Comprehensive Survey on the Techniques used in Weighing and Recording Systems

Today farmers are facing more problems about fruit’s weight measuring and recording at the time of their final cost calculation while selling to the agents. Now a day, weighing issues are the most important in concern with the issues of farmers everywhere in the agriculture field, so weighing of everything from farm gains higher and higher importance in recent years. Here in this paper, trying to introduce the comprehensive literature study related to the various measuring systems that are necessary in the fields such as agriculture, industries and market. Weighing and measuring where possibilities of incursion are increasing day by day. In past days, the research is gone on various weighing and measuring systems, which provided the solution to manual methods. Due to the advancement in recent techniques, some weighing systems are based on microcontroller, ARM11, dynamic, fuzzy-logic, force-sensing, image-processing, filter, online, sensor network, and LVDT based etc. Every system has its own advantages and disadvantages. In most of systems, strain gauge technique is used for weighing so the system will become cost effective, more reliable and it will take less time to stores the many reading for continuous measuring process. The weight measuring systems today needs to make use of the latest technology. In some papers, the authors have presented weighing systems based on embedded and PLC and sometimes the load sensors is connected by online and sensor network. Hence, it could not easily hack the data of weighing records by hackers. A lot of modification takes places in various weighing and recording systems from the last few years, in next coming years many changes will takes place

Reduction of the envelope fluctuations of multi-carrier modulations using adaptive neural fuzzy inference systems

In this paper, a novel scheme for reducing the envelope fluctuations in multi-carrier signals applying Adaptive Neural Fuzzy Inference Systems (ANFIS) is proposed and analyzed. Once trained with signals with very low envelope fluctuations, such as those obtained by the Active Constellation Expansion - Approximate Gradient Project (ACE-AGP) algorithm, ANFIS approximately reaches a similar reduction as with ACE-AGP for multi-carrier signals without the complexity and the large convergence time of conventional ACE-AGP. We show that our approach is less complex than other previous schemes and with better performanceThis work has been partly funded by projects MULTI-ADAPTIVE (TEC2008-06327-C03-02), COMONSENS (CSD2008-00010) and AECI Program of Research Cooperation with Morocco (A/027714/09)Publicad

Usage-based recycling or creative exploitation of the shared code? : The case of phraseological patterning

Peer reviewe

Assembly Line

An assembly line is a manufacturing process in which parts are added to a product in a sequential manner using optimally planned logistics to create a finished product in the fastest possible way. It is a flow-oriented production system where the productive units performing the operations, referred to as stations, are aligned in a serial manner. The present edited book is a collection of 12 chapters written by experts and well-known professionals of the field. The volume is organized in three parts according to the last research works in assembly line subject. The first part of the book is devoted to the assembly line balancing problem. It includes chapters dealing with different problems of ALBP. In the second part of the book some optimization problems in assembly line structure are considered. In many situations there are several contradictory goals that have to be satisfied simultaneously. The third part of the book deals with testing problems in assembly line. This section gives an overview on new trends, techniques and methodologies for testing the quality of a product at the end of the assembling line

Intelligent laser cladding control system design and construction.

Imperial Users onl

Complexity, leadership, and megaproject performance: a configuration analysis

Purpose: Rapid worldwide growth in megaprojects has attracted academic interest. In practice, complexity is one of the main causes for the failure of megaprojects. This study proposes a system of project manager leadership to overcome problems of complexity in achieving success with a megaproject. Design/methodology/approach: This study uses configuration analysis, fuzzy-set qualitative comparative analysis (fsQCA), to investigate the combination of complexity and leadership competencies that promote megaproject success. This study analyzes three megaproject manager leadership competencies–technical, emotional–social, and adaptive–with three megaproject complexities–structural, social, and emergent–to determine the combinations and levels required to ensure a megaproject’s short- and long-term success. Seven Indonesian infrastructure megaprojects were involved in this explorative study. Findings: This study has identified four combinations between complexity and leadership competencies and three necessary conditions that can lead to a successful megaproject. This study also reports that insufficient project manager leadership competence in the technical, emotional-social, and adaptive aspects can lead to lower megaproject performance. Research limitations/implications: By using fsQCA, this study is sufficient to understand the combination of complexity and leadership competencies in the megaproject performance. However, configuration comparative analysis using small samples is unable to explain the results that are more rigorous compared with the statistical approach. Having higher cases and additional analytical approaches leading to a more robust quantitative analysis method is needed to address these limitations. Practical implications: For practitioners, this study proposes effective leadership competency combinations for managing various complexities of the megaproject. Originality/value: This study provides an insight into the competencies of megaproject management leadership. It contributes to the literature by providing fresh perspectives on megaproject management, especially in terms of complexity and leadership. This is an important research area for the development of megaproject management theory filling theoretical gaps in megaproject management in terms of the leadership aspectPeer Reviewe

RFID Localisation For Internet Of Things Smart Homes: A Survey

The Internet of Things (IoT) enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. The IoT incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. Localisation in indoor positioning systems plays an important role in the IoT. Location Based IoT applications range from tracking objects and people in real-time, assets management, agriculture, assisted monitoring technologies for healthcare, and smart homes, to name a few. Radio Frequency based systems for indoor positioning such as Radio Frequency Identification (RFID) is a key enabler technology for the IoT due to its costeffective, high readability rates, automatic identification and, importantly, its energy efficiency characteristic. This paper reviews the state-of-the-art RFID technologies in IoT Smart Homes applications. It presents several comparable studies of RFID based projects in smart homes and discusses the applications, techniques, algorithms, and challenges of adopting RFID technologies in IoT smart home systems.Comment: 18 pages, 2 figures, 3 table