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Knowledge Management as an Integral Component of the SMEs’\ud Organizational Development in the Republic of Macedonia
Full text linkThe strong progress and development of the information technology, especially the availability and massive use\ud
of the Internet, has led to that the 90-ies of the last century to be remembered as a period of quiet and\ud
spontaneous transition towards the new postindustrial age in which the soft values of the organizations defined in\ud
the terms organizational learning, knowledge management, intellectual capital, organizational intelligence etc.,\ud
transformed the knowledge into a key resource for sustainable growth and innovative development of each\ud
company.Therefore, it is rightly pointed out that the central task of the modern managers is to learn how to\ud
manage the business knowledge, i.e., to understand the principles of knowledge networking and its effective use\ud
through the technological, human and business networks. This directs towards creation of appropriate strategies,\ud
including the strategy for development of the organizational knowledge as a planned and deliberated managing\ud
process in the new technology – productive and economic context.Although the inertia makes many\ud
organizations in the country to still act traditionally, the reality shows them the dysfunction and unsustainability\ud
of such way of operating. Emphasis on the so called “sharers of knowledge communities” which increasingly\ud
pose themselves as a real business context, should lead also in our country to a shift of the focus of interest\ud
towards the knowledge, the communities and relationships. This should be preceded by a period of change and\ud
development of awareness for the importance of the interpersonal dependence as an aspect of the appropriate\ud
organizational culture, which in many researches emerges as a central variable of the change.In this context, the\ud
processes of re-cultivation is necessary to lead toward values such as: free flow of knowledge, readiness for\ud
initiating, accepting, creating, sharing, etc., as a basis of the new culture of organizational learning and\ud
knowledge management.The basic assumption of this paper is to emphasize the importance of the knowledge for\ud
the SMEs i.e. their awareness of its place and role as a fundamental resource in the circumstances of modern\ud
business. Therefore, a simple methodological procedure is used - a survey conducted on a sample of 201\ud
organizations from the SME sector in the cities of Skopje, Bitola, Ohrid, Prilep, Kumanovo, Kavadarci, Resen,\ud
Krushevo and Demir Hisar. Indicative results have been obtained that point to valid conclusions.\ud
Keywords: knowledge management, change, organizational developmen
Performance evaluation of UWB signaling at mmWaves
No full textUltra-wideband (UWB) radios have the potential to achieve very high data rates. However, the coverage is limited over very short ranges, due to the tight limits imposed to the allowed transmission power by the worldwide spectrum regulation at microWaves. Recently, a very large bandwidth has been made available by worldwide regulation at mmWaves. Wide consensus is achieved on the future utilization of the spectral region around 60 GHz for multi-Gbps wireless LAN connectivity. Given the availability of a very large band, up to 7 GHz, mmWaves appear as the natural candidate for UWB transmissions. The aim of this paper is to evaluate the performance of impulse radio (IR)-UWB signalling when operating at mmWaves, i.e., around 60 GHz. The analysis is based on a semi-analytical approach, where the bit error rate (BER) for pulse position modulation (PPM) and pulse amplitude modulation (PAM) is analytically computed and averaged over the empirical probability density function of the signal-to-noise-ratio (SNR) as obtained from a significant set of experimental impulse responses of the UWB indoor channel at mmWaves. These channel impulse responses have been collected through a measurement campaign in a modern office building at eight carrier frequencies spanning the band from 54 to 59 GHz and from 61 to 66 GHz. The results show a promising potential for mmWaves UWB radios
ROLE OF SENSORS IN INTELLIGENT MANUFACTURING SYSTEMS
Full text linkGlobalization, exchangeable market requirements and\ud
modern lifestyle trends establish tremendous challenge to\ud
manufacturing industries. Today, the competitiveness of any\ud
manufacturing industry is determined by its ability to respond quickly\ud
to the rapidly changing market and to produce high quality products at\ud
low costs. However, the product cost is no longer the predominant\ud
factor affecting the manufacturers’ perception. Other competitive\ud
factors such as flexibility, quality, efficient delivery and customer\ud
satisfaction are also subject of consideration. Manufacturing industries\ud
have an ambition to achieve these capabilities through automation,\ud
robotics and other innovative concepts. Intelligent manufacturing\ud
systems (IMS) are means to accomplish the requirements such as\ud
reduction of inventories and market-response time to meet customer\ud
demands, flexibility to adapt to the changes in the market, reducing the\ud
cost of products and services to include more market shares as well as\ud
elimination of worker hand intervention. All IMS subsystems are\ud
equipped with highly effective sensors for perceiving inputs and acting\ud
accordingly. This paper defines the components of a simplified\ud
intelligent manufacturing systems (IMS) and illustrates the\ud
classification of the most frequently used kinds of sensors (tactile,\ud
proximity, vision). Correctly selected, installed and trained\ud
(programmed) sensor will significantly extend the operational\ud
capability of the system. Because CAx-technologies” (computer-aided\ud
technologies) are an integral part of every intelligent manufacturing\ud
this paper also presents uses of their integration
