Humans communication is generally under the control of emotions and full of opinions. Emotions and their opinions plays an important role in thinking process of mind, influences the human actions too. Sentiment analysis is one of the ways to explore user’s opinion made on any social media and networking site for various commercial applications in number of fields. This paper takes into account the basis requirements of opinion mining to explore the present techniques used to developed an full fledge system. Is highlights the opportunities or deployment and research of such systems. The available tools used for building such applications have even presented with their merits and limitations.
In this paper, we consider a criminal investigation on the collective guilt of part members in a working group. Assuming that the statistics we used are reliable, we present the Page Rank Model based on mutual information. First, we use the average mutual information between non-suspicious topics and the suspicious topics to score the topics by degree of suspicion. Second, we build the correlation matrix based on the degree of suspicion and acquire the corresponding Markov state transition matrix. Then, we set the original value for all members of the working group based on the degree of suspicion. At the last, we calculate the suspected degree of each member in the working group. In the small 10-people case, we build the improved Page Rank model. By calculating the statistics of this case, we acquire a table which indicates the ranking of the suspected degree. In contrast with the results given in this issue, we find these two results basically match each other, indicating the model we have built is feasible. In the current case, firstly, we obtain a ranking list on 15 topics in order of suspicion via Page Rank Model based on mutual information. Secondly, we acquire the stable point of Markov state transition matrix using the Markov chain. Then, we build the connection matrix based on the degree of suspicion and acquire the corresponding Markov state transition matrix. Last, we calculate the degree of 83 candidates. From the result, we can see that those suspicious are on the top of the ranking list while those innocent people are at the bottom of the list, representing that the model we have built is feasible. When suspicious topics and conspirators changed, a relatively good result can also be obtained by this model. In the current case, we have the evidence to believe that Dolores and Jerome, who are the senior managers, have significant suspicion. It is recommended that future attention should be paid to them. The Page Rank Model, based on mutual information, takes full account of the information flow in message distribution network. This model can not only deal with the statistics used in conspiracy, but also be applied to detect the infected cells in a biological network. Finally, we present the advantages and disadvantages of this model and the direction of improvements.
Effects of Supply Chain Management Practices On The Performance Of Banks In K...Editor IJCATR
The paper examines the adoption of the Supply Chain Management practices on the performance
of Banks in Kenya. This research conceptualizes and develops four dimensions of SCM practice
(outsourcing of goods & services, information & communication technology, strategic supplier
partnership, and globalization) and tests the relationships between SCM practices, and
organizational performance. The study employed descriptive design. Data for the study was
collected using a self-administered questionnaire procedure, where the questionnaires were
administered to the selected respondents through drop and pick later technique. A sample size of
33 respondents was drawn from the sample frame using simple stratified random sampling
technique to promote the needs for efficiency and representativeness from various branches and
outlets of Postbank as an organization in Nairobi County and the relationships proposed in the
framework was tested using Chi-square, T-test among other statistical tools. Data was analyzed
by aid of Statistical Package for Social Sciences (SPSS). The study will be useful in the academic
circles as it will contribute immensely towards filling the gaps in knowledge in the area of service
industry. The study found that outsourcing was important to the banks only when the appropriate
methods are employed. It also found that ICT had a major role in determining the performance of
banks as it dictated the mode of transaction and data they displayed to clients. Strategic
partnership was also important based on what it intended to achieve in enhancing the performance
of banks. Lastly, globalization is equally vital as it increases competition and exposes local banks
to global scene to experience how performance of banks can be improved. The study recommends
that correct ICT methods should be applied to promote the competitiveness of banks and improve
performance. Also it recommends that outsourcing be done only if they promote the objectives and
goals of the banking institute.
Neuro-Fuzzy Model for Strategic Intellectual Property Cost ManagementEditor IJCATR
Strategic Intellectual property (IP) management requires strategic IP creation cost management. It is ideal to
be able to proactively estimate the cost of creating IP. This would facilitate the alignment of IP creation activities in order
to meet strategic management objectives. This paper proposes the use of Neuro-fuzzy model for strategic management
of IP cost management. The extraction of the variables for the model is based on the Activity Based Costing techniques.
