Business and Social Behaviour Intelligence Analysis Using PSO

The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviour

Severe primary hypothyroidism leading to life threatening heavy menstrual bleeding: a case report

Thyroid disorders are one of the leading causes of abnormal uterine bleeding in women of all age groups and in India its prevalence in women is about 26%. Sequelae of thyroid disorders may vary from infrequent menstrual cycle, light menstrual bleeding to even a very severe life threatening heavy menstrual bleeding leading to anemia &shock. It occurs due to anovulation, endometrial hyperplasia and coagulation defects. Thyroid screening is important while investigating all cases of AUB. A 18 year old girl was brought to Dr. Bhim Rao Ambedkar Memorial Hospital Raipur with very severe anemia (Hb: 1.1gm/dl) and grade IV hemorrhagic shock (BP 50/30mm of Hg) but surprisingly pulse rate was normal (80bpm). Her peripheries were cold and clammy. SpO2 -80% on room air, she had facial puffiness and grade III pitting edema over her hands and feet. Her TSH was very high >100 µIU/ml with decreased (T4 - 0.678µg/dl, T3 - 0.359 µg/ml) suggestive of severe primary Hypothyroidism. USG was suggestive of bulky uterus with 14 mm endometrial thickness. Her shock was managed and tablet norethisterone, tranexamic acid, levothyroxine and iron supplements started. Severe hypothyroidism can cause life threatening uterine bleeding. This case is of peculiar interest because of profound hypothyroidism associated with hemorrhagic shock. Early recognition and proper management is important to prevent hazardous complications

Business and Social Behaviour Intelligence Analysis Using PSO

The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and selfdescriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviour

Business and Social Behaviour Intelligence Analysis Using PSO

The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviou