Load Balancing in Cloud Computing

Cloud computing is one of the top trending technologies which primarily focuses on the end user’s use cases. The service provider needs to provide services to many clients. These increasing number of requests from the clients are giving rise to the new inventions in the load scheduling algorithms. There are different scheduling algorithms which are already present in the cloud computing, and some of them includes the Shortest Job First (SJF), First Come First Serve (FCFS), Round Robin (RR) etc. Though there are different parameters to consider when load balancing in cloud computing, makespan (time difference between start time of first task and finish of last task on the same machine) and response time are the most important parameters. This research surveys different load balancing algorithms and aims to improve the SJF load balancing algorithm in cloud computing. In this project, a Modified Shortest Job First (MSJF) and Generalized Priority (GP) load scheduling algorithms are combined to reduce the makespan and optimize the resource utilization. Together, MSJF and GP sends the longest task having high MIPS (million instructions per second) requirements to the machine with a high processing power and the shortest task having low MIPS requirements to the machine with a low processing power. Hence, neither the task with the lowest MIPS requirements nor the task with the highest MIPS requirements needs to wait for a very long time for resource allocation. Every task gets fair priority. Results are shown for SJF, MSJF, and GP in order to compare the different number of tasks using cloud simulator

WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM

The main aim of the course advising system is to build a course recommendation path for students to help them plan courses to successfully graduate on time. The recommendation path displays the list of courses a student can take in each quarter from the first quarter after admission until the graduation quarter. The courses are filtered as per the student’s interest obtained from a questionnaire asked to the student. The business logic involves building the recommendation algorithm. Also, the application is functionality-tested end-to-end by using nightwatch.js which is built on top of node.js. Test cases are written for every module and implemented while building the application

Dielectric relaxation of the ionic liquid 1-ethyl-3-methylimidazolium ethyl sulfate: microwave and far-IR properties

Dielectric relaxation of the ionic liquid, 1-ethyl-3-methylimidazolium ethyl sulfate (EMI+ETS–), is studied using molecular dynamics (MD) simulations. The collective dynamics of polarization arising from cations and anions are examined. Characteristics of the rovibrational and translational components of polarization dynamics are analyzed to understand their respective roles in the microwave and terahertz regions of dielectric relaxation. The MD results are compared with the experimental low-frequency spectrum of EMI+ETS–, obtained via ultrafast optical Kerr effect (OKE) measurements

Removal of Confined Ionic Liquid from a Metal Organic Framework by Extraction with Molecular Solvents

This work was supported in part by NSF Grant No. CHE-1223988 and by EPSRC Grant No. EP/K00090X/1.Peer reviewedPostprin

