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In the paper hardware and software of lighting control system are designed within the office building based on C-bus. In terms of hardware design, C-bus controller is chosen as the main control part of the whole process to implement the lighting dimming control. In the aspect of software design, the use of C-bus programming software can realize the characteristics of the complete set, multi-channel dimming light and infrared induction control implementation. The black and white touch screen is used to complete the multi-channel dimming of parameter settings and information display.

This paper analyzed the important of lighting in museum from three main aspects, environmental lighting. LED lighting can not only meet requirements of museum lighting, and also has advantage of protecting historical relics and intelligent energy saving. The dimming control of accent lighting is achieved by infrared detection, distance detection of visitor and exhibits. Intelligent lighting and bionic controlling improve the intelligent level of exhibition, protect historical relics effectively, reflect the topic of energy saving and environmental protection.

A solid-state lighting technology was demonstrated at a US Navy Research Center in Maryland – where light-emitting diode (LED) luminaires were substituted for existing high pressure sodium (HPS) streetlighting units, and an intelligent lighting control system was deployed. This paper summarizes the prudent engineering design and implementation of the demand-sensitive feature of the LED streetlighting system at Naval Surface Warfare Center (NSWC) Carderock Division that provides an annual average electricity and CO2 savings of 74%. In addition, technical system performance and life-cycle assessment of the HPS and the new LED systems are discussed. Best practices and field experience that can help with other similar smart lighting implementation elsewhere are also summarized.

Recently, remote control technology attracted wide attentions and began to be used in lighting applications with computer and internet, power electronics, automatic control technologies together. Most conventional remote controlled lighting systems realized basic lighting functions, i.e. turning on/off and dimming. However, modern remote controlled lighting system needs to have multi-functions including line switching control, line anti-theft, illuminance detection, metering electrical parameters, ballast’s fault-condition detection, data analysis and statistics, abnormal-conditions alert and diagnosis. These functions will make the system more intelligent and practical. This paper proposes such a system comprising intelligent ballast, line switcher, meter, illuminance detector, server, website, etc. The system integration method is illustrated by analyzing the system’s working principle and functions. An experimental system is set up as a demonstration and the test results verify the proposal.

In order to intelligentize the LED lighting systems,this system adopts the Freescale series MC9S08AC16 as the controller, senses the light environment induced by the photoresistor and uses the SS-101 pyroelectric infrared sensors to sense the presence of people. In addition, it uses LM3404 chip to drive LED headlamp unit and by changing the duty cycle of PWM to achieve the switches and automatic adjustment of brightness of LED lights. Experiments show that the light source brightness provided by this system is stable and reliable and the combination of infrared sensing technology and PWM technology achieves the intelligence of LED lights. Moreover, it has high application value.

This paper is to introduce a lighting source controller using high brightness LED to create a clear and reliable condition for an accurate measurement and testing, which is a core technology in clinical image system and mechanical automation system. This controller is designed to supply a stable power in a constant-current system by installing a high brightness LED driver, and to improve the reproducibility of brightness by using 32-bit ARM processor core, dividing brightness quantity into 256 levels, making the remote control and the external interface possible, and preventing and digitizing the brightness inaccuracy caused by errors of resistance values. This controller enables the lighting range to be wide and possible in a low lighting level compared to analog, adds the RS-485 communication function, and makes it for the users to control the on-off function and the dimming level by receiving date from an external device. Key Words : hbled, lighting, lighting source controller, machine vision, vision system

A smart lighting system provides automatic control of lighting illumination and color temperature for high quality of life as well as energy savings in smart cities. A real-time activity understanding system with accurate human location estimation under varying illumination is required for smart lighting control, since comfortable lighting conditions vary according to human activities. This paper presents a real-time smart lighting control system using human location estimation based on inverse-perspective mapping of depth map images and activity estimation from location, heading direction, and height estimation of the moving person from multiple depth cameras. Lighting control based on estimated proximity to the specific activity area, distance to the target lighting area, and heading direction of the person provides an automatic activity-dependent lighting environment as well as energy savings. We implemented several activity modes such as study mode, dialog mode, and watching TV mode, and applied the proposed lighting control system to a living room lighting control with known furniture, electronics, and lighting locations using multiple Kinect depth cameras. The proposed model is based on localized proximity-based lighting control and can be extended to a more general lighting control by combining with global lighting control schemes.

