Sales Management Portal

Sales Management Portal is a client information tracking portal. Which client’s info contains contacts and activities, opportunities and proposals, and eventually projects. This portal has ability to add clients and search clients based on the name and prospects and can update information of contacts and activities, opportunities and proposals to the respective client. This portal has ability to display announcements message on manager\u27s screen. This portal should have a responsive design so it will adjust to diverse resolutions, making it easy for users to navigate the portal on their own devices. There are not any existing systems for client side. So all the work are handle manually and have to be noted down in some register and also taking care of that documentation. They are arranged meeting by call and if any update occurred then again the client and update meeting schedule. its wasting time and money as well and also the disturb the valuable clients

Content Security System On Cloud Based Multimedia

Multimedia computing has developed as an imperative innovation to produce, alter, and seek media substance, for example, pictures, design, video, sound, et cetera. For mixed media applications and administrations over the Internet and versatile remote systems, there are solid requests for distributed computing due to the noteworthy measure of calculation required for serving a large number of Internet or portable clients in the meantime. This paper surveys brief writing on mixed media distributed computing angles and portray a portion of the security issues in distributed computing, including information honesty, information classification, get to control, information control in the encoded information domain. The proposed framework can be utilized to secure diverse interactive media content sorts, including 2-D recordings, 3-D recordings, pictures, sound clasps, melodies, and music cuts. The framework can be conveyed on private as well as open mists. we contrasted our framework with the assurance framework utilized by YouTube and our outcomes demonstrate that the YouTube insurance framework neglects to distinguish most duplicates of 3-D recordings, while our framework recognizes more than 98% of them. This correlation demonstrates the requirement for the proposed 3-D signature strategy, since the condition of-theart business framework was not ready to handle 3-D recordings

CLINICAL ASPECT OF GUNA SIDDHANTA WITH SPECIAL REFERENCE TO TRISUTRA AYURVEDA

Ayurveda emphasises on maintaining the healthy life and curing the disease of diseased. Various Siddhantas (Principles) have been mentioned in Ayurveda Treatise. Shatpadartha is one among the Siddhantas which hold basis for Dhatusamyata (equilibrium in bodily humours). Guna (attributes) is one amongst Shatpadartha explained in classical texts, which is Nischestyaa (inactive) remains with Samvayi Sambandha (inseparable relation) in Dravya. Acharya Charaka has enlisted 41 Guna and classified them into Sartha Guna, Paradi Guna, Gurvadi Guna and Prayatnadi Guna. Trisutra Ayurveda shows marked relation with Guna Siddhanta. The concept of Guna Siddhanta forms an underlying source of principles in practice to infer the Trisutra i.e. Hetu (Etiological factors), Linga (Symptoms) and Aushada (Treatment). The present article aims to confer the clinical understanding of Guna Siddhanta based on Samhita to provide an insight by Hetu, Linga, Aushada and bring about Dhatusamyata

A Gini approach to spatial CO2 emissions

Combining global gridded population and fossil fuel based CO2 emission data at 1 km scale, we investigate the spatial origin of CO2 emissions in relation to the population distribution within countries. We depict the correlations between these two datasets by a quasi-Lorenz curve which enables us to discern the individual contributions of densely and sparsely populated regions to the national CO2 emissions. We observe pronounced country-specific characteristics and quantify them using an indicator resembling the Gini-index. As demonstrated by a robustness test, the Gini-index for each country arise from a compound distribution between the population and emissions which differs among countries. Relating these indices with the degree of socio-economic development measured by per capita Gross Domestic Product (GDP) at purchase power parity, we find a strong negative correlation between the two quantities with a Pearson correlation coefficient of -0.71. More specifically, this implies that in developing countries locations with large population tend to emit relatively more CO2, and in developed countries the opposite tends to be the case. Based on the relation to urban scaling, we discuss the implications for CO2 emissions from cities. Our results show that general statements with regard to the (in)efficiency of large cities should be avoided as it is subject to the socio-economic development of respective countries. Concerning the political relevance, our results suggest a differentiated spatial prioritization in deploying climate change mitigation measures in cities for developed and developing countries

