The Need of Incorporating Indigenous Knowledge Systems into Modern Weather Forecasting Methods

The study was aimed to examine the need of incorporating traditional weather forecasting renowned indigenous knowledge system (IKS) into modern weather forecasting methods to be used for planning farming activities. In addition, not only gap that is not infused by current weather forecasting system with their advanced studies to understand why it is incorporated into existing technical frameworks was regarded, but also the limitation of advanced weather forecasting approach and strength to be elicited by indigenous knowledge system are crucial. Perspicuously, forms and onsite interrogates have been conducted to assess people’s beliefs, understanding, and attitudes on the indigenous knowledge system significance on weather forecasting. Therefore, atmospheric and biological conditions, astronomic, as well as relief characteristics were used to predict the weather over short and long periods. Usually, in assessing weather conditions, the conduct of animals and insects were listed as essential. Obviously, in order to predict weather particularly from rain within about short period of time, astronomical characteristics were used. Commonly, there are few peers who know conventional weather prediction approaches. This lowers the reliability of conventional weather prediction. The findings revealed some variables that impact meteorological inaccuracy by scientific methods and help to recognize and evaluate the gap that current meteorological technologies do not achieve and new particulars anticipated to be filled with conventional methods to attain accurate weather prediction. Additionally, the study indicated that both modern and conventional processes have certain positive and limitations, which means that they can be coupled to generate more accurate weather prediction reports for end users.

Integration between Engineering and Knowledge Systems： Evaluation of Performance of a Wastewater Treatment Plant in a Textile Company

The integration between engineering and knowledge systems （KS） in a manufacturing environment in a network of industrial enterprises was investigated. The drivers for this application of engineering design to infrastructure in an industrial setting where cost and time to market are vital were to spread best practice, and to gain experience in dealing with the regulatory authorities according to ISO 14000. Therefore, the aim of this study was to evaluate the performance of the industrial wastewater treatment plant of the Hilla Textile Factories, to find an appropriate method of treating the industrial wastewater so as to render it fit for reuse or safe to be disposed of as stipulated by the Iraqi laws on effluent disposal. The removal efficiencies of the different parameters used to describe water quality was low. It was found that the removal efficiency of COD （Chemical Oxygen Demand） was 20-21%, that of BOD （Biochemical Oxygen Demand） was 17-30% and that of TSS （Total Suspended Solids） was 27-31%. The quality of the effluent was not in line with those of either the Iraqi or American standards.

Engineering Quality and Knowledge Systems： An Appraisal for Improving the Spinning Stage

The industrial organisations have a vested interest in quality and its practices in making a quantum leap, thereby requiring proper refocusing and rethinking. This is targeted seriously towards firms acquiring Knowledge Systems （KS） in order to nurture the employees＇ capabilities. Therefore, to enhance performances and their highly creative direction takes consideration of QE （quality engineering） and KS and disciplines complementary to each other. Additionally, the flow of operations and activities of the KS through the application of quality engineering （QE） principles is according to the view of Japanese engineer Taguchi. This aims to achieve good quality in the product design and processes, and also to anticipate problems that may occur before the shipping of the products. In this study, the use of quality control engineering and Taguchi＇s function methods in determining these properties and the loss caused by the company will be examined. However, the adopted approach of study scope to the society will aid KS. Also, efforts in this direction motivate the employment of a statistical method by Taguchi which relied on the principle of target-oriented quality, representing the value characterising the product quality.

Conservation of Traditional Agriculture as Living Knowledge Systems,Not Cultural Relics

Agricultural heritage has potential significance far beyond its common representation as the ＂traditional＂ system of ＂traditional peoples＂.The U.N.Food and Agricultural Organization＇s Globally Important Agricultural Heritage Systems（GIAHS） program is an important designation that treats heritage agro-ecosystems as living systems,rather than cultural relics.In order for the GIAHS designation to achieve its full potential,however,the role of human knowledge within the continuous cultural and ecological evolution of GIAHS requires much closer examination and appreciation.This paper explores the limits of contemporary nature and cultural conservation,and draws on a coevolutionary theoretical framework in order to better conceptualize the dynamism of such complex agro-ecological systems.In such a view,GIAHS can be seen as evolving systems of sustainable agriculture of great potentail relevance to contemporary society-environment challenges,rather than as relics of the past.

NATIONAL KNOWLEDGE INNOVATION SYSTEMS: EVOLUTION, DEFINITION AND INDICATORS

The paper examines the three stages of the evolution of national innovation systems: national technology innovation systems, national innovation systems and national knowledge innovation systems. A national knowledge innovation system is a network of institutions and organizations which jointly or individually contributes to the knowledge innovation (including scientific and technical knowledge innovation). The author stresses that knowledge innovation will occur in all processes of the produc-tion, transmission and use of knowledge. There are four subsystems in this system: scientific knowledge innovation, technical knowledge innovation, knowledge trans-mission and knowledge use subsystem. The author also lists some indicators for the System.

Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.

