Data Communication Capabilities Research Articles

Wireless Sensor Networks Based Control Strategies for the Enhancement of Reliability in Smart Grids

The rapid increase in the demand for electricity necessitates the power quality improvement for achieving better reliability in smart grids. Wireless Sensor Networks (WSN) is the proven technology for reliable monitoring. This paper proposes a system model for the development and implementation of WSN based communication system for the monitoring of distributed generation, loads and transmission lines in the electrical grid and a controller system for automated control on the electrical grid. This work also aims to reduce the carbon footprints by reducing the dependency of electrical grid through the enhancement of distributed generation and grid sharing for avoiding voltage rise problem. To achieve this, a smarter electrical grid has been developed for the validation of smart grid considering a generation substation, a transmission substation and a distributed generation with loads. The occurrence of power quality issue and voltage rise has been controlled by active power control strategy. The communication network and controller has been modeled and tested for the performance of monitoring system and data communication capability on smart grid.

Metal/Polymer Based Stretchable Antenna for Constant Frequency Far‐Field Communication in Wearable Electronics

Body integrated wearable electronics can be used for advanced health monitoring, security, and wellness. Due to the complex, asymmetric surface of human body and atypical motion such as stretching in elbow, finger joints, wrist, knee, ankle, etc. electronics integrated to body need to be physically flexible, conforming, and stretchable. In that context, state‐of‐the‐art electronics are unusable due to their bulky, rigid, and brittle framework. Therefore, it is critical to develop stretchable electronics which can physically stretch to absorb the strain associated with body movements. While research in stretchable electronics has started to gain momentum, a stretchable antenna which can perform far‐field communications and can operate at constant frequency, such that physical shape modulation will not compromise its functionality, is yet to be realized. Here, a stretchable antenna is shown, using a low‐cost metal (copper) on flexible polymeric platform, which functions at constant frequency of 2.45 GHz, for far‐field applications. While mounted on a stretchable fabric worn by a human subject, the fabricated antenna communicated at a distance of 80 m with 1.25 mW transmitted power. This work shows an integration strategy from compact antenna design to its practical experimentation for enhanced data communication capability in future generation wearable electronics.

Recent advances on knowledge discovery and business intelligence

Information Technology (IT) is advancing rapidly. In the last years, IT costs have reduced while data storage, communication and processing capabilities have increased. In effect, vast datasets are becoming commonplace. All this data hold valuable knowledge such as trends and patterns, which can be used to improve decision making and optimize chances of success. These datasets are often highly complex for a manual analysis due to the volume, variety and velocity properties of data. Following these advances, there has been a growing interest in using IT to provide useful knowledge, extracted from humans or raw data, for decision support. This interest was approached under different perspectives through the last decades [Carbonell et al., 1983, Ein-Dor and Segev, 1993, Turban et al., 2010, Piatetsky-Shapiro, 2011]:

PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE MATCH MINE UNTUK MENINGKATKAN KEMAMPUAN KOMUNIKASI MATEMATIS SISWA KELAS VII DI MTs NEGERI 2 MEDAN

ABSTRACTThis study aims to improve students' mathematical communication skills through the application of cooperative learning model Match Mine on the subject of integers in classVII MTs2 Medan. This type of researchis a classroom action research. The subjects were students of class VII-1 MTs 2 Terra in TA 2014/2015 which amounted to 42students. The object of this research is the students' mathematical communication skills through cooperative learning model Match Mine on the subject of integers. The research instrument used is th eobservation and test mathematical communication skills. This study consisted two cycles and at the end of each cycleis given test comunication is mathematical ability. Before given, test first validated to the validator. The results showed that cooperative learning model in the material Match Mine integer scan improve students' mathematical communication. It is seen from the results before action is given, the provisi on of diagnostics tests of 42 students only as many as 15 students (35.72%), which reached a value ≥ 65 with an average value of 58.18 class. After agiven action, the first mathematical communication skills tests in the first cycle, from 42 students as many as 25 students (59.52%) reached a value ≥ 65 with an average value of 66.95 class. From theanalysis ofthe test data communication capabilities mathematicalI on the second cycle of 42 people found that the students are 37 students (88.09%) reached a value ≥65 with an average value of 74.38 class. Based on observation, learning management research conducted in the first cycle, including both categories with a scoreof 2.87. Furthermore,in the second cycle, the researcher's ability to manage the learning increased to 3.40 so very good category. Based on the above results, it can be conclude edthatby implementing cooperative learning model Match Mine can improve students' mathematica lcommunication on the subject of integers in class VII MTs 2 Medan. Suggestions submitted to the seventh grade math teacher at MTs Negeri 2 Medan advis able to provide training to students that many require students to provide arguments that students' mathematical communication skills especially in explaining aspect scan be increased, as well asprovide the opportunity for students express ideas/ideas verbally/ writing in the learning process, andusing learning modelKeywords : mathematical communication, communication, secondary school, classroom action research, match mine.

