bluuebunny/crossref_metadata_2025 huggingface dataset:
Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing
Authors: Sodenkamp Mariya , Hopf Konstantin , Staake Thorsten
Published: January 2015

Smart electricity meters allow capturing consumption load profiles of residential buildings. Besides several other applications, the retrieved data renders it possible to reveal household characteristics including the number of persons per apartment, age of the dwelling, etc., which helps to develop targeted energy conservation services. The goal of this chapter is to develop further related methods of smart meter data analytics that infer such household characteristics using weekly load curves. The contribution of this chapter to the state of the art is threefold. The authors first quadruplicate the number of defined features that describe electricity load curves to preserve relevant structures for classification. Then, they suggest feature filtering techniques to reduce the dimension of the input to a set of a few significant ones. Finally, the authors redefine class labels for some properties. As a result, the classification accuracy is elevated up to 82%, while the runtime complexity is significantly reduced.
Procedural Modeling in 3D GIS Environment
Authors: Tsiliakou Eva , Labropoulos Tassos , Dimopoulou Efi
Published: January 2015

3D space registration and visualization has become an imperative need in order to optimally reflect all complex cases of rapid urbanization of property rights and restrictions. Besides, current technological advances as well as the availability of sophisticated software packages (proprietary or open source) call for 3D modeling especially in the GIS domain. Within this context, GIS community's present demands concerning the third dimension are discussed, while a variety of 3D modeling techniques is presented, with special emphasis on procedural modeling. Procedural modeling refers to a variety of techniques for the algorithmic generation of detailed 3D models and composite facade textures from sets of rules which are called grammars. In this paper procedural modeling is employed via CityEngine software focusing on the 3D visualization of the National Technical University of Athens (NTUA) campus' three-dimensional model, rendering a higher detail on the School of Rural and Surveying Engineering (SRSE). This algorithmic modeling concept is based on the principle that all real world buildings are defined by rules, since repetitive patterns and hierarchical components describe their geometry. The detailed geometries of the model derived from the application of CGA (Computer Generated Architecture) shape grammars on selected footprints, and the process resulted in a final 3D model, optimally describing the built environment and proved to be a good practice example of 3D visualization.
Scalable Multi-Platform Distribution of Spatial 3D Contents
Authors: Klimke Jan , Hagedorn Benjamin , Döllner Jürgen
Published: January 2015

Virtual 3D city models provide powerful user interfaces for communication of 2D and 3D geoinformation. Providing high quality visualization of massive 3D geoinformation in a scalable, fast, and cost efficient manner is still a challenging task. Especially for mobile and web-based system environments, software and hardware configurations of target systems differ significantly. This makes it hard to provide fast, visually appealing renderings of 3D data throughout a variety of platforms and devices. Current mobile or web-based solutions for 3D visualization usually require raw 3D scene data such as triangle meshes together with textures delivered from server to client, what makes them strongly limited in terms of size and complexity of the models they can handle. This paper introduces a new approach for provisioning of massive, virtual 3D city models on different platforms namely web browsers, smartphones or tablets, by means of an interactive map assembled from artificial oblique image tiles. The key concept is to synthesize such images of a virtual 3D city model by a 3D rendering service in a preprocessing step. This service encapsulates model handling and 3D rendering techniques for high quality visualization of massive 3D models. By generating image tiles using this service, the 3D rendering process is shifted from the client side, which provides major advantages: (a) The complexity of the 3D city model data is decoupled from data transfer complexity (b) the implementation of client applications is simplified significantly as 3D rendering is encapsulated on server side (c) 3D city models can be easily deployed for and used by a large number of concurrent users, leading to a high degree of scalability of the overall approach. All core 3D rendering techniques are performed on a dedicated 3D rendering server, and thin-client applications can be compactly implemented for various devices and platforms.
Modelling the Spatial Distribution of the Anopheles Mosquito for Malaria Risk Zoning Using Remote Sensing and GIS
Authors: Ohemeng Francis Danquah , Mukherjee Falguni
Published: January 2015