A Confirmatory Factor Analysis on the Views and Constructs for Knowledge Management in India

For a modem organization, KM （Knowledge Management） plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to face competitors. For this reason, sharing and managing knowledge in an organization involves a series of activities that are related to the specific functional aspects of that organisation. In order to foster KM in an organisation, these functional aspects must be understood properly, and within the context of a given organisation, its geographical location and the cultural aspects of the given organisation. This was the premise on which this study was conducted with Indian organisations. A mixed method approach was used to understand the views of Indian region towards KM in this study, be selecting 400 participants in four major each cities. A second order regression model was built using Structural Equation Model to arrive at nine constructs that are relevant to KM in an organisation.

Fusing Systems Thinking with Knowledge Management

This paper introduces the background and purpose of the International Society for Knowledge and Systems Sciences and considers new developments in systems science in the knowledge society.First,in connection with the reason why the name of the society includes knowledge and systems,this paper argues that it is important to support each other for the development of both systems science and knowledge science.Next,this paper introduces three approaches that have tried to combine systems thinking and knowledge management in this academic society.They are Knowledge Systems Engineering,Informed Systems Approach,and Knowledge Construction Systems Methodology.This paper suggests new developments in systems science and engineering that incorporate the concept of knowledge management through explanations of these significances.

African natural medicine:Toward a health preservation theory and systematization model for clinical applicationAfrican natural medicine and health preservation theory

All knowledge fields are founded on universal epistemologies and philosophies.This is evident in ancient Traditional Chinese and Ayurvedic(Siddha)medical systems,which are integrated into national health systems of China and India respectively.African natural medicines(ANMs)are not part of national health systems on the African continent because of a lack of systematization frameworks.This article explores classical medical systems drawn from ancient African and Chinese cosmologies.A qualitative research methodology was used to conduct in-depth interviews with 20 respondents selected using a purposeful sampling technique.The data were summarized into systematization frameworks for disease theories,etiology and pathogenesis,diagnosis and prognosis,and treatment including medicines and disease classification.The study findings revealed that in antiquity,Africa had systematic medical cosmologies,remnants of which are evident in current cultural health practices.Therefore,parallels can be drawn in relation to Chinese Taoist and Indian Tantric healing arts.Ancient Africans recognized Ra or iSithunzi(uMbhilini),which correspond to qi or prana and refer to energetic life force in Asian cultures.Shu and Tefnut(Nkomo weLwandle and Dungha Manzi)correspond to yin and yang or purusha and prakriti,the natural principles of polarised duality.The jing or oojas(physiological essences)and wu xing or pancha tattvas(five ele-ments and modes of nature)and their relationships with the zang and fu(five vital organs and visceral organs,respectively)also found their application in African medical cosmologies.The data revealed that ancient and contemporary ANM systems are based on the concept of con-sciousness(saa or ntu)and life force energy,ra.These cosmological concepts are predicated upon the Paut Neteru or Amathogo(archetypal forces)that prescribe properties to everything.On this basis,an African-Kemetic Health Preservation Theory was developed,which gives rise to African theories for disease etiology,pathogenesis,differential diagnoses,comprehensive prognosis,and holistic treatment regimens.In addition,we developed an uBu-Ntu bio-innovation model for integral research,inclusive innova-tion,local technology transfer,holistic enterprising,and conscious commercialization of African natural medicines.It is the intention of the authors to influence policy in the implementation of these theories,models,and frameworks for clinical application and socio-economic development.

FAIR + FIT: Guiding Principles and Functional Metrics for Linked Open Data(LOD) KOS Products

Purpose:To develop a set of metrics and identify criteria for assessing the functionality of LOD KOS products while providing common guiding principles that can be used by LOD KOS producers and users to maximize the functions and usages of LOD KOS products.Design/methodology/approach:Data collection and analysis were conducted at three time periods in 2015–16,2017 and 2019.The sample data used in the comprehensive data analysis comprises all datasets tagged as types of KOS in the Datahub and extracted through their respective SPARQL endpoints.A comparative study of the LOD KOS collected from terminology services Linked Open Vocabularies(LOV)and BioPortal was also performed.Findings:The study proposes a set of Functional,Impactful and Transformable(FIT)metrics for LOD KOS as value vocabularies.The FAIR principles,with additional recommendations,are presented for LOD KOS as open data.Research limitations:The metrics need to be further tested and aligned with the best practices and international standards of both open data and various types of KOS.Practical implications:Assessment performed with FAIR and FIT metrics support the creation and delivery of user-friendly,discoverable and interoperable LOD KOS datasets which can be used for innovative applications,act as a knowledge base,become a foundation of semantic analysis and entity extractions and enhance research in science and the humanities.Originality/value:Our research provides best practice guidelines for LOD KOS as value vocabularies.

IDSS: Designing to Extend the Cognitive Limits

The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.

