Changing Holocene Environments at the Koster Site: A Geo-Archaeological Perspective

1978 ◽  
Vol 43 (3) ◽  
pp. 408-413 ◽  
Author(s):  
Karl W. Butzer
Keyword(s):  
Environmental Changes ◽  
Dynamic Environment ◽  
Cultural Adaptations ◽  
Critical Variable ◽  
Illinois Valley ◽  
Archaeological Models ◽  
Hill Prairie ◽  
Archaeological Perspective

Geomorphologic and sediment-stratigraphic study of the Koster site has been carried out in the broader context of the lower Illinois Valley. Accumulation of reworked loess in an overdeepened tributary valley began at Koster shortly after 10,000 B.P., and continued through Holocene times with major sedimentary breaks. The Illinois floodplain began to stabilize ca. 5000 B.P. after rapid aggradation, but remained a dynamic environment that developed its present patterns after 2500 B.P. Valley-margin hillside vegetation was considerably more xeric during the periods 1200-950 B.P., 2100–1900 B.P., and ca. 9700–5000 B.P., with hillside woodland reduced to hill prairie or parkland ca. 8500–7700 B.P. These dramatic Holocene environmental changes suggest that interpretative archaeological models for cultural adaptations through time must consider the environment as a critical variable, rather than as a constant.

A Multi-Agent System for Optimal Supply Chain Management

2011 ◽  
pp. 281-304
Author(s):  
Hyung Rim Choi ◽  
Hyun Soo Kim
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Changes ◽  
Scheduling Algorithm ◽  
Dynamic Environment ◽  
Multi Agent System ◽  
Production Environment ◽  
Agent System ◽  
Chain Management ◽  
Multi Agent

Supply chain management recently has been developing into a dynamic environment that has to accept the changes in the formation of the supply chain. In other words, the supply chain is not static but varies dynamically according to the environmental changes. Therefore, under this dynamic supply chain environment, the priority is given not to the management of the existing supply chain but to the selection of new suppliers and outsourcing companies in order to organize an optimal supply chain. The objective of this research is to develop a multi-agent system that enables the effective formation and management of an optimal supply chain. The multi agent system for optimal supply chain management developed in this research is a multi agent system based on the scheduling algorithm, a cooperative scheduling methodology, which enables the formation of an optimal supply chain and its management. By means of active communications among internal agents, a multi-agent system for optimal supply chain management makes it possible to quickly respond to the production environment changes such as the machine failure or outage of outsourcing companies and the delivery delay of suppliers. This research has tried to suggest a new direction and new approach to the optimal supply chain management by means of a multi-agent system in dynamic supply chain environment

scholarly journals Indoor Positioning System Based on Standardizing Waveform Tendency

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaohua Li ◽  
Ge Yu
Keyword(s):  
Environmental Changes ◽  
Indoor Localization ◽  
Real Life ◽  
Dynamic Environment ◽  
Indoor Positioning ◽  
Positioning System ◽  
Kernel Extreme Learning Machine ◽  
Computationally Intensive ◽  
Learning Machine ◽  
Indoor Positioning System

Estimating the indoor position of users in commercial buildings remains a significant challenge to date. Although the WiFi-based indoor localization has been widely explored in many works by employing received signal strength (RSS) patterns as the features, they usually lead to inaccurate results as the RSS could be easily affected by the indoor environmental dynamics. Besides, existing methods are computationally intensive, which have a high time consumption that makes them unsuitable for real-life applications. In order to deal with those issues, we propose to use standardizing waveform tendency (SWT) of RSS for indoor positioning. We show that the proposed SWT is robust to the noise generated by the dynamic environment. We further develop a novel smartphone indoor positioning system by integrating SWT and kernel extreme learning machine (KELM) algorithm. Extensive real-world positioning experiments are conducted to demonstrate the superiority of our proposed model in terms of both positioning accuracy and robustness to environmental changes when comparing with state-of-the-art baselines.