Remote Sensing and Geographic Information System was used to develop a spatial risk malaria distribution model based on environmental suitability for survival of the Anopheles gambie sp. Complex (A. arabiensis and A. gambae), the vector known to transmit malaria in Zimbabwe (Masendu, 1996). Employing geostatistical techniques, spatial analysis of environmental factors that contribute to the spread of the malaria vector was conducted to develop a malaria risk model that could be used in effective malaria control planning in Zimbabwe. The study was conducted in the Piriwiri, Umfuli and Magondi communal lands of Zimbabwe. A model was developed that defined malaria hot spots in the communal lands where attention must be given in developing plans and strategies for malaria control. Environmental data collected from satellite images and validated by fieldwork were used in the study. Based on expert knowledge, specific environmental factors favourable for Anopheles malaria vector were identified. This information was then used to predict the suitability of the area for the Anopheles mosquito using Indicator Kriging Algorithm (Isaacs et al., 1989). This method calculated the probability of exceeding an environmental indicator threshold (this allowed the prediction that a particular area (location) in the communal lands is suitable for the survival and spread of the Anopheles) and integrated them into a potential vector distribution model for the area. This model was used to determine areas that are potentially risky for malaria. Again the spatial distribution of malaria was calculated, based on clinical malaria data and accessibility to the clinics, and compared with the potential vector distribution zones to determine areas with high malaria risk. Except a few areas in Umfuli that were highly favourable for the Anopheles mosquito, most of the communal lands were not suitable for anopheles to survive indicating that malaria incidences are generally associated with highly favourable areas for the vector. Combining GIS and remote sensing applications with geostatistical analysis is a promising approach to define malaria risk areas in Zimbabwe. However, further quantitative research is necessary to validate the relationships within the malaria transmission system, especially on the vector and the human environment aspects.
Combining Transportation Network Models with Kernel Density Methods to Measure the Relative Spatial Accessibility of Pediatric Primary Care Services in Jefferson County, Kentucky
Authors: Nieves Jeremiah J.
Published: January 2015

When considering access to healthcare, the question of whether the provider is available and accessible must be answered before the question of cost. Most contemporary techniques of estimating the spatial accessibility of healthcare cannot simultaneously take into account transportation times and the spatially distributed service capacity of healthcare providers. This paper creates the Comprehensive Spatial Accessibility Rank (CSAR) model to calculate a relative estimate of spatial accessibility that can account for both public and private transportation and the spatial distribution of a service provider's capacity for service in relation to the distribution of a study area's population. It uses data for Jefferson County, Kentucky to show how the CSAR model could be used to identify possible disparities in accessing pediatric primary healthcare services. The CSAR model is able to detect relative disparities between defined subpopulations and or geographic regions, allowing for the comparison of the effects of physical infrastructure in access.
Alternative Methods for Developing and Assessing the Accuracy of UAV-Derived DEMs
Authors: Wiseman Dion J. , van der Sluijs Jurjen
Published: January 2015

Digital terrain models are invaluable datasets that are frequently used for visualizing, modeling, and analyzing Earth surface processes. Accurate models covering local scale landscape features are often very expensive and have poor temporal resolution. This research investigates the utility of UAV acquired imagery for generating high resolution terrain models and provides a detailed accuracy assessment according to recommended protocols. High resolution UAV imagery was acquired over a localized dune complex in southwestern Manitoba, Canada and two alternative workflows were evaluated for extracting point clouds. UAV-derived data points were then compared to reference data sets acquired using mapping grade GPS receivers and a total station. Results indicated that the UAV imagery was capable of producing dense point clouds and high resolution terrain models with mean errors as low as -0.15 m and RMSE values of 0.42 m depending on the resolution of the image dataset and workflow employed.
Review and Implications of the AutoCarto Six Retrospective Project
Authors: Wellar Barry
Published: January 2015

A previous IJAGR paper, using the Retrospective Approach to Commemorate AutoCarto Six (Wellar, 2014), presented the reasons for using a retrospective approach to re-visit papers that were published 30 years ago (1983) in the proceedings of the Sixth International Symposium on Automated Cartography. This paper addresses four important topics that arise from producing AutoCarto Six Retrospective. First, in response to requests for more information about the “retro experience”, the research design of the retrospective project is reviewed in terms of lessons learned. Second, the contribution that the retrospective approach makes to “the literature” on the evolution of automated cartography, geographic information systems, computational geography, and related fields is explored. Third, several implications of the retrospective approach for the literature search and review component of theses, dissertations, academic productions, and research proposals, as well as plan, program, and policy evaluation processes in both the private and public sectors are outlined. And fourth, comments are made about applying the AutoCarto Six Retrospective experience to other commemorative events.
Consumer Choice and Aggregate Demand
Authors: Roozmand Omid , Webster DG
Published: January 2015

