On the Research and Development[taliem.ir]

On the Research and Development of Social Internet of Things

The Internet of Things (IoT) has been a new trend in the IT business and the assembling group for quite a while. Yet, in this way, the battle with IoT is that it is attempting to locate an extraordinary advertising message about how it will specifically enhance human lives. It has been stated that the ones who are tied in a social network can give significantly give more exact responses to complicated issues than an individual alone. This rule has been seriously considered in different websites. Lately, with the help of IoT frameworks, it was made possible to connect billions of objects in a very short term. The Social Internet of Things (SIoT) is characterized as an IoT where things are fit for building social associations with different items, independently regarding people. In this chapter we propose to discuss on the origin, development and current status of SIoT and propose some scope for future studies.
Telemedical Wearable Sensing Platform for Management of Chronic[taliem.ir]

Telemedical Wearable Sensing Platform for Management of Chronic Venous Disorder

Enabled by emerging wearable sensors, telemedicine can potentially offer personalized medical services to long-term home care or remote clinics in the future, which can be particularly helpful in the management of chronic diseases. The wireless wearable pressure sensing system reported in this article provides an excellent example of such an innovation, whereby periodic or continuous monitoring of interface pressure can be obtained to guide routine compression therapy, the cornerstone of chronic venous disorder management. By applying a novel capacitive, iontronic sensing technology, a flexible, ultrathin, and highly sensitive pressure sensing array is seamlessly incorporated into compression garments for the monitoring of interface pressure. The linear pressure sensing array assesses pressure distribution along the limb in a real-time manner (up to a scanning rate of 5 kHz), and the measurement data can be processed and displayed on a mobile device locally, as well as transmitted through a Bluetooth communication module to a remote clinical service. The proposed interface pressure measuring system provides real-time interface pressure distribution data and can be utilized for both clinical and selfmanagement of compression therapy, where both treatment efficacy and quality assurance can be ascertained.
Quantification of the quality characteristics for the calculation of software[taliem.ir]

Quantification of the quality characteristics for the calculation of software reliability

This paper presents a method to describe and increase the software quality of automation systems by a quantitative determination of the software reliability. Therefore, the software development process has been analyzed to identify the essential factors influencing the software reliability. These are the usage of a procedure model, the test factor and the human factor of the software developers themselves. These factors have been considered to create a neuro-fuzzy-based concept, which characterizes and consolidates them to realize an estimation of the software quality. The possibility to estimate the software quality, especially dynamically already during the software development process, will entail a huge benefit to programmers and manufacturers. Effects, methods or circumstances influencing the software quality in a negative or positive way can be numerically described and rated. On basis of that, necessary optimizations in the development process can be performed in time to guarantee a high quality of the software.
Activity-Based Human Mobility Patterns[taliem.ir]

Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

In this study, with Singapore as an example, we demonstrate how we can use mobile phone call detail record (CDR) data, which contains millions of anonymous users, to extract individual mobility networks comparable to the activity-based approach. Such an approach is widely used in the transportation planning practice to develop urban micro simulations of individual daily activities and travel; yet it depends highly on detailed travel survey data to capture individual activity-based behavior. We provide an innovative data mining framework that synthesizes the state-of-the-art techniques in extracting mobility patterns from raw mobile phone CDR data, and design a pipeline that can translate the massive and passive mobile phone records to meaningful spatial human mobility patterns readily interpretable for urban and transportation planning purposes. With growing ubiquitous mobile sensing, and shrinking labor and fiscal resources in the public sector globally, the method presented in this research can be used as a low-cost alternative for transportation and planning agencies to understand the human activity patterns in cities, and provide targeted plans for future sustainable development.
ارزیابی عملکرد راکتور پیوسته همزن دار برای تولید فرمالدهید با وجود مبدل حرارتی[taliem.ir]

