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The industry of disposables has undergone a huge revolution in this century owing to the busy lifestyles and technological advancements in its production and manufacturing process. Paper cups are one of the widely used products in disposable industry. It has multi utility options that is it can be used to drink water as well as beverages, soups, liquids etc. This paper entirely focuses on increasing the quality factor of production and manufacturing process of these paper cups by adding additional circuitry to the existing machinery to reduce waste of raw materials as well as the per unit cost involved in wastage of electricity. This research work is based on using proximity sensors to sense the materials and molded paper cups infront of machinery and reduce the electric wastage through a relay Mechanism assembly. This is a PLC based live project example of effectively increasing the overall efficiency of the manufacturing plant

In the screening area of the paper mill has the high density impurities which are removed from the pulp and it is stored in the machine chest. The pulp in the machine chest is directly transferred to the head box without removing any medium density sand particles which affects the quality of the pulp. Only if the pulp entering the paper machine is clean and well-mixed with additives a good quality of paper will be produced. So in between the pulp tank and the pulp receiver a medium density cleaner is installed. The pulp in the machine chest is allowed to flow through the round hopper. Due to the circulatory motion and by centrifugal force the high density sand particles will settle in the bottom of the hopper. Due to the centripetal force the pulp is recovered from the hopper. The sand particles that settled in the bottom of the hopper are removed by the periodic opening and closing of the solenoid valves at regular interval of time. The medium density impurities are removed by creating hydro cyclone. These sequential operations are automated and controlled through PLC. So the overall plant efficiency is increased. Since the medium density impurities are removed this ensures the good quality paper production.

The industry of disposables has undergone an astronomically immense revolution in this century owing to the diligent lifestyles and technological advancements in its engenderment and manufacturing process. Paper cups are one of the widely used products in disposable industry. It has multi utility options that is it can be acclimated to imbibe water as well as beverages, soups, liquids etc. This paper entirely fixates on incrementing the quality factor of engenderment and manufacturing process of these paper cups by integrating adscititious circuitry to the subsisting machinery to truncate waste of raw materials as well as the per unit cost involved in wastage of electricity. There is a necessity to improvise the quality of overall production parameters using automation techniques. Replacing the whole machinery is a very high costing implementation hence economic feasibility of automation can be achieved by adding an additional circuitry and improving the overall perfoemance. This research work is predicated on utilizing proximity sensors to sense the materials and molded paper cups in front of machinery and minimize the electric wastage through a relay Mechanism assembly. This is a PLC predicated live project example of efficaciously incrementing the overall efficiency of the manufacturing plant

China’s packaging industry has formed a packaging big data system from three aspects: implementing information engineering, building a collaborative symbiosis network platform of packaging information resources, and building an industrial chain knowledge map centered on product chain. Packaging big data visualization design uses big data information acquisition, hierarchical division and management, problem and audience, visual transformation and other thinking modes, and adopts text information visualization, multi-dimensional information visualization, hierarchical relationship visualization and other technologies to realize the visual presentation of packaging industry data information. This paper analyzes the network data, extracts the keywords related to the key elements, and then analyzes the construction method of product paper packaging container automation system based on the keywords extraction algorithm. On the one hand, it emphasizes the importance of big data in online shopping commodity packaging design; on the other hand, it explores new ideas and methods of online shopping commodity packaging design through the application of big data in online shopping commodity packaging design.

Industrial control systems have strict requirements for time-sensitive applications and clock synchronization services. Performance of such applications is adversely impacted by packet delays and jitters. The impact is especially critical in process industries due to harsh environmental conditions. In this paper, we analyze delays and jitters to assess the performance of time-sensitive applications. To this end, we captured and analyzed round trip delay data retrieved from a paper factory. Analysis shows that a sub-millisecond level average delays and the jitters derived from the observed data are sufficient to meet the minimum 10ms update frequency required for most critical control applications. Moreover, the filtered delay variations at the end devices are less than the recommended 150us, which guarantees an adequate time synchronization accuracy in the factory network. Besides, this analysis can provide significant insights into performance bottlenecks for factory applications.