Satisficing behavior is one of the most important subjects in consumer behavior studies. Satisficing consumers select any affordable bundle of items with utility larger than their satisfaction threshold. This contrasts to maximizing behavior, where the consumer selects the bundle of items with the highest possible utility within his or her budget constraint. Authors hypothesize that, all else equal, satisficers will purchase more goods overall when compared with maximizers. Furthermore, satisficers will also purchase more disposable rather than durable goods because they are less concerned with maximizing the total value of their purchases. To test these hypotheses, an agent-based model of consumer behavior has been developed that allows for decision making based on either satisficing or maximizing rules. Satisficer agents use a modified genetic algorithm to find a satisficing bundle. Maximizer agents apply dynamic programming to find the best bundle of items. The aggregated results of consumer agents' purchases support aforementioned hypotheses when consumers select from three types of products: 1) cheap disposable, 2) cheap durable, and 3) expensive durable. The hypotheses also hold when a more realistic set of items is constructed based on the common economic assumption that supply curves are upward sloping. In this latter case, consumers choose bundles from a total of 5 types of items, each of which differs in price, quality, and durability.
Discovering and Evaluating Workflow Organizational Patterns from Events Log
Authors: Abdelkafi Mahdi , Chtourou Wassim , Bouzguenda Lotfi
Published: January 2015

This paper contributes to address an important issue in Workflow mining: organizational patterns mining issue. First, it reveals a critical and comparative study of three representative Workflow mining systems (InWolve, WorkflowMiner and ProM). The major drawback of these systems is their inability to deal with organizational patterns mining. This work considers organizational patterns as being social structures defining the activity distribution among actors involved in the Workflow, as well as the interaction protocols ruling the communications between them. To compensate the previous drawback, the paper proposes an agent based approach that includes an Events Log model integrating the interactions among actors using a performative-based enrichment of Events Log. This paper also gives the principles of organizational patterns mining and shows how evaluate the quality of discovered patterns and notably the organizational structures in terms of flexibility, efficiency and robustness. Finally, it describes DiscoopFlow that implements a crisis case study to validate the contributions.
Applications of Intelligent Agents in Mobile Commerce
Authors: Sankaranarayanan Suresh , Ganesan Subramaniam
Published: January 2015

Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. We believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.
In-Game Culture Affects Learners' Use of Vocabulary Learning Strategies in Massively Multiplayer Online Role-Playing Games
Authors: Bytheway Julie
Published: January 2015

Millions of language learners use commercial off-the-shelf computer games as informal learning contexts. Massively multiplayer online role-playing games (MMORPGs) are rich meaningful vocabulary learning contexts with in-game cultures that encourage creativity, decrease anxiety, force interaction, demand cooperative and autonomous learning, increase motivation, and reward curiosity. This case-study of World of Warcraft® players examined how the in-game culture affected participants' use of vocabulary learning strategies. Using research processes inherent in Grounded Theory, rich data was collected from extant MMORPG texts and observations of, interviews with, and elicited texts from a criterion sample of six ESL experienced gamers. Through constant comparative analysis, patterns and strategies emerged. Gu's (2005) model of vocabulary learning strategies in contexts was adapted to suit digital game contexts. The results highlight the need to value how the MMORPG culture affects language learners' vocabulary learning strategies and argue for study into autonomous language learning in commercial off-the-shelf digital games.
Technology-Mediated L2 Strategy Instruction and Its Potential to Enhance Evaluation and Research
Authors: Ranalli Jim
Published: January 2015

This paper discusses the potential of technology-mediated forms of L2 strategy instruction (SI) to not only facilitate SI but to enhance evaluation of SI interventions and L2 strategy research more generally. It uses results from a recent empirical study to show how computer-based forms of SI may offer remedies for problematic features of evaluation, including access to process data showing how learners actually perform strategy-related tasks, the timing and frequency of collection of learner perception data, and most importantly, data about task perception and metacognitive monitoring, which can position L2 strategies within frameworks for self-regulated learning. The underlying premise of this article is the need to revitalize the field of L2 learner strategies with new methods for evaluation and research that can better capture the complex nature of L2 strategy use.
Evaluating the Degree of Trust Under Context Sensitive Relational Database Hierarchy Using Hybrid Intelligent Approach
Authors: Sarkar Manash , Banerjee Soumya , Hassanien Aboul Ella
Published: January 2015