INTELLIGENT RESOLUTION OF COOPERATIVE CONFLICT

First, the concept of cooperative conflict is presented, and the characteristic of cooperative air combat is researched. Then, four methods of conflict resolution are designed by way of the first order predicate logic, i.e., link-up, coordination, accommodation and integration, and corresponding examples are given. A 2 vs 2 air combat simulation was carried out; after conflict resolution, the loss ratio is dropped to 0.54 from the original 1.32, so the enhancement of effectiveness is notable. The present research findings are that the wide conflicts discover the essence of multi-fighter cooperation, i.e., to as fully as possible enhance the effectiveness of each fighter to attain global optimization, and that the possibility of conflict resolution shows the application prospect. The proposed method in this paper is a helpful try to the application of the Fifth Generation Computer in the new generation of C3I system.

Methodological Approaches to Development and Implementation of Multi-agents Investment DSS Using JADE Platform

In these latter days software agents are used for the development and implementation of intellectual decision support systems. In order to implement intelligence in a system some or several dozen of software agents are used and the made system becomes multi-agent. For the development of these systems a set of methodologies, i.e., the sequence of consequent steps of analysis, designing and implementation, is offered. The carried out analysis of the methodologies showed that as a rule they are limited by the spectrum of their pending problem （within the pales of the requirements of specific applied task, within the pales of the possibilities of technical implementation） or within the pales of amount of detail. The variety of methodologies is influenced by the fact that for the development of these systems the requirements and attitudes are offered by the specialists of related spheres such as software, numeral intellect engineers. In the course of the development of hardware and software appeared possibilities to implement mobile multi-agents systems, however, there is no one united mobile multi-agent systems design methodology, whereas existing systems are underdeveloped and their number is small. In this article we introduce the course of the designing of an intellectual real time multi-agent investment management decision support information system adapting and combining some methodologies where the choice to use either communicating or mobile agents is the question of rather technical implementation than methodological. In the article we introduce two ways of system implementation by JADE platform： the first one-using communicating agents, and the second one-using mobile agents.

An Intelligent System for a Resource Allocation Problem Based on Fuzzy Reasoning

The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.

The Role of Knowledge in Disaster Risk Reduction

Disaster risk reduction policy and practice require knowledge for informed decision making and coordinated action. Although the knowledge production and implementation processes are critical for disaster risk reduction, these issues are seldom systematically addressed in-depth in disaster studies and policy programs. While efforts and improvements have been made with regard to data and information, only limited resources are committed to improving knowledge management structures and integrating knowledge systems at different spatial levels. The recently adopted Sendai Framework for Disaster Risk Reduction 2015–2030 addresses knowledge-related issues and provides the opportunity to highlight the critical role of knowledge in disaster risk reduction. This article presents insights into potential conceptualizations of knowledge that would advance disaster research and policy. We use cases from France to illustrate challenges of and pathways to disaster risk reduction. We suggest to further strengthen efforts that improve our understanding of the connections between disaster risk, knowledge, and learning. A better integration of multiple scales, different societal actors,various knowledge sources, and diverse disciplines into disaster risk research will increase its relevance for decision-makers in policy and practice. Well-targeted incentives and political backing will improve the coherence,coordination, and sharing of knowledge among various actors and arenas.

Variability and change of climate extremes from indigenous herder knowledge and at meteorological stations across central Mongolia

In semi-arid regions,air temperatures have increased in the last decades more than in many other parts of the world.Mongolia has an arid/semi-arid climate and much of the population are herders whose livelihoods depend upon limited water resources that fluctuate with a variable climate.Herders were surveyed to identify their observations of changes in climate extremes for two soums of central Mongolia,Ikh-Tamir in the forest steppe north of the Khangai Mountains and Jinst in the desert steppe south of the mountains.The herders’indigenous knowledge of changes in climate extremes mostly aligned with the station-based analyses of change.Temperatures were warming with more warm days and nights at all stations.There were fewer cool days and nights observed at the mountain stations both in the summer and winter,yet more cool days and nights were observed in the winter at the desert steppe station.The number of summer days is increasing while the number of frost days is decreasing at all stations.The results of this study support further use of local knowledge and meteorological observations to provide more holistic analysis of climate change in different regions of the world.

Exposing vocabularies for soil as Linked Open Data

Standards to describe soil properties are well established,with many ISO specifications and a few international thesauri available for specific applications.Besides,in recent years,the European directive on "Infrastructure for Spatial Information in the European Community(INSPIRE)"has brought together most of the existing standards into a well defined model.However,the adoption of these standards so far has not reached the level of semantic interoperability,defined in the paper,which would facilitate the building of data services that reuse and combine data from different sources.This paper reviews standards for describing soil data and reports on the work done within the EC funded agINFRA project to apply Linked Data technologies to existing standards and data in order to improve the interoperability of soil datasets.The main result of this work is twofold.First,an RDF vocabulary for soil concepts based on the UML INSPIRE model was published.Second,a KOS(Knowledge Organization System)for soil data was published and mapped to existing relevant KOS,based on the analysis of the SISI database of the CREA of Italy.This work also has a methodological value,in that it proposes and applies a methodology to standardize metadata used in local scientific databases,a very common situation in the scientific domain.Finally,this work aims at contributing towards a wider adoption of the INSPIRE directive,by providing an RDF version of it.

Modeling and Solving Material Resources Allocation and Distribution with OR-Based and AI-Guided Method

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