Nowadays, in this digital word text is one the vital knowledge carrier. Text can be perceived as structure of symbols which is accustomed to convey, transfer, or inherit civilization and way of life. It is among the major influential novelties of man kind; text performs crucial role in existence of human being. Text can be seen in all places in our day-to-day life. Thus, obtaining data from text which is present in scenarios of our day-to-day life is important. Processing the text that is present in natural scenario has two primary tasks namely Text identification and Text acknowledgment. The method of taking out text body from the natural scene is called as Text detection whereas the procedure of categorizing the characters from scene image which form expressive words is called as Text recognition. There are so many applications of scene text detection in different fields, e.g., intelligent inspection, blind navigation, industrial automation, automotive assistance, robot navigation, instant translation, automatic driving and product search, etc. Thus, street view text detection and recognition have allured rising research consideration in past few years. This paper as first step focuses on Text detection methods for natural scene images.

Paper-based digital microfluidic biochips (PDMFBs) are becoming highly effective among the microfluidic platforms due to its low-cost and in-place fabrication. The designed electrodes and wiring can be fabricated on a piece of paper by an inkjet printer and conductive ink containing carbon nanotube particles (CNTs). However, due to induced control interference, the wires cannot pass by an arbitrary electrode. Each wire that is to be routed possesses its conflict electrode group, which must be avoided for a feasible droplet movement. This paper presents a fluid-control co-design considering several important cost-driving issues like minimization of schedule length, control pin count, and wirelength, together with congestion-free and conflict-free wiring. Observably, design gaps exist among the sub-tasks of the fluid-level, control-level, and fluid-control as a whole, due to their separate considerations. It indeed introduces many design cycles lengthening the design process, and thus increases the overall cost. In this context, this work integrates the sub-tasks as a prior need to obtain a low cost and efficient platform. Several benchmarks have been studied to evaluate the performance.

The Paper-to-Reviewer Assignment Problem is a prevalent and challenging problem within the scientific community and scientific conferences. The large number of reviewers and submitted papers, as well as constraints on reviewers’ loads and papers’ coverage needs, make difficult and very tedious for the committee chair to manually assign submitted papers to suitable reviewers. Any automation of this task must tackle three main issues: modeling reviewers’ and papers’ profiles, estimating the relevance between a paper and a reviewer and finally finding an appropriate assignment.In this paper, we are interested in the two first issues. We propose to build the reviewers profiles on the basis of both pedagogical and research documents, then a formula that takes into account both topics similarity and common references is proposed. Experimental results compared to ground-truth values extracted from ICA2IT’19 data show a good performance of this approach.

Despite tremendous advancement of digital IC design automation tools over the last few decades, analog IC layout is still heavily manual which is very tedious and error-prone. This paper will first review the history, challenges, and current status of analog IC layout automation. Then, we will present MAGICAL, a human-intelligence inspired, fully-automated analog IC layout system currently being developed under the DARPA IDEA program. It starts from an unannotated netlist, performs automatic layout constraint extraction and device generation, then performs placement and post-placement optimization, followed by routing to obtain the final GDSII layout. Various analytical, heuristic, and machine learning algorithms will be discussed. MAGICAL has obtained promising preliminary results. We will conclude the paper with further discussions on challenges and future directions for fully-automated analog IC layout.

In education field, the importance of education system is the part of the most significant aspect of our social orders at all levels. Thus, a student's performance can only be tested by providing them with an examination or assessment. Examinations are very crucial as it is an activity which is performed to evaluate the performances of students. Besides students performances, the quality of the examination questions prepared would also determine the quality of the students but the most important yet challenging task is the creation of the examination questions paper which is known to be very tedious, time consuming and expensive therefore it should be prepared with full focus, right formatting and with the right selection of questions.

Fog-based radio access network (F-RAN) have the potential to meet the stringent latency and bandwidth requirements of next-generation mobile networks. However, the current F-RAN is implemented mainly by utilizing dedicated hardware and does not leverage on the available large number of distributed edge devices. This motivated us to recently propose the idea of an opportunistic fog RAN (OF-RAN) which introduces the concept of a virtual fog access points (v-FAP) formed by two or more local edge devices (referred as service nodes), and monitored by physical FAPs (referred to as seed nodes). Some of the challenges arising from having many devices opportunistically deployed to serve client nodes are accessing, forming and managing them. In this paper, we propose to harness blockchain technology for assigning roles and permissions to service nodes and seed nodes in our OF-RAN, and supporting the formation and management of v-FAPs. For this blockchain architecture, the distributed formation and management algorithm (DFMA) is implemented as a script in the smart contract. The blockchain then executes the logic of the smart contract while considering the resources from all service nodes participating in the system. By integrating OF-RAN with blockchain systems and smart contracts, it is possible to provide verifiable automation of physical processes involving different nodes.

