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This paper describes a microcontroller-based prototype Automated Weather Monitoring and Logging System that can col- lect meteorological data such as air temperature, relative humidity, atmospheric pressure, light intensity, and rain detection from any distant location. The Weather Monitoring and Logging System is entirely automated, and measured weather data is transferred to a public server while showing immediate data on a liquid crystal display (LCD) and stored to a Secure Digital (SD) card. For private viewers, Android-based smart phones may be interfaced with the weather station and operated via the android application. The weather station is supplied by a direct current (DC) source, with a backup rechargeable battery. In the event of an emergency power outage, the system will immediately switch to battery power. Two Atmega 328p and Two ESP 8266 microcontrollers are utilized as the core of the control and coordination of the relative multitude of exercises of the singular modules. All of the sensors in the systems have been calibrated, ensuring that the system’s accuracy seems to be exceptional. This system will benefit all users, and it will benefit the meteorological industry because it will allow them to work from a remote location. Keywords: Automated Weather Station; Microcontroller; Sensor; Meteorological Instrument

This research attempts to develop a systematic method to address climate changes by studying temperature-humidity patterns as the two major meteorological parameters and to moderate these effects using a commercially available window film on interior windows of an office building with double-glazing. A three-floor educational building at Australian College of Kuwait (ACK) was equipped with temperature, humidity and illuminance sensors for two similar size offices, one with 3 M Neutral 20 window films. Total readings of 50,000 entries from each sensor was recorded every 3 min by a home-designed microprocessor-based logging system for three months of June, July, and August 2019. In parallel, the ACK building was simulated in EnergyPlus and DesignBuilder software and calibrated with the experimental measurements. Histograms and a probability density function (PDF) of temperature and humidity are built by a representative rational function as a model of main climate parameters variations. By examining min-mean-max values of data, it is observed that the office with window films has increased indoor humidity and, in most instances, reduced temperature by 2–5 °C compared to double-glazed bare windows which can significantly reduce cooling loads in extreme hot-arid climates. Simulation results are presented on the energy saved and the reduced CO2 footprints by applying the solar window films in the ACK building.

Learning experiences which take place at virtual environments became one of the most important sources of the learning. Enabling individuals to take screenshots continuously at regular intervals and access these screenshots via an efficient method, make these individuals to retrieve their previous experiences on virtual environments, recollect and evaluate them. In this study a tool, which capturing learning experiences at virtual environments and enables us to search them by using full text keywords, has been used and evaluated by fourteen different users as a case study. When findings of the study are evaluated, it is seen that saving their life experiences via a life logging system that takes screenshots continuously enables users to capture these experiences in detail and re access them with the help of the keywords. Enabling life long learners to access their previous online learning experiences can provide them opportunities for retrieving details of these experiences, interpreting them, creating a personal knowledge base, learning from these experiences, planning these experiences, monitoring them and evaluating them.

The current information needs in the business world to be very important in determining the progress of a company. A good activity on a single company or technology is also determined by the available information. PT Lestari Eastern Nuances is a company engaged in the restaurant. The logging system supplies the raw materials of food are running currently still using Microsoft Excel to record incoming and outgoingraw food. The current running system still has many flaws and weaknesses as it takes quite a long time to figure out the amount of supplies of goods raw materials because an admin shed have to calculate the physical stock quantities directly, the occurrence of the difference in the number of requests the raw material with raw material expenses due to miscalculations by admin warehouse, takes a long time to make a request and expense report raw materials causing the company's performance be hampered, the absence of a reminder to remind Admins about the number of warehouse stock of raw materials so that when the raw materials needed by the chef stock no. Based on existing problems then needed a system to help the admin staff stock in managing demand and pengerluaran raw material so that it doesn't happen the difference in stocks of raw materials. The system will be created using the PHP programming language and the Mysql database, the method of analysis PIECES and using a systems development method in System Development Life Cycle (SDLC).

Natural-production conditions determine operational efficiency of logging machines. This influence needs to be taken into account at different levels of forest management. It is necessary to allocate areas with similar natural-production conditions for effective forest management. It allows simplifying the decision making process for selecting logging technology and machines. The purpose of this study was to establish areas with similar natural and production conditions in the European North of Russia (ENR). In addition, for small enterprises, we recommend logging technologies and logging machines that can be used in established areas. We determined the indicators of the natural-production conditions of ENR regions and compared them. Cluster analysis was used to compare the indicators. We found that ENR can be divided into three main zones A, B, C and two subzones B1 and B2 with similar natural-production conditions. In the zones A, B and the subzones B1 and B2, small logging enterprises should use a harvester and a forwarder. In the zone C, the enterprises can use a logging system including a harvester and a forwarder or a logging system including a feller buncher, a skidder and a processor. The logging system should be based on the light class of logging machines for the zone A, the medium class or the heavy class for the zones B, C and the subzones B1, B2, the heavy class of machines for the zone C.