ارزیابی عملکرد راکتور پیوسته همزن دار برای تولید فرمالدهید با وجود مبدل حرارتی

راکتورهای همزن دار که در آن یک یا چند پروانه برای تولید جریان اختلاط در داخل راکتور استفاده می شود بطور گسترده در انواع صنایع استفاده می شود. از جمله کاربردهای راکتور پیوسته همزن دار در صنایع مختلف از جمله سنتز رزین، احیا بوسیله تبادل یونی رزین ها، تولید کلسیم هیدروکسید در فاز مایع جامد و بسیاری موارد دیگر می باشد. در این مقاله به مدلسازی یک راکتور پیوسته همزن دار در شرایطی که واکنش گرمازا برای تولید فرمالدهید درون راکتور اتفاق می افتد می پردازیم، و به ارزیابی عملکرد راکتور در صورت وجود مبدل حرارتی در سه حالت آددیاباتیک، دما ثابت و دمای متغیر با استفاده از نرم افزار MATLAB و تحلیل نتایج حاصل از مدلسازی راکتور و تغییرات میزان درصد تبدیل نسبت به حجم، دما و فشار که پارامترهای اساسی در طراحی و انتخاب راکتور مناسب برای واکنش موردنظر می باشد پرداخته می شود. در نهایت یک شرایط بهینه مناسب برای رسیدن به بهترین عملکرد راکتور ارایه می دهیم.
A survey and challenges in routing and data[taliem.ir]

A survey and challenges in routing and data dissemination in vehicular ad hoc networks

In this paper, we survey recent results in vehicular ad hoc networks (VANETs) data dissemination. We describe methods proposed to enforce dissemination scope such as geocast/broadcast and multicast. A growing category consisting of methods designed to achieve disruption tolerance in vehicular networks is presented. We describe the key ideas of representative technologies in each category. In addition, we consider location service and security issues that are crucial for data dissemination in VANET. We conclude by sharing our thoughts on further challenges.
Relationship Discovery with NetFlow to Enable[taliem.ir]

Relationship Discovery with NetFlow to Enable Business-Driven IT Management

The understanding of relationships and dependencies between business processes and the underlying IT infrastructure is important for enabling business-driven IT management. This work uses the widespread NetFlow feature to derive direct and indirect traffic relationships in IT infrastructures. We define an algorithm for relationship discovery with NetFlow and describe the application of the discovery approach in a large production environment.
Multi-Gigabit Millimeter Wave[taliem.ir]

Multi-Gigabit Millimeter Wave Wireless Communications for 5G: From Fixed Access to Cellular Networks

With the formidable growth of various booming wireless communication services that require ever increasing data throughputs, the conventional microwave band below 10 GHz, which is currently used by almost all mobile communication systems, is going to reach its saturation point within just a few years. Therefore, the attention of radio system designers has been pushed toward ever higher segments of the frequency spectrum in a quest for increased capacity. In this article we investigate the feasibility, advantages, and challenges of future wireless communications over the Eband frequencies. We start with a brief review of the history of the E-band spectrum and its light licensing policy as well as benefits/challenges. Then we introduce the propagation characteristics of E-band signals, based on which some potential fixed and mobile applications at the E-band are investigated. In particular, we analyze the achievability of a nontrivial multiplexing gain in fixed point-to-point E-band links, and propose an E-band mobile broadband (EMB) system as a candidate for the next generation mobile communication networks. The channelization and frame structure of the EMB system are discussed in detail .
Four Decades of Data Mining in Network and[taliem.ir]

Four Decades of Data Mining in Network and Systems Management

How has the interdisciplinary data mining field been practiced in Network and Systems Management (NSM)? In Science and Technology, there is a wide use of data mining in areas like bioinformatics, genetics, Web and more recently astroinformatics. However, the application in NSM has been limited and inconsiderable. In this article, we provide an account of how data mining has been applied in managing networks and systems for the past four decades, presumably since its birth. We look into the field’s applications in the key NSM activities – discovery, monitoring, analysis, reporting and domain knowledge acquisition. In the end, we discuss our perspective on the issues that are considered critical for the effective application of data mining in the modern systems which are characterized by heterogeneity and high dynamism .
Semantic Management of Streaming Data[taliem.ir]

Semantic Management of Streaming Data

One of the fundamental challenges facing the unprecedented data deluge produced by the sensor networks is how to manage time-series streaming data so that they can be reasoning-ready and provenance-aware. Semantic web technology shows great promise but lacks adequate support for the notion of time. We present a system for the representation, indexing and querying of time-series data, especially streaming data, using the semantic web approach. This system incorporates a special RDF vocabulary and a semantic interpretation for time relationships. The resulting framework, which we refer to as Time-Annotated RDF, provides basic functionality for the representation and querying of time-related data. The capabilities of Time-Annotated RDF were implemented as a suite of Java APIs on top of Tupelo, a semantic content management middleware, to provide transparent integration among heterogeneous data, as present in streams and other data sources, and their metadata. We show how this system supports commonly used time-related queries using TimeAnnotated SPARQL introduced in this paper as well as an analysis of the TA-RDF data model. Such prototype system has already seen successful usage in a virtual sensor project where near-real-time radar data streams need to be fetched, indexed, processed and re-published as new virtual sensor streams.