Microfluidic devices promise to automate wetlab procedures by manipulating small chemical or biological samples. We are developing a full-stack microfluidic automation platform that allows and allows users to scale up the complexity of microfluidic programming, encouraging them to mix fluidic manipulations with traditional programming. Puddle is a runtime system that provides a high-level API for microfluidic manipulations. It manages fluidic resources dynamically, allowing programmers to freely mix regular computation with microfluidics, resulting in more expressive programs. It also provides real-time error correction through a computer vision system, allowing robust execution on cheaper digital microfluidic hardware. We have been running Puddle on PurpleDrop, a new digital microfluidic device that is affordable and has novel features such as fully automated input/output of fluids. With this combination, we have demonstrated PCR with automated replenishment, a DNA sequencing preparation protocol, and the complete retrieval of digital data stored in dehydrated spots of DNA on the device's surface. Going forward, we see Puddle and PurpleDrop as part of a platform for further research. PurpleDrop is affordable and extensible, which makes a compelling case for adding new periferials or even scaling out by connecting multiple devices. And Puddle provides a flexible and abstract programming model that could enable microfluidic programs to run on different hardware targets (DMF or liquid handling robots), or even a combination thereof.

The fully-acceptable metrology product automation verification system is designed and designed based on the automation and assembly line form. According to the nature of the operation and the processing sequence, the fully-compatible verification detection system is divided into different modules. The modules are connected by conveyors, adopting modularization and flowing water. The fully compatible verification detection system should implement orderly management, realize data traceability and intelligent analysis, and can query and export historical data and various events of the full compatibility verification detection system operation, and have accurate and complete verification data records. Effectively guarantee the quality of the verification results.

Is robotics, automation, digitalization, artificial intelligence or any of the current buzzwords really going to disrupt our world? Prof. Dominik Boesl thinks so – in fact, it can even been proven! In order to predict technological breakthroughs, the domains of foresight, future studies and technology assessment offer interesting methods. One of the most know might be the analysis of megatrends. Dominik Boesl is researching the future of robotics, automation and AI and their impact on society out of HDBW (Hochschule der Bayerischen Wirtschaft) in Munich. He is convinced, that our grandchildren will grow up as first Generation R of Robotic Natives – leaving us the last generation of Robotic Immigrants (still with analogue migration background, but …). These future generations will not be afraid of robotics and smart systems permeating their living realm. But technology is never good or bad out of itself – it depends on us how we apply it. The bigger the disruption, the larger the responsibility that comes with it. As chair of the global IEEE TechEthics initiative, Dominik fosters educated discourse about the application of technology and its impact on society and humankind. He is founder and chairman of the Robotic & AI Governance Foundation, pushing for governance structures to (self-)regulate the research, development and productization of automation technologies.

Researches have been carried out in the past and recent years for the automation of examination systems. But most of them target on-line examinations with either choice-based or very short descriptive answers at best. The primary goal of this paper is to propose a framework, where textual papers set for subjective questions, are supplemented with model answer points to facilitate the evaluation procedure in a semi-automated manner. The proposed framework also accommodates provisions for reward and penalty schemes. In the reward scheme, additional valid points provided by the examinees would earn them bonus marks as rewards. By incremental up-gradation of the question case-base with these extra answer-points, the examiner can incorporate an automatic fairness in the checking procedure. In the penalty scheme, unfair means adopted amongst neighboring examinees can be detected by maintaining seat plans in the form of a neighborhood graph. The degree of penalization can then be impartially ascertained by computing the degree of similarity amongst adjoining answer scripts. The main question-bank as well as the model answer points are all maintained using Case Based Reasoning strategies.

