Simulation of Microgrid with energy management system

Bhavsar, Yogesh S., Joshi, Prasad V., Akolkar, Sonali M. | Energy Systems and Applications, 2015 International Conference on (v.2015 / no.10 / pp.592-596 / 2015)

Day by day the electricity demand is increasing exponentially. To fulfill this increasing demand of electricity more and more utilization of non-conventional energy sourc

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Day by day the electricity demand is increasing exponentially. To fulfill this increasing demand of electricity more and more utilization of non-conventional energy sources are required as conventional sources are depleting. The best way to utilize the different renewable energy sources (RES) together is by using application of Microgrid. This paper illustrates the simple model of DC Microgrid with energy management system (EMS) which schedules the generation and load. The simulation model is developed in MATLAB/Simulink software containing photovoltaic array, wind turbine generator system (PMDC generator), battery storage system, grid and energy management controller. The simulation results are presented with variable load and variable generation conditions.

SQL injection: Study and augmentation

Kaur, Pankajdeep, Kour, Kanwal Preet | Signal Processing, Computing and Control (ISPCC), 2015 International Conference on (v.2015 / no.9 / pp.102-107 / 2015)

The Pervasive Adoption of the Web as an imminent means of information retrieval and other transactions, involving financial consequences like e-banking, online payment of

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The Pervasive Adoption of the Web as an imminent means of information retrieval and other transactions, involving financial consequences like e-banking, online payment of bills, e-shopping etc, have made us more and more dependent on web applications. An unauthorized access to highly sensitive data by an attacker can threaten the Confidentiality, Integrity and Authorization of data. SQL injection attacks are the most perilous attacks to databases and web applications. It stands among top ten most threatening attacks to database security. Various techniques have been developed to curb SQLIA but still the rate of such attacks is increasing day by day. Although numerous techniques and methods have been devised to put an end to SQLI attacks, these methods either fail to discourse all the aspects of attack or have limitations, preventing their use. In this paper, various reasons accountable for such attacks have been identified, analyzed and the existing techniques have been extensively reviewed.

Analysis of Scenarios with Petri-Net Models

Sarmiento, Edgar, Sampaio Do Prado Leite, Julio Cesar, Almentero, Eduardo | Software Engineering (SBES), 2015 29th Brazilian Symposium on (v.2015 / no.9 / pp.90-99 / 2015)

Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Sce

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Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Scenarios written in natural language may be ambiguous, and, sometimes, inaccurate. This problem is partially due to the fact that interactions among scenarios are rarely represented explicitly. As scenarios are used as input to subsequent activities of the software development process (SD), it is very important to enable their analysis, especially to detect flaws or problems due to wrong or missing information. This work proposes a Petri-Net based approach as an effective way to analyze the acquired scenarios. To enable the automated analysis, scenarios are translated into equivalent Place/Transition Petri-Nets. Scenarios and their resulting Petri-Nets can be automatically analyzed to evaluate some properties related to correctness, consistency and completeness. The identified problems can be traced back to the scenarios, allowing their revision. We also discuss how correctness, consistency and completeness of scenario-based SRSs can be decomposed in related properties using the NFR approach. Proposal's workability is demonstrated through two running examples.

Community detection in social network: Literature review and research perspectives

Bouhali, Souhel, Ellouze, Mehdi | Service Operations And Logistics, And Informatics (SOLI), 2015 IEEE International Conference on (v.2015 / no.11 / pp.139-144 / 2015)

Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a

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Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a lot of work. The challenge is how to identify inside these networks, groups of persons strongly linked and sharing the same preferences. As in the literature, there are many works trying to detect communities we tried in this paper to do a review of the most important ones and we tried to present some tips for improvement of obtained results.