Trust is a binary value either 0 or 1which is not measurable in real application. An entity can either trust another entity completely or do not trust at all. Trust between different entities in generalization-specialization relational model in database varies with respect to adjacent level of hierarchy. Trust value among entities depends not only on hierarchy level but also the context in which entities belong. In this paper the authors propose a model that allows evaluating trust relationships between two entities in the same context. Basically the trust depends on parameters like knowledge, experience and recommendation. In real application it is not always possible to have prior knowledge about mentioned entities. Extending this theory, it is shown that how the trust relationships is evaluated between different entities in different contexts of specialization level. As the trust represents uncertainty therefore, fuzzy logic is used to overcome the concept of binary value for trust. Considering the dynamic attributes of an entity based system, an appropriate agent based methodology could be incorporated. This paper introduced a model called FACO based on Fuzzy logic and Ant colony to calculate both the trust and the updated trust value among entities.
Performance Analysis of Hard and Soft Clustering Approaches For Gene Expression Data
Authors: Banu P. K. Nizar , Andrews S.
Published: January 2015

Mining gene expression data is growing rapidly to predict gene expression patterns and assist clinicians in early diagnosis of tumor formation. Clustering gene expression data is the most important phase, helps in finding group of genes that are highly expressed and suppressed. This paper analyses the performance of most representative hard and soft off-line clustering algorithms: K-Means, Fuzzy C-Means, Self Organizing Maps (SOM) based clustering and Genetic Algorithm (GA) based clustering for brain tumor gene expression dataset. Clusters produced by the clustering algorithms are the indications of the cellular processes. Clustering results are evaluated using clustering indices such as Xie-Beni index (XB), Davies-Bouldin index (DB), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and Dunn's Index (DI) along with the time taken to find the compactness and separation of clusters. Experimental results prove soft clustering approaches works well to predict clusters of highly expressed and suppressed genes.
Hybrid TRS-FA Clustering Approach for Web2.0 Social Tagging System
Authors: Inbarani H Hannah , Kumar S Selva
Published: January 2015

Social tagging is one of the vital attributes of WEB2.0. The challenge of Web 2.0 is a gigantic measure of information created over a brief time. Tags are broadly used to interpret and arrange the web 2.0 assets. Tag clustering is the procedure of grouping the comparable tags into clusters. The tag clustering is extremely valuable for researching and organizing the web2. 0 resources furthermore critical for the achievement of Social Bookmarking frameworks. In this paper, the authors proposed a hybrid Tolerance Rough Set Based Firefly (TRS-Firefly-K-Means) clustering algorithm for clustering tags in social systems. At that stage, the proposed system is contrasted with the benchmark algorithm K-Means clustering and Particle Swarm optimization (PSO) based Clustering technique. The experimental analysis outlines the viability of the suggested methodology.
The Effects of the State of Union Address of USA Presidents to Their Performance Ratings
Authors: Lee Carl
Published: January 2015

In this article, the authors conduct a case study using text mining technique to analyze the patterns of the president's State of the Union Address in USA, and investigate the effects of these speech patterns on their performance rating in the following year. The speeches analyzed include the recent four USA presidents, Bush (1989 – 1992), Clinton (1993 - 2000), G.W. Bush (2001 – 2008), and Obama (2009 – 2011). The patterns found are further integrated and merged with over 4000 surveys on the presidents' performance ratings from 1989 to 2010. Two text mining methodology are applied to study the text patterns. Two predictive modeling techniques are applied to study the effects of these found patterns to their presidential approval ratings. The results indicate that the speech patterns found are highly associated with their approval rates.
Virtual Agent as a User Interface for Home Network System
Authors: Horiuchi Hiroyasu , Saiki Sachio , Matsumoto Shinsuke , Namamura Masahide
Published: January 2015

In order to achieve intuitive and easy operations for home network system (HNS), the authors have previously proposed user interface with virtual agent (called HNS virtual agent user interface, HNS-VAUI). The HNS-VAUI was implemented with MMDAgent toolkit. A user can operate appliances and services interactively through dialog with a virtual agent in a screen. However, the previous prototype heavily depends on MMDAgent, which causes a tight coupling between HNS operations and agent behaviors, and poor capability of using external information.To cope with the problem, this paper proposes a service-oriented framework that allows the HNS-VAUI to provide richer interaction. Specifically, the authors decompose the tightly-coupled system into two separate services: MMC Service and MSM service. The MMC service concentrates on controlling detailed behaviors of a virtual agent, whereas the MSM service defines logic of HNS operations and dialog with the agent with richer state machines. The two services are loosely coupled to enable more flexible and sophisticated dialog in the HNS-VAUI. The proposed framework is implemented in a real HNS environment. The authors also conduct a case study with practical service scenarios, to demonstrate effectiveness of the proposed framework.
A Platform for Analyzing Behaviors of Service-Oriented Application Based on the Probabilistic Model Checking
Authors: Kai Jinyu , Miao Huaikou , Zhao Kun , Zhou Jiaan , Gao Honghao
Published: January 2015