Because of the long mileage of expressway, considering the expensive operating cost, the lighting system is seldom installed in expressway; however, this will raise the traffic accident rate. To solve this problem, the paper introduces an energy-saving intelligent lighting system which can be used in the expressway, and the system can improve and enhance the drivers driving visibility at night or in the bad weather.

Today, energy efficiency is one of the top priorities in building design and construction. A significant share of energy usage is due to indoor lighting. Although methods exist for design and control of intelligent lighting systems, the task of real-world lighting assessment and verification remains only partly addressed. This paper describes foundations for design of a robot to conduct regular and automated audits of lighting quality in office buildings, with emphasis on the modeling of its behavior. The proposed model uses the Concurrent Communicating Lists (CCL) notation, which allows it to be easily simulated, executed, and formally verified. The CCL behavior model is discussed in the context of Knowledge-Behavior-Platform (KBP) robotic architecture proposed as a practical model runtime environment.

The emergence of interconnected networks which include an intelligent lighting infrastructure is creating urban spaces possessing ambient intelligence in the form of smart sensors, embedded microprocessors, and cybernetic feedback systems. In his paper, Architectural Relevance of Cybernetics (1969), Gordon Pask envisioned an adaptive cybernetic system wherein the architecture becomes an electronic interface. Pask's approach has powerful implications for the universal design of “smart” urban infrastructures. New intelligent infrastructure systems are described within the context of interconnected cybernetic networks to consider the universal design of more equitable, sustainable, and secure urban space.

Low carbon green living environment in our life play a very important role. With the rapid development of Internet technology and the increasingly mature, the traditional lighting system is developing rapidly towards intelligent lighting control based on Internet of things, especially in public places, the electricity control, such as libraries, museums, etc. In this paper, based on the Internet of things technology combined with humanized design a set of intelligent management library intelligent lighting energy saving control system. The wireless sensor network to collect environmental information is combined with artificial management information, the main control system can carry on the dynamic control of library's energy consumption, and realize the system energy saving purpose. After experimental verification, the energy-saving control system designed in this paper can according to the changes in the environment of intelligent stability control in the reading room lights brightness. The structure is simple and has achieved the purpose of energy saving.

Smart lighting is an illumination technology designed for energy efficiency. This may include high efficiency features and automated controls that make adjustments in light intensity based on conditions such as availability of daylight or occupancy. Lighting is an application of light to realize both appeal and visual comfort. Nowadays, modern systems are able to reproduce intensities and pivot on smart sensors and actuators incorporating information and communication technologies. This research work aims at developing a smart lighting system that combines heterogeneous lighting technologies enabling intelligent functions. The light intensities can be shifted according to the visual comfort or control according to the occupant's activity based needs. This is achieved by design, development and testing of smart lighting system through ZigBee according to the availability of natural daylight, occupancy and required lighting level by the occupants.

The number of households and offices adopting automation system is on the rise. Although devices and actuators can be controlled through wireless transmission, they are mostly static with preset schedules, or at different times it requires human intervention. This paper presents a smart ambience system that analyzes the user’s lighting habits, taking into account different environmental context variables and user needs in order to automatically learn about the user’s preferences and automate the room ambience dynamically. Context information is obtained from Yahoo Weather and environmental data pertaining to the room is collected via Cubesensors to study the user’s lighting habits. We employs a learning model known as the Reduced Error Prune Tree (REPTree) to analyze the users’ preferences, and subsequently predicts the preferred lighting condition to be actuated in real time through Philips Hue. The system is able to ensure the user’s comfort at all time by performing a closed feedback control loop which checks and maintains a suitable lighting ambience at optimal level.

A customized intelligent lighting control combined with an indoor environment monitoring system is presented as a novel system architecture for the help of elderly, especially for people with dementia. Bluish light, which affects human circadian rhythm, is the key element of this study aiming to find ways to enhance patient wellbeing and reduce nursing workload. Moreover, thermal comfort of occupants is monitored and discussed.