A large portion of planted forests in Japan have recently reached maturity. These trees have grown larger than previous stands, and are more difficult to log using current techniques. This ...

Unbalanced diet is a major risk for chronic diseases such as cardiovascular, metabolic, kidney, cancer, and neurodegenerative diseases. Current methods to capture dietary intakes may include food-frequency questionnaires, 7-day food records and 24 h recall. These methods are expensive to conduct, cumbersome for participants, and prone to reporting errors. This chapter discusses the development of a Personal Nutrition Intake and Emotions logging system. The following will be discussed: establishing requirements and designing a simple interactive system, implementing a simple interactive system, performing data analysis, and evaluation of the simple interactive system.

Collaborative virtual agents are often deployed to help users make decisions in real-time. For this collaboration to work, users must adequately trust the agents that they are interacting with. In my research, I use a game where human-agent interactions are recorded via a logging system and survey instruments in order to explore this trust relationship. I then study the impact that different agents have on reliance, performance, cognitive load and trust. I seek to understand which aspects of an agent influence the development of trust the most. With this research, I hope to pave the way for trust-aware agents, capable of adapting their behaviours to users in real-time.

We introduce the novel technical results of the enhanced logging system for customer virtual machines (VMs) in an Infrastructure as a Service (IaaS) cloud. The main contribution is that the enhanced system can work with a better system's accuracy and speed, with the simplicity of the design and implementation. We measure the accuracy of the unenhanced logging system, then find a quick solution to enhance the system based on the results of the measurement. To measure and enhance the unenhanced system, we increase the main memory and CPU cores of the VMs then collect the accuracy results from each increment configuration. We analyze the results and propose to use the taskset tool to enhance the accuracy of the system. Found three main findings include: firstly, the accuracy of the enhanced system is about 20% on maximum better than the unenhanced one; the enhanced system accuracy becomes 100%; lastly, the enhanced system can detect a file with the smaller file size as almost 12% smaller. The findings can be a basis to design the logging systems in an IaaS cloud, to decrease hardware and energy investment. To the best of our knowledge, the contribution and findings are not in the literature.

A transactional system consists of a concurrency control system and a recovery system. TicToc is one of the state of the art concurrency control protocols today, but it lacks recovery system. We studied the ways to integrate TicToc and recovery system. For efficiency, we adopted a parallel write ahead logging scheme for the recovery system. There are two methods to optimize the logging. First method is early lock release which executes lock release early on data objects. Second method is group commit which executes batched logs transfer to storage from memory. We integrated a transactional system consisted by TicToc and P-WAL logging system assuming non-volatile memory. We found that the two optimization methods incur performance degradation when storage access latency is equivalent to that of NVRAM.

Accountability in conjunction with preventative countermeasures is necessary to satisfy the needs of real-world computer security. A common method to achieve accountability is via logging and auditing. To achieve better accountability, a logging system should be capable of capturing activities as well as the relationships among the activities in a computer system or network. Existing logging techniques record activity events in isolation and rely on attributes and time stamps of the logged events to establish their relationships, and this approach leads to probable loss of event relationships among large and complex logs and a confusion during auditing. Prior works have indicated that flow-net is effective in addressing this problem by organizing events in a direct acyclic graph and preserving event relationships during logging. In this work, we provide a prototypical design and implementation of a flow-net accountable logging framework in the Linux operating system. Particularly, it can be applied to Internet of Things (IoTs) with Android Operating Systems. We measure the performance overhead introduced by the flow-net logging prototype via experiments in Linux. The results indicate that the flow-net prototype only introduces a small overhead when compared with existing logging methods. In addition, we show by examples enforcement of accountability policies in the flow-net logging framework and its performance overhead. This work thus constitutes a further step to advance flow-net in addressing accountability in computer systems and networks.