Service oriented software systems running in a highly open, dynamic and unpredictable Internet environment are inevitable to face all kinds of uncertainty. To monitor the operation of the web services system behavior analysis and analysis whether the system behavior is consistent with the requirements is the basis to determine whether the system needs to be reconfigured. In this paper, an analytical platform for the behavior of a web service-oriented system based on the probabilistic model checking is introduced which provides the basis for judging whether a system needs to be reconfigured by applying the approach of probabilistic model checking to verify whether the behavior system model is satisfied requirement properties. This platform is implemented in Java language and using the dot tool that the Graphviz provides and the PRISM model checker to construct the behavior model of the web service-oriented system based on web log files, to view and edit behavior models visually, and to convert the model from one form to another to make it convenience for users to use the model checker PRISM. Finally, we can judge whether the model is satisfied the desired requirements according to the verification result.
An Integrated RFOS Model for Risk Assessment on Real Time Operating System
Authors: Patra Prashant Kumar , Pradhan Padma Lochan
Published: January 2015

The preventive control is the one of the best and well advanced control in all aspects of day to day life. The prevention afforded to an automated system control system in order to attain the highest applicable objectives of preserving the confidentiality, integrity and high availability of information system resources (including hardware, system software, firmware, processor, memory and data).The risk assessment is the process of identifying vulnerabilities and threats to operating system resources to achieving highest business objectives and deciding what counter measures to take in reducing the lowest level of risk. The proposed RFOS model and mechanism provides accountability for individuals who are accessing sensitive information on application, system software, server and network. This accountability is accomplished through access control mechanisms that require Confidentiality, Integrity, Authentication, Access control, Non repudiation, Availability and Privacy through operating system audit function. We have to develop the dynamic RFOS model for risk optimization process on operating system. This paper contributes to the development of an optimization mechanism that aims to determine the optimal cost to be invested into security model and mechanisms deciding on the measure component of operating system resources (i.e. Processor, Memory, File System, Kernel). Furthermore, this algebraic model and mechanism optimize the cost, time and resources is supposed to optimize the system risks. The control is inversely proportional to the risk and control is directly proportional to the standard. In this research paper, we are proposing integrated, hierarchical and dynamic way of Relation, Function, Operation and Services Model for optimizing the risk on the real time operating system. Preventive Control is inversely proportional to the Risk and directly proportional to the Quality.
A BPR Approach for e-Governance in Public Transportation
Authors: Bharti Ajay Kumar , Dwivedi Sanjay K.
Published: January 2015

Information is one of the important entities to affect the decision making, therefore effective and efficient management of information in bureaucratic, strategic planning and decision making will affect the governance process. e-Governance is a panacea for all the problems in government or public sector, public transportation is not the exception too. The public transportation sector has to manage the information, resources, people and process in an effective and efficient manner using information and communication technology to provide effective and efficient services to their commuters. In this paper we discusses about the need of BPR in public transportation, their steps for implementation followed by recommendations and its expected benefits. The paper also elaborates our analytical and foresight based strategic model for e-Governance in the public transportation sector in India. Based on the case study and the issues in the public transportation a set of recommendations for service delivery in the public transportation sector. Following these recommendations sector will be able to deliver integrated and quality services to their citizens of India using National e-Governance Plan (NeGP) service delivery model.
Tx-FAITH
Authors: Rajaram Kanchana , Babu Chitra , Adiththan Arun
Published: January 2015

A key challenge in B2B and B2C applications involving dynamic composition of workflow activities is to ensure their reliable execution, in view of frequent failures in the internet environment where a composed service is executed. Existing approaches for transactional coordination of composite web services, consider forward and backward recovery alone, in order to maintain consistency in the case of failures. However, while achieving reliable execution, service cancellability is important due to the predominance of long running processes in business applications and frequently changing user requirements and business policies. If the execution of a long running process is not cancelled in the case of a changed requirement, the completion of the process results in wastage of resources and the outcome may no longer be useful. Hence, a transactional coordination framework named as Tx-FAITH is proposed to handle the cancellation recovery under the external interruption and cancellation of transactions. Tx-FAITH considers hierarchically composed web services whose components are recursively nested to form a composition and adapts a coordination approach based on context information. The proposed coordination and recovery approach when tested with 200 simultaneous users and with a database size of 0.35 million records, incurs only 10 seconds to process a request.
Redundancy-Based Reliability Enhancement for Composite Services
Authors: Wang Zhongjie , Wang Shaopeng , Chu Dianhui , Xu Xiaofei
Published: January 2015