A Reliable Routing Technique for Wireless Sensor NetworksEditor IJCATR
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
Humans communication is generally under the control of emotions and full of opinions. Emotions and their opinions plays an important role in thinking process of mind, influences the human actions too. Sentiment analysis is one of the ways to explore user’s opinion made on any social media and networking site for various commercial applications in number of fields. This paper takes into account the basis requirements of opinion mining to explore the present techniques used to developed an full fledge system. Is highlights the opportunities or deployment and research of such systems. The available tools used for building such applications have even presented with their merits and limitations.
In this paper, we consider a criminal investigation on the collective guilt of part members in a working group. Assuming that the statistics we used are reliable, we present the Page Rank Model based on mutual information. First, we use the average mutual information between non-suspicious topics and the suspicious topics to score the topics by degree of suspicion. Second, we build the correlation matrix based on the degree of suspicion and acquire the corresponding Markov state transition matrix. Then, we set the original value for all members of the working group based on the degree of suspicion. At the last, we calculate the suspected degree of each member in the working group. In the small 10-people case, we build the improved Page Rank model. By calculating the statistics of this case, we acquire a table which indicates the ranking of the suspected degree. In contrast with the results given in this issue, we find these two results basically match each other, indicating the model we have built is feasible. In the current case, firstly, we obtain a ranking list on 15 topics in order of suspicion via Page Rank Model based on mutual information. Secondly, we acquire the stable point of Markov state transition matrix using the Markov chain. Then, we build the connection matrix based on the degree of suspicion and acquire the corresponding Markov state transition matrix. Last, we calculate the degree of 83 candidates. From the result, we can see that those suspicious are on the top of the ranking list while those innocent people are at the bottom of the list, representing that the model we have built is feasible. When suspicious topics and conspirators changed, a relatively good result can also be obtained by this model. In the current case, we have the evidence to believe that Dolores and Jerome, who are the senior managers, have significant suspicion. It is recommended that future attention should be paid to them. The Page Rank Model, based on mutual information, takes full account of the information flow in message distribution network. This model can not only deal with the statistics used in conspiracy, but also be applied to detect the infected cells in a biological network. Finally, we present the advantages and disadvantages of this model and the direction of improvements.
Effects of Supply Chain Management Practices On The Performance Of Banks In K...Editor IJCATR
The paper examines the adoption of the Supply Chain Management practices on the performance
of Banks in Kenya. This research conceptualizes and develops four dimensions of SCM practice
(outsourcing of goods & services, information & communication technology, strategic supplier
partnership, and globalization) and tests the relationships between SCM practices, and
organizational performance. The study employed descriptive design. Data for the study was
collected using a self-administered questionnaire procedure, where the questionnaires were
administered to the selected respondents through drop and pick later technique. A sample size of
33 respondents was drawn from the sample frame using simple stratified random sampling
technique to promote the needs for efficiency and representativeness from various branches and
outlets of Postbank as an organization in Nairobi County and the relationships proposed in the
framework was tested using Chi-square, T-test among other statistical tools. Data was analyzed
by aid of Statistical Package for Social Sciences (SPSS). The study will be useful in the academic
circles as it will contribute immensely towards filling the gaps in knowledge in the area of service
industry. The study found that outsourcing was important to the banks only when the appropriate
methods are employed. It also found that ICT had a major role in determining the performance of
banks as it dictated the mode of transaction and data they displayed to clients. Strategic
partnership was also important based on what it intended to achieve in enhancing the performance
of banks. Lastly, globalization is equally vital as it increases competition and exposes local banks
to global scene to experience how performance of banks can be improved. The study recommends
that correct ICT methods should be applied to promote the competitiveness of banks and improve
performance. Also it recommends that outsourcing be done only if they promote the objectives and
goals of the banking institute.
Neuro-Fuzzy Model for Strategic Intellectual Property Cost ManagementEditor IJCATR
Strategic Intellectual property (IP) management requires strategic IP creation cost management. It is ideal to
be able to proactively estimate the cost of creating IP. This would facilitate the alignment of IP creation activities in order
to meet strategic management objectives. This paper proposes the use of Neuro-fuzzy model for strategic management
of IP cost management. The extraction of the variables for the model is based on the Activity Based Costing techniques.
A Reliable Routing Technique for Wireless Sensor NetworksEditor IJCATR
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
