wistar rats with body weight being equal to 190 ± 10 grams had to undergo was 120 mg/m. Acute intoxication had the following clinical picture: irritating and neurotoxic effects, and respiratory depression. As per CL50 criterion (>50–500) mg/m the tested substance is of the 2nd hazard degree (in accordance with the Globally Harmonized System of Classification and Labelling of Chemicals (GHS) and of the 1st hazard degree (according to the State Standard 12.1.007.76. Classification and general safety requirements). The obtained inhalation toxicity parameters which nanodisperse manganese oxide has prove the substance can exert hazardous impacts on workers' health when they are exposed to it at the work places or on population health; they also call for safety precautions development.
Image Password Based Authentication in an Android System

: Authentication is one the most important security primitive. Generally authentication performed using textual passwords. Textual passwords are vulnerable to eaves dropping, dictionary attacks, social engineering and shoulder surfing. Graphical passwords are introduced as alternative techniques to textual passwords. Most of the graphical schemes are vulnerable to shoulder surfing. To address this problem, images can be combined with colors to generate session passwords for authentication. This is the most important feature of image password; the password is set through a set of multiple images. Purpose of implementing image password based authentication for an android mobile system is only because of today’s market covered by Smartphone, especially android smart phones. So that securing such smart phones is one the major task of today’s generation. Alphanumerical passwords are not able to protect Smartphone as compared to graphical password. Here, we propose graphical password authentication system for android mobiles.
Developing Intercultural Communication Competencies Using Various Learning Methods at a Media Communications Study Programme

Various previous researchers of journalism and media communication education demonstrated the necessity and importance for media workers to be competent in intercultural communication (IC). Slovenian researchers do not discuss these topics, and IC themes are withal mostly part of a non- obligatory courses where usual teaching and learning methods are applied. To examine the effectiveness and usefulness of different teaching/learning methods in developing students’ intercultural communication competencies, an educational intervention research was suitable, as the method is being useful mostly to solve pragmatic issues. Additionally, the study aimed at determining outgoing students’ intercultural communication competencies (ICC) – knowledge, skills, attitudes, and awareness through their cognitive, affective and behavioural dimensions. Two theoretical approaches were used – one stating that ICC are developed by learning on the ground of our innate predispositions and character and the behavioural perspective. This qualitative-evaluative research was conducted within the International and Intercultural Communication course at the first year of Graduate Study of Media Communications at the University of Maribor. It was a trilingual intercultural situation where learning activities such as role-playing, pantomime, case studies, simulations, individual exploration, and reflection were implemented, since students were not used to them. Participatory observation, semi-structured interviews, qualitative questionnaires, evaluation of class activities and a final exam were used as main research methods. Even though the group adapted very soon, the nonverbal activities were most demanding, and individual activities at home the least accomplished. Although they had theoretical knowledge, experience in public speaking, proactivity and self-reflection skills at basic level, their abstract thinking skills, self-awareness and adaptation were medium. However, they showed a great deal of persistence and creativity as a part of a collaborative and cooperative activities. Therefore, focusing on the learning activities stimulating students’ ICC as a part of a real intercultural situation in journalism and mass communication (JMC) education is recommended.