Reliability is a key performance indicator of distributed service systems. On the condition that a customer raises a demand with a very strict reliability, it is possibly difficult for a service broker to offer a composite service that fully satisfies the reliability expectation. In the real world, the customers would like to pay extra money to assure the successful execution of a composite service, and the brokers usually adopt a redundancy-based mechanism to enhance the reliability of the composite service. The authors consider two scenarios of reliability enhancement: (1) a composite service exists but its reliability fails to meet the expectations of customers; and (2) no composite services exist yet, but it is known that the expected reliability is too high to be met. To handle them, the authors propose the RE-ECS and RE-PLN algorithms, respectively, in which three heuristic rules are proposed and the Artificial Bee Colony (ABC) algorithm are adopted to find an approximate optimal trade-off between the improvement extent and the total cost of the reliability enhancement. The authors use two traditional redundancy strategies (i.e., sequential and parallel) for enhancing the reliability a single service task, and a new redundancy strategy called path redundancy for extending a new path into a composite service to improve the global reliability. Nine experiments are conducted and some factors having potential influences on the effect, cost, and efficiency of the reliability enhancement are analyzed. This work is of significance for service brokers to build and enhance their composite services to satisfy those strict expectations on reliability.
Efficiently Compositing and Optimizing the Quality of Heterogeneous Services
Authors: Chen Hanhua , Jin Hai
Published: January 2015

The emerging service-oriented computing bring various services together to a ‘market' for clients to request, enabling the integration of services across the distributed, heterogeneous, and wide area networks. By encapsulating diverse implementations of physical and software resources in the interface that standardizes the functions, loosely coupled services have show great potential to support a versatile integration platform for complex applications. Existing techniques can successfully support integrating services from different providers to provide applications with more complex user requirements. However, to automatically composite services with guaranteed QoS is not trivial. In this paper, the authors propose Q-SAC, a QoS optimized service automatic composition model. Two main features of Q-SAC include automatic service composition, and multidimensional QoS optimization for the composition plan. The authors show that the problem of Q-SAC QoS optimization is NP-hard, and design a heuristic simulated annealing algorithm. Through simulation the authors show that this design is practical and efficient.
Time is the most Important Resource for Increasing Construction Efficiency
Authors: Panibratov Yury , Larionov Arkady
Published: January 2015

Time is presented as a special category of resource in the investment and construction process influencing directly or indirectly the final economic results of this type of activity. The main emphasis is placed by the authors in the course of justifying their approach on giving consideration in the context of this publication to such parameters as the service live of the ready construction product; investments payback period; duration of object construction; intensity of investment in time; labor productivity, etc. Proceeding from the revealed time losses between designing and construction; preparation to construction and its beginning; inter-shift and whole-shift downtime due to unsatisfactory production discipline; failures to meet the production resources delivery dates; disturbed plans of performing works, a conclusion has been made on the fact that solution of each of the foregoing tasks is the direct time saving and one of the main trends for increasing economic effectiveness of construction. It has been justified that the intensity of investing in time shall grow from a minimum at the initial stage to a maximum at the final stage.
Scheduling of Cottage Settlement Building
Authors: Junussov Bahyt , Morozova Tatyana
Published: January 2015

In this paper, the analysis of the general tendencies of line building of cottage settlement is carried out by houses. The analysis of domestic and foreign development showed that many questions connected with formation of schedules of building of objects of settlement and calculation of parameters of works taking into account restriction on resources at development of local plans of settlement by houses, now finally aren't solved.As practice of construction of settlement shows further improvement of a technique of scheduling of building of settlement by houses has to go on an alternative basis and a choice among them the most effective on economic indicators because of modern computer technologies. The calculation procedure and optimization of options of the line organization of construction of houses because of modern computer technologies is offered.The technique of a technical and economic assessment of optimizing solutions of cottage building is offered. In this paper data on application to the developed technique for scheduling of construction of houses of settlement. The developed techniques can find application when developing projects of the organization of mass building of cottage settlement by houses.
Clustering of City Housing Facilities Based on Self-Organizing Maps
Authors: Simankina Tatiana , Popova Olga
Published: January 2015

The algorithm for clustering based on neural network modeling using T. Kohonen's self-organizing maps for the analysis of the housing stock is considered. This analysis of housing stock is required for the planning of complex reproduction of housing and major repairs regional programs development. The mechanism of self-organization is submitted. The representative sample clustering of the housing stock is produced. Its result is 16 groups of objects with a high level of internal similarity. The basic advantages of this approach for monitoring and analysis of the city housing stock are described.
Formation of the Architecture of Developing Business Centers in Special Economic Zones with the Use of the Bio-Similar Modeling Principle
Authors: Bantserova Olga L. , Kosta Anton
Published: January 2015