This paper presents enhancements of Service Oriented SystemJ (SOSJ) framework, which extends a system-level language based on GALS model of computation SystemJ with services, into a new programming paradigm amenable for designing dynamic distributed automation systems such as reconfigurable manufacturing systems. The new paradigm combines correct-by-construction software systems development available in SystemJ with the dynamic features of service oriented architecture. The new approach introduces macro states into fundamental concurrent and distributed entities of SOSJ, called clock domains, which address typical behaviors in dynamic distributed systems. We showcase the use of the new paradigm on an example of reconfigurable manufacturing scenarios in a dynamic manufacturing system.

The design and engineering of solutions based on sensor data is currently based on legacy low-level sensor communication. The transition to IoT-based sensors has started to provide IP-based sensor communication based on service concepts. This requires radically different solution architectures and the associated engineering process. Here, IoT sensors will provide services instead of a communication interface, as a means of integrating into application solutions. It is further anticipated that the size of the solution will reach well beyond that of the current legacy automation implementations.This paper addresses architectural concepts for very large-scale SoS- and IoT-based solutions. Architecture concepts and their associated engineering concepts are considered. IoT and SoS evolvability, run-time dynamics, scalability and segmentation, run-time engineering, self-engineering, self-mitigation, and machine-to-machine business are some examples of such concepts. These concepts must be coupled with the requirements such as the management of IoT/SoS solution functionality, security, safety, maintenance, and evolution.

Internet of things (IoT) is becoming remarkable automation, a connectivity between the objects ("things") and the back-end systems via the Internet. IoT provides distinct functions in discrete fields like smart city, traffic control, waste management, surveillance and security, industry sector and medical sector [3].Medicinal system has examined a demand for smart machines and gadgets to reduce the incompetency of the medical management available.IoT sensors embedded in hospitals has enhanced technology and eliminated traditional healthcare and the whole medical system. A survey was conducted through questionnaires where the respondents gave a positive reaction towards the smart healthcare system. This paper will give a glimpse of the applications of IoT served in the healthcare system.

We describe the importance of sensors and sensing concepts for digitalization of large automation systems. Process industries have been adopted as a starting point. Two recent developments in temperature sensing are given as examples for sensor innovations with a potentially strong impact. Non-invasive and model-based sensing have been identified as trends. Advanced concepts for power supply and communication of sensors are discussed. An attempt is made to identify and interpret recent component developments, standards and systematic ideas, which may be relevant for large sensor systems in many areas.

One of the key services of the upcoming fifth generation (5G) of wireless communications systems and beyond is considered to be ultra-reliable low latency communications (URLLC). However, enabling URLLC is challenging due to the strict requirements in terms of latency and reliability. Focusing on the demands of wireless factory automation, the scope of this work is to discuss conflicting priorities of resource allocation for URLLC networks such as matching stability, fairness between multiple users, and maximum throughput. Since wireless factory automation requires also cost-efficiency and global applicability, the unlicensed 5 GHz ISM band is modelled as an interference-limited multi-connectivity system. In the context of stable matching the influence of the parameter quota is studied, characterizing the maximum number of channels for any user. In order to link stable matching with minimum rate requirements, a new resource allocation algorithm is proposed. Selected approaches are applied to an exemplary scenario and their performance is comparatively evaluated to analyze the trade-offs between achieved maximum sum rates and fairness, i.e., minimum per user rate.

Clinics with limited resources rely on paper patient records because they are easy to use, reliable, and can be supported by the clinics' financial and technical resources. Electronic health record (EHR) systems provide benefits in patient information management and reporting; however, they often require financial and technical resources that exceed those available to the clinics. This paper hypothesizes that limited-resource clinics could successfully install and sustain a patient-record automation system if it did not require resources beyond the reach of those clinics—if such a system was available. Because no system was found, the piClinic Console was developed to test this hypothesis. The piClinic Console is a Raspberry-Pi-based, patient-record automation system that provides essential patient-record automation functions and runs on hardware that costs less than $300 USD per clinic. This paper describes the features that provide the most benefit to the clinics and that run on a low-cost system as determined through end-user observation, participatory design, and iterative user testing. Preliminary testing shows that the piClinic Console can provide immediate benefits to clinic information processing and can prepare the clinic for a smoother transition to more complete EHR system when the resources to sustain one become available. The piClinic Console system is in its early stages of field testing and this paper describes the design and development process, the results of performance and user testing, and the plans for future research and development.