We conducted the preliminary time studies of clear-cutting operations using a small-scale cable logging system in 62- and 107-year-old, gently and moderately sloping Japanese cypress forests. The cycle times, productivities, and costs were compared to examine the effects of extending the cutting age. The operation system included the use of a chainsaw for felling, a tower yarder for yarding, a grapple loader for bunching and piling, and a processor. For some 107-year-old trees, a chainsaw was also used for delimbing operations because of the larger branches. The productivities of felling and processing operations did not decline beyond a certain stem volume even with chainsaw felling and the use of a small-sized processor (6.7 t). The average cycle time of yarding operations in the 107-year-old forest was longer, but the productivity was higher compared to the 62-year-old forest, owing to larger volumes. Although geography and stand conditions differed, productivity and costs of the operation systems were similar even with larger volumes and using small-sized machines. The costs of the operation systems were JPY 2088/m3 and JPY 2307/m3 in the 107- and 62-year-old forests, respectively. The costs were slightly higher than those with larger ground based machines. A small-scale cable logging system, on a relatively gentle slope with larger volumes is an option for low-cost, clear-cutting operations in small-scale forestry.

Well control situation in high angle wells put challenging environment for the acquisition and interpretation of formation evaluation data on wireline. This case study puts a highlight on a new technology, which allows mitigating the well deviation and trajectory-related complications in addition to wellbore stability to acquire accurate wireline quality data, resulting in an improved completion design and an increase in production. The discussed well was drilled and completed as a horizontal open hole producer in 1994. It showed unstable production and was put on schedule for re-completion to increase production. The planned fishbone well completion design implied high-resolution caliper data acquisition to ascertain the borehole geometry in detail. Moreover, a time-lapse water saturation analysis was mandatory. On the other hand, a considerable operational risk was associated with conventional wireline tools deployment, pushing the toolstring downhole. However, this risk was minimized using the new compact well shuttle system (CWS) which has all the logging sensors housed inside the drill pipe before they can exit it to the open hole at the start of the operations. This conveyance method gave the drillers full well control, having the ability to rotate the pipe and even circulate mud in this 95-degree inclined, unstable well. Using open-end bit allowed reaming during RIH and POOH. Also, memory data acquisition allowed getting the required well log data in one run. Consequently, the well objectives were achieved, and operational risks were minimized. Also, the total well cost was optimized without sacrificing data quality, which supported formation evaluation of Mauddud reservoir drain. Finally, this led to an efficient completion and production decision-making. The advanced conveyance method discussed in this case study has been deployed in a Horizontal well within Mauddud reservoir (onshore Kuwait) for the first time, reduces the risk and cost of accessing high angle wells and wells with well control situation.

Cloud computing has been in increasing concentration these years. Nevertheless, recently, it suffers the ambiguity in discerning responsibilities for unexpected incapable services. At this time, people refer to the logs. However, since logs may judge the fault, they are susceptible to malicious modification. Thus, their integrity is vital. Existing solutions leverage blockchain technology to tackle this problem, but few of them take the pseudo-anonymous nature of blockchain into considerations. This risks users’ privacy when they anchor their logs onto the blockchain. Some solutions try to be anonymous, but they are not general enough to be practical. In this paper, we propose a blockchain-based anonymous logging system for cloud environment. Our system introduces zero-knowledge proof to realize anonymous authentication, which can ensure undeniability in auditing while doing no harm to anonymity. Through experimental evaluation, we evaluate the feasibility and anonymity of the proposed system.

In this work we investigate the problem of detecting data exfiltration over HTTP and we propose different technical solutions to tackle it. We introduce a new anomaly-based detection approach for data exfiltration called passive application fingerprinting, which relies on fine-grained detection models to better identify anomalous connections. We show that our proposed system outperforms the current state-of-the-art solutions in terms of detection performance. Furthermore, we investigate the problem of victim-aware data exfiltration over HTTP, where an attackers mimic the victim's traffic to camouflage her presence. We show that none of existing detection solutions can accurately detect malicious communication while triggering few false alerts. The reason is that mimicked communication helps malicious traffic to not deviate from normal traffic, thereby breaking a fundamental assumption in detection systems. Consequently, we present honey traffic, a deception-based detection system to identify mimicked communication, without relying on the same assumptions as existing approaches. The main idea is to generate fake network messages that an attacker may mimic while observing the victim communication. If an attacker mimics fake messages, then a security monitor detects the attacker by identifying inconsistencies between the original and mimicked messages. We also present a technical solution for the impact evaluation of a data breach. Existing logging mechanisms are not reliable for impact evaluation because they can be tampered with by an attacker. The reason behind this is that machines are the sole responsible to generate the content of the log. Once they are compromised, it is not possible to know whether the content is legitimate or not. We present a distributed logging system to determine what has leaked after a data breach by combining threshold cryptography and Byzantine consensus protocols. Compared with related work, our system is more reliable in adversarial environments and more precise in determining what data has leaked.