A Distributed Amplifier System for Bilayer Lipid Membrane (BLM) Arrays With Noise and Individual Offset Cancellation.

Lipid bilayer membrane (BLM) arrays are required for high throughput analysis, for example drug screening or advanced DNA sequencing. Complex microfluidic devices are being developed but these are restricted in terms of array size and structure or have integrated electronic sensing with limited noise performance. We present a compact and scalable multichannel electrophysiology platform based on a hybrid approach that combines integrated state-of-the-art microelectronics with low-cost disposable fluidics providing a platform for high-quality parallel single ion channel recording. Specifically, we have developed a new integrated circuit amplifier based on a novel noise cancellation scheme that eliminates flicker noise derived from devices under test and amplifiers. The system is demonstrated through the simultaneous recording of ion channel activity from eight bilayer membranes. The platform is scalable and could be extended to much larger array sizes, limited only by electronic data decimation and communication capabilities.

A fast online learning algorithm for distributed mining of BigData

BigData analytics require that distributed mining of numerous data streams is performed in real-time. Unique challenges associated with designing such distributed mining systems are: online adaptation to incoming data characteristics, online processing of large amounts of heterogeneous data, limited data access and communication capabilities between distributed learners, etc. We propose a general framework for distributed data mining and develop an efficient online learning algorithm based on this. Our framework consists of an ensemble learner and multiple local learners, which can only access different parts of the incoming data. By exploiting the correlations of the learning models among local learners, our proposed learning algorithms can optimize the prediction accuracy while requiring significantly less information exchange and computational complexity than existing state-of-the-art learning solutions.

Driver behaviour, truck motion and dangerous road locations – Unfolding from emergency braking data

Road vehicles equipped with measurement, computing, data storage and data communication capabilities can be utilised as probe-vehicles. Data received from such vehicles can provide valuable traffic and traffic safety information in respect of the covered routes and the connecting road network. In this study, trucks negotiating their normal daily haulage trips were used as probe-vehicles and the data recording their vehicular emergency events, such as abrupt braking events, detected by their on-board vehicular safety systems were analysed. The motivation for such an analysis is manifold. The aspect emphasized here is that the recorded vehicular emergency actions and events can be seen as surrogate safety events. Some of these surrogate safety events mark traffic incidents and therefore can be used as input by the surrogate safety assessment methodology. Though the vehicular emergency data used herein provides only sparse spatial and temporal coverage of the road network investigated, its analysis led to some interesting findings about interactions between drivers, trucks and roads.

Implementasi Sistem Penghilang Derau Adaptif Menggunakan Algoritma LMS pada FPGA Altera Flex10KLC84

The Adaptive Noise Cancelling System has been implemented in FPGA’s Altera Felx10KCL84, chip which has 576 LE and 3 EAB. The system has data communication capability between PC and system and the baudrate is 9,600bps. Data format using 8-bit data width two’s complement integer and 8 scale factor. Total resources which has been used is 564 LE and 2 EAB, after optimization. The accuracy is 100% according to the MATLAB results for the same computation equation.System respond for square wave is better then sinusoidal wave.

Shifts in air traffic controllers’ situation awareness during high altitude mixed equipage operations

Studies of future airspace design often predict that automated tools will be available to assist the controller and sometimes complete tasks independently of controller intervention. How this redistribution of functions will change the role of the controller needs to be considered, as does its impact on the controller’s awareness of aircraft movement in their sector. In a study of high altitude operations in future airspace where aircraft were equipped with different levels of data communications capabilities, it was found that about half of the participants positively attributed the contribution of the automation as assisting their own level of situation awareness (SA) – and hence perceived themselves as being in a better position in terms of SA under more automated / equipped conditions. Whereas the other half of the participants, who did not consider the automation to assist their situation awareness, perceived themselves as having higher SA under conditions that were closer to the current day. With increased reliance on automation and higher expected traffic volume in the future, controllers will need to rethink what constitutes as their SA since they will no longer be able to have a complete awareness of their airspace as they do now. Insights into new SA strategies that can factor automation’s contribution and integrate it into controllers’ awareness could be helpful in future training and tool design.