Measuring sustainability for an effective Information System audit from public organization perspective

Aida Lope Abdul Rahman, Alifah, Islam, Shareeful, Al-Nemrat, Ameer | Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on (v.2015 / no.5 / pp.42-51 / 2015)

Information System (IS) auditing is the assessment of various controls, risk, and system development within IS infrastructures. Incorporation of sustainability within the

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Information System (IS) auditing is the assessment of various controls, risk, and system development within IS infrastructures. Incorporation of sustainability within the existing audit process aims to enhance the execution of the IS audit for an effective information system. Commonly, the performance of an IS service is evaluated through quantitative scales such as Likert Scale. However, such measurement does not provide an accurate value of the audit context due to lack of precision. Our work attempts to address this limitation. In particular, we propose a Sustainability-driven Information System Audit (SISA) approach that integrates Analytical Hierarchy Process (AHP) and the Fuzzy Set Theory (FST) to determine the performance of sustainability in IS focusing on the public organization. Sustainability consists of five dimensions as audit criteria, i.e., economic, environmental, resources, social and technology. These audit criteria are also contain sub-criteria such as cost, green IS...etc. In our case, the AHP is used to identify the relevance importance of the sustainability dimensions and its related attributes so that we can prioritize the relevant audit areas. The priority is then used to determine the level of the satisfactory of the IS sustainability using the FST. Finally, we provide a case study from the National Audit Department of Malaysia to demonstrate the applicability of our approach. The results show that this approach is useful for an effective audit towards sustainability, where auditors are able to produce effective justification for IS audit findings.

Community-Based Bus System as Routing Backbone for Vehicular Ad Hoc Networks

Fusang Zhang, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Beihong Jin | Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on (v.2015 / no.6 / pp.73-82 / 20151063-6927)

Low delivery latency and high delivery ratio are two key goals in the design of routing schemes in Vehicular Ad Hoc Networks (VANETs). The existing routing schemes utiliz

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Low delivery latency and high delivery ratio are two key goals in the design of routing schemes in Vehicular Ad Hoc Networks (VANETs). The existing routing schemes utilize real-time information (e.g., Geographical position and vehicle density) and historical information (e.g., Contacts of vehicles), which usually suffer from a long delivery latency and a low delivery ratio. Inspired by the unique features of bus systems such as wide coverage, fixed routes and regular service, we propose to use the bus systems as routing backbones of VANETs. In this work, we present a Community-based Bus System (CBS) which consists of two components: a community-based backbone and a routing scheme over the backbone. We collect real traces of 2515 buses in Beijing and build a community-based backbone by applying community detection techniques in the Beijing bus system. A two-level routing scheme is proposed to operate over the backbone. The proposed routing scheme performs sequentially in the inter-community level and the intra-community level, and is able to support message delivery to both mobile vehicles and specific locations/areas. Extensive experiments are conducted on the real trace data of the Beijing bus system and the results show that CBS can significantly lower the delivery latency and improve the delivery ratio. CBS is applicable to any bus-based VANETs.

Chaos and Complex in Measuring Sustainability of Economic Condition in Indonesia

Saadah, S. | Information Science and Security (ICISS), 2015 2nd International Conference on (v.2015 / no.12 / pp.1-4 / 2015)

Economic indicator in Indonesia are GDP (Gross Domestic Product), GNI (Gross National Income), inflation, export and import. These data had been chosen because economic t

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Economic indicator in Indonesia are GDP (Gross Domestic Product), GNI (Gross National Income), inflation, export and import. These data had been chosen because economic that came from words 'ecos' and 'nomos' consist of value of life which are implemented in them. Based on that reason, it cannot be avoided that chaos and complex will emerge during measure the economic condition. In order to monitor Indonesia's economic, system that predict each of economic indicator had been developed. This concept tried to answer the chaos and complex in real-problem. System did not measure only one indicator independently, instead of involve all of indicators while predict it. So that, non-linear differential dynamic had been used to face this issued. Furthermore, system would predict as time series and optimized using genetic algorithm. By setting parameter probability mutation and probability cross over, this research got accuracy around 30% - 80%. The range of accuracy proved that the system able enough to fit data in finding historical pattern even had to face with chaos and complex. Distribution data and non-linear differential equation are caused of chaos and complex respectively.

Analysis of telemetering service in OpenStack

Dongmyoung, Baek, Bumchul, Lee | Information and Communication Technology Convergence (ICTC), 2015 International Conference on (v.2015 / no.10 / pp.272-274 / 2015)

In Cloud technologies, monitoring is core element of electronic communication device for optimization. Recently OpenStack open monitoring source code (ceilometer) to the

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In Cloud technologies, monitoring is core element of electronic communication device for optimization. Recently OpenStack open monitoring source code (ceilometer) to the public. Ceilometer project monitors and meters the OpenStack cloud for billing, benchmarking, scalability, and statistical purposes. Analysis of Cloud monitoring, is compared with Network function monitoring.