This paper describes the design of, and the lessons learned from, a deployment of 300 smart motor control centers for a large oil and gas project in Eurasia. The same smart electronics were deployed in motor control centers manufactured by three different suppliers. The standardization of communication, power system protection, and automation designs across the entire project reduced the need for spare parts, provided consistency across all locations, integrated condition monitoring equipment, and provided interfaces to process control systems. Arc-flash and conventional protection schemes were provided. Manufacturing, testing, and design methods are shared in this paper.

In this modern world, the correct identification of paper currency is an essential need for the automation of current systems. The automatic currency identification method is highly required to reduce the human power in recognizing the currency and its associated value. Sometimes, the damaged or blurred currency and the complex design of the currency make the task of identification much difficult. In this paper, a method is proposed that can identify paper currency by considering the identification marks given on the currency. Specifically, this study focuses on the identification of Pakistani paper currency. The proposed method makes use of the fundamental image processing techniques for differentiating the major denominations. Particularly, the proposed algorithm uses Otsu’s thresholding method and circulatory matrix criteria for locating the special identity marks given on the currency. The effectiveness of the proposed approach has been shown by performing various experiments on all of the major denominations of Pakistani paper currency with varying intensities. The Proposed method shows quite satisfactory results in terms of accuracy and efficiency.

The pharmaceutical supply chain is typically viewed from the position of raw materials, production, transportation and distribution right through to administration to a patient. Due to the nature of the product being produced waste management and the disposal of waste product is of upmost importance and highly regulated. The demand for tracking, tracing and monitoring of produce has elevated as regulation and environmental awareness has come to the fore. A standard procedure for managing waste at pharmaceutical companies as with many other industries is to use paper based systems occasionally augmented with a rudimentary transactional (OLTP) database system. Such systems are often cumbersome and time consuming requiring significant effort and time from skilled staff. Several other industries that operate under similar conditions have been quick to adopt track and trace sensor technologies. The spread of technologies such as RFID has given rise to the Internet of Things (IoT) with systems linking digital information, to real world physical items. In this sphere, the Internet connects with business processes through this network of connected objects. Given the potentially vast amount of data stream from such waste systems. IoT systems demonstrate potential to automate the waste tracking task providing faster and more reliable data. Such data may then be examined and datamining techniques applied to extract interesting patterns and provide for process improvement in utilizing business intelligence. This research describes the automation of paper tracking system using RFID, IoT and cloud technologies in a pharmaceutical company to record the waste created and track its progress through the plant to its loading on a transport container for shipment to an incinerator.

This paper describes wireless control and automation of various processes in paper mills using CC3200. Embedded web server is preferred over PC server in case of internet applications based on client/server architecture for its decreasing size, cost and power consumption. CC3200 has an exclusive feature of low power consumption which makes it convenient for use in industries. A user-friendly webpage interface nodered is introduced to the users and system administrators to locally (LAN) or remotely (internet) manage and control the processes. Email alerts are sent to the users in case of faults and intelligent algorithms can be implemented to rectify the faults which improves the efficiency of the system.

We describe the evolution of a system designed to allow digital grading, by a human, of traditional paper-based exams or homework assignments. We present a number of new features that build upon the system described in a paper previously published in ITiCSE 2008 [1]. In particular, our system now has the ability to monitor an enormous range of data, from individual question scores, to variances for the same questions across different graders, to question and exam statistics from one semester to the next. The system boasts a number of benefits over paper based grading. Overall grading time is reduced — small courses will see a modest improvement, while large courses can see their grading time cut in half due to the automation of many of the tasks: flipping to the correct page, summing up the pages, recording the grades, returning the exams, etc. Rapid grading of exams can also aid students in a better understanding of the material, as the exam questions are still fresh in their minds when the tests are returned. Simultaneous grading across multiple locations is possible, as there is no single paper copy to hand off to the next grader. Permanent digital records are kept of the exams, allowing for viewing of exams at a later date.

