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Introducing convex layers to the Traveling Salesman Problem

In this paper, we will propose convex layers to the Traveling Salesman Problem (TSP). Firstly, we will focus on human performance on the TSP. Experimental data shows that untrained humans appear to have the ability to perform well in the TSP. On the other hand, experimental data also supports the hypothesis of convex hull i.e. human relies on convex hull to search for the optimal tour for the TSP. Secondly, from the paper published by Bonabeau, Dorigo and Theraulaz, social insect behavior would be able to help in some of the optimizing problems, especially the TSP. Thus, we propose convex layers to the TSP based on the argument that, by the analogy to the social insect behavior, untrained humans' cognition should be able to help in the TSP. Lastly, we will use Tour Improvement algorithms on convex layers to search for an optimal tour for a 13-cities problem to demonstrate the idea.

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Applying convex layers, nearest neighbor and triangle inequality to the Traveling Salesman Problem (TSP)

The author would like to propose a simple but yet effective method, convex layers, nearest neighbor and triangle inequality, to approach the Traveling Salesman Problem (TSP). No computer is needed in this method. This method is designed for plain folks who faced the TSP everyday but do not have the sophisticated knowledge of computer science, programming language or applied mathematics. The author also hopes that it would give some insights to researchers who are interested in the TSP.

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Optimal tree for Genetic Algorithms in the Traveling Salesman Problem (TSP)

In this paper, the author proposes optimal tree as a "gauge" for the generation of the initial population at random in the Genetic Algorithms (GA) to benchmark against the good and the bad parent tours. Thus, without having the so-called bad parent tours in the initiate population, it will speed up the GA. The characteristics of the gauge (algorithm, complexity time, trade-off, etc.) will be discussed in this paper as well.

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Noise based logic: why noise? A comparative study of the necessity of randomness out of orthogonality

Although noise-based logic shows potential advantages of reduced power dissipation and the ability of large parallel operations with low hardware and time complexity the question still persist: is randomness really needed out of orthogonality? In this Letter, after some general thermodynamical considerations, we show relevant examples where we compare the computational complexity of logic systems based on orthogonal noise and sinusoidal signals, respectively. The conclusion is that in certain special-purpose applications noise-based logic is exponentially better than its sinusoidal version: its computational complexity can be exponentially smaller to perform the same task.

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Cloud Computing For Microfinances

Evolution of Science and Engineering has led to the growth of several commercial applications. The wide spread implementation of commercial based applications has in turn directed the emergence of advanced technologies such as cloud computing. India has well proven itself as a potential hub for advanced technologies including cloud based industrial market. Microfinance system has emerged out as a panacea to Indian economy since the population encompasses of people who come under poverty and below poverty index. However, one of the key challenges in successful operation of microfinance system in India has given rise to integration of financial services using sophisticated cloud computing model. This paper, therefore propose a fundamental cloud-based microfinance model in order to reduce high transaction risks involved during microfinance operations in an inexpensive and efficient manner.

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Teaching Chemistry in a Social Learning Environment: Facing Drivers and Barriers

The Portuguese Technological Plan for Education (TPE) was established to modernize schools and to consolidate the role of Information and Communication Technologies (ICT) in order to promote the academic success of students and allow schools to be transformed into technological enriched environments through a significant learning and knowledge building in a participatory, collaborative and sharing logic. With this work we aimed to establish dynamical interactions students-content- teacher in order to overcome a diagnosed students' lack of effort towards studying curriculum chemistry content. Our methodology design is a theoretical and descriptive one, carried out in a secondary school during the 2009/2010 school year, in order to answer the question "How to improve the engagement of K-12 students in chemistry classes?". Students, gathered in small groups were asked to create digital learning resources (DLR) during classes. The teacher assumed the role of the supervisor, coacher and facilitator of every task that had to be taken or chosen by the students. To enhance interaction student-student and student-teacher, a Twitter account and a Ning site were created for the class. Both supported the Social Learning Environment (SLE) that was intended to be created. The data collected led us to satisfactory results in what concerns the goals of the study. The affordances and constraints of SLE as an open architecture that has potential to facilitate collaborative learning are delineated. Future work should focus on mechanisms that allow assessment both of the methodology used and the students' generated content in order to improve students' learning in this environment.