Home automation devices are becoming increasingly popular in the field of consumer electronics. Various appliances like thermostats, smoke detectors, intelligent lighting systems, etc., have appeared on the market to create a smart home. Vendors have the availability over multiple wireless technologies to connect their products to the smart home and communicate with the user. The most adopted technologies are the ones that can interface directly with a mobile device such as a smartphone or tablet, without the need for an additional gateway. Within this context, Wi-Fi and Bluetooth are the dominant technologies. In this paper we look at home automation devices that have chosen to solely support Bluetooth 4.0 as communication interface. We highlight the downsides of this technology in a home setting and try to mitigate this problem by exploiting the Wi-Fi capabilities of other devices, in particular smartphones. The proposed solution realizes a Wi-Fi bridge on the smartphone that is connected to the Bluetooth device. This enables other smartphone users to connect to the Bluetooth device over the Wi-Fi network, alleviating some of the downsides of the Bluetooth technology.

Solid state lighting provides an excellent vehicle for enhancing the retail experience, educational efficacy, corporate branding and to help set just the right mood. Lighting plays a critical role in attracting customers, driving their buying experience and increasing the chances they will return again. Lighting sets the mood. Boeing recently implemented a mellow blue tone in the interior of their airplanes with great success. Color sensing is required for color accuracy, which is made possible with PoE/LoE digital control, covering the RGB color spectrum of visible light. This paper explores a few examples to illustrate the value proposition in a retail stores, restaurants, transportation, in addition to the colors used in corporate branding. In a retail setting, lighting contributes to the identity of the business, the comfort of the customers, and the mood of employees. Intelligent lighting can also be used in tandem with security cameras and emergency lighting for increased safety and theft prevention. A store can transform the retail shopping experience for their customers with controlled solid state lighting. Color is deeply integrated with our perceptions, psychology, decision making, mood, alertness, state of relaxation and enjoyment of our daily experience. Solid state color mixing, coupled with color sensing, provide a flexible method to enhance retail spaces in a way that add profit and style in commercial applications.

Optimizing building intelligent lighting systems is of great significance for energy conservation. Especially now that there are more and more office buildings, energy management research can effectively reduce the loss of energy. This paper introduces the necessity of optimizing the intelligent lighting technology of office buildings. The BP neural network is used to analyze the intelligent lighting energy loss of office buildings, and the proposed measures are proposed.

This paper presents an intelligent lighting control system based on a wireless sensor network applied to modern intelligent buildings. The appropriate intelligent lighting control plays a significant role in an energy-efficient and comfortable building environment. The novel concept of an illuminance matrix (I-matrix) is proposed and modeled as a precise expression of illuminance. This representation is more suitable for digital signal processing and high-precision lighting control. The I-matrix of a target working plane is obtained from several distributed photosensors using an RBF (Radial Basis Function) neural network. An optimization model is then constructed with a genetic algorithm to improve accuracy and reduce the number of sensors. Calculation results from a typical scene reveal that the proposed method is approximately 30–60% more accurate than conventional control practices. The application of the I-matrix is particularly essential for some places requiring a high quality of illuminance, such as an operation room, a cockpit, etc. As a criterion of illuminance quality, the I-matrix is a potential standard for high-quality lighting design, and opens new areas of research in lighting and human factors.

Conventional street lighting systems in most of the areas are Online at regular intervals of time irrespective of the seasonal variations. The street lights are simply switched on at afternoon and turned off in the morning. The consequence is that a large amount of Power is wasted meaninglessly. As energy consumption is an issue of increasing interest, possible energy savings in public street lighting systems are recently discussed from different viewpoints. The purpose of this work is to describe the Smart Street Lighting system, an approach to accomplish the demand for flexible public lighting systems using a Programmable Logic controller (PLC). The main difference from other computers is that PLCs are armoured for severe conditions such as dust, moisture, heat, cold etc., and have the facility for extensive input/output (I/O) arrangements. In the proposed paper, street lights are controlled using millennium 3 PLC taking the seasonal variations into consideration.