Patient Satisfaction with Substance Use Disorder Rehabilitation Services

Background: Patient satisfaction is considered as an important indicator in the evaluation of healthcare quality across an array of treatments and services. It is deemed vital especially in the field of substance use disorder (SUD) research due to an increased emphasis on understanding patients’ perceptions regarding their treatment and the attributes that drive their progress towards recovery. Despite the potential value, gaps have been recognized in the exploration of these satisfaction-related assessments among patients undergoing SUD treatment in residential rehabilitative settings. Thus, there is a need for understanding the dimensions contributing to satisfaction which would facilitate the development of a tool tailored to assist SUD treatment in residential rehabilitative services. Objectives: The purpose of this study was to (1) assess dimensions of patient satisfaction relevant to SUD rehabilitation, and (2) develop a comprehensive disease-specific instrument to assess satisfaction among patients with SUD. Methods: The study was conducted in two phases at the Salvation Army Harbor Light Center, an inpatient drug and alcohol rehabilitation center in Pittsburgh, PA. The first phase included semi-structured qualitative interviews. A total of 18 participants (14 patients and four clinical staff) were recruited using convenience sampling, with recruitment initiated by advertisement within the facility. A systematic literature review formed the basis of the semi-structured interviews by providing information regarding critical characteristics of patient satisfaction that were employed in the development of the interview guide. Inclusion criteria included adult male patients with a history of SUD who were enrolled in the program for at least two weeks and support/counseling staff currently employed at the facility involved in the care of these individuals. Directed content analysis with non-statistical relational analysis of the interview data was undertaken by three raters utilizing a precisely constructed codebook to identify dimensions relevant to patient satisfaction and conceptualize relations among the identified themes. The second phase of the study consisted of development and pilot testing of a standardized patient satisfaction questionnaire. The results of the qualitative analysis were applied in the conception of items for the questionnaire tool. The questionnaire was then assessed for face validity and suggestions elicited from the clinical staff were incorporated in the questionnaire. The tool was pilot-tested in a sample of 17 patients seeking treatment for SUD at the facility for at least two weeks. Descriptive statistics, item reliability and bivariate correlations across items in the pilot data were analyzed using SPSS Statistics 25 (Armonk, NY). Results: The content analysis of the interview transcripts resulted in the emergence of five prominent themes: (1) counselor (skill); (2) programmatic structure (adhering); (3) skill development (personal responsibility); (4) comparison to other programs; and (5) case management facilitation. For the pilot test, the average age of men was 49.06 years with a mean length of stay of five weeks. The majority of men were previously engaged in the use of alcohol (n=8, 47%), crack cocaine (n=2, 11.7%), or multiple substances (n=4, 23.5%) as their drug(s) of choice. The men primarily reported being satisfied with the program along with depicting high levels of satisfaction with skills demonstrated by the counselors and making progress in building their own skills. The overall reliability of the instrument was 0.869. Items within the counselor scale, skills scale, and the program scale demonstrated moderate to high correlations with each other; however, the preference scale showed negative inter-item correlations. Conclusion: The study provided valuable insights regarding the underlying characteristics of patient satisfaction that were efficiently incorporated to guide the instrument development process. The pilot test results demonstrate that the instrument successfully assessed patient satisfaction in a residential rehabilitative setting. With further exploration and establishment of convergent validity, this instrument can serve as a significant evaluator in substance abuse research arena

Computer Based System for Sleep Detection of Driver

Driver drowsiness represents an important risk on the roads. It is one of the main factors leading to accidents or near-missed accidents. So there is a need to develop a system to detect drowsiness of a driver so that the risk of accidents due to drowsiness can be reduced. The Computer Based System to Detect Sleep of a Driver includes the process for detecting the drowsiness of a driver. It detects driver drowsiness and progressively warns the driver, so that he/she can either correct the behavior or stop driving .Video of the driver is taken as input to the system from this video frames are extracted. Then each extracted frame is processed by the system. First of all, blurring of image is done. Then RGB to HSV conversion of image is done. After conversion of image to HSV color format thresholding is applied. Head movement of driver is tracked through camera and offset is set. If head movement offset is greater than set offset value drowsiness of driver is detected and alarm is generated. DOI: 10.17762/ijritcc2321-8169.15030

Implementation of Slicing for Multiple Column Multiple Attributes Privacy Preserving Data Publishing

Latest work shows that abstraction loses amount of information for high spatial data. There are several anonymization techniques like Abstraction, Containerization for privacy preserving small data publishing. Bucketization does not avoid enrollment acknowledgment and does not give clear separation between aspects. We are presenting a technique called slicing for multiple columns multiple attributes which partitions the data both horizontally and vertically. We also show that slicing conserves better data service than generalization and bucketization and can be used for enrollment acknowledgment conservation. Slicing can be used for aspect acknowledgment conservation and establishing an efficient algorithm for computing the sliced data that obey the l-diversity requirement Our workload confirm that this technique is used to prevent membership disclosure and it also used to increase the data utility and privacy of a sliced dataset by allowing multiple column multiple attributes slicing while maintaining the prevention of membership disclosure. DOI: 10.17762/ijritcc2321-8169.150615

DEVELOPMENT OF UV-SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF IMATINIB MESYLATE (ITM) IN BULK AND FORMULATION

A simple and precise spectroscopic method for determination of Imatinib Mesylate in its bulk and tablet dosage forms has been developed and validated. This method  based upon measurement of light absorption in UV region. The UV spectra of Imatinib Mesylate showed that maximum absorbance of light was observed at 281 nm and linearity was observed in the concentration range of 2-28ug/ml with correlation coefficient 0.999. The proposed method was validated as per ICH Q2 (R1) guidelines for linearity, accuracy, precision and recovery. The limit of detection (LOD) and limit of quantitation (LOQ) were found to be 0.040468 (μg/ml) and 0.122263 (μg/ml) respectively by simple UV Spectroscopy