Simulation of microloading and ARDE in DRIE

Gosalvez, M. A., Zhou, Y., Zhang, Y., Zhang, G., Li, Y., Xing, Y. | Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), 2015 Transducers - 2015 18th International Conference on (v.2015 / no.6 / pp.1255-1258 / 2015)

An atomisitic etching model is combined with a continuum concentration solver in order to realistically simulate various effects during Deep Reactive Ion Etching (DRIE or

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An atomisitic etching model is combined with a continuum concentration solver in order to realistically simulate various effects during Deep Reactive Ion Etching (DRIE or the Bosch process). This includes microloading (or loading effect) and Aspect Ratio Dependent Etching (ARDE or lag effect). The model strongly differs from the current simulation approaches in which the local etch rate depends markedly on complex visibility integrals over the ion and neutral fluxes. Instead, we focus on the description of the etchant depletion.

fNIRS measure of transitive and intransitive gesture execution, observation and imagination in ecological setting: A pilot study

Vanutelli, Maria E., Cortesi, Livia, Molteni, Erika, Balconi, Michela | Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (v.2015 / no.8 / pp.3484-3487 / 2015)

To explore the presence of differential cortical hemodynamic activations related to cognitive components of actions, we performed a fNIRS (functional Near-Infrared Spectr

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To explore the presence of differential cortical hemodynamic activations related to cognitive components of actions, we performed a fNIRS (functional Near-Infrared Spectroscopy) study during Observation (O), Execution (E) and Imagination (I) of complex and meaningful (transitive and intransitive) gestures in ecological setting. A pilot sample of 5 healthy adults underwent an event-related study consisting of these 3 different conditions, with O set as first and followed by a randomized presentation of E or I. fNIRS measurements were performed using a 24 channel array of optodes (8 light injectors and 8 detectors) placed over the contralateral central, centro-parietal, parietal and temporal areas. Results showed that the premotor (PMC) and the sensory-motor cortices (SM1) were recruited selectively during E, with levels of oxygenated hemoglobin (oxy-Hb) higher than the other conditions, while the posterior parietal cortex (PPC) showed increased oxy-Hb levels for both E and O. These data suggest that variations in hemodynamic responses can be attributed to different neural processes underpinning these tasks, with PMC and SM1 being more involved in action preparation and performance, and PPC prevalently dedicated to attentive processes related to the execution and observation of limb movements.

Using Cultural Algorithms to Improve Wearable Device Gesture Recognition Performance

Waris, Faisal, Reynolds, Robert G. | Computational Intelligence, 2015 IEEE Symposium Series on (v.2015 / no.12 / pp.625-633 / 2015)

Wearable computing devices are now mainstream. Many such devices have capable MEMS sensors that can be exploited for recognizing dynamic, in-the-air gestures. Noting the

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Wearable computing devices are now mainstream. Many such devices have capable MEMS sensors that can be exploited for recognizing dynamic, in-the-air gestures. Noting the somewhat limited compute and battery life of today's devices, we present a computationally efficient approach to gesture recognition that can be effectively used inside an app running on standard, off-the-shelf hardware, such as an Android Smart watch. Our approach has two phases. The first phase is to construct finite state machines (FSM) for gesture recognition. We present a novel approach - which leverages techniques from functional programming languages - to define rich yet compact FSM. Such FSM can be further tuned for higher accuracy with help of some training data and a suitable optimization method - this is the second phase. To demonstrate effectiveness, we created a gesture recognition system for an automotive scenario as an Android Smart watch app and then tuned the gesture recognition engine using Cultural Algorithms optimization and training data. We achieved 77% gesture recognition accuracy which is on par which more computationally intensive techniques such as Hidden Markov Models.

