An improved DSS for a local human resource development emphasizing basic TQM practice

Nowadays, it is very crucial to increase competency skills of unemployed fresh graduates in Malaysia so as to overcome the rising of unemployment rate.Hence, training schemes and development courses are fruitful solutions to fill up the gap between what students studied at universities and what exactly labor markets need. Therefore, in this paper we propose an improved Decision Support System (DSS) for a Local Human Resource Development (LHRD), which emphasized the Total Quality Management practice.Specifically, the output is the DSS for the incorporative LHRD model, which is further improved by the Web-based training process to enhance the overall delivery of various training and development schemes. The implementation of the model is able to increase knowledge, skills and capacities of fresh graduates, thus increase their productivity as employees along with job satisfaction

Designing a framework for Sudanese Construction Industry

This paper investigates interdependencies between a construction organization’s “resources”, “project management capabilities”, “strategic decisions”, “strength of relationships with other parties” and “external factors” with “project performance” and “organization performance” from a resource based perspective which puts forward intangible assets of the organization. A structural equation model was set up to measure the seven latent variables through their constituent variables and to see if the hypothesized relationships exist. Based on the findings of this study, it can be concluded that, this paper has introduced a method to measure performance both in qualitative and the quantitative terms.

Automated document distribution with signature release authority using AI-based workstations and knowledge base servers.

Document distribution in a large corporation requires a set of routing procedures for each type of document. Documents may include memorandums, payroll reports, technical reports, external correspondence, and internal mail. Some of these documents may require managerial review and signature release authority to leave the organization. The document must be routed through the different levels of the organization according to the document procedures. The availability of the signers and reviewers becomes a delay factor in the routing of the document. This dissertation describes an approach to a solution to this problem using artificial intelligence and expert system concepts coupled with distributed computer networking to distribute the documents. A prototype system has been demonstrated. A document is originated as an "electronic file" on a user workstation (WS), called the Writer. The document is processed by an inference engine in the WS which also appends the list of Signers and Reviewers. The document is then sent to a Knowledge Base Server (KBS) which adds additional information regarding the distribution of the document. Each document contains headers for the communications network in the organization, distribution control header, and the document text body. The KBS stores the document according to the user profiles in the organizations. Activity of reviewing and signing the documents is originated at the user WS. The document is retrieved from the KBS, reviewed by the user, signed and returned to the KBS for intermediate storage. When the KBS has determined that the document has all the required signatures (Signwords), the document is sent to the final destination. The automated document distribution system summarized above has been demonstrated using a C language implementation on PC workstations and a UNIX-based KBS. The PCs are AT&T 6300 systems and the KBS is an AT&T 3B2/310 system. The communications network is a Sytek LocalNet 20 broadband local area network. Knowledge about document processing and distribution is distributed between local workstations' knowledge bases and the KBS. The second phase of the project involves implementing the system using AI and expert systems tools in the PCs and KBS

TONSILLECTOMY AND ADENOTONSILLECTOMY IN SUDANESE PATIENTS

Objectives: To highlight the indications for and complications of tonsillectomy oradenotonsillectomy operations in Sudanese patients and to find out whether any correlationcan bededuced between routinely requested pre-operative investigations and thecomplicationswhich may arise.Design: A prospective study.Setting: Khartoum ENT Teaching Hospital, Khartoum, Sudan.Subjects: One hundred and twenty patients, 55% females and 45% males, age range 3 to 50years. Pre-operative investigations consisted of a complete blood count and bleeding andclotting times., AS0 titres and urinalysis.Interventions: Consisted of tonsillectomy or adenotonsillectomy performed on in-patients byone of the authors under general anaesthesia.Main outcome measures: High erythrocyte sedimentation rate (ESR) or AS0 titres shouldnot deter an indicated tonsillectomy operation which can still be carried out if meticuloushaemostasis is observed.Results: Three or more episodes of exudative tonsillitis per year and upper airway obstructionwere the commonest indications for tonsillectomy or adenotonsillectomy accounting for72.5% and 16.7% of the operations. Intra-operative bleeding occurred in 63 (52.5%) of thepatients. Low figures of reactionary and secondary haemorrhages were seen.Conclusion: It is concluded that as bleeding, both intra- and post-operative is the maincomplication of tonsillectomy, its incidence can be reduced to minimal levels by carefulselection of patients, in whom the operation is carried out under general anaesthesia withgentle handling of tissues and detention of the patients post-operatively for two to three days.We also found out that coagulation tests need not be routinely requested and reserved forpatients with a history of bleeding tendencies

A new technique for position control of induction motor using adaptive inverse control

Control of Induction Motor (IM) is well known to be\ud difficult owing to the fact the models of IM are highly nonlinear\ud and time variant. In this paper, to achieve accurate control\ud performance of rotor position control of IM, a new method is\ud proposed by using adaptive inverse control (AIC) technique. In\ud recent years, AIC is a very vivid field because of its advantages.\ud It is quite different from the traditional control. AIC is actually\ud an open loop control scheme and so in the AIC the instability\ud problem cased by feedback control is avoided and the better\ud dynamic performances can also be achieved. The model of IM is\ud identified using adaptive filter as well as the inverse model of the\ud IM, which was used as a controller. The significant of using the\ud inverse of the IM dynamic as a controller is to makes the IM\ud output response to converge to the reference input signal. To\ud validate the performances of the proposed new control scheme,\ud we provided a series of simulation results