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Towards Fuzzy-Hard Clustering Mapping Processes

Although the validation step can appear crucial in the case of clustering adopting fuzzy approaches, the problem of the partition validity obtained by those adopting the hard ones was not tackled. To cure this problem, we propose in this paper fuzzy-hard mapping processes of clustering while benefitting from those adopting the fuzzy case. These mapping processes concern: (1) local and global clustering evaluation measures: the first for the detection of the "worst" clusters to merging or splitting them. The second relates to the evaluation of the obtained partition for each iteration, (2) merging and splitting processes taking into account the proposed measures, and (3) automatic clustering algorithms implementing these new concepts.

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SaVi: satellite constellation visualization

SaVi, a program for visualizing satellite orbits, movement, and coverage, is maintained at the University of Surrey. This tool has been used for research in academic papers, and by industry companies designing and intending to deploy satellite constellations. It has also proven useful for demonstrating aspects of satellite constellations and their geometry, coverage and movement for educational and teaching purposes. SaVi is introduced and described briefly here.

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Improving Customer Service in Healthcare with CRM 2.0

The Healthcare industry is undergoing a paradigm shift from healthcare institution-centred care to a citizen-centred care that emphasises on continuity of care from prevention to rehabilitation. The recent development of Information and Communication Technology (ICT), especially the Internet and its related technologies has become the main driver of the paradigm shift. Managing relationship with customers (patients) is becoming more important in the new paradigm. The paper discusses Customer Relationship Management (CRM) in healthcare and proposes a Social CRM or CRM 2.0 model to take advantage of the multi-way relationships created by Web 2.0 and its widespread use in improving customer services for mutual benefits between healthcare providers and their customers.

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E-Health Initiative and Customer's Expectation: Case Brunei

This paper is to determine the dimension of e-health services in Brunei Darussalam (Brunei) from customers' perspective. It is to identify, understand, analyze and evaluate public's expectation on e-health in Brunei. A questionnaire was designed to gather quantitative and qualitative data to survey patients, patient's family, and health practitioners at hospitals, clinics, or home care centers in Brunei starting from February to March, 2011. A 25-item Likert-type survey instrument was specifically developed for this study and administered to a sample of 366 patients. The data were analyzed to provide initial ideas and recommendation to policy makers on how to move forward with the e-health initiative as a mean to improve healthcare services. The survey revealed that there exists a high demand and expectation from people in Brunei to have better healthcare services accessible through an e-health system in order to improve health literacy as well as quality and efficiency of healthcare. Regardless of the limitations of the survey, the general public has responded with a great support for the capabilities of an e-health system listed from the questionnaires. The results of the survey provide a solid foundation for our on going research project to proceed further to develop a model of e-health and subsequently develop a system prototype that incorporate expectations from the people.

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Stimulus and correlation matching measurement technique in computer based characterization testing

Constructive theory of characterization test is considered. The theory is applicable to a nano devices characterization: current-voltage, Auger current dependence. Generally small response of device under test on an applied stimulus is masked by an unknown deterministic background and a random noise. Characterization test in this signal corruption scenario should be based on correlation measurement technique of device response on applied optimal stimulus with optimal reference signal. Co-synthesis solution of stimulus and reference signal is proposed.

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Towards the Solution of Power Dissipation in Electronics Systems through Thermodynamics

Power loss in the electronic system is a very crucial limiting factor that can be reduced or minimized with the help of using the reversible logics "a concept came from Thermodynamics". In this paper the authors shows the concept of reversible logics for the Electronics system. The logical and physical designing approach is given in the paper in detail. The contradiction of logical and physical reversibility with the conventional CMOS designing is also shows and the solution of that contradiction is also proposed by the authors using adiabatic logic. This Paper gives a complete and clear idea if the thermodynamical concept for the electronics industries for power reduction.