SELECTION OF LONG LASTING REHABILITATION TREATMENT USING LIFE CYCLE COST ANALYSIS AND PRESENT SERVICEABILITY RATING

A wide range of variables influence the selection strategy for rehabilitation and maintenance of pavements. The focus of this study is to conduct a project-level evaluation of high traffic volume asphalt-surfaced pavements located in the state of Oklahoma and develop a performance based rehabilitation strategy. In order to develop feasible rehabilitation strategies, a systematic collection of relevant pavement-related data was provided by ODOT. The collected data includes performance measurements, traffic, climate and structural integrity of existing pavements obtained by falling weight deflectometer (FWD) analysis. These various data sets are supplemented with laboratory testing to determine the material characterization and damage characterization of different surface rehabilitation mixtures. The national highways located in the state of Oklahoma are divided in several pavement family groups. The representative pavement sections for family groups are identified and the required data for analysis are either extracted from existing sources or measured in the laboratory. Three levels of rehabilitation activities including light, medium and heavy rehabilitation are considered for each of the pavement family groups and a mechanistic-empirical methodology is employed to obtain an estimate of the performance of potential rehabilitation activities and their extended service life. A combination of local material properties, structural integrity and environmental condition are used for structural analysis and development of an evaluation output matrix. At the end of this study a series of time-based renewal solutions are recommended for pavement family groups with a similar existing condition and the most cost effective methodology is determined by performing life cycle cost analysis using RealCost software.Final report, November 2013-October 2015N

Dose variation due to change in planned position for patients with carcinoma of the cervix undergoing high-dose-rate brachytherapy- 2D dose analysis

Purpose: To assess the dosimetry to organs at risk (OARs) in lithotomy position with a planned time-dose pattern obtained from supine position. Methods: The sample consists of thirty patients with carcinoma of the uterine cervix, Stage II and III. Patients often feel discomfort in supine position (S position) when compared to lithotomy position (M position) due to relaxation of pelvic floor muscles after the insertion of applicator (tandem and ovoids) or before delivery of the treatment. Each patient was imaged with orthogonal X- ray radiographs simultaneously in two positions, i.e. S position and M position. Dwell time and dwell position pattern obtained from the optimized plan in S position was used to generate plan in M position. Following dose reference points (point A, pelvic wall points, bladder points, rectal, anorectum (AR point) and rectosigmoid (RS point) points) were identified for analysis in S and M positions. The dosimetric data for reference points generated by the Brachyvision TPS was analyzed.Results: Pelvic wall points registered lower doses in M position when compared to S position. Mean doses for right pelvic wall point (RPW) and left pelvic wall point (LPW) were reduced by -10.02 % and -11.5% in M position, respectively. International Commission on Radiation Units and Measurements (ICRU) bladder point also registered lower doses in M position with a mean dose of -6.8%. Rectal point showed dose reduction by mean of -6.4%. AR and RS points showed an increased dose in M position by a mean of 16.5% and 10%, respectively. Conclusion: Current dosimetry procedure serves as a model with time-dose pattern planned for S position, but delivered in M position, without dose optimization. Prioritization of comfort and position can be considered in conjunction with optimization of dose.

