Our objective is to make proposals for the design of a SIS SID-quality and meet the needs of different stakeholders of the university. This is where we join (which is poorly modeled by the concept of data marts in the current tools of the market), namely the modeling of data resources. Often the documents are deposited on the information system of an organization without classification, without indexing, with all the information on their content, their purpose, their technical requirements and practices. The method of describing the properties of a document is a binding step involves an author and a culture of destruction of documents. Few users perform document properties they file on a system design and information. Then it is naturally more difficult to retrieve these information gaps which usually take the form of voids, it is still necessary that the input fields are provided adequate and appropriately organized, arranged and explained. Indeed, it often happens - for example on an intranet of an organization - the drop zones are not conducive to give relevant information on the properties of materials downloaded. In the best case, the documents are managed by their own systems, accessible through their own search engine or by federated search engines. Why we try to answer the question: how to reproduce a set of metadata specific to multidimensional databases specific to the decision-oriented universities.

Dhaka, the capital of Bangladesh could be the best illustration of human activities and associated environmental change. The capital Dhaka expanded rapidly between 1960 and 2005 built up areas increased approximately 15,924 ha, while agricultural land decreased 7,614 ha, vegetation decreased 2,336 ha, wetland /lowland decreased 6,385 ha, and water bodies decreased about 864 ha. The amount of urban land increased from 11% (in 1960) to 34% (in 2005). Historically, the direction of urban expansion of Dhaka has greatly been constrained by the low elevation of lands, surrounding rivers and risk of flooding also geomorphologic and hydrologically Dhaka city are greatly vulnerable to seasonal inundations. The present paper discusses comparative analysis of urban growth and flood risk in newly buildup urban areas of Dhaka, Bangladesh. Both primary and secondary data have been used in the present research. This study suggested comprehensive measures including structural and non structural measures that will be included a number of flood control and mitigation programs as well as alternative valuable resources for urban planners and decision makers to devise sustainable land use and environmental planning.

This paper examined the implications of Human Trafficking for Human Rights in Nigeria. The henomenon of human trafficking has taken an alarming dimension in Nigeria, such that it had become a big illegal criminal business. Human trafficking is now a daily occurrence in Edo and Delta States of Nigeria. Also, the spread of human trafficking to other States of the country is believed to be the fallout of massive unemployment and high level of poverty. Human trafficking is a major National problem for been a threat to fundamental human rights of the Nigerian citizenry. For an already crestfallen nation the added burden of crime of human trafficking which are infringements on the fundamental human rights of Nigeria, now transcend subliminal trauma. For most parents in Nigeria, the fear of sudden disappearances of their sons, daughters and wards of being trafficker victims are real and palpable. This paper examined the nature of human trafficking, how does it affect the human rights of Nigerians, and how to manage it with a view of preserving human rights in Nigeria. It was discovered that human trafficking is a crime against humanity. Recommendations were made on how it could be managed in order not to infringe on fundamental human rights of Nigerians.

The lightning is a natural phenomenon, unforeseeable and behaves as a perfect generator of the electrical current which can reach the two hundred Ampere kilos and then it is a problem classified like a serious wonder for the researchers. The induced transient over-voltages in the electric systems following electromagnetic radiations of the lightning represent the most severe constraint and most significant on the electrical power networks. In this paper we present an lightning analysis in the capacity as a transient source of surge current following model MTLE chosen among others, then an original contribution which defines an analytical model of the electromagnetic field radiated by the lightning for a particular situation and which gave satisfactory results by simulation compared with experimental measurements that we carried out us even at the laboratory of high voltage in EPFL in Switzerland and also of the other authors like G Berger, M.Uman and Rakov in Florid. A computation of the induced overvoltages in overhead electric lines on the basis of electromagnetic coupling model of Taylor interpreted the limit of our work in this paper

The current literature shows the existing curriculum models are unable to meet the needs of the today’s dynamic & complex education as the society is more open, diverse, multidimensional, fluid and more problematical. A generic curriculum model is proposed for all types of computer degree programs. The proposed model defines five meta-processes, a flexible structure for hidden and formal curriculum, and innovative ideas for branding and capstone project. Taking a futuristic approach and keeping an eye on the emerging needs of today’s knowledge driven society, the proposed model aims to transform students into valuable plug-n-play knowledge workers equipped with up-to-date knowledge, marketable skills, valuable competencies, unique expertise, globally compatible dispositions and culturally and professionally acceptable values. Through introducing competencies, expertise and dispositions among threshold standards we have given a new starting point for curriculum experts to extend the virtual boundaries of teaching-learning environment from classrooms to work-place environments. The proposed model not only meets the existing needs of the core computing disciplines but also accommodate the implications of newly emerging disciplines. Its flexible structure allows both institutions and faculty to decorate it according to their requirements.

