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Trustee Young and Superintendent Skorkowsky are introduced to an educational puppet, used to perform skits to third grade school children on important issues like bullying, disabilities, and divorce. The Kids on the Block, is one of many programs and services that are being implemented to support and enrich the lives of children in need. Last Year over 6500 third grade children at 49 schools, were introduced to The Kids on the Block Program.
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The 5-6 December Victim Assistance Experts’ Programme was dedicated in its entirety to training on monitoring and evaluation of national action plans. The two-day training session, sponsored by Switzerland and organized by the ISU, was led by Huib Cornielje of Enablement.
For more information on the VAPP: visit www.apminebanconvention.org/meetings-of-the-states-partie...
For more information about the Convention visit:
If you are a participating delegation, you may use our photos providing courtesy to ©ISU or ©Convention's ISU, otherwise, email us at isu@apminebanconvention.org for authorization.
Assistance League 2011 Annual Conference, San Francisco, CA, September 19-22, 2011, by Rodney Choice/www.choicephotography.com
The White House Initiative on AAPIs partners with the Asian & Pacific Islander American Health Forum to host a Grantwriting and Technical Assistance Workshop in Chicago, Illinois, March 6, 2015. (photo by George Mui)
This is a Cub Scout billy cart derby day.
It is an area event for the lake Macquarie area. This kids (and leaders) all have a ball. there are 5 different events that the kids circulate through
Assistance League 2011 Annual Conference, San Francisco, CA, September 19-22, 2011, by Rodney Choice/www.choicephotography.com
Tragedy Assistance Program for Survivors (TAPS) 30th Annual National Military Survivor Seminar and Good Grief Camp, 2024.
Photo Credit:
Marking the 16th Anniversary of UNSC Resolution 1325 in Baghdad
Baghdad, 26 October 2016 – On the 16th anniversary of United Nations Security Council resolution 1325, at an event held in Baghdad, marking the Global Open Day on 1325, senior leadership of the United Nations Assistance Mission for Iraq (UNAMI) met with women leaders and civil society representatives organizations from across the country to discuss protection concerns affecting women due to the conflict with Daesh and the humanitarian situation, particularly facing women and children fleeing conflict areas due to the battle to liberate Mosul. Participants at the meeting called upon the international community to increase access to economic opportunities by women and advocate more women to be recruited into rule of law and security institutions, amongst other key recommendations.
Resolution 1325 is a watershed resolution that, for the first time, acknowledges women's contribution to international peace and security and requires women's participation in all aspects of peacemaking, peacekeeping and peacebuilding. The resolution calls on the United Nations and member states to undertake a range of actions to increase representation and participation of women in decision-making and in preventing, managing and resolving conflict.
Photos by UNAMI PIO.
07/11/2024 - Today, at the OECD Headquarters in Paris, the Hon Colm Imbert MP, Minister of Finance of Trinidad and Tobago signed the Multilateral Convention on Mutual Administrative Assistance in Tax Matters (the Convention), bringing the total number of jurisdictions that participate in the Convention to 149.
More information: oe.cd/5Ml
L-R:
Hon. Colm Imbert, Member of Parliament and Minister of Finance of the Republic of Trinidad and Tobago
Mr Yoshiki Takeuchi – Deputy Secretary General OECD
With the assistance of the ILO within the framework of the South- South and Triangular Cooperation, a study tour was organized in September 2017 for members of the Palestinian Social Security Corporation (PSSC) to the Jordanian Social Security Corporation (JSSC) in Jordan as part of a strategic plan to develop the necessary knowledge and skills to effectively implement the new Palestinian social security law and its social security schemes.
Machine Learning And Advanced Driver Assistance Systems (ADAS): Revolutionizing Road Safety
August 11, 2023 by dorleco with no comment Autonomous Vehicle Technology
Introduction
Due to the incorporation of cutting-edge technologies, the automotive sector is undergoing a significant transition. Machine Learning (ML) in conjunction with Advanced Driver Assistance Systems (ADAS) is one such technology that is transforming traffic safety and reshaping the future of transportation.
This article examines the mutually beneficial relationship between ML and ADAS, highlighting their contribution to enhancing traffic safety, lowering accident rates, and laying the groundwork for autonomous vehicles.
1. Understanding Machine Learning (ML)
Artificial intelligence (AI) is a subset that allows computers to learn from data and patterns without having to be explicitly programmed. Large datasets can be identified and relevant insights extracted by computers using ML algorithms. These insights can then be used to inform forecasts and decisions.
VCU And Vehicle-to-vehicle (V2V) Communication | Dorleco VCU And Vehicle-to-vehicle (V2V) Communication | Dorleco
ML is used in a number of sectors, such as finance, healthcare, and e-commerce, but its impact on the automotive industry, particularly in ADAS, has been revolutionary.
2. Advanced Driver Assistance Systems (ADAS)
The term “ADAS” refers to a group of sophisticated tools and systems created to support drivers’ judgment and improve overall traffic safety. In order to sense the environment and give the driver real-time input or even operate autonomously in some circumstances, these systems largely make use of sensors, cameras, radars, and other data sources.
ADAS features could include
Adaptive Cruise Control (ACC): this automatically modifies the vehicle’s speed to maintain a safe following distance from the vehicle in front of it.
Lane Departure Warning (LDW): Warns the driver if the car leaves its lane without turning on its turn signal.
Automatic Emergency Braking (AEB): In order to avoid or lessen crashes with other cars or pedestrians, automatic emergency braking (AEB) automatically applies the brakes.
Blind Spot Monitoring (BSM): This system alerts the driver when there are objects in the blind spots of the car.
