EVALUATING INTERNET PROTOCOL VERSION 6 (IPv6) AGAINST VERSION 4 (IPv4)

This paper evaluates the performance of IPv6 against IPv4. IPv4 has address space shortages. The use of Classless Inter-Domain Routing (CIDR) and Network Address Translation (NAT) helped to address these shortages. However, Featuresbuilt into IPv6 such as autoconfiguration, IPSec, Mobility, Multiple addresses for hosts and networks, Multicastcommunication make it well worth the cost, time and effort required to migrate to it. Performance metrics used in order toanalyze the protocols are network delay, network drop, and throughput. Results showed that IPv6 is not better in terms ofpacket management than IPv4. The results also showed that IPv6 has higher delay, and packet drop than IPv4; though themargin between the values are however small. It was also found that IPv6 has a higher throughput. It is hereby concluded,that even though IPv4 is performing better, it will not solve the address limitation problem. This has made it inevitable torecommend IPv6 as a replacement for the IPv4.Keywords: Latency, Throughput, PacketDrop, NAT, Mobility, Autoconfiguration

Biochemical evaluation of Gmelina arborea fruit meal as a swine feedstuff

An experiment was conducted to evaluate the influence of Gmelina arborea fruits (GAF) meal on haematology and certain biochemical parameters including blood enzyme profile of wean pigs. 16-piglets, 8-males and 8-females averaging 12.41 ± 0.59 kg live weight from Hampshire commercial breed were allotted to four dietary treatment groups each consisting of four piglets per treatment group in a completely randomised design. The diets formulated on iso-nitrogenous and iso-energetic basis had Diet 1 containing 30% processed GAF meal and was taken as a reference Diet while Diets 2, 3 and 4 contained 10, 20 and 30% raw GAF meal respectively. The experimental diets and water were supplied to appetite in a feeding trial which lasted for 28 days. There were no statistically significant differences in haematological parameters (p > 0.05) except lymphocytes and neutrophils of the leucocytes differential count (p < 0.05). There were also no significant differences in the selected blood enzymes and serum biochemical parameters of the trial animal models (p >0.05). Urine analyses similarly showed no significant difference in urea and creatinine excretions except that there was a significant difference in uric acid produced (p < 0.05). An overall assessment of the study indicated that values of some parameters measured tended to decrease (in case of blood indices and serum constituents) and increase (with regards to blood urea nitrogen, creatinine in blood and urine and uric acids) though not significantly as the dietary inclusion level of raw GAF meal increased. It was therefore concluded that GAF when processed or incorporated at lower levels has no adverse effect on animals.Keywords: Gmelina arborea, diets, pi

MIGRATING BUSINESS SERVICES AND APPLICATIONS INTO THE CLOUD

Cloud computing has attracted a lot of hyperbole since it became a trendy topic for IT managers to talk about. Companiesfrequently trumpet their cloud enabled services but rarely give up details on precisely how they achieved this or how muchof their infrastructure has been fully migrated. Security and reliability of cloud services are often raised as concerns. Byunderstanding the basics of cloud computing and knowing how to assess important factors such as security and theidentification of systems that are suitable for migration, it becomes much easier to design and implement a cloud strategy.This paper provides the essential facts about the cloud computing, list some factors to prepare for when adopting cloudcomputing, consideration for managers migrating their services and applications into the cloud. It also discussed the meritsof going into the cloud.Keywords: Cloud Computing, Public Cloud, Service as a Service, Application Migration, Decision Makin

An Improved Technique for Multi-Dimensional Constrained Gradient Mining

Multi-dimensional Constrained Gradient Mining, which is an aspect of data mining, is based on mining constrained frequent gradient pattern pairs with significant difference in their measures in transactional database. Top-k Fp-growth with Gradient Pruning and Top-k Fp-growth with No Gradient Pruning were the two algorithms used for Multi-dimensional Constrained Gradient Mining in previous studies. However, these algorithms have their shortcomings. The first requires construction of Fp-tree before searching through the database and the second algorithm requires searching of database twice in finding frequent pattern pairs. These cause the problems of using large amount of time and memory space, which retrogressively make mining of database cumbersome.  Based on this anomaly, a new algorithm that combines Top-k Fp-growth with Gradient pruning and Top-k Fp-growth with No Gradient pruning is designed to eliminate these drawbacks. The new algorithm called Top-K Fp-growth with support Gradient pruning (SUPGRAP) employs the method of scanning the database once, by searching for the node and all the descendant of the node of every task at each level. The idea is to form projected Multidimensional Database and then find the Multidimensional patterns within the projected databases. The evaluation of the new algorithm shows significant improvement in terms of time and space required over the existing algorithms.  &nbsp