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Specification and Verification of Uplink Framework for Application of Software Engineering using RM-ODP

This paper present a survey and discussion of the Reference Model for Open Distributed Processing (RM-ODP) viewpoints; oriented approaches to requirements engineering viewpoint and a presentation of new work in the application wireless mobile phone, this area which has been designed with practical application using the Unified Modelling Language (UML)/VHDL_AMS (VHSIC Hardware Description Language Analog and Mixed-Signal). We mainly focus on rising and fulling time, action, uplink behaviour constraints (sequentiality, non determinism and concurrency constraints).We discuss the practical problems of introducing viewpoint; oriented requirements engineering into industrial software engineering practice and why these have prevented the widespread use of existing approaches. The goal of this article is to check the uplink path using the MIC (Microphone amplifier) with all analog inputs, and check the amplifier gain. This paper provides an example of using the Uplink Framework to build a comprehensive, good solution for Application Wireless Mobile Phone. Finally, we discuss how well this approach addresses some outstanding problems in requirements engineering (RE) and the practical industrial problems of introducing new requirements engineering methods.

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Traductor Writing System Web

A compilator is a program which is development in a programming language that read a file known as source. After this file have to translate and have to convert in other program known as object or to generate a exit. The best way for to know any programming language is analizing a compilation process which is same in all programming paradigm existents. To like to generate a tool that permit a learning in university course. This course could explain in any plataform such as Linux o Windows. This goal is posible through development a Web aplication which is unite with a compilator, it is Traductor Writing System (Sistema de Escritura de Traductores). This system is complete and permit extend and modify the compilator. The system is a module in Moodle which is a Course Management System (CMS) that help teachers for to create comunities of learning in line. This software is in free software license (GPL).

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The impact of pharmacybernetic in reducing medication error

Doctors and Pharmacists play a foremost role in safe, effective use of medication in health care. Still, there is no database available through which Doctor can communicate with all field of pharmacy such as hospital Pharmacy, Clinical Pharmacy, Community Pharmacy, Nutrition Pharmacy and Drug research center so that they would like to cooperate with pharmacists in Medication error prevention, Drug-Disease management, Nutrition management, and pharmacotherapy. The authors examined the comprehensive project of implementing Electronic Drug Information Record (EDIR), introduce the new term Pharmacybernetic and how to reduce the medication error by integrated management system (IMS). This paper presented EDIR conceptual model and the flow sheet of the Pharmacybernetic system, which describes the integration of different Pharmaceutical related aspect in the field of Cybernetic.

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Factors affecting acceptance of web-based training system: Using extended UTAUT and structural equation modeling

Advancement in information system leads organizations to apply e-learning system to train their employees in order to enhance its performance. In this respect, applying web based training will enable the organization to train their employees quickly, efficiently and effectively anywhere at any time. This research aims to extend Unified Theory of Acceptance and Use Technology (UTAUT) using some factors such flexibility of web based training system, system interactivity and system enjoyment, in order to explain the employees' intention to use web based training system. A total of 290 employees have participated in this study. The findings of the study revealed that performance expectancy, facilitating conditions, social influence and system flexibility have direct effect on the employees' intention to use web based training system, while effort expectancy, system enjoyment and system interactivity have indirect effect on employees' intention to use the system.

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Dynamic Grouping of Web Users Based on Their Web Access Patterns using ART1 Neural Network Clustering Algorithm

In this paper, we propose ART1 neural network clustering algorithm to group users according to their Web access patterns. We compare the quality of clustering of our ART1 based clustering technique with that of the K-Means and SOM clustering algorithms in terms of inter-cluster and intra-cluster distances. The results show the average inter-cluster distance of ART1 is high compared to K-Means and SOM when there are fewer clusters. As the number of clusters increases, average inter-cluster distance of ART1 is low compared to K-Means and SOM which indicates the high quality of clusters formed by our approach.

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A Greedy Double Swap Heuristic for Nurse Scheduling

One of the key challenges of nurse scheduling problem (NSP) is the number of constraints placed on preparing the timetable, both from the regulatory requirements as well as the patients' demand for the appropriate nursing care specialists. In addition, the preferences of the nursing staffs related to their work schedules add another dimension of complexity. Most solutions proposed for solving nurse scheduling involve the use of mathematical programming and generally considers only the hard constraints. However, the psychological needs of the nurses are ignored and this resulted in subsequent interventions by the nursing staffs to remedy any deficiency and often results in last minute changes to the schedule. In this paper, we present a staff preference optimization framework which is solved with a greedy double swap heuristic. The heuristic yields good performance in speed at solving the problem. The heuristic is simple and we will demonstrate its performance by implementing it on open source spreadsheet software.

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