VNFPP Ltd: using holistic marketing in a small enterprise context

2012 ◽  
Vol 2 (8) ◽  
pp. 1-9
Author(s):  
S. Ramesh Kumar ◽  
Arun Bhattacharyya
Keyword(s):  
Emerging Markets ◽  
Small Businesses ◽  
Environmental Changes ◽  
Dynamic Environment ◽  
Subject Area ◽  
Small Enterprise ◽  
Small Scale ◽  
Natural Food ◽  
Content Type ◽  
Marketing Orientation

Subject area Entrepreneurship in emerging markets; the planning of survival and competition strategies of small businesses run by entrepreneurs against well established larger brands. Study level/applicability The case can be used at the post graduate level in principles of marketing, entrepreneurship or emerging markets courses. Case overview The case looks at the antecedents and process of transformation of a small-scale firm into a marketing-oriented organization, through the lens of holistic marketing. The case focuses on a small-scale Bangalore based Indian company, Vishaal Natural Food Products (I) Pvt. Ltd that had used the concept of marketing orientation and holistic marketing to effectively make use of the advantages of its “smallness” and the characteristics of its entrepreneurial setup. Expected learning outcomes How can an entrepreneur survive in a dynamic environment? How should the company conceptually finalize its growth avenues? How can holistic marketing have an impact on the entire functioning of the organization when radical changes to handle the environmental changes, are made? How does the concept of holistic marketing which in textbooks fits in with the complexities of large corporations when they plan their strategies, have an impact on the functioning of these small businesses. The case delves into the conceptual linkages posed by these questions. Supplementary materials Teaching notes are available, please consult your librarian for access.

scholarly journals A DEEP LEARNING MODEL IMPLEMENTATION BASED ON RSSI FINGERPRINTING FOR LORA-BASED INDOOR LOCALIZATION

2021 ◽  
pp. 40-59
Author(s):  
Irsan Taufik Ali ◽  
Abdul Muis ◽  
Riri Fitri Sari
Keyword(s):  
Deep Learning ◽  
Environmental Changes ◽  
Indoor Localization ◽  
Dynamic Environment ◽  
Reference Database ◽  
Learning Approaches ◽  
Learning Methods ◽  
Success Stories ◽  
Natural Feature ◽  
A New Technique

LoRa technology has received a lot of attention in the last few years. Numerous success stories about using LoRa technology for the Internet of Things in various implementations. Several studies have found that the use of LoRa technology has the opportunity to be implemented in indoor-based applications. LoRa technology is found more stable and is more resilient to environmental changes. Environmental change of the indoor is a major problem to maintain accuracy in position prediction, especially in the use of Received Signal Strength (RSS) fingerprints as a reference database. The variety of approaches to solving accuracy problems continues to improve as the need for indoor localization applications increases. Deep learning approaches as a solution for the use of fingerprints in indoor localization have been carried out in several studies with various novelties offered. Let’s introduce a combination of the use of LoRa technology's excellence with a deep learning method that uses all variations of measurement results of RSS values at each position as a natural feature of the indoor condition as a fingerprint. All of these features are used for training in-deep learning methods. It is DeepFi-LoRaIn which illustrates a new technique for using the fingerprint data of the LoRa device's RSS device on indoor localization using deep learning methods. This method is used to find out how accurate the model produced by the training process is to predict the position in a dynamic environment. The scenario used to evaluate the model is by giving interference to the RSS value received at each anchor node. The model produced through training was found to have good accuracy in predicting the position even in conditions of interference with several anchor nodes. Based on the test results, DeepFi-LoRaIn Technique can be a solution to cope with changing environmental conditions in indoor localization

scholarly journals Comprehensive Longitudinal Analysis of the Five Sisters Hot Springs in Yellowstone National Park Reveals a Dynamic Thermoalkaline Environment