Analysis of a novel time-delay diabetes model

Kovacs, Levente, Kurtan, Balazs, Eigner, Gyorgy, Rudas, Imre, Chee Kong Chui | Control Conference (ECC), 2015 European (v.2015 / no.7 / pp.13-18 / 2015)

Nowadays, the requirements in the high quality managing and mathematical modeling of diabetes are increasing. Due to the several types of this chronic disease the problem

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Nowadays, the requirements in the high quality managing and mathematical modeling of diabetes are increasing. Due to the several types of this chronic disease the problem represents a challenging task that was mostly covered in the literature for type 1 diabetes while examining algorithms for artificial pancreas. The aim of the current paper is to analyze a recently developed novel time-delay diabetes model elaborated for both type 1 and type 2 diabetes mellitus; hence, to handle mixed state of these diseases (double diabetes) as well. Control theoretical characteristics are investigated followed by parametric sensitivity analysis for both type 1 and type 2 cases. Finally, the model is compared with the well-known and widely used Cambridge (Hovorka)-model under different simulation scenarios.

Community clouds at the edge deployed in Guifi.net

Baig, Roger, Freitag, Felix, Khan, Amin M., Moll, Agusti, Navarro, Leandro, Pueyo, Roger, Vlassov, Vladimir | Cloud Networking (CloudNet), 2015 IEEE 4th International Conference on (v.2015 / no.10 / pp.213-215 / 2015)

Community clouds are a cloud deployment model in which the cloud infrastructure is built with specific features for a community of users with shared concerns, goals, and

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Community clouds are a cloud deployment model in which the cloud infrastructure is built with specific features for a community of users with shared concerns, goals, and interests. Commercial community clouds already operate in several application areas such as in the finance, government and health, fulfilling community-specific requirements. In this demo, a community cloud for citizens is presented. It is formed by devices at the edge of the network, contributed by the members of a community network and brought together into a distributed community cloud system through the Cloudy distribution. The demonstration shows to the audience in a live access the deployed community cloud from the perspective of the user, by accessing a Cloudy node, inspecting the services available in the community cloud, and showing the usage of some of its services.

The Application of Project Agent Construction System Based on the Economic Housing Construction

Xiong Lili, Hu Ni | Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on (v.2015 / no.6 / pp.1134-1137 / 2015)

This article analyzes and discusses the features and process of project agent as well as qualifications and conditions of construction agents in the field of economic and

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This article analyzes and discusses the features and process of project agent as well as qualifications and conditions of construction agents in the field of economic and applicable housing construction. It also provides relevant advises and suggestions to improve the project agent system, which is beneficial and adds stronger practical meaning in this field.

Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors

Jafari, Hossein, Xiangfang Li, Lijun Qian, Yuanzhu Chen | Sarnoff Symposium, 2015 36th IEEE (v.2015 / no.9 / pp.12-17 / 2015)

Awareness of our surrounding environment is very important. Traditional stationary air quality and pollution monitoring systems which installed in dedicated locations are

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Awareness of our surrounding environment is very important. Traditional stationary air quality and pollution monitoring systems which installed in dedicated locations are usually bulky and expensive, and they may not be able to measure at locations of our interest. In this study, we propose a novel framework of an environment air quality monitoring system using a community-based approach. Leveraging on the high penetration of smartphones and low cost and small form factor of certain sensors that can be carried on a key chain with a Bluetooth module, critical measurements such as air quality can be measured by each sensor carried by a member of a community, and be sent to that person's smartphones, and eventually uploaded to a web portal using a corresponding app. Then the aggregated and processed data at the server side can be visualized and shared among the community members and publish through social networks. In this project, we have designed the architecture of the proposed community sensing system, and implemented the system using commercial off-the-shelf (COTS) Sensordrone paired with Android #x00A9; smartphones. Our system measure temperature, humidity, pressure, carbon monoxide, and battery charge level in real-time and it will provide location based services to users. Extra sensors such as ozone and radiation sensors can be added as well.

The invisible cultural heritage in spatial organization

Yun-Shang Chiou, Cahyono, Yohana Natalia | Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM International Conference on (v.2015 / no.8 / pp.839-847 / 2015)

This paper applies four centrality measures, Newman grouping algorithm, central graph and depth study to delineate the characteristics of two sets of spatial networks. On

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This paper applies four centrality measures, Newman grouping algorithm, central graph and depth study to delineate the characteristics of two sets of spatial networks. One dataset contains the spatial networks of three Chinese-Indonesian houses in Surabaya, Indonesia, which are three merchants' houses built in different time periods in the past 100 years. The other dataset contains the spatial networks of six farmers' houses in the village of JinHsing, Taiwan, which were also built in different time periods in the past 100 years. The houses in Surabaya have been adapted for commerce-based urban life. The houses in JinHsing are part of the fabric of an agriculture settlement. Two groups of houses rooted in Chinese culture are differentiated by their natural environments, life-styles and social conditions. While the appearance, materials, construction and even floor-plans of these houses have changed dramatically over past century, certain patterns in spatial organizations persist. Using in-group and cross-group comparisons, the paper illustrates how the development of spatial organization of these houses reflects the cultural, social and economic statuses of the residents and the community.

