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A performance of network is evaluated by considering different parameters. The network lifetime depends on many factors Residual energy, Link lifetime and Delay. The Major Challenge in IoT is to the increased lifetime of low power and lossy network (RPL).The process considering input and output to evaluate Network performance by considering the above factors. The proposed system makes use of FIS (Fuzzy Inference System) for selecting the best path to maximize network lifetime. The outcome obtained by using MATLAB and Network performance is increased. The excellent route is selected if Residual Energy is 194, Link quality is 51.2 and Delay is 1.05 then excellent route quality is 73.4%.

Lucerna (Medicago sativa L.) je kultura za koju je karakteristična prisutnost tvrdog (dormantnog) sjemena, koje je živo ali ne klija pri ispitivanju kvalitete sjemena. Zbog malih potreba za sjemenom lucerne i velikog uvoza u Republiku Hrvatsku, nerijetko se događa da sjeme stoji u skladištu tri do četiri godine. Udio tvrdog sjemena sa starenjem, promjenom temperature i vlage zraka se smanjuje, te s tim neposredno utječe na zadržavanje razine klijavih zrna kroz duže vrijeme skladištenja. Alfalfa (Medicago sativa L.) is a crop characterised by presence of hard (dormant) seed that are viable but do not germinate in seed quality testing. In Republic of Croatia seed are frequently stored for three to four years due to low needs for seed of alfalfa and considerable import. The share of hard seed is decreased by storage time, temperature and air moisture changes and therefore directly keeps the level of seed germination in a longer period of storage.

This study was carried out as split split plots in a randomized complete block design with three replications at Research Field of Agriculture Faculty, during 2014-2015 in Iran. In this study, the main factor was two safflower cultivars including: Sina and Faraman and subplot were foliar application of fulvic acid in 2 stages as: stem elongation and flowering and also sub sub plot were 3 different fulvic acid concentrations including as: 0: control (distilled water), 0.5 and 1 kg*ha-1. The results showed that the characters including: numbers of seed in head, 1,000 seed weight, seed yield, harvest index and oil percent were affected significantly by safflower cultivars, and also head weight were affected in different growth stages. Also the results of fulvic acid were showed significant different about head numbers, numbers of seed in head, biological yield, harvest index and oil percent. In this study the maximum seed yield and oil percent were achieved by Faraman cultivar in comparison with Sina, as it produced 14.33 and 19.5 percent more seed yield and oil percent in arrangement. Foliar application in stem elongation stage obtained 6.02 percent more seed yield but in flowering stage, fulvic acid spraying were achieved 35.5 percent more oil percent. Finally the results showed the positive effects of foliar application of fulvic acid in 1 kg*ha-1, as it produced 85.67 percent more oil percent in comparison with control.

Uncertainty of traffic in cities makes it difficult for metropolitan buses to adhere to predetermined schedules, making it strenuous for commuters to plan travel reliably. The proposed LocateMyBus system leverages Internet of Things(IoT) set-ups at bus stops and buses, and Machine Learning(ML) to assuage this uncertainty by allowing commuters to track live-runningstatus of buses, disseminate tentative and live-status to commuters through Public Announcement(PA) systems at bus-stops and a web-application interface. The schedule prediction module provides a tentative schedule of buses with stop-wise arrival times estimated using ML based on historic and real-time route data. Arrival times of two bus-routes in the Massachusetts Bay Area were collected for a period of four months by periodically querying its real-time General Transit Feed Systems(GTFS). This dataset was used to train and validate the proposed ML methods. The IoT system was modeled on Proteus, and validated with a miniature prototype. LocateMyBus is proposed as a step forward toward minimal intervention algorithmic set-ups to ease the uncertainty associated with bus commute in cities. It enables commuters to track live running status and avail ML-predicted tentative schedules. Furthermore, it eradicates the computation requirements of GPS-based systems, whilst ensuring stop-level tracking granularity. LocateMyBus's ability to log bus arrival times at each stop paves the way to building real-time GTFSs.

Goal-oriented vision-guided biped locomotion requires a high degree of coordination between perception and walking. How to establish this coordination remains a fundamental and rarely studied problem in legged robotics. Some of our investigations into this field are outlined in this article by presenting recent results in vision-guided biped locomotion. The guidance and control approaches developed are experimentally validated on the biped robot BARt-UH. It is shown how perception techniques are employed in closed-loop for step sequence adaptation and locomotion control of a walking machine.