A method for architectural design of developing business centers in industrial production special economic zones with the use of the parent module and three types of structural-and-planning modules is offered. This method is based on the biological principle of growth and development of living organisms.
Decentralization as a Cause of Spatial Segregation
Authors: Alihodzic Jasarovic Ema , Komatina Dragan , Paunovic Zaric Sanja , Murgul Vera , Vatin Nikolay
Published: January 2015

The city is a complex, constant and incomplete process. Dynamic changes in the demographic and spatial growth of the modern city, affect its functional organization. Consequently, cities with the specific expansion both vertically and horizontally, change the urban concept over the time. In this regard, the paper will highlight the problem of spatial segregation and alienation of the population which is the idea of a functional city, as it continues to exist through the concept of polycentric cities. This was a clear message that the rationality of the organization of the city did not offer good results. This principle of urbanism is characterized as a new form of organizing the social differences and creation of segregation, contrary to the idea of urbanism that turns the city into a single homogeneous entity eliminating differences. Along with the aforesaid, the neoliberal globalization process, emphasizing the hierarchical divisions, deepens and inaugurates a new concept of the divided city. Due to the extreme inequalities, the town itself produces a new urbanism that is reflected in the significant spatial divisions and forms of behavior in cities. Socio-economic polarization and inequality pollute the space giving birth to a new idea of a city. The city becomes a complex process and structure that is imprisoned in the model of duality between conflicting social spaces. All this implies an unbreakable bond between the divided society and the divided city.
Houses New Live Build from 50s till 60s in Saint-Petersburg
Authors: Ryabykh Valeria , Grushko Ivan , Gorbovskaya Alla
Published: January 2015

Due to the predicted change of plans on a renovation in St. Petersburg, a question of possibility of reconstruction of shabby housing arose. Actually, it has been actual for many years since "Khrushchev’s" houses were expected to operate for a short period but people continue to live in them.
Daylight Factor Analysis for Different Types of Static Shading Devices: Case Study Location in Podgorica
Authors: Komatina Dragan , Paunovic Zaric Sanja , Alihodzic Jasarovic Ema , Murgul Vera , Vatin Nikolay
Published: January 2015

Daylight analysis as a tool for energy efficiency enhancement in existing buildings is considered in this paper. Through the analysis of five types of exterior static shading devices, horizontal, as well as, vertical, the guidelines for their designing, implementation and possibilities in using of building repairing are given. Also, methods for evaluation of their impact on distribution of daily illumination, viewpoint towards the environment and thermal comfort in general are presented. In the case study, the building of Agency for Electronic Communications and Postal Services in Podgorica, Montenegro, and sophisticated software tools that enable impact analysis and precise designing of exterior static shading devices are considered. The results are presented through the examples.
Renovation of Multi-Apartment Building in Latvia
Authors: Borodinecs Anatolijs , Zemitis Jurgis , Zajacs Aleksandrs , Nazarova Jekaterina
Published: January 2015

Residential buildings in Latvia are one of the essential heat consumers during the heating season. The majority of Latvian as well as European residential buildings were constructed within the period from 1965 to 1990. The average heat transfer coefficient of typical homogeneous single layer external wall of Latvian multi apartment building as well as all buildings constructed in USSR is 0.80 till 1.20W/(m2∙K) [1,2]. Paper presents study on multi apartment buildings renovation specifics in Latvia and its influence in total energy consumption.
Origin-Destination Matrix as a Way to Create a Basic Algorithm for Simulation a Load of Transport Network
Authors: Shevtsova Anastasiya , Yablonovskaya Marina , Borovskoy Alexey
Published: January 2015

Article is devoted to studying of traffic flows using the origin-destination matrix. The first paragraph of this article deals with the possibility of applying the origin-destination matrix when modeling load of transport network. The types of transportations, the factors that affect the loading of the transport network are described. The concept of a generalized path cost, interdistrict transportations and some others are considered. There are proposed several steps to create a origin-destination matrix. In the second paragraph of the paper is proposed the classification of mathematical models that can be applied in the simulation of traffic flow, as well as their features are marked. This will help in the processing of data for selection of a mathematical model that satisfies the requirements and objectives that have set themselves researchers. The conclusions on the application of mathematical models in the study of traffic flow are made.
About the Dynamic Model Formation of the Urban Livelihood System Compatible with the Biosphere
Authors: Ilyichev Vyacheslav , Kolchunov Vitaliy , Emelyanov Sergey , Bakaeva Natalia
Published: January 2015

