Centric Model Research Articles

Strategic Management of Educational Institutions Enabling Transformation to Excellent Education Innovative Centers in India

Over the last two decades, India has transformed it’s higher education hub which has led to widespread access to low cost high quality university education for students of all levels. With well-planned expansion and a student -centric learning-driven model of application with highly competent faculty, Mangalore has over taken other mega cities and is climbing the ladder of success in imparting world class education. With the number of private universities on the rise, there is a need to have a distinct strategic objective which will enable the universities to build on their strengths and cater across different categories of educational needs. With the effective use of technologies, educational institution will be able to resolve the long-standing tension between excellence and equality. Strategic management of educational institutions enables the transformation of institutions to practice educational innovations. To achieve this goal there is a need to undertake large scale reforms to better faculty-student ratios by making teaching and attractive career path, expanding capacity for doctoral students at research universities and delinking educational qualifications from teaching eligibility.

Leukocyte count, systemic inflammation, and health status in older adults: a narrative review

Epidemiological and clinical studies suggest that elevated leukocyte count within the normal range can predict cardiovascular and total mortality in older adults. These findings are remarkable because this simple and common laboratory test is included in routine medical check-ups. It is well known that chronic systemic inflammation (inflammaging) is one of the hallmarks of aging and an important component of obesity-associated insulin resistance that can lead to type 2 diabetes and other health problems in both overweight individuals and elderly people. To understand the molecular mechanisms linking increased systemic inflammation with aging-associated diseases and elevated leukocyte counts in the elderly is to unravel the multiplicity of molecular factors and mechanisms involved in chronic low-grade systemic inflammation, the gradual accumulation of random molecular damage, age-related diseases, and the process of leukopoiesis. There are several possible mechanisms through which chronic low-grade systemic inflammation is associated with both higher leukocyte count and a greater risk of aging-associated conditions in older adults. For example, the IL-6 centric model predicts that this biomediator is involved in chronic systemic inflammation and leukopoiesis, thereby suggesting that elevated leukocyte count is a signal of poor health in older adults. Alternatively, an increase in neutrophil and monocyte counts can be a direct cause of cardiovascular events in the elderly. Interestingly, some authors assert that the predictive ability of elevated leukocyte counts with regard to cardiovascular and allcause mortality among older adults surpass the predictive value of total cholesterol. This review reports the recent findings on the links between elevated but normal leukocyte counts and the increased risks of all-cause, cardiovascular, and cancer mortality. The possible molecular mechanisms linking higher but normal leukocyte counts with increased risk of aging-associated diseases in the elderly are discussed here.

Current Trends in Software as a Service (SaaS)

Software as a service (SaaS) is one type of the cloud computing that has gained more popularity in the world. It is a way of delivering the software through the internet to its end users. Then users can use it through subscriptions from vendors. Users have to pay only for what they use. SaaS architecture is a very high level model which is based on Application Service Provider (ASP) concept and Service Oriented Architecture. Currently many organizations are using SaaS as it is a service centric model and it uses technologies like multi-tenant architecture which in turn provides the users with many desired set of features. SaaS also have some security challenges which can be classified under data, application and deployment of SaaS architecture. Furthermore there are many emerging trends in SaaSwhich are focused on full filling advanced customer demands. This research study is evaluating the current trends, approaches and applications of SAAS.

Досвід побудови системи ISTAR в АТО, особливості впровадження та перепони на шляху до підвищення бойової ефективності вогневих підрозділів

The article gives an example of the construction and integration of the ISTAR system in the network centric model of forces command and control in the modern military conflict. The achieved result due to the implementation of the system ISTAR shows the possibility of improving the efficiency of military units by means of applying of standard procedures developed in the armies of the leading countries of the world. This example is urgent in the context of the inevitable changes in the approach to the command and control and the necessity of increasing the combat efficiency of Ukrainian units in the current military aggression.