Parking Assistance: Makes safe parking easier by using cameras and sensors.
3. Machine Learning’s Benefits for ADAS
By empowering the systems to learn from data, adapt to novel situations, and make wise decisions, machine learning plays a crucial role in boosting the capabilities of ADAS. Here is how ML enhances ADAS capabilities:
Object Recognition and Tracking: In order to recognize and track objects in real-time, such as moving vehicles, pedestrians, and obstacles, ML algorithms examine sensor data. Using this data, ADAS systems can decide intelligently whether to brake, steer, and perform other safety procedures.
Anomaly Detection: ML models may identify strange or unexpected driving patterns, such as abrupt lane changes. These anomalies may indicate impending dangers, and ADAS can take appropriate action to prevent accidents.
Predictive Analytics: ML algorithms forecast potential risks and dangers by using past data. ADAS can actively help the driver and reduce accidents by foreseeing potential dangers.
Adaptive Control: ML enables ADAS systems to modify their settings in response to the behavior of the driver, traffic patterns, and environmental variables. This flexibility enables a more individualized driving experience and improves the system’s effectiveness.
Decision Making: ML algorithms allow ADAS to swiftly evaluate complicated data and make decisions based on a variety of variables including traffic density, weather, and road conditions.
VCU And Vehicle-to-vehicle (V2V) Communication | Dorleco
4. Practical Uses for ML-Enabled ADAS
Lane-Keeping Assistance: Using cameras and machine learning algorithms, ADAS may identify lane lines and provide the car with modest steering instructions to keep it centered in its lane.
Traffic Sign Recognition: ML assists ADAS in identifying and interpreting traffic signs, such as speed limits, stop signs and no-entry signs, and alerting the driver when necessary via visual or audio cues.
Autonomous Emergency Braking (AEB): When a driver ignores a warning, ML algorithms assess sensor data to determine potential accident risks and automatically apply the brakes.
Adaptive Headlights: ML-enabled ADAS can modify the angle of the headlights in accordance with the curvature of the road and the volume of traffic, enhancing visibility while lessening glare for other drivers.
Driver Monitoring: ML systems can keep an eye on the actions and attention levels of the driver, spot indicators of distraction or tiredness, and issue alerts or help prevent collisions.
5. Obstacles and Prospects for the Future
Despite the many advantages of ML-enabled ADAS, there are still a number of obstacles that must be overcome for widespread acceptance and continued development:
Data Quantity and Quality: For ML models to learn efficiently, they need a lot of high-quality data. It might be a big job to gather and annotate a variety of representative driving data. Robustness and Safety: To manage a range of environmental variables and situations, ML models need to be reliable and robust. Gaining the public’s trust requires ensuring the ADAS’s safety and integrity above all else.
Regulatory and Legal Issues: The combination of ML and ADAS creates a number of intricate regulatory and legal issues, including those pertaining to data privacy and liability in the event of accidents.
Human-Machine Interaction: The difficulty lies in achieving smooth and natural interactions between drivers and machines as ADAS systems become increasingly autonomous.
The future of ML with ADAS is really promising. Even more powerful ADAS functions and a safer driving experience will result from the development of increasingly complex ML models and the growing accessibility of high-quality data. We should also expect future developments toward completely autonomous vehicles as ML models develop.
VCU And Vehicle-to-vehicle (V2V) Communication | Dorleco VCU And Vehicle-to-vehicle (V2V) Communication | Dorleco
Conclusion
The automotive landscape is changing as a result of the unbreakable partnership between machine learning and advanced driver assistance systems. Driving becomes safer and more convenient as a result of ML-powered ADAS, which equips vehicles with improved perception, decision-making skills, and adaptive control.
Even though there are still difficulties, the constant pursuit of innovation and cooperation between scientists, businesses, and decision-makers will definitely get us one step closer to a time when roads are self-driving and accident-free. To make sure that ML-driven ADAS fulfills its potential as a game-changing force in the automobile industry, it is crucial that we put safety, ethics, and regulatory frameworks first as we adopt this technology.
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As part of the Humanitarian Assistance Program for the U.S. Embassy and U.S. SOUTHCOM, we delivered food and televisions to Mahaica Children's Home in support of the Ministry of Social Services.
More people will now benefit from enhancements to the Rental Assistance Program (RAP) and the Shelter Aid for Elderly Renters (SAFER) program, helping low-income families and seniors afford their rent.
Learn more: news.gov.bc.ca/32181
Working closely with U.S. Forces, coalition partners and Afghan government officials, Soldiers from the J9 section of Joint Sustainment Command - Afghanistan helped coordinate the donation of essential supplies - such as book bags, notebooks, and wheelchairs - to help aid the citizens of Afghanistan and support the opening of a new police station, school, and medical clinic in Howz-e Madad, in the Zharay District of Kandahar Province, Afghanistan.
Soldiers working in the JSC-A Humanitarian Assistance Yard receive a certificate of appreciation from the JSC-A command for their hard work and commitment to excellence during their deployment, August 18, Kandahar Airfield, Afghanistan.
One of the thousands of medical aid beneficiaries of partylist representatives read a letter in support of the Batasan 6 which they later furnished top House leaders on March 22.
(FORT BENNING, Ga) - Col. Thomas M. Hough relinquishes command of the 1st Security Force Assistance Brigade to Col. Christopher S. Landers in a ceremony held on July 12, 2021 at 1st SFAB Headquarters. Maj. Gen. Scott A. Jackson was the reviewing officer. (U.S. Army photo by Patrick Albright, Maneuver Center of Excellence, Fort Benning Public Affairs)