Data mining, also known as Knowledge Discovery in Databases (KDD) is one of the most important and interesting research areas in 21st century. Frequent pattern discovery is one of the important techniques in data mining. The application includes Medicine, Telecommunications and World Wide Web. Nowadays frequent pattern discovery research focuses on finding co-occurrence relationships between items. Apriori algorithm is a classical algorithm for association rule mining. Lots of algorithms for mining association rules and their mutations are proposed on the basis of Apriori algorithm. Most of the previous algorithms Apriori-like algorithm which generates candidates and improving algorithm strategy and structure but at the same time many of the researchers not concentrate on the structure of database. In this research paper, it has been proposed an improved algorithm for mining frequent patterns in large datasets using transposition of the database with minor modification of the Apriori-like algorithm. The main advantage of the proposed method is the database stores in transposed form and in each iteration database is filtered and reduced by generating the transaction id for each pattern. The proposed method reduces the huge computing time and also decreases the database size. Several experiments on real-life data show that the proposed algorithm is very much faster than existing Apriori-like algorithms. Hence the proposed method is very much suitable for the discovering frequent patterns from large datasets.

Agriculture is the human enterprise that is most vulnerable to climate change. Tropical agriculture, particularly subsistence agriculture is particularly vulnerable, as smallholder farmers do not have adequate resources to adapt to climate change. While agroforestry may play a significant role in mitigating the atmospheric accumulation of greenhouse gases (GHG), it also has a role to play in helping smallholder farmers to adapt to climate change. A combination of participatory approaches including structured questionnaire, household survey, focus group discussions and field survey was conducted in Itu Local Government Area, Akwa Ibom State Nigeria. Climatic elements of rainfall, relative humidity and temperature were collected from Uyo Meteorological Station, Akwa Ibom for 30 years. The study was aimed at ascertaining changes in climate pattern and contribution of agroforestry to the adaptation in the study area. Rainfall shows a decreasing trend of -1.32mm/year. Temperature and relative humidity showed increasing trend of 0.6430C/ year and 0.13 percent year respectively. Major causes of climate change in the area are deforestation ,fossil fuel burning, land use system, pollution, population, military activities, and economic pressure that had ( 28%,20%, 15%,15%, 12%, 10% and 13% respectively). Impacts of climate identified by the respondents were longer distance to access water, firewood, poor crop yields, malnutrition loss of farm land, migration, difficulty in collecting forest product, food security and unemployment. Increase in soil nutrient, provision of shade to crops, erosion control, income generation and sources of vitamin were 63%, 54%, 44%, 55%, and 35% respectively. Thus, agroforestry offers the potential to develop synergies between efforts to mitigate climate change and efforts to help vulnerable farmers to adapt to the negative consequences of climate change.

Brand loyalty is determined by several distinct psychological processes of the consumers and entails multivariate measurements. Product features (Fragrance / Skin care / Germ fight features / Colour) is one of the most important factors that affect brand loyalty. The relationship between the availability of the toilet soap and the extent of brand loyalty was also found to be significant. Brand loyalty of toilet soap users in Dhaka city is moderately high. 63% of the consumers are brand loyal. On the contrary only 9% of the consumers are switchers and the rest of the users are loyal among few brands. 100% of softcorebeandloyals and switchers told if the soaps are not available they will choose any other brands without any consideration. 75% of the customers are influenced by the brand name and perceived brand image of the toilet soap. Brand loyalty also depends on the influence of family members. 62.96% of the consumers were found to be influenced by the family members in buying their toilet soap brands. The effect of sales promotion varied among different brand loyal groups. Hardcore brand loyals are very less interested in sales promotion while softcore brand loyals and switchers are very much interested. Interestingly price and advertisements have no significant effect on the extent of brand loyalty.

A research was conducted to design and evaluate a highly functional 3-component composite fillerbinder for direct compression. Tapioca starch (NTS) was modified physically at molecular level by annealing and enzyme hydrolyzed to obtain microcrystalline tapioca starch(MCTS) which was coprocessed with LMH and microcrystalline cellulose (MCC) to yield Microcrystarcellac (MSCL). NTS was extracted from cassava tuber ( Mannihot esculenta crantz ) using a standard method. The powder suspensions were prepared in concentration of 40 %w/w in five separate conical flasks. The starch granules were annealed for 1 h and subsequently hydrolyzed with α-amylase at 58o and pH 7 for 1, 2, 3, 4, and 5 h in a water bath. The reaction was terminated and neutralized with 0.1 N HCL and 0.1 N NaOH respectively. The MCTS was washed, recovered by sedimentation and air dried at room temperature for 72 h.

Digital technologies are playing a vital role in the present communication system. This paper presents a robust and secure watermarking method to protect the copyright information of multimedia objects. In the proposed method, Discrete Wavelet Transform and Discrete Cosine Transform are applied on the cover image and then Discrete Cosine Transform coefficients of watermark image are embedded into transformed cover image. The experimental result shows the performance evaluation of the proposed method by the quality metrics as PSNR for watermarked image and NC for extracted watermark image and we have compared the results with the existing transformation methods in frequency domain based on attacks.