Client Centric Model for Secure Session Management for SAAS in Cloud Environment

Now days Cloud computing is playing major role in IT Sector in terms of reducing expenditure and also playing major part in earning revenue but security and privacy issues making clients in doubt of adapting Cloud environment. Since cloud environment is new which contains three parties (i.e., Cloud service user, Cloud service provider/Cloud user, Cloud provider) the way of protecting the users private information will be different which may not be same as in older web application environments. For this reason, we propose in this paper that at the time of Service Level Agreement (SLA) provider provides online registered Software Component (SC) to be installed at the consumer (Client side) as add-on or as a software component as part of Browser (runtime component) which will have an unique-id and will be activated by the provider at the time of installation of component at client side over SSL protocol. The ID of the component is generated by an Application key or an enterprise key. When the client sends data (user-id, password, message) every time it is encrypted by SC along with ID by using Encryption scheme. So by using this mechanism we propose some of the solutions in this paper to session management and attacks at the client side in Cloud computing environment (SaaS).

Privacy in transformational government (T-Government): Investigation of citizen’s privacy preferences and perceptions

Transformational government (t-government) was initiated in 2006 in the UK as part of a broader ranging public sector reform agenda. Three main perspectives of t-government feature citizen centricity, shared service culture and professionalism as enablers of integrated citizen-customer feedback for policy development and the reengineering of public services by using Information Society Technologies (IST). These initiatives have seen as an effort of upholding democracy process in giving citizen’s their right to address their needs. Protecting citizen’s information privacy and security is one of the essential components in the citizen centric model. In addition, the development of a privacy policy for t-government needs to feature citizen opinion and expressed preferences on sensitive information.

A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly

Micro Devices Assembly (MDA) is an emerging domain involving the assembly of micron sized objects and devices. In this paper, the focus is the design of an IoT based Cyber Physical approach for the assembly of micro devices. An advanced IoT based framework comprising of integrated cyber and physical components has been developed to accomplish a targeted set of MDA life cycle activities which include assembly planning, Virtual Reality (VR) based assembly analysis, command generation and physical assembly. Advanced VR based environments using semi-immersive and fully immersive technologies (including Oculus Rift based platforms) have been designed to support assembly analysis where plans can be proposed, compared and validated. An information centric modeling approach is proposed to help design the data/information exchange among the various cyber and physical components and provide a structured foundation to design such complex IoT based approaches and frameworks.

Incremental Innovation towards Business Performance: Data Management Challenges in Healthcare Industry in Indonesia

The Industry 4.0 indicate the increases in competitive pressures, the margins reduction, the availability of new technology and the marketing development techniques suggest making more complex decisions to make and sustain the success. Data management is essential for organizations because the administrative process, which data is acquired, validated, stored, protected and processed through its accessibility, reliability and timeliness ensures that the needs of data are met. It is also a process of developing data architectures, practices and procedures that address the data and then implement these aspects on a regular basis. All these process will ease and smoothen the business flow. Therefore, there are number of data management challenges to maintain sheer volume of data, taking reactive approach, lack of process and data handling, fragmented data ownership and driving a data culture. This study investigate the current issues in health industry to overcome through recognizing both the importance of quality data and having more sophisticated approach to manage data as the organization begin shifting to be more data centric model.

MODELS FOR ENERGY EFFICIENCY IMPROVEMENT BY USING MOBILE TECHNOLOGIES AND Internet of things

A b s t r a c t: As the telecom industry is looking for new opportunities to improve its commercial potential by introduction 5G technology, energy industry is rising as potential area for deployment of smart Internet of Things (IoT) solutions and information and communication technology (ICT). Following the recent achievements in digitalization of energy industry, smart phones and mobile application, smart metering, data analytics and artificial intelligence popularity, as well as the human decision-making and behavior based on purely rational choice, we are proposing the consumer centric model for energy efficiency. The model is considering the current communication network features, Wi-Fi and 4G/5G networks and a possibility to influence the consumer behavior in residential segment (households) and achieve reasonable energy savings. Following this model adapted to the Macedonian energy and telecom market specifics, we are estimating that the investment risk versus the potential energy reduction is worth to be further considered by deployment of the proposed system architecture.