The complexity and difficulty for designing and developing automation programs based on the IEC 61131–3 [1] is continuously increasing. With the VDI/VDE/NAMUR 2658 [2] a new level of complexity will be reached - control modules with more complex interfaces, services as functional capsulation in process operations and interdependencies to other unknown up- or downstream modules. In these applications, the proven procedural approach reaches its limits. The object-oriented paradigm could be the solution. However the object-oriented extension of [1] is not supported in many available plc development tools. This results in a low acceptance and low experience in object-oriented thinking by plc developers. This paper will be focused on an object-oriented motivated transformation of design principles and patterns into Structured Text. The results are demonstrated in form of a best practice implementation for programs compliant to [2]. The presented approach does not use any kind of supportive or generating tools, it's based completely on the possibilities of IEC 61131–3.

The paper mainly introduces the application of closed hood in process of paper produce. This closed hood control system bases on PLC and inverter. In this system, the data collection, calculation, loop control and the communication of PC are completed by PLC. This control system has been applied in medium and small automation transform paper machine. It is practically showed that the output of machine and the stability have been improved by the control system.

As pricing and margin pressures in the pulp & paper industry continue to increase, overall equipment effectiveness (OEE) has become more than just a catch phrase; it is an essential element in the viability of any player in the industry. Every level of the organization can have an impact on OEE - positive, and negative. This paper discusses how remote monitoring and expert diagnostic support fill the need to improve OEE by supporting operations, maintenance, engineering and management. These programs assure assets are in operation longer, machines perform at or above design production speed for a given product and ultimately delivering more saleable product. This is accomplished by reducing or eliminating instances of unscheduled down time, reducing the duration of such down time, increasing the effectiveness, availability and value of support resources, increasing quality by optimizing system performance and by delivering return on investment (ROI) to management. Real-world pulp & paper industry case examples are used to demonstrate how remote monitoring and expert diagnostic support programs actually affect ROI for existing users. These case examples range from predictive failures of simple devices to deep dive (in-depth), system design, performance and product issue analyses and resolutions.

This paper describes design and architecture of control software for a microrobotic paper fiber characterization platform. Mechanical properties of an individual paper fiber determine the key parameters affecting the quality of a paper sheet. However, thousands of paper fibers must be analyzed in order to produce statistically reliable data. This paper presents control software that aims at automation of an in-house developed paper fiber characterization platform.

Based on Circular Economy theory, the sh aring system about circulating packaging (SSCP) of the express delivery industry is put forward with the sharing circulating packaging (SCP) as the research object, to promote the green development of Chinese express delivery industry. The structure of the SSCP of the express delivery industry and the main work that needs to be done to construct the system were briefly described. According to the different operation modes of the SCP of the express delivery industry based on lease mode, the different circulation processes are designed and the corresponding models are set up to achieve the recycling of the SCP.

Nowadays, manufacturers are increasingly able to collect and analyze data from sensors on manufacturing equipment, and also from other types of machinery, such as smart meters, pipelines, delivery trucks, etc. Nevertheless, many manufacturers are not yet ready to use analytics beyond a tool to track historical performance. However, just knowing what happened and why it happened does not use the full potential of the data and is not sufficient anymore. Manufacturers need to know what happens next and what actions to take in order to get optimal results. It is a challenge to develop advanced analytics techniques including machine learning and predictive algorithms to transform data into relevant information for gaining useful insights to take appropriate action. In the proposed research we target new analytic methods and tools that make insights not only more understandable but also actionable by decision makers. The latter requires that the results of data analytics have an immediate effect on the processes of the manufacturer. Thereby, data analytics has the potential to improve industrial processes by reducing maintenance costs, avoiding equipment failures and improving business operations. Accordingly, the overall objective of this project is to develop a set of tools — including algorithms, analytic machinery, planning approaches and visualizations — for industrial process improvements based on data analytics.

Radio frequency identification (RFID) systems for paper industry are an emerging research topic due to the need for automated identification system for paper industry which would carry on the identification codes of paper and board reels throughout their life cycle, from paper mill to end user. End userspsila needs play on important part in exploiting RFID in paper industry, because they set the requirements and specifications for the reels they order from manufacturers. This paper discusses the application of passive ultra-high frequency (UHF) RFID systems to paper industry, concentrating especially in the end users point of view. The supply chain of paper reels is presented and identification locations in supply chain are discussed. In addition the case study of printing house as end user of the paper reel was performed including measurements in application environment, and results are presented in this paper.