Broj pametnih uređaja svake godine sve više raste. Od pojave Interneta stvari pametni uređaji se mogu međusobno povezati, te se između njih mogu prikupljati i dijeliti podaci. Kako bi se pojednostavilo korištenje pametnih uređaja, te se također uštedilo vrijeme i novac, koristi se automatizacija. Razvojem platformi za pametni dom sve se više pametnih uređaja može upariti pomoću kojih se implementira automatizacija. Studijskim primjerom prikazana je automatizacija pametnog doma pomoću platforme Home Assistant. Pomoću platforme integrirani su virtualni pametni uređaji te je automatizacija implementirana pomoću četiri alata za automatizaciju. Alati korišteni u studijskom slučaju su: Home Assistant, Node-RED, AppDaemon i IFTTT. Svaki alat nudi različit način automatizacije te je prikazana jasna razlika u korištenju svakog od alata. Prikaz automatiziranog pametnog doma s virtualnim pametnim uređajima implementiran je u programskom jeziku Java gdje se za prikaz korisničkog grafičkog sučelja koristi API JavaFX. Za slanje poruka o stanju uređaja korišten je protokol MQTT. The number of smart devices is growing every year. Since the advent of the Internet of Things, smart devices can be connected to each other and data can be collected and shared between them. Automation is used to simplify the use of smart devices and also to save time and money. With the development of smart home platforms, more and more smart devices can be connected together to implement automation. A case study shows smart home automation using the Home Assistant platform. The platform integrates virtual smart devices and automation is implemented using four automation tools. The tools used in the study case are: Home Assistant, Node- RED, AppDaemon and IFTTT. Each tool offers a different way of automation and there is a clear difference in the use of each tool. The automated smart home with virtual smart devices is implemented in the Java programming language and the JavaFX API is used to display the graphical user interface. The MQTT protocol was used to send device status messages.

Demand for higher value-added wood products stimulates research for new, mainly mechanized, thinning operations in order to increase productivity and reduce production costs. In this context, the aim of this study was to evaluate the impact of distance between strip roads on forwarder productivity and costs of thinning operations in Pinus taeda stands. The study was carried out in 10-year-old Pinus taeda stands located in Parana State, Brazil. Two thinning methods were evaluated: (1) TH5: systematic harvest in every fifth tree row and selective harvest in adjacent rows; and (2) TH7: systematic harvest in every seventh tree row and selective harvest in adjacent rows. Working cycle times, productivity and costs were determined through a time-motion study of the forwarder. The additional variables evaluated were wood assortments (industrial wood and energy wood) and extraction distances (50, 100, 150 and 200 m), and mean values were compared between thinning methods using t tests for independent samples (α=0.05). Loading and unloading elements consumed the most time in the working cycle, with lower participation time in TH7 due to greater availability of logs along the strip roads (higher pile volumes), influencing total cycle time up to the mean distance of 150 m for both assortments. TH7 consequently showed 6% higher productivity, its energy yield was 5.3% lower and its production cost was 3.0% lower.

The forest operations engineering and management community has been facing the problem of improving its scientific visibility, realigning its research efforts to the future challenges, and of strengthening its self-confidence. The paper aims at exploring the paradigms that shaped the development of forest operations as a scientific discipline, sketching a vision how forest operations could look like in 2020, establishing a common understanding for future of the discipline, and discussing the major challenges ahead. The investigation identified five periods of steady state development (paradigms) and developed a vision of network-based forest operations systems, built of »self-organizing« cells. It then discusses the challenges that we will probably been faced with in the fields of »harvesting and transportation engineering«, »forest operations management«, »forest ergonomics«, and »forest operations ecology«. The study intended to trigger a broad discussion on the future directions of forest operations engineering and management, and to build a basis for a redesign of corresponding curricula in higher education.

In Italy, there has been a significant increase of the areas cultivated with short-rotation forestry (SRF) poplar (Populus spp.) for the production of lignocellulosic biomass. This species has been generally introduced on soils managed with conventional farming practices that led to the formation of a hardpan. This constitutes a serious obstacle for root development and water availability, which affect the successful establishment of the plantation. To this end the Unit of Agricultural Engineering of the Agricultural Research Council (CRA-ING) has developed a new system for reduced tillage (RT), to be used during the establishment of SRF poplar. This new system aims at breaking the tillage pan and at reducing both traffic intensity and site preparation cost. A new machine has been developed, which is based on a commercial rotary plough, suitably modified by adding a shank subsoiler. This machine can perform both deep soil ripping and surface ploughing in a single pass, treating narrow strips where poplar cuttings are to be planted. The study compared conventional tillage (CT) with RT, showing that latter allowed a dramatic reduction of the number of field operations and of all related problems, while creating better conditions for poplar rooting without meaningful effects on yield.