An advanced simulator for orthopedic surgical training.

The purpose of creating the virtual reality (VR) simulator is to facilitate and supplement the training opportunities provided to orthopedic residents. The use of VR simulators has increased rapidly in the field of medical surgery for training purposes. This paper discusses the creation of the virtual surgical environment (VSE) for training residents in an orthopedic surgical process called less invasive stabilization system (LISS) surgery which is used to address fractures of the femur. The overall methodology included first obtaining an understanding of the LISS plating process through interactions with expert orthopedic surgeons and developing the information centric models. The information centric models provided a structured basis to design and build the simulator. Subsequently, the haptic-based simulator was built. Finally, the learning assessments were conducted in a medical school. The results from the learning assessments confirm the effectiveness of the VSE for teaching medical residents and students. The scope of the assessment was to ensure (1) the correctness and (2) the usefulness of the VSE. Out of 37 residents/students who participated in the test, 32 showed improvements in their understanding of the LISS plating surgical process. A majority of participants were satisfied with the use of teaching Avatars and haptic technology. A paired t test was conducted to test the statistical significance of the assessment data which showed that the data were statistically significant. This paper demonstrates the usefulness of adopting information centric modeling approach in the design and development of the simulator. The assessment results underscore the potential of using VR-based simulators in medical education especially in orthopedic surgery.

Estimating wetland insecurity index for Chatra wetland adjacent English Bazar Municipality of West Bengal

Charta wetland adjacent to the English Bazar Municipality is considered as the kidney of this urban area. In last 25 years, 43% of total wetland area is urbanized and this trend still continues. This paper aims to compute wetland insecurity index based on 11 selected natural (five) and man induced parameters (six) at multi-temporal scale (1990, 2010 and 2017). Weighted linear combination method is used for preparing wetland insecurity indices (natural, man-induced and integrated parameters specific) in Arc GIS (v-9.3) environment. Result clearly exhibited that man-induced parameters are more crucial for bringing greater north eastern wetland fringe area under high insecurity. Highly insecure wetland covers 6.6% to total area in case of man-induced parameters based spatial model is recorded in 2017 superseded previous phases. In case of natural parameter centric wetland insecurity model, no such highly insecure zone is found. Total 20.17, 33.23 and 72.18 ha areas are appeared as highly insecure wetland area for integrated wetland insecurity models for 1990, 2010 and 2017 respectively indicating increasing spatial extent. Built up area, population density, sedimentation seasonal drying out of the parts of wetland are appeared as major reason behind growing wetland insecurity in Chatra wetland.

Lightweight Sharable and Traceable Secure Mobile Health System

Mobile health (mHealth) has emerged as a new patient centric model which allows real-time collection of patient data via wearable sensors, aggregation and encryption of these data at mobile devices, and then uploading the encrypted data to the cloud for storage and access by healthcare staff and researchers. However, efficient and scalable sharing of encrypted data has been a very challenging problem. In this paper, we propose a Lightweight Sharable and Traceable (LiST) secure mobile health system in which patient data are encrypted end-to-end from a patient's mobile device to data users. LiST enables efficient keyword search and fine-grained access control of encrypted data, supports tracing of traitors who sell their search and access privileges for monetary gain, and allows on-demand user revocation. LiST is lightweight in the sense that it offloads most of the heavy cryptographic computations to the cloud while only lightweight operations are performed at the end user devices. We formally define the security of LiST and prove that it is secure without random oracle. We also conduct extensive experiments to access the system's performance.