Merging mobility and energy vision with hybrid electric vehicles and vehicle infrastructure integration

As the U.S. federal government is seeking useful applications of Vehicle-Infrastructure Integration (VII) and encouraging a greener and more efficient automobile industry, this paper demonstrated a path to meet the national transportation goal via VII. An impact study was conducted in a midsize U.S. metropolitan area on the potential of utilizing VII communication in Hybrid Electric Vehicle (HEV) operations by simulating a VII-enabled vehicle framework for both conventional HEV and Plug-in Hybrid Electric Vehicles (PHEV). The data collection and communication capability of the VII system allowed the prediction of speed profiles at the vehicle level with an average error rate of 13.2%. With the prediction, at the individual vehicle level, VII technology allowed PHEV and HEV to achieve additional benefits with an approximately 3% decrease in total energy consumption and emission. At the network level, the benefit–cost analysis indicated that the benefit–cost ratios for PHEV and HEV of the VII vehicle network exceed one at the fleet penetration rate of 20% and 30%, respectively. Our findings encourage to support public and private investments in VII infrastructure and its integration with HEV and PHEV in order to reap the increased energy savings from these vehicles.

Fault Detection and Recovery in Wireless Sensor Network Using Clustering

Some WSN by a lot of immobile node and with the limited energy and without further charge of energy. Whereas extension of many sensor nodes and their operation. Hence it is normal.unactive nodes miss their communication in network, hence split the network. For avoidance split of network, we proposed a fault recovery corrupted node and Self Healing is necessary. In this Thesis, we design techniques to maintain the cluster structure in the event of failures caused by energy-drained nodes. Initially, node with the maximum residual energy in a cluster becomes cluster heed and node with the second maximum residual energy becomes secondary cluster heed. Later on, selection of cluster heed and secondary cluster heed will be based on available residual energy. We use Matlab software as simulation platform quantities. like, energy consumption at cluster and number of clusters is computed in evaluation of proposed algorithm. Eventually we evaluated and compare this proposed method against previous method and we demonstrate our model is better optimization than other method such as Venkataraman, in energy consumption rate. Recent advances in MEMS (Micro-electro-mechanical systems) and wireless network technology have made the development of small, inexpensive, low power distributed devices, which are capable of local processing and wireless communication, a reality. Such devices are called sensor nodes. Sensors provide an easy solution to those applications that are based in the inhospitable and low maintenance areas where conventional approaches prove to be impossible and very costly. Sensors are generally equipped with limited data processing and communication capabilities and are usually deployed in an ad-hoc manner to in an area of interest to monitor events and gather data about the environment. Examples include environmental monitoring- which involves monitoring air soil and water, condition based maintenance, habitat monitoring, seismic detection, military surveillance, inventory tracking, smart spaces etc. Sensor nodes are typically disposable and expected to last until their energy drains. Therefore, it is vital to manage energy wisely in order to extend the life of the sensors for the duration of a particular task. (1-6). Failures in sensor networks due to energy depletion are continuous and may increase. This often results in scenarios where a certain part of the network become energy constrained and stop operating after sometime. Sensor nodes failure may cause connectivity loss and in some cases network partitioning. In clustered networks, it creates holes in the network topology and disconnects the clusters, thereby causing data loss and connectivity loss (10). Good numbers of fault tolerance solutions are available but they are limited at different levels. Existing approaches are based on hardware faults and consider hardware components malfunctioning only. Some assume that system software's are already fault tolerant as in (7, 8). Some are solely focused on fault detection and do not provide any recovery

Inter power electronic building blocks’ communication over two optical rings

Power electronic building blocks, initiated and sponsored by the Office of Naval Research, are based on the integration of power semiconductor elements with some degree of intelligence and data communication capability in compact form. This article addresses the communication issues between power electronic building blocks. A study case of Inter PEBB communication is described, based on two-optical ring topology and the possibility of complete implementation in a single FPGA for slave nodes.

The interplanetary internet: A communications infrastructure for Mars exploration

A strategy is being developed whereby the current set of internationally standardized space data communications protocols can be incrementally evolved so that a first version of an operational “Interplanetary Internet” is feasible by the end of the decade. This paper describes its architectural concepts, discusses the current set of standard space data communications capabilities that exist to support Mars exploration and reviews proposed new developments. We also speculate that these current capabilities can grow to support future scenarios where human intelligence is widely distributed across the Solar System and day-to-day communications dialog between planets is routine.

An algorithm for end-to-end performance analysis of network based on traffic engineering

Based on traffic engineering, the network topology is described with network graph. An algorithm for the derivation of data communication capability in network links and the analysis of connectivity performance between node pairs is given through standardized transformation of the original descriptive matrix for the link performance, and resolution of transitive closure for adjacent-incident matrix of network in view of randomness of network events, which provides a feasible way for analysis and improvement of network performance.