2021 ◽  
Author(s):  
Jesse T Peach ◽  
Rebecca C Mueller ◽  
Dana J Skorupa ◽  
Margaux M Mesle ◽  
Sutton Kanta ◽  
...  
Keyword(s):  
Microbial Community ◽  
Small Molecule ◽  
Relative Abundance ◽  
Hot Springs ◽  
Environmental Changes ◽  
Dynamic Environment ◽  
Archaeal Community ◽  
Industrial Applications ◽  
Bacterial Populations ◽  
Abundance And Diversity

Abstract Research focused on microbial populations of thermoalkaline springs has been driven in a large part by the lure of discovering functional enzymes with industrial applications in high-pH and high temperature environments. However, the fundamental ecology of these springs has largely been overlooked. To better understand the functional outcomes of interactions between the geochemistry and the microbial community of thermoalkaline springs, we conducted a three-year study of the Five Sisters (FS) springs that included high-resolution geochemical measurements, 16S rRNA sequencing of the bacterial and archaeal community, and mass spectrometry based extracellular and intracellular small molecule characterization. By combining all four datasets, we completed a comprehensive analysis of the intricate thermoalkaline spring system. Over the course of the study, the microbial population responded to changing environmental conditions, with archaeal populations decreasing in both relative abundance and diversity when compared to bacterial populations. Decreases in the relative abundance of Archaea were associated with environmental changes that included decreased availability of specific nitrogen and sulfur containing extracellular small molecules. The multi-factorial analysis suggests a complex and dynamic environment with an elastic microbial community that responded to geochemical and extracellular small molecule transitions.

A Multi-Agent System for Optimal Supply Chain Management

2011 ◽  
pp. 794-817
Author(s):  
Hyung Rim Choi ◽  
Hyun Soo Kim ◽  
Yong Sung Park ◽  
Byung Joo Park
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Changes ◽  
Scheduling Algorithm ◽  
Dynamic Environment ◽  
Multi Agent System ◽  
Production Environment ◽  
Agent System ◽  
Chain Management ◽  
Multi Agent

Supply chain management recently has been developing into a dynamic environment that has to accept the changes in the formation of the supply chain. In other words, the supply chain is not static but varies dynamically according to the environmental changes. Therefore, under this dynamic supply chain environment, the priority is given not to the management of the existing supply chain but to the selection of new suppliers and outsourcing companies in order to organize an optimal supply chain. The objective of this research is to develop a multi-agent system that enables the effective formation and management of an optimal supply chain. The multi agent system for optimal supply chain management developed in this research is a multi agent system based on the scheduling algorithm, a cooperative scheduling methodology, which enables the formation of an optimal supply chain and its management. By means of active communications among internal agents, a multi-agent system for optimal supply chain management makes it possible to quickly respond to the production environment changes such as the machine failure or outage of outsourcing companies and the delivery delay of suppliers. This research has tried to suggest a new direction and new approach to the optimal supply chain management by means of a multi-agent system in dynamic supply chain environment.

scholarly journals Nitrogen turnover in a tidal flat sediment: assimilation and dissimilation by bacteria and benthic microalgae

2012 ◽  
Vol 9 (6) ◽  
pp. 6987-7019 ◽  
Author(s):  
K. Dähnke ◽  
A. Moneta ◽  
B. Veuger ◽  
K. Soetaert ◽  
J. J. Middelburg
Keyword(s):  
Tidal Flat ◽  
Environmental Changes ◽  
Inorganic Nitrogen ◽  
Dynamic Environment ◽  
Benthic Microalgae ◽  
Physical Forcing ◽  
Tidal Flat Sediment ◽  
Driving Mechanisms ◽  
15N Labeling

