SciTech News Volume 70, No. 1 (2016)

Columns and Reports From the Editor 3 SciTech News Call for Articles 3 Assistant Editor wanted 4 Division News Science-Technology Division 5 Chemistry Division 7 Engineering Division 12 Aerospace Section of the Engineering Division 13 Call for Nominations & Applications Sparks Award for Professional Development11 Reviews Sci-Tech Book News Reviews 1

RFID Technology in Intelligent Tracking Systems in Construction Waste Logistics Using Optimisation Techniques

Construction waste disposal is an urgent issue for protecting our environment. This paper proposes a waste management system and illustrates the work process using plasterboard waste as an example, which creates a hazardous gas when land filled with household waste, and for which the recycling rate is less than 10% in the UK. The proposed system integrates RFID technology, Rule-Based Reasoning, Ant Colony optimization and knowledge technology for auditing and tracking plasterboard waste, guiding the operation staff, arranging vehicles, schedule planning, and also provides evidence to verify its disposal. It h relies on RFID equipment for collecting logistical data and uses digital imaging equipment to give further evidence; the reasoning core in the third layer is responsible for generating schedules and route plans and guidance, and the last layer delivers the result to inform users. The paper firstly introduces the current plasterboard disposal situation and addresses the logistical problem that is now the main barrier to a higher recycling rate, followed by discussion of the proposed system in terms of both system level structure and process structure. And finally, an example scenario will be given to illustrate the system’s utilization

Identification of Genes Expressed in the Anterior Pituitary Associated With Water Restriction in Beef Cattle

Water is an essential nutrient and is required for growth, metabolism, lactation, and reproduction. Without water, livestock production would not be possible. Despite its importance, water requirements in livestock have not received much attention from the research community since the 1950s. The most recent edition of the Nutrient Requirements of Beef Cattle (8th edition) relies on literature from the 1950s or earlier for defining water requirements in beef cattle. Since the time these requirements were estimated, much has changed with regards to body size, genetics, and productivity of our livestock herds, including beef cattle. Global surface temperatures have increased in the last 20 years leading to climate variability, drought conditions, and desertification. Range animals may be exposed to more variable water supplies. Nutrigenomics research in livestock has largely focused on interactions between dry matter components of the diet and genomics. Transcriptome and genomic variation in response to changes in water intake have not been studied to our knowledge. Given the importance of water in livestock diets, this gap in our understanding of livestock nutrigenomics is significant. RNA-seq analysis was carried out on total RNA from anterior pituitary of beef cattle followed by water restriction (control, n = 3 and water restriction, n = 3). 14,280 genes were deemed to be expressed (\u3e4 reads per gene per animal), 40 of which were shown to be statistically significantly differentially expressed (SDE) at a false discovery rate (FDR) of 0.1% with a ≥2-fold change between control and water restricted animals. GOseq/ KEGG pathway analysis showed that SDE genes with ≥2- fold change was associated (P \u3c0.05) with one KEGG pathway and six Curated Reactomes pathways associated with G protein-coupled receptor incorporated hormone secretion and transport. Most interestingly, all these pathways were related to Arginine Vasopressin (AVP) which is one of the major regulators of water balance. RNA-seq analysis suggested that, to regulate plasma osmolarity from water restriction, the major changes in anterior pituitary gene expression in water deprivation cattle were related to release of AVP into the circulation and transportation to the kidney where AVP binds to the vasopressin type 2 receptor. This indicates the crucial role of AVP in regulating plasma osmolarity in response to water restriction. This study provides valuable insights into the genomic response of beef cattle to water restriction, highlighting the significance of AVPrelated pathways in maintaining water balance. The findings contribute to advancing our understanding of water requirements in modern livestock and emphasize the need for updated guidelines in the Nutrient Requirements of Beef Cattle. Ultimately, this research can aid in the development of more efficient management strategies to ensure optimal livestock health and productivity in the face of climate variability and limited water availability

Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools

This research topic aims at enterprise-wide modeling and optimization (EWMO) through the development and application of integrated modeling, simulation and optimization methodologies, and computer-aided tools for reliable and sustainable improvement opportunities within the entire manufacturing network (raw materials, production plants, distribution, retailers, and customers) and its components. This integrated approach incorporates information from the local primary control and supervisory modules into the scheduling/planning formulation. That makes it possible to dynamically react to incidents that occur in the network components at the appropriate decision-making level, requiring fewer resources, emitting less waste, and allowing for better responsiveness in changing market requirements and operational variations, reducing cost, waste, energy consumption and environmental impact, and increasing the benefits. More recently, the exploitation of new technology integration, such as through semantic models in formal knowledge models, allows for the capture and utilization of domain knowledge, human knowledge, and expert knowledge toward comprehensive intelligent management. Otherwise, the development of advanced technologies and tools, such as cyber-physical systems, the Internet of Things, the Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., have captured the attention of manufacturing enterprises toward intelligent manufacturing systems