The capabilities of open-source software and microcontrollers were used to construct a device for controlled lighting experiments. The device was designed to ascertain whether individuals with certain color vision deficiencies were able to discriminate between the red and white lights in fielded systems on the basis of luminous intensity. The device provided the ability to control the timing and duration of light-emitting diode (LED) and incandescent light stimulus presentations, to present the experimental sequence and verbal instructions automatically, to adjust LED and incandescent luminous intensity, and to display LED and incandescent lights with various spectral emissions. The lighting device could easily be adapted for experiments involving flashing or timed presentations of colored lights, or the components could be expanded to study areas such as threshold light perception and visual alerting systems.

The traditional lighting control system has the problem that short communication distance, slow transmission speed and high error rat. This paper presents and designs an intelligent lighting control system based on CAN bus. Describing the design framework of intelligent lighting system, it focuses on the realization of CAN communication module of SJA1000. The intelligent lighting control system based on CAN bus is a distributed intelligent control system. Compared with the traditional lighting control system, it overcomes the effect of relatively scattered control and disadvantages of poor management, poor real-time and low degree of automation.

This paper researches the intelligent lighting plan for typical applications based on the environmental conditions and introduces an intelligent lighting control system applying to the highway. The system has various functions, such as ambient light sensor, adaptive control and remote control, and supports the feedback regulation of fixed illumination, operating lights after car light tests and other work modes. The system adopts visual response smoothing techniques to eliminate the visual discomfort brought by the sudden brightness changes, which improves the drivers visibility at night or under adverse weather.

This paper describes a low-cost DALI system, which can be used to intelligently drive the LED array based on DALI , and can be used in the family field, thus eliminating the high cost of DALI control devices which stop the intelligent lighting system entering household. This article discusses the DALI system master and slave on the hardware & software structure. The innovation lies on communication via GPIO, besides, originally come up with new idea that users can communicate by distinguishing the value in the timer count register between two falling edge if the message is encoded as Manchster . Finally, experiment verified the feasibility of the program.

Research of college classroom intelligent Lighting control system is based on the point of view of intelligence and energy saving. Considering the phenomenon of lighting waste and poor system management, a design of high stability and low power consumption intelligent Light control system is proposed. Through the research of distribution method of light source and the application of CAN bus communications technologies, this paper mainly introduces a distributed light control system based on ARM. According to the demand of indoor illumination, the system can achieve real-time and accurate regulation of all classrooms lights. Compared with the traditional lighting control system, besides the characteristic of energy saving, the system also is characterized by strong anti-interference and intelligent management etc.

For the problems that the street running state and information was difficult to feedback and reasonable control, we apply the topology model to the street lighting management system, and complete the optimization control in this paper. Using the fuzzy control theory to handle the road signals, the intelligent lighting region controller integrates the thyristor chopper with the autotransformer technology, carries out the soft start and slow slope control to the street light, and realizes automatic voltage and energy saving. At finally, the system can realize the energy-saving control and intelligent, networked management of city street lamp.

Due to existing indoor intelligent lighting system lack of the movement path predictionand the boundary of the space detection,thispaperpresents an idea to predict the location and distinguish the boundary of the space based on the historical data of someone's motion path; Indoor positioningisappliedtointelligent lighting system, according to the existing indoor localization algorithm, combined with the historical data of motion path, design an suitable algorithm for indoor intelligent lighting system, which can predict location and distinguish the boundary of the space.

At present, there are some problems in teaching building monitoring, such as the hidden danger and waste of electricity. In view of these problems, I design an intelligent lighting and monitoring system based on virtual instrument technology. This system consists of light intensity, human body, infrared and mobile sensors. They compose the the Internet of things in this system. By using these sensors and the fuzzy intelligent dimming, the system has a very intelligent and clever lighting. Human body sensors and infrared sensors can help the system monitor the important classrooms and computer rooms. Based on LabVIEW, the system has a excellent interactive operation interface and powerful data acquisition and network functions. With the functions and communication medium such as the Internet and ZigBee, the system can achieve monitoring the real-time illumination and the number of people in monitoring area. This system can also be operated by the remote client computers which equip LabVIEW. It is convenient to extend this system to the remote monitoring system.