Aiming at the disadvantage of insufficient heat supply of traditional heat pump system, this paper introduced a new kind of heat pump dry system for paper machine, which adopted the blowing steam control solution and a new control algorithm. This system improved the paper machinepsilas steam utilization ratio and automation lever, especially on the aspects of economizing on energy and sheet-broke treatment. This system also successfully solved the dry sectionpsilas condensate drain blockage problem. Proved through practice, it is worthwhile to popularize.

Advances in nanotechnology, large scale computing and communications infrastructure, coupled with recent progress in big data analytics, have enabled linking several billion devices to the Internet. These devices provide unprecedented automation, cognitive capabilities, and situational awareness. This new ecosystem--termed as the Internet-of-Things (IoT)--also provides many entry points into the network through the gadgets that connect to the Internet, making security of IoT systems a complex problem. In this position paper, we argue that in order to build a safer IoT system, we need a radically new approach to security. We propose a new security framework that draws ideas from software defined networks (SDN), and data analytics techniques; this framework provides dynamic policy enforcements on every layer of the protocol stack and can adapt quickly to a diverse set of industry use-cases that IoT deployments cater to. Our proposal does not make any assumptions on the capabilities of the devices - it can work with already deployed as well as new types of devices, while also conforming to a service-centric architecture. Even though our focus is on industrial IoT systems, the ideas presented here are applicable to IoT used in a wide array of applications. The goal of this position paper is to initiate a dialogue among standardization bodies and security experts to help raise awareness about network-centric approaches to IoT security.

Automation plays an important role in production industry for improving the quality and throughput of the end product. In most of the textile industries, manual inspection of the manufactured product is done for identification of quality parameters such as dimensions and features. Manual assessment is costly, time-consuming and sometimes inaccurate for color analysis and matching. As a solution to this problem, we can use image processing techniques for color analysis and matching by using Microsoft Visual Studio, OpenCV, Python and C#. The GigE camera is used for acquiring the image of the fabric and analyzed for color matching using the above software platforms. The objective of this project is to perform color matching in fabrics for quality measures and to increase the efficiency of the process. Euclidian distance method and k-means color clustering method are performed for getting the required output and increasing throughput. It is found after experimentation that k-means color clustering method gives better results as compared to the normal Euclidian distance method. This is due to machine learning involved in k-means color clustering method, which helps in the identification of different color clusters in a fabric piece and setting standard values for color match of a fabric, thereby increasing the chance of getting a perfect color match.

Although Moore's law is slowing down, design productivity is still a big issue in semiconductor industry. Drivers are the trend to 3D integration, the addition of design goals such as ultra-low power and safety, and an increasing number of designs in IoT and automotive areas. EDA tools such as high-level synthesis cover a small design area only. Also, the impact of IP reuse is overestimated since IP integration often requires complex configuration and additional software to be developed. To continuously increase design productivity, Infineon heavily relies on an in-house automation framework that utilizes Python as language for automation and synthesis. It supports (and makes use of) classical HDSLs to describe specific design aspects. Mostly structured specification formalisms such as tables, requirements or diagrams (e.g. SysML subsets) are used. These formalisms can be seen as HDSLs with the additional benefit that they exist as a result of a specification process, i.e. need not be coded explicitly. To be able to deal with several formalisms, Infineon's automation framework follows OMG's MDA vision and utilizes meta-models e.g. for generation of infrastructure code. This work focuses on the aspect of combining DSLs, defining a formal semantic for HDSLs and using this definition to validate the correctness of the mapping of HDSLs to HDLs, an essential pillar to connect HDSLs to today's design flows.

Smartphones are becoming increasingly complex, and the interactions between the different applications make testing even more difficult given the time-to-market pressures and the limits of current test automation systems. Towards these ends, we have built an open source test model library for Symbian S60 GUI testing. This paper describes and analyzes our experiences in building the library.

Automated production systems are design-to-order, custom-built mechatronic systems that are intended to deliver automation capabilities to satisfy the stakeholder requirements in the manufacturing/production domain. Traceability has its research root in requirements engineering (RE) and is defined as "the ability to describe and follow the life of a requirement". Such descriptions and followings have mainly been scoped within a single software project's process and artifacts. We argue that, in the context of automated production systems, the scope of traceability shall go beyond the software engineering boundary into the environments which the software is operated. We outline in this position paper our aim to define a new form of the trace links and to explore the role of these links in the RE of automated production systems. In particular, we adapt a formal interaction-oriented RE framework that focuses on specifying the commitments of participants rather than the goals of each individual participant. We then integrate model checking into the framework to elaborate when, why, and how much traceability should be instrumented. We demonstrate our approach with a bench-scale automated production system where model-driven engineering practices such as constructing and evolving SysML models are adopted.