Background General surgery residents log operative case experience as “first assist” (FA) or “primary surgeon” (PS). This study will evaluate their quantitative and qualitative case log practices. Methods Modified Delphi technique was used to create a questionnaire and distributed online to institutions via the APDS. Descriptive analyses and example operative scenarios for resident case logging habits were ascertained. Results There were 363 residents from university (60%) and non-university (40%) programs; 94% did not know the definition of primary surgeon. Over 50% stated they had been encouraged to log a case as surgeon that they did not feel was warranted. Only 4% felt the current logging system is “very accurate.” Given an operative scenario, residents varied how they chose to log the case. Conclusion General surgery residents do not know the current definition of PS. Case logging should be an objective measure of resident operative exposure, but may actually be more complex than previously recognized.

The Minamata Convention on Mercury was adopted at the Conference of Plenipotentiaries held in Kumamoto Prefecture, and in 2017, the treaty came into effect. Mercury (Hg) is a toxic element of global concern.To reduce the environmental risks from Hg, a simple and rapid detection system for Hg in the environment is needed.We developed a simple and highly sensitive detecting method for the detection of Hg gas using a quartz crystal microbalance (QCM)This detection system is utilizing the direct reaction of Hg and Au electrode of the QCM by the phenomenon of Au-Hg amalgamation.This system consists of small loggers equipped with temperature, humidity, pressure and QCM sensors. It was developed for the personal exposure monitoring.When the amount of gas flow rate is large, the Au-Hg amalgam reaction proceeds better and the frequency shift increases. Using a calibration curve, it is possible to determine the Hg gas concentration.This new detection system allows easy measurement of very low concentrations of Hg.

This paper presents the results of the development of a digital logging system and its implementation into everyday practice, at a well of Moscow State University. Complex data interpretation in relation to problems of hydrogeology is discussed. New developments, such as a video well-logging device and a highfrequency induction probe (HFIL) for plastic-cased wells, are used in the system in addition to the obligatory logging types (GL, RL, SP, CL, and temperature measurement).

Successful open-pit slope design depends on the formulation of a representative geotechnical model. This paper presents the development of an engineering geological rock-mass model as part of a feasibility geotechnical study for the Tampakan copper/gold open-pit mine in the Philippines. This porphyry deposit has been subjected to several cycles of volcanism, chemical alteration and tectonic disturbance resulting in a complex, highly fractured and brecciated rock mass. The model requirements for design were identified early in the project and a unique geotechnical logging system was developed to effectively capture the relevant rock-mass characteristics.

Logging equipment and method have a major influence on harvesting productivity and cost. This study investigated the productivity and operational costs of tree-length cable yarding system using HAM300, a domestically developed tower yarder. We tested HAM300 for thinning operation in Pinus densiflora stands at Gangreung, Gangwon-do on April, 2014. To assess the productivity we conducted time study for each stage of the operation. When the average time/cycle was examined for each stage of the operation, the longest was for yarding (241 sec), followed by delimbing (237 sec), felling (153 sec), and processing (103 sec). Furthermore, productivity for felling was 8.6 m 3 /hr, followed by delimbing (5.1 m 3 /hr), yarding (3.5 m 3 /hr), and processing (8.1 m 3 /hr). The total cost for the tree-length logging system was 58,446 won/m 3 , of which the majority was incurred by the yarding cost at 46,217 won/m 3 (79.3%), whereas the lowest cost was for felling at 2,359 won/m 3 (4.1%). We suggest that it is necessary to foster specialized operators and provide training in operating the tower yarder thereby implementing efficient harvesting system resulting from low-cost yarding.Key Words: cable logging, harvesting cost, tower yarder, tree-length logging