For the disadvantage of traditional lighting system such as low energy utilization and poor dimming performance, a new intelligent system for LED lighting based on PWM is proposed. The basic principle of the system is discussed and the solutions of the hardware and software are designed. Using the PWM dimming technology, the data from the infrared detector and photo resistor is processed in the MCU to generate PWM signals, which control the switch and regalute the brightness of the LED according to the ambient light. Because the opening and closing of LED takes a form of gradual change, human eye is not fell the dramatic changes of brightness which can contribute to protecting human vision. The results show that this embedded system has a simple structure, small volume, and good real time ability. This system will meet the demand of energy saving, which will be widely applied in many fields such as mine, corridor and underground parking.

As one of the most important subsystem of automotive control systems, the design of automotive lighting control system is essential. In this article, the automotive intelligent headlight control system based on CAN bus was introduced, and the system hardware structure and software design processes was given. Adopted MC9S08DZ60 microcontroller which integrated the CAN controller as the master chip. While taking advantage of the photoelectric sensor to analyze road lighting conditions, according to light changes in the external environment to achieve automatic dimmer. The circuit has characteristics of simple hardware design, high reliability and real-time. And provided a theoretical basis for the Hyundai Motor intelligent control system.

The application of intelligent lighting control system, as an advanced technology in stadium lighting project will become a trend in the future. This paper provides a detailed analysis of the characteristics and advantages of stadium intelligent lighting system and puts an emphasis on the glare,a must-be-solved problem, in the design of stadiums. An in-depth exploration about the glare is developed from the physical factors to the mechanism reaction of human vision. In terms of glare inhibition, a series of countermeasures are listed covering the design of lighting, selection and installation of lamps.

Intelligent lighting technology is a positive meaning to energy saving. At the present design, control modes, design principle and implementation method on the intelligent lighting system were introduced from two aspects of both hardware and software. Based on single chip microcomputer of AT89C51, light sensitive transistor and human body heat releasing infrared sensor were used to collect signals of both light intensity and human body so as to open and close lamps or regulating the room brightness. The software of PROTEL-99-SE was adopted to design circuits of SCM minimum system, circuits of collecting human body and light sensitive signals, LCD display circuit. Moreover, the assembly language is used to write the control program, which is input into the software of Proteus to simulate functions of the intelligent lighting system. Results show that the intelligent lighting system effectively work, and hardware circuits is reasonable.

In order to meet the requirements of high stability, high vibration resistance, energy saving and environmental protection and long service life for the railway vehicle car lighting system, this paper designed a LED (Light Emitting Diode) lighting control system suitable for railway vehicles car. Using IPC for the principal computer, microcontroller for the subordinate computer, CAN bus as the communication network. Multiple brightness sensor collect the brightness information of car environment. According to the characteristics that the LED is suitable for high frequency switch power, using PWM technology, the current though the LED light can be control. ATmega16 microcontroller as the control core can automatically to adjust the brightness of the car according to the change of external environment, it ensured that the LED light emitting uniform and stable so that this kind of control system has very high application value.

Traditional lighting control gradually replaced by the intelligent lighting control. Based on Neuron chip tuning optical touch screen is based on the experimental platform to design and develop. This paper introduces how to apply Lon-works technology to develop the project's main technical process and the design method of software and hardware,including the necessary interface circuit and control program. It has been run and debug experiment, be good for lighting control and realized remote control.

This paper introduces the technological status and development trends of LED intelligent lighting remote control system. Firstly, we put forward four requirements of LED lighting remote control technology. Then, two modes of LED lighting remote control system are discussedwired control and wireless control, which are generally used. We also discuss the advantages and disadvantages of these technologies such as the power line communication technology, RS-485 technology, ZigBee technology, GPRS technology. Finally, we introduce the two development trends of LED lighting remote control system in the future.

At present, most of the stage lighting console designs are based on MCU(Micro Control Unit), but its technique advances, information storage and real-time performances are deficient. This paper proposed that using the technique of ARM-Linux can realize the function of lighting console. This technique adopted S3C2440 processor as the main control chip of the hardware. The transmission of dimming data followed the DMX512 agreements. The low-level driver programs were developed under linux2.6.12, it provided interfaces for upper layer application. Testing results show that this system has perfect dimming performance and scalability, which is easy to upgrade. Our design has important theoretical significance and practical value for stage lighting control.