Patient Reported Measures: Delivering Outcomes and Experiences that matter to patients in NSW

Introduction : The NSW Ministry of Health acknowledged delivering truly Integrated Care as a clear direction for the future delivery of healthcare in NSW. The Agency for Clinical Innovation (ACI) is responsible for leading the development and implementation of Patient Reported Measures (PRMs). PRMs is a critical component to achieving the NSW Health vision for Integrated Care focusing on transforming how we deliver care to improve health outcomes and experiences for patients and reduce costs derived from inappropriate and fragmented care, across hospital and primary care services. Short description of practice change implemented : ACI partnered with ten proof of concept sites across NSW, inclusive of consumers, clinicians and managers across Local Health Districts and Primary Healthcare. The program has been co-designed, tested, refined and implemented with significant input and advice from clinicians and consumers. The program is inclusive of Patient Reported Outcome Measures (PROM) and Patient Reported Experience Measures (PREM) Aim and theory of change : The Patient Reported Measures (PRMs) program aims to Enable patients to provide direct, timely feedback about their health related outcomes and experiences to drive improvement and integration of health care across NSW’ Whilst clinicians may have collected PRMs in the past across NSW, we know that the routine collection and use of PRMs for routine clinical care, improving health outcomes and driving service improvement is greenfields in NSW. It is often not consistent for numerous reasons including limited knowledge around access to information and support in beginning the process, IT systems and cultural barriers. Targeted population and stakeholders : Patients living with a chronic or complex condition across NSW. All administrative, clinical and managerial staff across Hospitals and Primary healthcare in NSW Timeline : Officially launched in October 2015, the program commenced collecting measures in January 2016 implementing PRMs as business as usual and will be formally evaluated in early 2017 to determine sustainability and scalability across the health system to drive improved health outcomes and service improvement. Highlights : The PRM program is designed to meet local patient cohorts, clinical and operational flow processes and their setting- incorporating PRMs as business as usual. The PRM program has developed a capability development program for all staff involved with the PRM program. The program is accredited through the Royal Australian College for General Practitioners (RACGP) – meaning GPs receive Quality Improvement points for participating. We are currently working with other accrediting organisations. Conclusion : Early results have identified that this is a new routine practice and way of working for most clinicians, managers and consumers. It has been a large cultural and behavioural to move towards a more customer centric model, away from the transactional (medicinal) model. Where the program has been modelled in the proof of concept sites there is early adoption of collecting and using PRMs routinely, this will be discussed during the presentation.

A collaboration centric approach for building the semantic knowledge network for knowledge advantage machine

Knowledge advantage machine (KaM) is an advanced system for knowledge exploitation. In this paper, we propose a Collaboration Centric Behavior Model, which helps one or more knowledge-workers to discover and link useful knowledge objects dubbed JANs into a semantic knowledge network. The JAN is constructed as a semantic web service to semantically present three categories of service behavior: expected service behavior that presents what requestor expects it to serve; actual service behavior that presents how it offers its service; and quality evaluation that presents whether its service behavior is consistent with requestor’s expectation by checking conformance. On the basis of the KaM architecture, we build a process model to implement to discovery a JAN and link different JANs as a personal knowledge network or a group knowledge network. This is illustrated using an academic research scenario. Experimental results show that the proposed method is feasible and effective.

Geometrical study of phyllotactic patterns by Bernoulli spiral lattices.

Geometrical studies of phyllotactic patterns deal with the centric or cylindrical models produced by ideal lattices. van Iterson (Mathematische und mikroskopisch - anatomische Studien über Blattstellungen nebst Betrachtungen über den Schalenbau der Miliolinen, Verlag von Gustav Fischer, Jena, 1907) suggested a centric model representing ideal phyllotactic patterns as disk packings of Bernoulli spiral lattices and presented a phase diagram now called Van Iterson's diagram explaining the bifurcation processes of their combinatorial structures. Geometrical properties on disk packings were shown by Rothen & Koch (J. Phys France, 50(13), 1603-1621, 1989). In contrast, as another centric model, we organized a mathematical framework of Voronoi tilings of Bernoulli spiral lattices and showed mathematically that the phase diagram of a Voronoi tiling is graph-theoretically dual to Van Iterson's diagram. This paper gives a review of two centric models for disk packings and Voronoi tilings of Bernoulli spiral lattices.