Abstract. In a short-term (24 h) 15N-labeling experiment, we investigated reactive nitrogen cycling in a tidal flat sediment, focusing on the relative importance of assimilatory versus dissimilatory processes and the role of benthic microalgae therein. 15N-labeled ammonium and nitrate were added separately to homogenized sediment, and 15N was subsequently traced into sediment and dissolved inorganic nitrogen (DIN) pools. Integration of results in a N-cycle model allowed us to quantify rates for the major assimilatory and dissimilatory processes in the sediment. Overall, results indicate that the balance between assimilation and dissimilation in this tidal mudflat was mainly dependent on the nitrogen source. Nitrate was utilized almost exclusively dissimilatory via denitrification, whereas ammonium was rapidly assimilated, with about a quarter of this assimilation due to benthic microalgae (BMA). Benthic microalgae significantly affect assimilation of ammonium, because in the absence of BMA activity the sediments turns from a net ammonium sink to a net source. Nitrification rates were initially very high, but declined rapidly suggesting that nitrification rates are low in undisturbed sediments, and that in a dynamic environment like tidal flats, intense and fast nitrification/denitrification of ammonium is common. The driving mechanisms for assimilation or dissimilation accordingly appear to be ruled to a large extent by external physical forcing, with the entire system being capable of rapid shifts following environmental changes.

scholarly journals A Colored Traveling Salesman Problem with Varying City Colors

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xianghu Meng ◽  
Jun Li ◽  
MengChu Zhou
Keyword(s):  
Traveling Salesman Problem ◽  
Variable Neighborhood Search ◽  
Environmental Changes ◽  
Dynamic Environment ◽  
Traveling Salesman ◽  
Neighborhood Search ◽  
Scheduling Problems ◽  
Original Solution ◽  
Color Changes ◽  
Online Retailers

A colored traveling salesman problem (CTSP) is a path optimization problem in which colors are used to characterize diverse matching relationship between cities and salesmen. Namely, each salesman has a single color while every city has one to multiple salesmen’s colors, thus allowing salesmen to visit exactly once the cities of their colors. It is noteworthy that cities’ accessibilities to salesmen may change over time, which usually takes place in the multiwarehouse distribution of online retailers. This work presents a new CTSP with dynamically varying city colors for describing and modeling some scheduling problems with variable city accessibilities. The problem is more complicated than the previously proposed CTSP with varying edge weights. In particular, the solution feasibility changes as the cities change their colors, that is, a feasible original solution path may become no longer feasible after city colors change. A variable neighborhood search (VNS) algorithm is presented to solve the new problem. Specifically, a dynamic environment simulator with an adjustable frequency and amplitude is designed to mimic such color changes. Then, direct-route encoding, greedy initialization, and appropriate population immigrant are proposed to form an enhanced VNS, and then its performance is evaluated. The results of extensive experiments show that the proposed VNS can quickly track the environmental changes and effectively resolve the problem.

scholarly journals Implementation of Knowledge Management in Building the Organization Dealing Effectiveness of Dynamic Environment in the Disruptive Era

2021 ◽  
Vol 04 (07) ◽  
Author(s):  
Muhammad Harri ◽  
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Organizational Effectiveness ◽  
Environmental Changes ◽  
External Environment ◽  
Dynamic Environment ◽  
Narrative Approach ◽  
Daily Work ◽  
The Right ◽  
Very High

The focus of this study is the implementation of knowledge management, organizational effectiveness, and disruptive which uses a descriptive narrative approach to describe knowledge management as a multi-disciplinary approach. The method used is the descriptive qualitative analytic approach. Data collected through literature studies and fieldwork using interviews, observation and documentation study. The results showed that knowledge management is the organization's activities in managing knowledge as assets in which the various strategies are the proper distribution of knowledge to the right people and in the period of rapid so that they are can be interacting, share knowledge and apply it in their daily work to improve organizational performance. The results of this study are expected in the era of globalization where changes in environmental changes occur very rapidly, the uncertainty of the environment and the level of competition is very high often cause a leader should be able to have a strategy in making organizational decisions, errors in reading the situation and overreact to changes in the dynamically changing environment will fail. The organization will survive forward if managers can make the right decisions and quickly following the development of the internal and external environment.

Sign in / Sign up

Export Citation Format

Share Document