Using TPM to ensure security, trust and privacy (STP) in VANET

Sumra, Irshad Ahmed, Bin Hasbullah, Halabi, Ab Manan, Jamalul-lail | Information Technology: Towards New Smart World (NSITNSW), 2015 5th National Symposium on (v.2015 / no.2 / pp.1-6 / 2015)

Safety and non-safety applications of VANET provides solutions for road accidents in current traffic system. Security is one of the key research area for successful imple

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Safety and non-safety applications of VANET provides solutions for road accidents in current traffic system. Security is one of the key research area for successful implementation of safety and non-safety applications of VANET in real environment. Trust and Privacy are two major components of security and dynamic topology and high mobility of vehicles make it more challenging task for end users in network. We propose a new and practical card-based scheme to ensure the Security, Trust and Privacy (STP) in vehicular network. Proposed scheme is based on security hardware module i-e trusted platform module (TPM). The basic objective of proposed scheme is to create trusted security environment for end users in network and user take benefits of potential application of VANET.

Thermal treatment improvement of CuSbS2 absorbers

Willian de Souza Lucas, Francisco, Welch, Adam W., Baranowski, Lauryn L., Dippo, Patricia C., Mascaro, Lucia H., Zakutayev, Andriy | Photovoltaic Specialist Conference (PVSC), 2015 IEEE 42nd (v.2015 / no.6 / pp.1-5 / 2015)

Thermal treatment in Sb 2 S 3 vapor was used to improve the quality of CuSbS 2 thin films, a promising non-toxic and earth-abundant absorber. A change in the CuSbS

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Thermal treatment in Sb 2 S 3 vapor was used to improve the quality of CuSbS 2 thin films, a promising non-toxic and earth-abundant absorber. A change in the CuSbS 2 crystallographic texture and a decrease in the lattice stress were observed, as well as increases in the grain size, photoluminescence intensity and photoconductivity. To eliminate the influence of the possible Sb 2 S 3 rich surface layer on photovoltaic performance, a selective chemical etching with KOH was developed.

Identification of a gain system with binary input and output measurements

You, Keyou, Weyer, Erik, Nair, Girish | Decision and Control (CDC), 2015 IEEE 54th Annual Conference on (v.2015 / no.12 / pp.2453-2458 / 2015)

This paper studies the identification problem of a gain system using both input and output quantized data. Specifically, the system input and the output are separately qu

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This paper studies the identification problem of a gain system using both input and output quantized data. Specifically, the system input and the output are separately quantized into one bit before sent to a remote estimator, which generates a recursive algorithm to identify the system. If the random input is an independent and identical Gaussian process, we develop the identification algorithms respectively by using the empirical measure and the maximum likelihood estimation, which is given in a recursive form by the EM and quasi-Newton iterations. Finally, simulations are included to validate theoretical results.

Semantic classification of the citations

Vaioulis, Fotios, Papavlasopoulos, Sozon, Bokos, George, Poulos, Marios | Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on (v.2015 / no.7 / pp.1-5 / 2015)

In this study the semantic classification of the references/citations of a scientific article according to position within the article is investigated. For this purpose,

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In this study the semantic classification of the references/citations of a scientific article according to position within the article is investigated. For this purpose, the article is divided into two major sections: the Introduction/Background section and the rest section which contains the methodology, experimental part, results and conclusion parts. Additionally, the references of an article are divided into two categories: the Self-References and the Citations which are used for the semantic interpretation of the references in combination with the aforementioned geographic partition. For achievement of this, an algorithm was constructed which was implemented using Java programming language and was applied in a numerous articles of open springer journals. Finally, the classification results as well as the interpretation of these should create a new consideration about the contribution of each reference in the knowledge creation specifically in the self-citation case.