Background Learning to perform common medical procedures is one of many elements of Pediatric residency training. In our program, we have observed great proficiency of residents’ procedural skills, but an unfortunate deficiency in completion of procedural logs. Incomplete procedure logs make it difficult to ensure each resident is receiving adequate procedural skills training and to certify competency to future employers. At our institution, the biggest barrier to timely completion of procedure logs was a cumbersome, tedious, and time-consuming logging system (New Innovations). Using QI methodology and technology, we aimed to improve the procedure logging process. Aim Statement To increase the number of procedures logged per resident, from 14 per year to 20 per year (1.66 per month), by March 31, 2020. Interventions We used the model for improvement to perform multiple PDSA cycles to create a simpler, quicker, and more efficient process for logging procedures. After analyzing failures in our legacy process, we tested multiple commercially available apps and web-based platforms as potential replacements. Based on our learning, we opted to design and create our own “NYU Peds App”. The app was iteratively tested using small groups of Pediatric residents, allowing us to modify the design and maximize efficiency, prior to implementation across the full program. Following the launch of the app, the program created a new policy, specifying the number of procedures to be completed each year. Results Since its launch, 1192 procedures have been logged using the NYU Peds App. The number of procedures logged per resident per month has increased from 0.9 to 3.2 (see Figure 1). Further, we have improved resident satisfaction. On an anonymous survey, the percent of residents who strongly agree that the logging system is easy to use significantly increased from 3% (New Innovations) to 82% (NYU Peds App). Conclusions and Next Steps We were able to successfully increase the number of procedures logged by our residents. The main driver of the improvement was implementation of a mobile app that is easy, fast, and usable at the time of care.

This paper discusses the failure mode of structure under complex working conditions of oil drilling. The method of selecting the main failure mode of directional probe framework under the condition of vibration is deduced. The calculation of the vibration resistance reliability for the framework of directional probe is simplified. The anti-vibration reliability index of directional probe framework is calculated by an example in this paper. The influence of machining error and additional quality on the vibration resistance reliability of directional probe framework are also analyzed. The results show that the main failure modes of the directional probe framework are different with different additional mass. Therefore, the research results have certain design guidance significance.

В данной работе изучена проблематика систем протоколирования программного обеспечения для встраиваемых систем. Проведено исследование существующих систем. На основе регулярных выражений разработан скрипт, анализирующий исходный код программного обеспечения встраиваемой системы. Этот скрипт генерирует библиотеку формирования пакетов протоколирования и библиотеку для их распаковки. Разработано мобильное приложение для ОС Android, осуществляющее прием и перевод сообщений протоколирования в текстовый формат, а также приложение командной строки, осуществляющее перевод сообщений протоколирования в текстовый формат., In this paper we studied the problems of software logging systems for embedded systems. A study of existing systems. Based on regular expressions, a script is developed that analyzes the source code of the embedded system software. This script generates a library for generating logging packages and a library for unpacking them. A mobile application for Android OS, which receives and translates logging messages into text format, as well as a command-line application, which translates logging messages into text format, has been developed.

A transactional system consists of a concurrency control system and a recovery system. TicToc is one of the state of the art concurrency control protocols today, but it lacks recovery system. We studied the ways to integrate TicToc and recovery system. For efficiency, we adopted a parallel write ahead logging scheme for the recovery system. There are two methods to optimize the logging. First method is early lock release which executes lock release early on data objects. Second method is group commit which executes batched logs transfer to storage from memory. We integrated a transactional system consisted by TicToc and P-WAL logging system assuming non-volatile memory. We found that the two optimization methods incur performance degradation when storage access latency is equivalent to that of NVRAM.

Logging is a fundamental part of the software development and deployment lifecycle but logging support is often provided as an afterthought via limited library APIs or third-party modules. Given the critical nature of logging in modern cloud, mobile, and IoT development workflows, the unique needs of the APIs involved, and the opportunities for optimization using semantic knowledge, we argue logging should be included as a central part of the language and runtime designs. This paper presents a rethinking of the logger for modern cloud-native workflows. Based on a set of design principles for modern logging we build a logging system, that supports near zero-cost for disabled log statements, low cost lazy-copying for enabled log statements, selective persistence of logging output, unified control of logging output across different libraries, and DevOps integration for use with modern cloud-based deployments. To evaluate these concepts we implemented the Log++ logger for Node.js hosted JavaScript applications.

After encountering difficulties in coordinating the compilation of the daily SALT software log between Sutherland and Cape Town, and struggling to identify the configuration of the telescope at a point in time, a new, automated system to record and consolidate the changes made to the telescope on a day-to-day basis has been developed. This has resulted in a reduction of administration overhead, more complete and timeous reporting of changes, and a daily report that is consistently formatted and contains easily searchable metadata.