In this paper, we proposed a smart lighting management system controls the lighting efficiently to reduce energy consumption while satisfying user`s lighting requirements. The proposed system considers the available daylight intensity and indoor light source to satisfy the lighting requirements of each user according to the work environment. In addition, for user convenience, we have developed different user interfaces for lighting control including local interface, and remote interface through internet or Bluetooth for personal computer as well as smart phones. The proposed system satisfies the lighting requirements of each user according to the corresponding work environment. The proposed smart lighting management system utilizes the lighting energy efficiently, and can be considered a significant contribution towards future green buildings.

The lighting system is an integral part of the whole building. Lighting control system is an important part of the lighting system and lighting design. As increasingly severe of the energy issues, energy saving has become one of the problems to be solved in the lighting control system. This paper takes a normally used office as an example. Control the blinds and the lamps in the office reasonably. On the premise of the full use of daylight, make the office achieve the most comfortable illumination by using artificial lighting supplies.

The intelligent lighting controller based on the SCM uses the pyroelectric infrared sensor and sensitive optical sensor to collect the signals, which are sent to the SCM after changed into the digital signals by the A/D converter, and then the SCM controls the lamps on or off according to the signals collected by the pyroelectric infrared sensor and changes the duty cycle of PWM wave according to the signals collected by the sensitive optical sensor to adjust the lighting power of the lamps till the difference of the indoor lighting intensity and the setting point is less than some certain value achieving the constant light intensity intelligent illumination. Actually, compared with other lighting controllers, this controller can not only be able to avoid the waste of resource, but also effectively extend the life of the lamps.

Santana 2000 car is the study of the automotive lighting test rig. In the development process, all parts are arranged in accordance with the original car position, and the original car lighting harness was wiring, and fault box of the simulation of the actual fault was set. Developed automotive lighting test rig can really provide lighting and signal system control principle and process. The whole system or local circuit wiring training and line detection training can be done. Actual troubleshooting ability can be trained by the whole system or local circuit. It is multi-function, much cheaper and has better effect. And it provides real platform for improving the operating ability of the lighting and signal system.

As the fluorescent lighting of colleges and universities is extensively used, the necessity of the energy-saving lighting is described and the working principle of fluorescent light is analyzed in this paper. Traditional magnetic ballasts are replaced with electronic ballasts, and radar detection module, light sensor and SCM are used to design intelligent lighting control system, fluorescent lights of different time and environments are precisely set and rationally managed, so as to achieve energy-saving purpose based on the guarantee of colleges and universities' lighting quality.

Generally, in machine learning applications, the problem of missing data has significant effect on the prediction performance. For a given missing data problem, it is not straightforward to select a treatment approach in combination with a classification model due to several factors such as the pattern of data and nature of missing data. The selection becomes more difficult for applications such as intelligent lighting, where there is high degree of randomness in the pattern of data. In this paper, we study pairs of probabilistic missing data treatment methods and classification models to identify the best pair for a dataset gathered from an office environment for intelligent lighting.We evaluate the performance in simulations using a new metric called Relevance Score. Experimental results show that the CPOF (Conditional Probability based only on the Outcome and other Features) method in combination with the DecisionTable (DT) classifier is the most suitable pair for implementation. Keywords: intelligent lighting; missing data; machine learning; classification models; relevance metric

In this paper, an intelligent garbage can model-based differential evolution algorithm (IGCMDE) is proposed to simulate human social organization by its population system, based on the differential evolution algorithms (DEs) and the logical framework of the garbage can decision model with group meeting. When faced with issues such as unclear goals and technologies, participators turnover, etc., representatives of all participating parties will communicate, argue, compromise and adapt with each other, in order to find a solution to the problems. Group meetings are conducted to choose the best solution in a more objective, reasonable and efficient way. At last, we used IGCMDE to optimize the fuzzy controller with fuzzy logic control theory. We present a method for daylight blending control with two novel contributions: 1) smart luminance sensing; 2) daylight luminance control. The proposed method was implemented as an intelligent lighting system in a parking tower environment. The result demonstrated that IGCMDE possesses an excellent search performance and the intelligent lighting system showed significant energy savings.