Here is presented an approach to the simulation of complex in its multicomponent structure for implementing the functions of city activity. The approach is based on the paradigm of the city compatibility with the Biosphere and phrased on the principles of its self-organization. A conceptual model of the urban livelihood system in the form of a multicomponent natural and technogenic structure is also described. A mathematical model of an open dynamic compatible with the Biosphere urban livelihood system with the choice of the governing parameters for management is developed.
Constitutive Relationships of Concrete and Reinforcing Steel under High Temperatures
Authors: Fedorov Viktor , Levitskiy Valeriy
Published: January 2015

It is given stress-strain relationships of concrete and reinforcing deformation under high temperatures. These graphs show material features of deformation, look compact and require least defined parameters.
Assessment of Certainty of Ventilation Processes Mathematical Modeling
Authors: Daciuk Tamara , Ulyasheva Vera
Published: January 2015

Numerical experiment has been successfully used during recent 10-15 years to solve a wide range of thermal and hydrogasodynamic tasks. Application of mathematical modeling used to design the ventilation systems for production premises characterized by heat emission may be considered to be an effective method to obtain reasonable solutions. Results of calculation performed with numerical solution of ventilation tasks depend on turbulence model selection. Currently a large number of different turbulence models used to calculate turbulent flows are known. Testing and definition of applicability limits for semiempirical models of turbulence should be considered to be a preliminary stage of calculation. This article presents results of test calculations pertaining to thermal air process modeling in premises characterized by presence of heat emission sources performed with employment of different models of turbulence. Besides, analysis of calculation results and comparison with field measurements data are presented.
Comparison of Air Conditioning Systems for Advanced Data Centers
Authors: Aver’yanova Olesya , Voronkova Viktoria , Demchenko Viktoria , Kudaibergenova Nailya , Solobay Anna
Published: January 2015

Considering nowadays growth of electronic data, the necessity of major data centers establishment is also increasing. Such centers may contain data distribution, storing and processing systems, like servers. The equipment generates huge heat energy, so an appropriate microclimate is required in such premises. High capacity air conditioners are used for maintaining of appropriate parameters and assuring normal functioning of these systems. Herein you can find comparison analysis of central and precision air conditioning systems considering two parameters: cost and energy efficiency for the central regions of the Russian Federation. During such comparison analysis the most cost-efficient and ergonomic air conditioning system was revealed for the Data Center Berzarina, Moscow.
Numerical Flows Recovery Analysis for Trunkline Failures
Authors: Seleznev Vadim , Komissarov Aleksey , Pryalov Sergey
Published: January 2015

The article describes numerical method of physical gas flow parameters recovery at accidents investigation, which are conditioned by guillotine rupture of a segment in gas trunkline and distribution pipeline systems. The information about full-scale measurements of time dependences of gas flow parameters at defined points inside pipelines system and at its boundaries is the base for recovery implementation at numerical investigation of accidents. Numerical recovery is carried out by defining and solving a special identification problem.
Characteristic Property of Adsorption Cleaning of Recirculated Air for Heat Chambers for Electric Testing of Electronic Devices
Authors: Kobelev Nikolay , Polivanova Tatiana , Akul’shin Alexander , Kretova Valeria , Kobelev Vladimir
Published: January 2015

A scientifically proven energy-saving unit for keeping up of recirculated air rated parameters in specialized "clean" premises has been developed. The novelty of the design solution is covered by RF patent of invention.
Inspecting and Monitoring the Technical Condition of Sewage Collectors
Authors: Vasilyev Victor , Stolbikhin Yuri
Published: January 2015

The article considers malfunctions in operation of sewage collectors and their causes. A system is presented for forecasting the critical technical condition of the sewage system pipeline. An example is supplied of using a measuring complex on operating sewage facilities of St Petersburg.
Innovative Environment Friendly Refurbishment Technologies for Water Supply and Sewage Systems of Sugar Factories
Authors: Polivanova Tatiana , Polivanova Svetlana , Kobelev Nikolay , Akul’shin Alexander , Kobelev Vladimir
Published: January 2015

Advanced technologies are the most efficient means of reducing environment burden in the location of sugar factories. They include extensive use of recirculation systems minimizing wastewater effluents together with the modernization of production equipment and processes. Expansion of water recycling is a significant stage in the development of zero-discharge sugar production process, which makes it a good contributor into water resource protection.