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Nowadays, when executives talk about "knowledge management", the discussion is usually prompted by the problem of big data and analytics. Of course, this is not surprising. Extraordinary amounts of complex, rich data on customers, operations, and staff are now available to most managers, but it is difficult to turn that data into useful knowledge....
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... this topology there is an input layer that receives the information, there are some hidden layers that take the information from the previous layers and finally there is an output layer where the result of the computation goes and the answers they take. Figure 2 shows a topology of a neural network. As shown in Figure (1), the topology consists of the input layer, the hidden layer, and the output layer. ...
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... and pressure and the output of these specimens has a moisture conductivity coefficient, then the neural network used has two neurons in the first layer and one neuron in the output layer or the last layer. In the first layer of the network, no conversion function is used, ie the input and output of the start layer nodes are the same. Now in Fig. 2 we consider the second layer or the hidden layer. Node A in this network receives three inputs from nodes 1, 2 and 3. The weighted sum of node A entries is equal to. This weighted sum is then used in the node A conversion function and produces the output of node A. For example, if we use the sigmoid conversion function, the output of ...
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... Alborz Province is situated between latitudes 35 • 37 and 36 • 50 N and longitudes 50 • 24 and 50 • 90 E. The average elevation of Alborz Province is 2600 m. With a moderate climate, this area is considered one of the most important areas for agriculture and livestock in Iran [45,46]. The study area has been facing problems, such as strong immigration of people from the rural areas and the city center (Tehran), as well as the development of new residential housing and industrial areas on former grass-and agricultural lands. ...
... Alborz Province is situated between latitudes 35°37′ and 36°50′ N and longitudes 50°24′ and 50°90′ E. The average elevation of Alborz Province is 2600 m. With a moderate climate, this area is considered one of the most important areas for agriculture and livestock in Iran [45,46]. The study area has been facing problems, such as strong immigration of people from the rural areas and the city center (Tehran), as well as the development of new residential housing and industrial areas on former grass-and agricultural lands. ...
The quick development of industrial sectors, tourism, and agriculture, which coincided with human habitation in cities, has led to the degradation of environmental qualities. Thus, a detailed plan is required to balance the development and environmental conservation of urban areas to achieve sustainability. This paper uses the environmental carrying capacity (i.e., ecological footprint and biological capacity) model to estimate ecological sustainability and achieve the desired balance. The results reveal that problems, such as unbalanced land development, the destruction of protected areas, and changes in land use in favor of industrial and residential development, persist in the area under study. Additionally, the studied area has been facing an ecological deficit since 1992. If this trend continues, the area will lose its chance for ecological restoration by 2030, when the ecological deficit reaches −3,497,368 hectares. The most important indicators in the ecological footprint were resource consumption in industries, water consumption in agriculture, and pollution generation from industries and household consumption. Therefore, in a sustainable scenario, the ratio of these indicators was changed based on Alborz’s development policies. In order to achieve ecological balance in the study area, short-, medium-, and long-term scenarios were proposed, as follows: (a) preventing the ecological deficit from reaching the critical threshold by 2030, (b) maintaining the ecological deficit at the same level until 2043, and (c) bringing Alborz to ecological balance (bringing the ecological deficit to zero) by 2072.
Argument extraction is the task of identifying arguments, along with their components in text. Arguments can be usually decomposed into a petition and one or more premises justifying it. In this paper, an approach to extract the arguments has been proposed. The proposed approach based on an Arabic lexicon included the main words which play an important role in arguments extraction. Text mining classical stages have been applied with the lexicon tool. The dataset has been collected from the Citizen Affairs Department in the service departments of the capital, Baghdad, Iraq, including more than 5000 petitions. The experimental results show that the proposed approach has a (91.5%) successful ratio in arguments extraction from the collected dataset.KeywordsArgument extractionLexicon-basedText mining
تغییر در شرایط کسبوکارهای عصرحاضر، منجر به تغییر در نگرش آنها شده است. از این رو، کارآفرینی یکی از عناصر مهم رشد و گسترش اقتصادی است و توجه اساسی که در چند سال اخیر به آن شده است موجب افزایش فرصتهای شغلی، رقابت، بهبود بهرهوری و افزایش سطح رفاه اقتصادی و اجتماعی جامعه گردیده است. براساس مرور در تاریخچه کارآفرینی، به باور بسیاری از پژوهشگران فرآیند کارآفرینی قابل آموزش است و از این طریق میتوان افراد را به سمت کارآفرینی سوق داد. فعالیتهای آموزشی به طور عمده از طریق ایجاد انگیزه و تغییر نگرش، بر عملکرد افراد و گروهها تاثیر مثبت میگذارد و از منظر فردی و گروهی سودمندند. بنابراین بهرهبرداری از فرصتهای کارآفرینی به کسبوکارها در دستیابی به ایجاد مزیت رقابتی و ایجاد ثروت کمک میکند.