Wireless sensor and actuator network (WSAN) is a new generation of wireless sensor network (WSN) and has been widely used in various applications. WSANs are not only able to monitor physical environment, but also to change the environment by appropriate action. This paper presents a typical WSAN application: a collaborative control system for intelligent lighting based on an illuminance distribution model. The system focuses on meeting human illuminance and human uniformity requirements simultaneously as far as possible. To reach the goal, a collaborative control method including collaborative sensing and collaborative actuation is used. In the process of calculating the control signals, a simple yet efficient gradient descent algorithm is applied. Simulation is implemented to verify the effectiveness of our design.

In this paper, we proposed a RTOS-based lighting control system to improve energy efficiency. This proposed system, real time process was designed to the specified division of the LED streetlight control module for the RTOS-based lighting control into three different tasks. The first task transmits LED lighting signal by measuring illuminance, and the second task transmits motion detecting signal using motion detector. In the third task, lighting control to LED was designed through passed control signal from other tasks The execution status was examined ports that are directly to the ATmega128 MCU for the verification of the system, and illuminance distribution and operating conditions were verified through LED street field test. The proposed RTOS-based lighting control system has brought improving system performance and also facilitate an addition of other functions, and it was possible to optimize energy saving by intelligent lighting pattern control.

As we enter era of “intelligence”, an increasing number of smart devices are being equipped around us. Such devices reflect the emerging need in microelectronics industry: increased functionality and miniaturization. As Moore’s law gradually meets its bottleneck, the concept of “More-than-Moore” (MtM) is proposed to address this issue by migrating board level system assembly to package level system integration. System in package (SiP) technology emerges as a promising solution for increasing the level of integration. Together with other novel packaging technologies, such as wafer level packaging (WLP), SiP shows great potential for providing intensely integrated functional system with miniaturized form factor. This thesis aims to develop novel SiP design and implement it into intelligent applications such as solid state lighting (SSL) and particulate matter (PM) sensor.

In existing installations, series-connected light switches or dimmers typically lack a neutral wire connection at the light switch lead-out. Hence, it is a challenging issue to design and power wall-mounted control terminals for smart LED lighting systems, which are not battery operated. Based on the results of [1, 2], this paper addresses the described problem and demonstrates an advanced control device fully compliant with the ‘Digital Load-Side Transmission’ (DLT) standard [3]. In addition to a user interface with a liquid crystal display (LCD), this DLT control device provides two wireless links, namely WiFi and ZigBee, enabling external control from wireless devices. Besides brightness, color and color temperature adjustment, the presented control device also features group control and commissioning of attached luminaires. Standby power is minimized by featuring the so-called ‘power controlled off state’ of the DLT standard. The developed control device unites the advantages of low standby power consumption, compatibility to wiring in existing installations and accessibility with wireless controls. To the best of the authors knowledge, this is the first robustly tested DLT control device with such a high amount of versatility and functionality.

The concurrent lighting system was developed for interactive control the street luminaires located along the chosen road. The individual light spots are switched on and off, depending on the needs arising from the of user presence. After more than a year of operation, presented system was evaluated by economic effects. Real consumption of electrical energy by operating concurrent lighting system was compared with other standard lighting control systems such as steady light all the time and power reduction during deep night, realized on the installation of the same nominal power.

Lighting solution has a high impact on total energy consumption worldwide. Particularly 40% of total energy is consumed by indoor lights. For indoor lighting, traditionally fluorescent lamps and electronic ballasts were used. Manual approach often used for switching the lights and thereby leaving lights to remain ON even if not in use. Fluorescent light doesn't support dimming, so user needs to replace light source with different wattage to achieve different intensities. Also, they are energy inefficient. Electronic ballasts on the other hand supports dimming but are expensive. Thus, existing light system need to upgrade. Proposed system is an intelligent LED lighting control system based on fuzzy logic controller. In auto-mode, lights are switched with human presence and controls light intensity depending on available natural light. In manual mode, light intensity adjusted by using a Bluetooth enabled smartphone application. In addition, various lighting effects were added for users to create scene modes using smartphone. Energy consumption and sensor database are logged on a storage device. Reduction in energy consumption by lights and associated control system is achieved without compromising in user's vision comfort.