Evaluation of physical activities recommendation methodology for blood glucose level regulation
No full textProviding patients with convenient health facilities at a low cost has always been a great challenge for health service providers. Moreover, the fast changing life style of the modern world and the problem of aging society pose an urgent need to modernize such facilities. The emphasis has to be paid on providing health monitoring in out-of-hospital conditions for elderly people and patients who require regular supervision, particularly in remote areas. This paper presents a recommendation algorithm, which incorporates collaboration and classification techniques in order to generate recommendations and suggestions for the physical activities that the users should carry out in order to improve their health. The algorithm has been evaluated using generic data and considering the daily food intake. The results of the experimental evaluation show that the algorithm is robust and could suggest the physical activities that might compensate the influence of the food intake over the blood glucose level
Continuous real time monitoring of patient’s vital signs based on ZigBee standard
No full textThis paper gives an understanding of what possibilities Wireless Body Area Network (WBAN) have when using shortrange wireless communications protocols. There advantages are used to facilitate versatility in the movements of health care patients. The paper investigates the feasibility of using the ZigBee protocol, givean analysis of methods for collection of received data from multi sensor environment, and mechanisms for privacy and data protection by using encryption techniques. This characteristics are applied on previously developed collaborative healthcare system model (COHESY).COHESY is aimed at continuous real time remote patients’ health monitoring
A statistical model for the shadowing induced by human bodies in the proximity of a mmWaves radio link
Full text link5G technology is a broad concept that describes the envisaged disruptive evolution of communication technology in the near future, with a dramatic increase in the network data-rate and capacity to support a variety of innovative services. The exploitation of the new spectrum available at mmWaves represents a key enabler for 5G. mmWaves are expected to revolutionize the indoor wireless connectivity providing a very large capacity at very high data rates. It is well known that mmWaves radio links are strongly influenced by human bodies and this issue is very relevant in indoor environments. Several models are available for ray-tracing investigations and line-of-sight blockage, whereas statistical models enabling tractable analytical studies and simulations of mmWaves wireless systems, accounting for people in the link's proximity, are still lacking. In this paper, measurements of 60 GHz channel impulse responses in static but “evolutionary” office scenarios that involve one, two and three individuals are presented. Regression fits are applied to the experimental responses to obtain an accurate characterization of human-induced shadowing events in both proximity and blockage situations. Tractable statistical models are provided for different scenarios and for eight carrier frequencies spanning the bands from 54 to 59 GHz and from 61 to 66 GHz
Evaluation of Web Users' Demographic Data Classifiers — A Case Study
No full textNowadays, the usage of web is directed toward the user. Special emphasis is placed on targeted web advertising and dynamic web content personalization, based on web users' demographics. Among web users' demographic data prediction techniques, classification is commonly used approach. In this paper we present a data mining methodology which combines various performance measures for evaluation of web users' demographic data classifiers, based on a case study. Demographic attributes of interest for our study are: gender and age. First attribute leads to a binary decision problem, versus the multiclass decision problem using the second attribute. The performance scores are analyzed experimentally, over real data obtained from a web log file and a survey, using 4 single classifiers and 3 ensembles. The evaluation is performed in two directions: by class evaluation and summarized evaluation. In the both directions we discovered that there is no single classifier that achieves best performance scores for all measures, but generally: (i) K-Nearest Neighbors (K=3) and Na\"\ive Bayes are preferred as single classifiers and ii) Bagging in combination with Na\"\ive Bayes is preferred over the ensembles
BER of IEEE 802.11ad OFDM radios vs. carrier frequency in real 60 GHz indoor channels
Full text linkMulti-gigabit 60 GHz radios are expected to match QoS requirements of modern multimedia applications. Several published standards were defined based on performance evaluations over standard channel models. Unfortunately, those models, and most models available in the literature, do not take into account the behavior of 60 GHz channels at different carrier frequencies, thus no guidelines are provided for the selection of the best suitable frequency band for a given service. This paper analyzes the impact of changes in multipath profiles, due to both frequency and distance, on the BER performance achieved by IEEE 802.11ad 60 GHz radios. Our analysis is based on real experimental channel impulse responses recorded through an indoor measurement campaign in seven sub-bands from 54 to 65 GHz with a break at 60 GHz at distances from 1 to 5 m. The small-scale fading is modeled by Rician distributions with K-factors extracted from experimental data, which are shown to give good agreement with the empirical distributions. A strong dependence of performance on both frequency and distance due to the sole multipath is observed, which calls for an appropriate selection of the best suitable frequency band according to the service required by the current session over the 802.11ad link