Countering cybersecurity threats in smart buildings using machine learning

“Smart Building technology” refers to all software and hardware that makes buildings “smarter.” Smart buildings make efficient and economical use of resources while creating a safe and comfortable environment for occupants. Buildings that are smart use resources efficiently and economically while ensuring occupants can live in a safe and comfortable environment. The Internet of Things (IoT) and sensors are the main things for smart buildings, as they capture data transmitted to the cloud. Artificial Intelligence (AI) is also essential for controlling and optimizing smart building performance. Analytical software that interprets the sensor data, a user interface, and connectivity are also necessary. All these technologies improve performance, optimize space, and use less energy by automating lighting, temperature, and security. Yet these technologies have exposed smart buildings to the threat of cyberattacks such as DoS attacks, data breaches, Session Hijacking, and false-injection attacks. Attackers can manipulate building software or hardware to cause instability or malfunction of some processes remotely or physically. Cyber Attacks on IoT devices can compromise sensitive user data. As connected IoT devices are open to other malicious activities, protecting them has become one of the biggest challenges in Cybersecurity. Hence, it is necessary to create various safety measures to protect occupants from such attacks. Cybersecurity problems in smart cities have to be addressed by first identifying the threats and Challenges to citizen privacy. Moreover, Smart buildings can suffer from door issues that result from malfunctioning door mechanisms. To address the cybersecurity threat of smart buildings, we propose a smart door system framework that identifies cyber threats in real-time and enables immediate defense against them. By using AI techniques and various types of sensors, we will recognize any threats that may exist, and we will respond to them accordingly. An intelligent home security system based on multiple sensor devices provides several advantages in providing safety and security, such as visualizing and identifying people. These technologies will keep the home secure and help provide safety and security by monitoring and recognizing people. The proposed system will have two effective techniques to provide home security. First, detecting motion at the front door in real-time, regardless of whether anyone is inside, is the first step; the second is establishing communication between the door system and a smartphone device. The main objective of the Thesis is to reduce risks by identifying possible attacks, and we aim to extend the door automation technique with artificial intelligence-based techniques to provide users with more security, ease, and comfort

Assessing the Relation between Quality and Sustainability in the Operating Room

Maintaining quality at an affordable cost has been a major challenge for many healthcare organizations. Healthcare providers are trying to address this issue while protecting the environment, meeting social responsibilities and contributing to sustainable development of systems. Instead of linking quality with just clinical outcomes, healthcare services are trying to view quality and safety as part of professional ethics or “the right thing to do.” In order to provide a framework for quality assessment in healthcare systems, the Institute of Medicine (IOM) pointed out that the system should have the following six aims: safety, effectiveness, patient-centeredness, timeliness, efficiency, and equity. Sustainability in healthcare can be defined as a balance of the needs of patients, economic concerns, and environmental costs. The concept of sustainability is defined by three main pillars: economic development, social development and environmental protection. This thesis provides an understanding regarding the causal relations between variables that lead to overall long-term sustainability of operating rooms (ORs), which will in turn help hospitals establish a framework to evaluate sustainable development. The objective of this thesis is to discuss how the variables that occur during a total knee arthroplasty (TKA) procedure can affect quality dimensions: efficiency, effectiveness, safety, patient-centeredness, timeliness and equitability, and illustrate their association with the economic, social, and environmental components of sustainability. This thesis is divided into two papers. The journal paper lists variables observed in an OR during the time of surgery and portrays the cause-effect relationship between the variables and the six quality aims for each component of sustainability by using causal loop diagrams (CLDs). Using the results obtained from the journal paper, all the variables were made into a checklist, which is discussed in the conference paper. It was validated by an expert panel consisting of a surgeon, lean and six sigma expert, and supply chain expert. Therefore, this study identified variables that affect the quality dimensions and thereby, OR sustainability. The checklist can be used to evaluate sustainability of the practices in OR

Fluoride Geochemistry and Health Hazards: A Case Study

This chapter was aimed to identify the relationship between fluoride (F) enrichment and prevalence of endemic fluorosis in a rural area of Nuzendla mandal in Guntur District, Andhra Pradesh, India. The concentration of F varies from 0.5 to 12.4 mg/L in pre-monsoon groundwater and 0.14 to 16.0 mg/L in post-monsoon groundwater in the collected and analyzed fifty water samples. Dental survey conducted in the study area based on Dean Classification Index indicated different degrees of dental fluorosis due to the varying concentrations of F in drinking water. The significant positive correlation is identified between the F content of groundwater and urine fluorosis-affected children. The F level in urine suggests that a high level of endemic fluorosis is prevalent in the Nuzendla mandal due to the consequence of a higher concentration of F in underground aquifers. This study concludes that the high concentration of F in groundwater leads to increased dental deformities among the surveyed people and also urinary F is a good indicator of community exposure F