Preemptive data distribution infrastructure for data centric analysis and modelling

The next generation of tokamaks, e.g. ITER, will have extremely large data collection rates significantly larger than those experienced today in present tokamaks, with consequential new challenges in data management, data analysis and integrated modelling. One of these challenges is to ensure that appropriate data is efficiently made available when it is required and where it is consumed. Data volumes with limited network capabilities mean not all data can be distributed in time when a data-object is requested. One possible solution is to preemptively identify and distribute efficiently the data across the storage services before a user or an application requests it. Preemptive data distribution rely on analysis of historical access patterns to identify a set of rules whereby following a data-object request the most probable set of next requests can be inferred. Implementation of these rules requires the inferred sets of data to be moved close to data-object consumer. The work presented will describe the Apache Spark Machine Learning tools, the results of the analysis, and an implementation of the preemptive distribution experimental platform at CCFE, together with plans for its future integration and testing on the upcoming SAGE platform.

VoIP Call Admission Control in WLANs in Presence of Elastic Traffic

VoIP service over WLAN networks is a promising alternative to provide mobile voice communications. However, several performance problems appear due to i) heavy protocoloverheads, ii) unfairness and asymmetry between the uplink and downlink flows, and iii) the coexistence with other traffic flows. This paper addresses the performance of VoIP communications with simultaneous presence of bidirectional TCP traffic, and shows how the presence of elastic flows drastically reduces the capacity of the system. To solve this limitation a simple solution is proposed using an adaptive Admission and Rate Control algorithm which tunes the BEB (Binary Exponential Backoff) parameters. Analytical results are obtained by using an IEEE 802.11e user centric queuing model based on a bulk service M=G[1;B]=1=K queue, which is able to capture the maindynamics of the EDCA-based traffic differentiation parameters (AIFS, BEB and TXOP). The results show that the improvement achieved by our scheme on the overall VoIP performance is significant.

Graspan

There is more than a decade-long history of using static analysis to find bugs in systems such as Linux. Most of the existing static analyses developed for these systems are simple checkers that find bugs based on pattern matching. Despite the presence of many sophisticated interprocedural analyses, few of them have been employed to improve checkers for systems code due to their complex implementations and poor scalability. In this paper, we revisit the scalability problem of interprocedural static analysis from a "Big Data" perspective. That is, we turn sophisticated code analysis into Big Data analytics and leverage novel data processing techniques to solve this traditional programming language problem. We develop Graspan, a disk-based parallel graph system that uses an edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations. Moreover, we show that these analyses can be used to augment the existing checkers; these augmented checkers uncovered 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.

Graspan

There is more than a decade-long history of using static analysis to find bugs in systems such as Linux. Most of the existing static analyses developed for these systems are simple checkers that find bugs based on pattern matching. Despite the presence of many sophisticated interprocedural analyses, few of them have been employed to improve checkers for systems code due to their complex implementations and poor scalability. In this paper, we revisit the scalability problem of interprocedural static analysis from a "Big Data" perspective. That is, we turn sophisticated code analysis into Big Data analytics and leverage novel data processing techniques to solve this traditional programming language problem. We develop Graspan, a disk-based parallel graph system that uses an edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations. Moreover, we show that these analyses can be used to augment the existing checkers; these augmented checkers uncovered 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.

Graspan

There is more than a decade-long history of using static analysis to find bugs in systems such as Linux. Most of the existing static analyses developed for these systems are simple checkers that find bugs based on pattern matching. Despite the presence of many sophisticated interprocedural analyses, few of them have been employed to improve checkers for systems code due to their complex implementations and poor scalability. In this paper, we revisit the scalability problem of interprocedural static analysis from a "Big Data" perspective. That is, we turn sophisticated code analysis into Big Data analytics and leverage novel data processing techniques to solve this traditional programming language problem. We develop Graspan, a disk-based parallel graph system that uses an edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.