Using data on digital cellular and PCS voice networks

Many new digital cellular and personal communications services (PCS) networks that provide both voice and data communication capabilities are being installed in the United States and around the world. Current cellular and PCS handsets primarily target voice telephony, but the next generation will also support data services. In this paper we review the current offerings in wireless handsets that support both voice and data services and also present our design for a next-generation wireless handset. We discuss the tradeoffs in selecting an operating system and input device, and in designing a user interface. The physical design of our user interface and the wired network infrastructure support applications such as telephone directory, electronic mail, and Web browsing. The result is a small, user-friendly handset featuring handwriting recognition, foldable video graphics adapter (VGA)-sized liquid crystal display (LCD) screens, and the Inferno™ operating system.

Classification of power systems communications needs and requirements: experiences from case studies at Swedish national grid

Broadband data communications capabilities are introduced to a great extent among electric utilities. Installation of fiber-optic systems makes it possible to provide high-speed communication capacity links, and to replace vintage, low-rate equipment. However, the ways of how the new possibilities should be most effectively utilized have not been fully investigated. Communication needs and requirements must be further analyzed. This kind of work has been started at Svenska Kraftnat (Swedish National Grid). In this paper, an approach of classifying various requirements is presented. Typical needs and requirements are ordered into three different classes reflecting the degree of importance of various communication needs. The classification has a functional standpoint rather than a traditional technical focus. Even though the classification is coarse, it has proved to be a proper basis for data- and telecommunication-strategic considerations.

Classifilcation of Power Systems Communications Needs and Requirements: Experiences from Case Studies at Swedish National Grid

Broadband data communications capabilities are introduced to a great extent among electric utilities. Installation of fiber-optic systems makes it possible to provide high-speed communication capacity links, and to replace vintage, low-rate equipment. However, the ways of how the new possibilities should be most effectively utilized have not been fully investigated. Communication needs and requirements must be further analyzed. This kind of work has been started at Svenska Kraftnat (Swedish National Grid). In this paper, an approach of classifying various requirements is presented. Typical needs and requirements are ordered into three different classes reflecting the degree of importance of various communication needs. The classification has a functional standpoint rather than a traditional technical focus. Even though the classification is coarse, it has proved to be a proper basis for data- and telecommunication-strategic considerations.

The network paradigm of the 21st century and its key technologies

This article proposes a network paradigm called the single-server-view network as the basis for networks in the 21st century, when the value of a network to users will be based on the services provided rather than data communication capability. Based on our paradigm, we propose a double-plane network architecture, consisting of a simplified data forwarding plane and a service control plane, that performs all the complex processing tasks. The data forwarding plane uses an advanced photonic network as its basis. The service control plane consists of agent, service, and policy control layers with open interfaces between layers. Leading-edge information processing technologies, such as active node, agent, distributed processing, and policy-based management, are used in this plane. Since mobile communication is becoming a major access technology, an approach to integrating mobile and fixed networks into this framework is also proposed. The current status of key technologies, such as photonic networks, agent technology, and policy-based management, are reported.

Internet-based distributed measurement and control applications

The NIST DMC (distributed measurement-and-control) demonstration project that has been described spans all levels of the DMC system. This multilevel data communication capability is a viable one as a result of standardized networks, protocols, and transducer interfaces. Common Internet-based software technology was used to provide the ease of data migration between the various communication pathways. Standard and de facto software languages such as C and Java were used with off-the-shelf development tools to implement the embedded network node applications and the web-based application, respectively. Internet-based TCP/IP protocols and Ethernet technology were used to design the networking infrastructure. The distributed measurement and control concept with networking sensors and actuators should work quite well with advanced system design, particularly where sensor-based monitoring and control applications are important. Taking this approach in system design can reduce the total life-cycle cost of the system by use of modular sensor system design and commercially available smart transducers with standardized interfaces, and easy maintenance and upgrade via simple plug-and-play sensor and actuator components. In addition, using standardized components and interfaces will certainly reduce interoperability problems.

Inter-domain service management of broadband virtual private networks

The emergence of an open market for telecommunication services provides a wide range of opportunities for the provision of value-added services by providers other than public network operators. One service already available today is a Virtual Private Network (VPN) that provides dispersed corporate sites with wide-area data communication capabilities using public network services. The introduction of Broadband ISDN allows for the provision of VPN services in a more integrated fashion. However, any effective VPN service must be able to deal with the technological and organizational heterogeneities that are present when providing a high level of service functionality over an arbitrary number of administrative and technological domains. This paper presents a management service for a VPN service that addresses some multi-domain and network heterogeneity issues. It outlines how a design based on the ITU-T's Telecommunications Management Network (TMN) Recommendation was developed and how working prototypes were implemented over real broadband networks.