Sentiment analysis is one of the most important issues that take place now days, it depends on classifying text files that contain opinions, social network such as (blogs ,facebook, discussion groups,..) participate in increasing the importance of sentiment analysis. Sentiment analysis is used to determine the percentage of approval or refutation based on comments in the files. Although Arabic one of the most rich language and become the first language for more than 24country, studies in sentiment analysis is not enough to show the importance of this issue. This paper presents collective intelligence based multi aspect sentiment analysis for Arabic language. The proposed system depends on a hybrid machine learning algorithms, i.e. Support Vector Machine (SVM), Naive Bays (NB) and Hidden Markove Model (HMM) for Arabic language sentiment analysis. The results show that the proposed system outperforms other systems which use single aspect for sentiment analysis.
Asynchronous Transfer Mode (ATM) is a multiplexing/switching protocol for broadband services where information flow on logical connections are organized in fixed size cells called packets. The fundamental problem of this wide area switched networks is packet losses due to congestion, bit errors or deliberate discards/. This paper focused on the reduction of packet losses to ensure optimal performance of the ATM network. analysis of the distribution of consecutive cell losses in ATM switch and loss process analysis of the knockout switch using stochastic activity networks are proposed. Ultras AN, a SAN based performance modeling and analysis tool were used to automatically generate and construct the needed Markov processes of the underlying stochastic activities of the switch and workload. Packet losses and loss rate were determined using active probe utilities. Results showed that a percentage of 0.01 to 10 percent reduction in packet losses were achieved by the combination of high activity fractions and low loads.
Error correction codes are widely used in almost all digital systems as they provide a method for dealing with the unknown like noise. This research investigated the role of reducing error rates in image transmission over 3G systems using convolutional coding technique in MATLAB. The error correction code employed was the convolutional error correction codes. The performance of the codes are evaluated based on key performance indicators like Bit Error Rate (BER), number of symbols or data compared and number of errors detected. For the verification of proposed approach, computer simulation results are included. The results show a comparison of the performance terms of their Bit Error Rate (BER) of convolutional code with different code rate ( ½ and 1 /3 ) used. Based on the results, between 60% and 65% improvement on coding was achieved between reference points of 10-2 and 10-4 respectively for the two code rates. The results also show that as the Bit Error Rate (BER) decreased, the coded system can transmit data signals with at least 3dB less power, so making the performance of the coded system better than the uncoded system.
Currently computers are used in all areas of research and development. Main theme of this article is how and why we will use the high level programming languages like C/C++ languages for simple calculation in physics. This article reports the energy band gap of materials using C program. The calculation made by characterization of sample using absorbance spectrum of sample is obtained from UV–Vis Spectrometer. We have written and executed the C program successfully for the calculation of band gap energy. While executing the program we got better and accurate results.
Many goods undergo decay or deterioration over time which suffer from depletion by direct spoilage while stored. So decay or deterioration of these goods in stock is a very realistic feature and it is necessary to use this factor in inventory models. In this paper we have developed an order level inventory model for constant rate of deterioration. We have also considered a variable type of demand which behaves differently in the given time horizon. The demand rate is constant for a certain fixed time and then the demand varies linearly with time. This paper also deals with different selling prices in two different time periods. The objective of the model is to find the optimal on-hand inventory by considering the profit function.
The main purpose of the study is to design and develop an Android Security Application that will secure contacts, conversations, and pertinent files once the phone was lost. The application can detect the new mobile number of the new user if replaced by another Subscriber Identity Module (SIM) card and the cell phone will be set in flight mode. In order to make the study possible, several methods and techniques were employed in developing an efficient security application that is capable of retrieving contacts and detecting new SIM card number. The study utilized developmental research design to simulate and explain various conditions that may affect the achievement of the objectives of the study. After developing the application, the researcher did several tests on how the application behaves when installed with android phones having different operating system’s versions. The developed application was evaluated and showed a good acceptability level based on the respondents evaluation. The system was found acceptable and has a “Very Good” rating as reflected by the computed grand mean of 4.64. The researcher recommends pre-installing the application in every Android Operating System so that when the phone was formatted, the application will not be deleted.