Final Report of the ModSysC2020 Working Group - Data, Models and Theories for Complex Systems: new challenges and opportunities

Final Report of the ModSysC2020 Working Group at University Montpellier 2At University Montpellier 2, the modeling and simulation of complex systems has been identified as a major scientific challenge and one of the priority axes in interdisciplinary research, with major potential impact on training, economy and society. Many research groups and laboratories in Montpellier are already working in that direction, but typically in isolation within their own scientific discipline. Several local actions have been initiated in order to structure the scientific community with interdisciplinary projects, but with little coordination among the actions. The goal of the ModSysC2020 (modeling and simulation of complex systems in 2020) working group was to analyze the local situation (forces and weaknesses, current projects), identify the critical research directions and propose concrete actions in terms of research projects, equipment facilities, human resources and training to be encouraged. To guide this perspective, we decomposed the scientific challenge into four main themes, for which there is strong background in Montpellier: (1) modeling and simulation of complex systems; (2) algorithms and computing; (3) scientific data management; (4) production, storage and archiving of data from the observation of the natural and biological media. In this report, for each theme, we introduce the context and motivations, analyze the situation in Montpellier, identify research directions and propose specific actions in terms of interdisciplinary research projects and training. We also provide an analysis of the socio-economical aspects of modeling and simulation through use cases in various domains such as life science and healthcare, environmental science and energy. Finally, we discuss the importance of revisiting students training in fundamental domains such as modeling, computer programming and database which are typically taught too late, in specialized masters

A Knowledge Graph Based Integration Approach for Industry 4.0

The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial Intelligence (AI). Realizing smart factories according to the I40 vision requires intelligent human-to-machine and machine-to-machine communication. To achieve this communication, CPS along with their data need to be described and interoperability conflicts arising from various representations need to be resolved. For establishing interoperability, industry communities have created standards and standardization frameworks. Standards describe main properties of entities, systems, and processes, as well as interactions among them. Standardization frameworks classify, align, and integrate industrial standards according to their purposes and features. Despite being published by official international organizations, different standards may contain divergent definitions for similar entities. Further, when utilizing the same standard for the design of a CPS, different views can generate interoperability conflicts. Albeit expressive, standardization frameworks may represent divergent categorizations of the same standard to some extent, interoperability conflicts need to be resolved to support effective and efficient communication in smart factories. To achieve interoperability, data need to be semantically integrated and existing conflicts conciliated. This problem has been extensively studied in the literature. Obtained results can be applied to general integration problems. However, current approaches fail to consider specific interoperability conflicts that occur between entities in I40 scenarios. In this thesis, we tackle the problem of semantic data integration in I40 scenarios. A knowledge graphbased approach allowing for the integration of entities in I40 while considering their semantics is presented. To achieve this integration, there are challenges to be addressed on different conceptual levels. Firstly, defining mappings between standards and standardization frameworks; secondly, representing knowledge of entities in I40 scenarios described by standards; thirdly, integrating perspectives of CPS design while solving semantic heterogeneity issues; and finally, determining real industry applications for the presented approach. We first devise a knowledge-driven approach allowing for the integration of standards and standardization frameworks into an Industry 4.0 knowledge graph (I40KG). The standards ontology is used for representing the main properties of standards and standardization frameworks, as well as relationships among them. The I40KG permits to integrate standards and standardization frameworks while solving specific semantic heterogeneity conflicts in the domain. Further, we semantically describe standards in knowledge graphs. To this end, standards of core importance for I40 scenarios are considered, i.e., the Reference Architectural Model for I40 (RAMI4.0), AutomationML, and the Supply Chain Operation Reference Model (SCOR). In addition, different perspectives of entities describing CPS are integrated into the knowledge graphs. To evaluate the proposed methods, we rely on empirical evaluations as well as on the development of concrete use cases. The attained results provide evidence that a knowledge graph approach enables the effective data integration of entities in I40 scenarios while solving semantic interoperability conflicts, thus empowering the communication in smart factories