A Review of Voice-Base Person Identification: State-of-the-Art

Automated person identification and authentication systems are useful for national security, integrity of electoral processes, prevention of cybercrimes and many access control applications. This is a critical component of information and communication technology which is central to national development. The use of biometrics systems in identification is fast replacing traditional methods such as use of names, personal identification numbers codes, password, etc., since nature bestow individuals with distinct personal imprints and signatures. Different measures have been put in place for person identification, ranging from face, to fingerprint and so on. This paper highlights the key approaches and schemes developed in the last five decades for voice-based person identification systems. Voice-base recognition system has gained interest due to its non-intrusive technique of data acquisition and its increasing method of continually studying and adapting to the person’s changes. Information on the benefits and challenges of various biometric systems are also presented in this paper. The present and prominent voice-based recognition methods are discussed. It was observed that these systems application areas have covered intelligent monitoring, surveillance, population management, election forensics, immigration and border control

VISUALIZING E-VOTING RESULTS

Recently, the urge for e-voting has been described to be the inevitable future of electioneering in most countries of the world. Despite all its good features, like the other voting systems it has been seen to also be susceptible to rigging and fraud. Some of its undesirable features include not allowing recounting of votes after election in case of a protest like the others. Another issue is that of erroneous software which can greatly affect the result of the election. All these is further compounded by the fact that voting systems deals with very large amount of data that is collected from a distributed population source hence the raw data are extremely difficult to comprehend and therefore monitor. This paper attempts to solve this problem using a TreeMap based visualization technique to monitor in real-time the distributed balloting and voting processes. The paper proved that TreeMap algorithms can be configured and deployed on the central server to monitor effectively the voting transactions in real-time and hence enable transparency

Augmented Reality Prototype for Visualising Large Sensors’ Datasets

This paper addressed the development of an augmented reality (AR) based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil leakages sensors datasets. Sensors generates significant amount of multivariate datasets during normal and leak situations which made data exploration and visualisation daunting tasks. Therefore a model to manage such data and enhance computational support needed for effective explorations are developed in this paper. A challenge of this approach is to reduce the data inefficiency. This paper presented a model for computing information gain for each data attributes and determine a lead attribute.The computed lead attribute is then used for the development of an AR-based scientific visualization interface which automatically identifies, localises and visualizes all necessary data relevant to a particularly selected region of interest (ROI) on the network. Necessary architectural system supports and the interface requirements for such visualizations are also presented

Mining intelligent E-voting data: A framework

Intelligent e-voting data has been shown to pose a lot of benefit to e-voting especially in the area of security and recounting. After the election and balloting processes, valuable knowledge can still be extracted from this data. This work provides a framework model as roadmap for developers to follow in future development of such a system. The Perl based sample tested showed optimum performance and hence proves the viability of the methodology

Occurrence and population distribution of plant parasitic nematodes associated with roselle (Hibiscus sabdariffa L.) in northern Nigeria

Pests including nematodes have been reported as a limiting factor to the production of roselle worldwide. A survey of rosellefarmsinsix Northern Sates of Nigeria was conductedin 2013 to identify the diverse nematode species associated with the soils and roots of the plant and determine their population densities on farmers’ fields. Eightsoil and ten plant samples were randomly collected from each of twenty farms from which nematodes were extracted and identified. Four genera of plantparasitic nematodes (Meloidogyne spp., Helicotylenchus spp., Rotylenchulus spp.and Tylenchus spp.) were found in association with roots and rhizosphere of roselle plants. Meloidogyne were most populous (62.29%) on the roots while Tylenchuswas least (1.68%). Helicotylenchus spp appeared in highest density (50.05%) in plant rhizosphere, but not identified from the roots. The highest percentage of nematode population (22.7 %) wasfrom Katsina, followed by Sokoto (21.6%), Jigawa (17.4%), Zamfara (16.5%), Kano (15.1%) and Kaduna states (6.7%).The generally low nematode density observed might be due to low precipitation and high soil temperature of the six states. Occurrence of varied species of nematodes demands effective control measures for improved roselle productivity. Kano, Zamfara and Jigawawith low nematode population densities can be considered for further research towards the establishment of pest-free areas or area of low pest prevalence for roselle nematodes in Nigeria, useful in the agricultural export trade. Further studies are required on the determination of density economic threshold and the definitive roles of nematodes in causing low productivity of roselle.Keywords: Export value, Hibiscus sabdariffa, nematodes, population densities, pest-free are