A poor economic outlook and greater competition are forcing the pulp and paper industry to introduce greater efficiency and more flexibility into production processes. This also includes greater plant flexibility in order to meet the changing demands of the customer. With relatively high operating costs, this is the only way that long-term plant capacity and operation can be maintained. Plant designers and operators are looking for ways to identify and tap this potential for efficiency and cost reduction. Traditional concepts of plant design, commissioning and operation are being very closely examined with instrumentation at the field level looked at critically. The authors discuss the move to digital instrumentation, smart transmitters, and fieldbus technology with particular emphasis on PROFIBUS. >

Despite of all known hazards of plastic pollution, it's prevalent and pervasive in India. Polythene bags are major contributors to it. Polythene bag production is easier and cost effective as compared to its eco-friendly alternatives. Paper bag is closest economical alternative to the polythene bag. In this paper, we try to address the several issues that makes paper bag production economically incompetent with polythene bags. We propose a flexible assembly line controlled by a microcontroller to automate paper bag production. The system is capable of handling different sizes and textures of the paper. It has provision to control the speed of production and monitor the quality of the output. We have used commodity hardware × microcontrollers and DC motors unlike previous attempts using PLCs, servo motors. The reliability and fault tolerance is achieved through software rather than using expensive hardware. The system autocorrects itself based on the paper quality feedback recorded automatically or manually. We believe the system can play an important role in making paper bag production costs comparable to polythene bags.

A solution to dramatically curtail both 'insider' and 'outsider' property theft and diversion problems may be both available and affordable. A Key Assets Protection and Recovery System is proposed. The system integrates advances in microprocessors, machine readers, image processing, fast data finding technology, and computer-based automation to produce a prototype system for use throughout Acme's worldwide operations. It comprises an electronic article surveillance system, communications, a pass and identification system, and an investigations support system. These elements can be designed and built from the outset or added together separately as the local situation demands. Elements of the Key Assets Protection and Recovery System can vary from the simple to the very complex, depending on the specific situation's particular requirements, existing equipment and communication links, current data bases and watchlists, the number of records to be processed, and a variety of other risk/benefits trades. >

In this present day Embedded field most of research focused is on Embedded Linux. Our focus in this paper is Sensor Networking and Automation used for domestic and industrial applications. Using Rassberry Pi 2 developing on python editor & cortex processor presents a design and prototype implementation of new home ill automation system that uses WiFi technology as a network infrastructure connecting its parts. The proposed system consists of two main components; the first part is the server (web server), which presents system core that manages, controls, and monitors users' home. Users and system administrator can locally (LAN) or remotely (internet) manage and control system code. Second part is hardware interface module, which provides appropriate interface to sensors and actuator of home automation system. Unlike most of available home automation system in the market the proposed system is scalable that one server can manage many hardware interface modules as long as it exists on WiFi network coverage. System supports a wide range of home automation devices like power management components, and security components. The proposed system is better from the scalability and flexibility point of view than the commercially available home automation systems.

In this Plenary paper the most important scientific challenge of knowledge learning is reviewed thought two different approaches: Deep Learning (DL) and Wise Learning (WL).

In this paper presents an algorithm, aims at practical applications, for the high speed processing and performance enhancement of vehicle detection base on vision processing system. As a preprocessing for high speed vehicle detection in the night, the vanishing line estimation and the optimal extraction of ROI (region of interest) for can be processed to reduction of detection region in which high speed processing is enabled. In order to get better performance the image need pre-processing. Legally vehicle tail light must be red color, so we use the red plane image with simultaneous processing of noise reduction and edge enhancement using the adv morphology function. And then give Dilation and Erosion eliminating the noise through the process of Morphology. Finally, using the Projection-Histogram information get the center of mass by restricting threshold detects a vehicle in the ROI. This method is more efficient than simply detecting and sliding the entire screen. Finally, the various real road experimental results are presented to evaluate the effectiveness of the proposed method.