À ce jour, nombreuses sont les études qui se sont intéressées aux différents systèmes d’enregistrement pour les délinquants sexuels dans le monde. Dans l’ensemble, il en ressort un tableau particulièrement pessimiste quant à l’efficacité de tels outils d’enregistrement et l’importance des impacts de cet enregistrement sur les délinquants qui y sont inscrits. Néanmoins, les systèmes d’enregistrement continuent d’être utilisés et sont réclamés par la population. L’histoire préalable à l’adoption de la Loi sur l’enregistrement de renseignements sur les délinquants sexuels (LERDS) au Canada met en lumière les éléments contextuels qui font de cette politique publique un instrument hautement politisé auquel sont prêtées des visées symboliques. Le présent mémoire cherche à analyser la façon dont ce contexte influence le processus de mise en oeuvre de cette politique publique et les impacts qu’engendre ce processus sur l’utilisation de l’outil par les organisations policières du Québec. Les travaux relatifs à la mise en oeuvre d’une politique publique deviennent ainsi particulièrement intéressants. De plus, en mettant au coeur de ses objectifs les policiers, la LERDS sous-entend que le processus de mise en oeuvre du Registre national des délinquants sexuels (RNDS) s’effectuera à travers eux. Dans ce contexte, l’utilisation de la méthode qualitative a été privilégiée considérant qu’elle place au coeur de son intérêt l’acteur, son vécu et ses particularités. Les constats ressortant de la présente étude permettent de confirmer qu’il s’agit d’une politique ambigüe, en plus de saisir le haut degré de conflit qui l’entoure. En effet, le manque d’uniformité des pratiques ainsi que l’incompréhension du rôle du RNDS et des implications légales et pratiques qui l’entourent tendent à générer une vision erronée de l’outil tant pour les utilisateurs sur le terrain (les policiers) que ceux qui procèdent aux recherches dans la base de données (le CQEDS). Un élément qui semble propre au Québec est sans aucun doute l’absence de considération des patrouilleurs dans l’utilisation de l’outil aux fins d’enquête et de prévention des crimes sexuels. Finalement, la formation des policiers relativement à l’outil ainsi que l’attribution des ressources pour le rendre fonctionnel peuvent contribuer à complexifier l’atteinte des objectifs visés dans la LERDS. De façon générale, les résultats nous dépeignent une image pas totalement noire, mais certainement déficitaire d’un processus qui, même après 12 ans d’implantation, ne semble pas s’être adapté aux besoins des acteurs locaux., Several studies have focused on the different registration systems for sex offenders across the world. Overall, such research presents a pessimistic outlook regarding the effectiveness of such instruments and the impact that registration systems have on the behaviour of these offenders. Regardless of such consistent drawbacks, sex offender registration systems continue to be implemented and used, often as a result of public demand. The history of the adoption of the Canadian Loi sur l’enregistrement de renseignements sur les délinquants sexuels (LERDS) illustrates how the contextual elements that underlie the public politics of this sensitive instrument generate symbolic impacts. The current study examines how this context influenced the implementation process of this registration system, while also having an impact on how this instrument is used by law-enforcement agencies in Quebec. This latter issue is important since the LERDS places police agents at its core, thus following the assumption that the implementation of the Registre national des délinquants sexuels (RNDS) will be conducted through them. To examine such a context, a qualitative method was required so as to access the actors and experiences that are at the heart of this process. The main observations that emerge from this study illustrate the political ambiguity and considerable conflicting views that surrounding this registration system. Indeed, the lack of uniform practices and the incoherent role of the RNDS, as well as the legal and practical implications that surround it, generate a false vision of this instrument for its main users (the police) and for those who turn to such data for specific inquiries (the CQEDS). One feature which is unique in the Quebec context is the lack of consideration that reflects patrol officers’ use of this instrument for investigative or preventive purposes. Finally, the training of police agents in regard to this instrument and the overall attribution of resources that render it operational also contribute to complicated the attainment of the LERDS objectives. In general, this study’s results offer a portrait that is not complete bleak, but that clearly reflect important deficiencies within the process that, after 12 years of implementation, has failed to adapt to the needs of local actors.

Recently, car makers and the governmental agencies make a greater investment in and efforts to develope the application technologies for "Advanced Safety Vehicle" than ever, it is very necessary to verify each of algorithms applied to the core ECUs as existing cars have rapidly evolved into sophisticated assembles of computer devices equiped with tens of ECUs while geared with high-tech IT technologies. Therefore, this study developed a verification logging system for the electronic control algorithm of a lane keeping assistance system camera. The developed system can not only acquire the lane information of a road through the camera, but also analyze such information and adjust a vehicle automatically through controlling the control board.