تغییر در شرایط کسبوکارهای عصرحاضر، منجر به تغییر در نگرش آنها شده است. از این رو، کارآفرینی یکی از عناصر مهم رشد و گسترش اقتصادی است و توجه اساسی که در چند سال اخیر به آن شده است موجب افزایش فرصتهای شغلی، رقابت، بهبود بهرهوری و افزایش سطح رفاه اقتصادی و اجتماعی جامعه گردیده است. براساس مرور در تاریخچه کارآفرینی، به باور بسیاری از پژوهشگران فرآیند کارآفرینی قابل آموزش است و از این طریق میتوان افراد را به سمت کارآفرینی سوق داد. فعالیتهای آموزشی به طور عمده از طریق ایجاد انگیزه و تغییر نگرش، بر عملکرد افراد و گروهها تاثیر مثبت میگذارد و از منظر فردی و گروهی سودمندند. بنابراین بهرهبرداری از فرصتهای کارآفرینی به کسبوکارها در دستیابی به ایجاد مزیت رقابتی و ایجاد ثروت کمک میکند.
Due to the high sampling rate, the recorded Electrocardiograms (ECG) data are huge. For storing and transmitting ECG data, wide spaces and more bandwidth are therefore needed. The ECG data are also very important to preprocessing and compress so that it is distributed and processed with less bandwidth and less space effectively. This manuscript is aimed at creating an effective ECG compression method. The reported ECG data are processed first in the pre-processing unit (ProUnit) in this method. In this unit, ECG data have been standardized and segmented. The resulting ECG data would then be sent to the Compression Unit (CompUnit). The unit consists of an algorithm for lossy compression (LosyComp), with a lossless algorithm for compression (LossComp). The random-ness ECG data is transformed into high randomness data by the failure compression algorithm. The data's high redundancy is then used with the LosyComp algorithm to reach a high compression ratio (CR) with no degradation. The LossComp algorithms recommended in this manuscript are the Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). LossComp algorithms such as Arithmetic Encoding (Arithm) and Run Length Encoding (RLE) are also suggested. To evaluate the proposed method, we measure the Compression Time (CompTime), and Reconstruction Time (RecTime) (T), RMSE and CR. Simulation results suggest the highest output in compression ratio and in complexity by adding RLE after the DCT algorithm. The simulation findings indicate that the inclusion of RLE following the DCT algorithm increases performance in terms of CR and complexity. With CR = 55
In the current investigation, there was the use of the technology of machine vision. The usage of this technology was informed by the need to have the laser spot’s highest energy positioned precisely, eventually allowing for the facilitation of further product work piece joining. Indeed, the joining occurred in laser welding machinery. Relative to the displacement phase, it is notable that it could aid in work piece placement into superposition areas, upon which there could be the joining of the parts. Training programs or models that were used involved convolutional neural network and deep learning, which allowed for the resultant system’s enhancement of the accuracy with which the positioning could be achieved. Also, the aforementioned algorithms were insightful because they led to the enhancement of machine work efficiency. Similarly, in the study, there was the proposing of a bi-analytic deep learning localization technique. For the purpose of system monitoring in real time, there was the use of a camera. As such, the initial stage entailed the application of the convolutional neural network, which aided in the implementation of large-scale initial searchers before having the laser light spot zone located. In turn, the phase that followed entailed increasing the camera’s optical magnification, which paved the way for the spot area’s re-imaging, as well as the application of a template matching method to ensure that high-precision repositioning was achieved. When the parameter of the search result area’s ratio was considered, it could be seen that the study was able to determine the target spot’s integrity parameters. For the case of the complete laser spot, there was the performance of the centroid calculation. Also, in situations where an incomplete laser spot reflected the target, there was the performance of invariant moments’ operation. From the findings, the study indicated that from incomplete laser spot images, the laser spot’s highest energy could be positioned precisely. The study also established that in order to establish the displacement amount, the image’s center and the laser spot’s highest energy could be overlapped.
